Peptides and combination of peptides for use in immunotherapy against various tumors

Abstract

The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

Claims

1. A peptide consisting of the amino acid sequence of SEQ ID NO: 169 in the form of a pharmaceutically acceptable salt.

2. The peptide according to claim 1, wherein the pharmaceutically acceptable salt is a chloride salt, acetate salt, or trifluoro-acetate salt.

3. A pharmaceutical composition comprising the peptide according to claim 1 and a pharmaceutically acceptable carrier.

4. The pharmaceutical composition according to claim 3, wherein the pharmaceutically acceptable carrier is selected from the group consisting of saline, Ringer's solution and dextrose solution.

5. The pharmaceutical composition according to claim 3, further comprising pharmaceutically acceptable excipients and/or stabilizers.

6. The pharmaceutical composition according to claim 5, wherein said pharmaceutically acceptable excipients are selected from the group consisting of buffers, binding agents, diluents, flavors, and lubricants.

7. The peptide of claim 2, wherein the pharmaceutically acceptable salt is the trifluro-acetate salt.

8. The peptide of claim 2, wherein the pharmaceutically acceptable salt is chloride salt.

9. A pharmaceutical composition comprising the peptide of claim 1 and an immune-enhancing amount of an adjuvant.

10. The pharmaceutical composition according to claim 9, wherein the adjuvant is selected from the group consisting of anti-CD40 antibody, imiquimod, resiquimod, GM-CSF, cyclophosphamide, sunitinib, bevacizumab, interferon-alpha, interferon-beta, CpG oligonucleotides and derivatives, poly-(I:C) and derivatives, RNA, sildenafil, particulate formulations with poly(lactide co-glycolide) (PLG), virosomes, interleukin (IL)-1, IL-2, IL-4, IL-7, IL-12, IL-13, IL-15, IL-21, and IL-23.

11. An acylated or pegylated peptide consisting of the amino acid sequence of SEQ ID NO: 169 or a pharmaceutically acceptable salt thereof.

12. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-1.

13. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-2.

14. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-4.

15. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-7.

16. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-12.

17. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-13.

18. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-15.

19. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-21.

20. The pharmaceutical composition of claim 10, wherein the adjuvant is IL-23.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) FIGS. 1A-1J show the over-presentation of various peptides in different cancer tissues compared to normal tissues. The analyses included data from more than 170 normal tissue samples, and 376 cancer samples. Shown are only samples where the peptide was found to be presented. FIG. 1A) Gene: CENPE, Peptide: KLQEKIQEL (SEQ ID NO.: 1), Tissues from left to right: 4 leucocytic cancer cell lines, 1 pancreatic cancer cell line, 1 melanoma cell line, 2 normal tissue samples (1 adrenal gland, 1 spleen), 31 primary cancer tissue samples (1 brain cancer, 4 colon cancers, 1 esophageal cancer, 1 kidney cancer, 2 liver cancers, 16 lung cancers, 4 ovarian cancers, 1 rectum cancer, 1 gastric cancer), FIG. 1B) Gene: KIF15, Peptide: QLIEKNWLL (SEQ ID NO.: 10), Tissues from left to right: 5 leucocytic cancer cell lines, 1 pancreatic cancer cell line, 1 myeloid leukemia cell line, 1 normal tissue sample (1 adrenal gland), 29 cancer tissue samples (4 colon cancers, 2 esophageal cancers, 1 leukocytic cancer, 1 liver cancer, 10 lung cancers, 11 ovarian cancers), FIG. 1C) Gene: HAVCR1, Peptide: LLDPKTIFL (SEQ ID NO.: 11), Tissues from left to right: 1 kidney cancer cell line, 13 cancer tissue samples (8 kidney cancers, 1 liver cancer, 2 lung cancers, 2 rectal cancers), FIG. 1D) Gene: RPGRIP1L, Peptide: RLHDENILL (SEQ ID NO.: 13), Tissues from left to right: 1 kidney cancer cell lines, 1 prostate cancer cell line, 1 melanoma cell line, 50 cancer tissue samples (4 brain cancers, 1 colon cancer, 2 esophageal cancers, 3 kidney cancers, 2 liver cancers, 23 lung cancers, 7 ovarian cancers, 2 pancreatic cancers, 2 prostate cancers, 3 rectum cancers, 1 gastric cancer), FIG. 1 E-J show the over-presentation of various peptides in different cancer tissues compared to normal tissues. The analyses included data from more than 320 normal tissue samples, and 462 cancer samples. Shown are only samples where the peptide was found to be presented. FIG. 1E) Gene: DNAH14, Peptide: SVLEKEIYSI (SEQ ID NO.: 2), Tissues from left to right: 4 cell lines (3 blood cells, 1 pancreatic), 2 normal tissues (1 lymph node, 1 trachea), 52 cancer tissues (2 bile duct cancers, 1 myeloid cells cancer, 3 leukocytic leukemia cancers, 5 breast cancers, 1 esophageal cancer, 1 esophagus and stomach cancer, 1 gallbladder cancer, 4 colon cancers, 7 lung cancers, 6 lymph node cancers, 7 ovarian cancers, 4 prostate cancers, 4 skin cancers, 2 urinary bladder cancers, 4 uterus cancers), FIG. 1 F) Gene: MAGEA3, MAGEA6, Peptide: KIWEELSVLEV (SEQ ID NO.: 40), Tissues from left to right: 8 cancer tissues (1 liver cancer, 3 lung cancers, 2 skin cancers, 1 stomach cancer, 1 urinary bladder cancer), FIG. 1G) Gene: HMX1, Peptide: FLIENLLAA (SEQ ID NO.: 67), Tissues from left to right: 7 cancer tissues (4 brain cancers, 2 lung cancers, 1 uterus cancer), FIG. 1H) Gene: CCDC138, Peptide: FLLEREQLL (SEQ ID NO.: 84), Tissues from left to right: 3 cell lines (2 blood cells, 1 skin), 24 cancer tissues (1 myeloid cells cancer, 3 leukocytic leukemia cancers, 1 bone marrow cancer, 1 breast cancer, 1 kidney cancer, 2 colon cancers, 3 rectum cancers, 1 lung cancer, 7 lymph node cancers, 3 urinary bladder cancers, 1 uterus cancer), FIG. 1I) Gene: CLSPN, Peptide: SLLNQPKAV (SEQ ID NO.: 235), Tissues from left to right: 13 cell lines (3 blood cells, 2 kidney, 8 pancreas), 30 cancer tissues (1 myeloid cells cancer, 1 leukocytic leukemia cancer, 2 brain cancers, 2 breast cancers, 2 esophageal cancers, 1 gallbladder cancer, 1 rectum cancer, 2 liver cancers, 4 lung cancers, 5 lymph node cancers, 2 ovarian cancers, 2 skin cancers, 4 urinary bladder cancers, 1 uterus cancer), FIG. 1J) Gene: SPC25, Peptide: GLAEFQENV (SEQ ID NO.: 243), Tissues from left to right: 3 cell lines (1 blood cells, 1 kidney, 1 pancreas), 67 cancer tissues (1 bile duct cancer, 4 leukocytic leukemia cancers, 1 myeloid cells cancer, 2 brain cancers, 3 breast cancers, 4 esophageal cancers, 2 gallbladder cancers, 2 colon cancers, 1 rectum cancer, 2 liver cancers, 15 lung cancers, 8 lymph node cancers, 9 ovarian cancers, 3 skin cancers, 4 urinary bladder cancers, 6 uterus cancers).

(2) FIGS. 2A-2H show exemplary expression profiles (relative expression compared to normal kidney) of source genes of the present invention that are highly over-expressed or exclusively expressed in different cancers compared to a panel of normal tissues. FIG. 2A) PRIM2—Tissues from left to right: adrenal gland, artery, bone marrow, brain (whole), breast, colon, esophagus, heart, kidney (triplicate), leukocytes, liver, lung, lymph node, ovary, pancreas, placenta, prostate, salivary gland, skeletal muscle, skin, small intestine, spleen, stomach, testis, thymus, thyroid gland, urinary bladder, uterine cervix, uterus, vein (each normal sample represents a pool of several donors), 22 individual prostate cancer samples, FIG. 2B) CHEK1—Tissues from left to right: adrenal gland, artery, bone marrow, brain (whole), breast, colon, esophagus, heart, kidney (triplicate), leukocytes, liver, lung, lymph node, ovary, pancreas, placenta, prostate, salivary gland, skeletal muscle, skin, small intestine, spleen, stomach, testis, thymus, thyroid gland, urinary bladder, uterine cervix, uterus, vein (each normal sample represents a pool of several donors), 3 individual normal colon samples, 10 individual colorectal cancer samples, FIG. 2C) TTC30A—Tissues from left to right: adrenal gland, artery, bone marrow, brain (whole), breast, colon, esophagus, heart, kidney (triplicate), leukocytes, liver, lung, lymph node, ovary, pancreas, placenta, prostate, salivary gland, skeletal muscle, skin, small intestine, spleen, stomach, testis, thymus, thyroid gland, urinary bladder, uterine cervix, uterus, vein (each normal sample represents a pool of several donors), 30 individual brain cancer samples, FIG. 2D) TRIP13—Tissues from left to right: adrenal gland, artery, bone marrow, brain (whole), breast, colon, esophagus, heart, kidney (triplicate), leukocytes, liver, lung, lymph node, ovary, pancreas, placenta, prostate, salivary gland, skeletal muscle, skin, small intestine, spleen, stomach, testis, thymus, thyroid gland, urinary bladder, uterine cervix, uterus, vein (each normal sample represents a pool of several donors), 1 individual normal lung sample, 38 individual lung cancer samples, FIG. 2E) MXRA5—Tissues from left to right: adrenal gland, artery, bone marrow, brain (whole), breast, colon, esophagus, heart, kidney (triplicate), leukocytes, liver, lung, lymph node, ovary, pancreas, placenta, prostate, salivary gland, skeletal muscle, skin, small intestine, spleen, stomach, testis, thymus, thyroid gland, urinary bladder, uterine cervix, uterus, vein (each normal sample represents a pool of several donors), 9 individual pancreatic cancer samples. FIG. 2 F-H show exemplary expression profiles of source genes of the present invention that are highly over-expressed or exclusively expressed in cancer in a panel of normal tissues (white bars) and different cancer samples (black bars). FIG. 2F) MMP11, MMP13 (Seq ID No 24)—Tissues from left to right: 80 normal tissue samples (6 arteries, 2 blood cells, 2 brains, 1 heart, 2 livers, 3 lungs, 2 veins, 1 adipose tissue, 1 adrenal gland, 5 bone marrows, 1 cartilage, 1 colon, 1 esophagus, 2 eyes, 2 gallbladders, 1 kidney, 6 lymph nodes, 4 pancreases, 2 peripheral nerves, 2 pituitary glands, 1 rectum, 2 salivary glands, 2 skeletal muscles, 1 skin, 1 small intestine, 1 spleen, 1 stomach, 1 thyroid gland, 7 tracheas, 1 urinary bladder, 1 breast, 5 ovaries, 5 placentas, 1 prostate, 1 testis, 1 thymus, 1 uterus), 50 cancer samples (10 breast cancers, 4 bile duct cancers, 6 gallbladder cancers, 11 esophagus cancers, 10 urinary bladder cancers, 10 uterus cancers), FIG. 2G) HORMAD1 (Seq ID No 168)—Tissues from left to right: 80 normal tissue samples (6 arteries, 2 blood cells, 2 brains, 1 heart, 2 livers, 3 lungs, 2 veins, 1 adipose tissue, 1 adrenal gland, 5 bone marrows, 1 cartilage, 1 colon, 1 esophagus, 2 eyes, 2 gallbladders, 1 kidney, 6 lymph nodes, 4 pancreases, 2 peripheral nerves, 2 pituitary glands, 1 rectum, 2 salivary glands, 2 skeletal muscles, 1 skin, 1 small intestine, 1 spleen, 1 stomach, 1 thyroid gland, 7 tracheas, 1 urinary bladder, 1 breast, 5 ovaries, 5 placentas, 1 prostate, 1 testis, 1 thymus, 1 uterus), 41 cancer samples (10 breast cancers, 10 skin cancers, 11 non-small cell lung cancers, 10 small cell lung cancers), FIG. 2H) IGF2BP1, IGF2BP3 (Seq ID No 274)—Tissues from left to right: 80 normal tissue samples (6 arteries, 2 blood cells, 2 brains, 1 heart, 2 livers, 3 lungs, 2 veins, 1 adipose tissue, 1 adrenal gland, 5 bone marrows, 1 cartilage, 1 colon, 1 esophagus, 2 eyes, 2 gallbladders, 1 kidney, 6 lymph nodes, 4 pancreases, 2 peripheral nerves, 2 pituitary glands, 1 rectum, 2 salivary glands, 2 skeletal muscles, 1 skin, 1 small intestine, 1 spleen, 1 stomach, 1 thyroid gland, 7 tracheas, 1 urinary bladder, 1 breast, 5 ovaries, 5 placentas, 1 prostate, 1 testis, 1 thymus, 1 uterus), 53 cancer samples (4 bile duct cancers, 6 gallbladder cancers, 10 lymph node cancers, 12 ovary cancers, 11 esophagus cancers, 10 lung cancers).

(3) FIGS. 3A and 3B show exemplary immunogenicity data: flow cytometry results after peptide-specific multimer staining.

(4) FIGS. 4A-4R show in the upper part: Median MS signal intensities from technical replicate measurements are plotted as colored dots for single HLA-A*02 positive normal (green or grey dots) and tumor samples (red dots) on which the peptide was detected. Tumor and normal samples are grouped according to organ of origin, and box-and-whisker plots represent median, 25th and 75th percentile (box), and minimum and maximum (whiskers) of normalized signal intensities over multiple samples. Normal organs are ordered according to risk categories (blood cells, cardiovascular system, brain, liver, lung: high risk, dark green dots; reproductive organs, breast, prostate: low risk, grey dots; all other organs: medium risk; light green dots). Lower part: The relative peptide detection frequency in every organ is shown as spine plot. Numbers below the panel indicate number of samples on which the peptide was detected out of the total number of samples analyzed for each organ (N=298 for normal samples, N=461 for tumor samples). If the peptide has been detected on a sample but could not be quantified for technical reasons, the sample is included in this representation of detection frequency, but no dot is shown in the upper part of the figure. Tissues (from left to right): Normal samples: artery; blood cells; brain; heart; liver; lung; vein; adipose: adipose tissue; adren.gl.: adrenal gland; BM: bone marrow; colorect: colon and rectum; duod: duodenum; esoph: esophagus; gallb: gallbladder; LN: lymph node; panc: pancreas; parathyr: parathyroid gland; perit: peritoneum; pituit: pituitary; sal.gland: salivary gland; skel.mus: skeletal muscle; skin; sm.int: small intestine; spleen; stomach; thyroid; trachea; ureter; bladder; breast; ovary; placenta; prostate; testis; thymus; uterus. Tumor samples: AML: acute myeloid leukemia; PCA: prostate cancer; BRCA: breast cancer; CLL: chronic lymphocytic leukemia; CRC: colorectal cancer; GALB: gallbladder cancer; HCC: hepatocellular carcinoma; MEL: melanoma; NHL: non-hodgkin lymphoma; OC: ovarian cancer; OSCAR: esophageal cancer; OSC_GC: esophageal/gastric cancer; PC: pancreatic cancer; GB: glioblastoma; GC: gastric cancer; NSCLC: non-small cell lung cancer; RCC: renal cell carcinoma; SCLC: small cell lung cancer; UBC: urinary bladder carcinoma; UEC: uterine and endometrial cancer.

(5) FIGS. 5A-5R show exemplary expression profiles of source genes of the present invention that are over-expressed in different cancer samples. Tumor (red dots) and normal (green or grey dots) samples are grouped according to organ of origin, and box-and-whisker plots represent median, 25th and 75th percentile (box), and minimum and maximum (whiskers) RPKM values. Normal organs are ordered according to risk categories. RPKM=reads per kilobase per million mapped reads. Normal samples: artery; blood cells; brain; heart; liver; lung; vein; adipose: adipose tissue; adren.gl.: adrenal gland; BM: bone marrow; cartilage; colorect: colon and rectum; esoph: esophagus; eye; gallb: gallbladder; kidney; LN: lymph node; nerve; panc: pancreas; pituit: pituitary; sal.gland: salivary gland; skel.mus: skeletal muscle; skin; sm.int: small intestine; spleen; stomach; thyroid; trachea; bladder; breast; ovary; placenta; prostate; testis; thymus; uterus. Tumor samples: AML: acute myeloid leukemia; PCA: prostate cancer; BRCA: breast cancer; CLL: chronic lymphocytic leukemia; CRC: colorectal cancer; GALB: gallbladder cancer; HCC: hepatocellular carcinoma; MEL: melanoma; NHL: non-hodgkin lymphoma; OC: ovarian cancer; OSCAR: esophageal cancer; PC: pancreatic cancer; GB: glioblastoma; GC: gastric cancer; NSCLC: non-small cell lung cancer; RCC: renal cell carcinoma; SCLC: small cell lung cancer; UBC: urinary bladder carcinoma; UEC: uterine and endometrial cancer.

(6) FIGS. 6A to 6M show exemplary results of peptide-specific in vitro CD8+ T cell responses of a healthy HLA-A*02+donor. CD8+ T cells were primed using artificial APCs coated with anti-CD28 mAb and HLA-A*02 in complex with for example SeqID No 11 peptide (FIG. 6A, left panel) or SeqID No 14 peptide (FIG. 6B, left panel), respectively (SeqID No 157 (FIG. 6C), 233 (FIG. 6D), 85 (FIG. 6E), 89 (FIG. 6F), 155 (FIG. 6G), 153 (FIG. 6H), 264 (FIG. 6I), 117 (FIG. 6J), 253 (FIG. 6K), 39 (FIG. 6L), and 203 (FIG. 6M)). After three cycles of stimulation, the detection of peptide-reactive cells was performed by 2D multimer staining with the relevant multimer, for example A*02/SeqID No 11 (FIG. 6A) or A*02/SeqID No 14 (FIG. 6B). Right panels (for example FIGS. 6A and 6B) show control staining of cells stimulated with irrelevant A*02/peptide complexes. Viable singlet cells were gated for CD8+ lymphocytes. Boolean gates helped excluding false-positive events detected with multimers specific for different peptides. Frequencies of specific multimer+ cells among CD8+ lymphocytes are indicated.

(7) FIGS. 7A-7C show the over-presentation of various peptides in different cancer tissues compared to normal tissues. The analyses included data from more than 320 normal tissue samples, and 462 cancer samples. Shown are only samples where the peptide was found to be presented. FIG. 7A) Gene: CCR8, Peptide: LLIPFTIFM (SEQ ID NO.: 43), Tissues from left to right: 16 cancer tissues (1 bile duct cancer, 1 breast cancer, 1 colon cancer, 7 lung cancers, 2 lymph node cancers, 3 ovarian cancers, 1 skin cancer); FIG. 7B) Gene: CXCR5, Peptide: ILVTSIFFL (SEQ ID NO.: 152), Tissues from left to right: 6 normal tissues (1 lymph node, 5 spleens), 16 cancer tissues (8 leukocytic leukemia cancers, 8 lymph node cancers); FIG. 7C) Gene: CYSLTR1, Peptide: VILTSSPFL (SEQ ID NO.: 156), Tissues from left to right: 3 normal tissues (1 lung, 1 lymph node, 1 spleen), 11 cancer tissues (2 breast cancers, 5 leukocytic leukemia cancers, 3 lymph node cancers, 1 myeloid cells cancer).

EXAMPLES

Example 1

(8) Identification and Quantitation of Tumor Associated Peptides Presented on the Cell Surface

(9) Tissue Samples

(10) Patients' tumor tissues were obtained from Asterand (Detroit, USA and Royston, Herts, UK); Val d'Hebron University Hospital (Barcelona); BioServe (Beltsville, Md., USA); Center for cancer immune therapy (CCIT), Herlev Hospital (Herlev); Geneticist Inc. (Glendale, Calif., USA); University Hospital of Geneva; University Hospital of Heidelberg; University Hospital of Munich; Kyoto Prefectural University of Medicine (KPUM); Osaka City University (OCU); ProteoGenex Inc., (Culver City, Calif., USA); University Hospital of Tubingen. Normal tissues were obtained from Bio-Options Inc., CA, USA; BioServe, Beltsville, Md., USA; Capital BioScience Inc., Rockville, Md., USA; Geneticist Inc., Glendale, Calif., USA; University Hospital of Geneva; University Hospital of Heidelberg; University Hospital Munich; ProteoGenex Inc., Culver City, Calif., USA; University Hospital of Tubingen. Written informed consents of all patients had been given before surgery or autopsy. Tissues were shock-frozen immediately after excision and stored until isolation of TUMAPs at −70° C. or below.

(11) Isolation of HLA Peptides from Tissue Samples

(12) HLA peptide pools from shock-frozen tissue samples were obtained by immune precipitation from solid tissues according to a slightly modified protocol (Falk et al., 1991; Seeger et al., 1999) using the HLA-A*02-specific antibody BB7.2, the HLA-A, -B, -C-specific antibody W6/32, CNBr-activated sepharose, acid treatment, and ultrafiltration.

(13) Mass Spectrometry Analyses

(14) The HLA peptide pools as obtained were separated according to their hydrophobicity by reversed-phase chromatography (nanoAcquity UPLC system, Waters) and the eluting peptides were analyzed in LTQ-velos and fusion hybrid mass spectrometers (ThermoElectron) equipped with an ESI source. Peptide pools were loaded directly onto the analytical fused-silica micro-capillary column (75 μm i.d.×250 mm) packed with 1.7 μm C18 reversed-phase material (Waters) applying a flow rate of 400 nL per minute. Subsequently, the peptides were separated using a two-step 180 minute-binary gradient from 10% to 33% B at a flow rate of 300 nL per minute. The gradient was composed of Solvent A (0.1% formic acid in water) and solvent B (0.1% formic acid in acetonitrile). A gold coated glass capillary (PicoTip, New Objective) was used for introduction into the nanoESI source. The LTQ-Orbitrap mass spectrometers were operated in the data-dependent mode using a TOP5 strategy. In brief, a scan cycle was initiated with a full scan of high mass accuracy in the Orbitrap (R=30 000), which was followed by MS/MS scans also in the Orbitrap (R=7500) on the 5 most abundant precursor ions with dynamic exclusion of previously selected ions. Tandem mass spectra were interpreted by SEQUEST and additional manual control. The identified peptide sequence was assured by comparison of the generated natural peptide fragmentation pattern with the fragmentation pattern of a synthetic sequence-identical reference peptide.

(15) Label-free relative LC-MS quantitation was performed by ion counting i.e. by extraction and analysis of LC-MS features (Mueller et al., 2007). The method assumes that the peptide's LC-MS signal area correlates with its abundance in the sample. Extracted features were further processed by charge state deconvolution and retention time alignment (Mueller et al., 2008; Sturm et al., 2008). Finally, all LC-MS features were cross-referenced with the sequence identification results to combine quantitative data of different samples and tissues to peptide presentation profiles. The quantitative data were normalized in a two-tier fashion according to central tendency to account for variation within technical and biological replicates. Thus each identified peptide can be associated with quantitative data allowing relative quantification between samples and tissues. In addition, all quantitative data acquired for peptide candidates was inspected manually to assure data consistency and to verify the accuracy of the automated analysis. For each peptide a presentation profile was calculated showing the mean sample presentation as well as replicate variations. The profiles juxtapose cancer samples to a baseline of normal tissue samples. Presentation profiles of exemplary over-presented peptides are shown in

(16) FIGS. 1A-1J. An overview of peptide presentation across entities is shown in Table 4 for selected peptides.

(17) TABLE-US-00006 TABLE 4 Overview of presentation of selected peptides across entities. A peptide was considered interesting in an entity if it was over-presented on cancer samples of this entity compared to normal tissues. MEL = melanoma, BRCA = breast cancer, OSCAR = esophageal carcinoma. BPH includes benign prostate hyperplasia as well as pancreatic cancer. SEQ ID NO. Sequence Entities of particular interest   1 KLQEKIQEL GB, GC, NSCLC, HCC, OC, RCC, CRC, PC, OSCAR   2 SVLEKEIYSI NSCLC, HCC, BPH, OC, CRC, PC   3 RVIDDSLVVGV NSCLC, HCC, OC, MEL, CRC, PC, OSCAR   4 VLFGELPAL GB, NSCLC, BRCA, RCC, PC, OC, PC   5 GLVDIMVHL NSCLC, RCC, OC   7 ALLQALMEL GC, NSCLC, RCC, CRC, PC   8 ALSSSQAEV GB, NSCLC, OC, CRC, PC   9 SLITGQDLLSV NSCLC, BPH, OC, MEL, PC, OSCAR  10 QLIEKNWLL NSCLC, OC, CRC, PC, HCC, CLL, OSCAR  11 LLDPKTIFL NSCLC, HCC, RCC, CRC  12 RLLDPKTIFL NSCLC, RCC  13 RLHDENILL GB, GC, NSCLC, HCC, BPH, OC, RCC, CRC, PC, OSCAR  14 YTFSGDVQL GC, NSCLC, CRC, PC, OSCAR  15 GLPSATTTV GC, NSCLC, OC, PC  16 SLADLSLLL NSCLC, HCC, PC  17 GLLPSAESIKL NSCLC, BPH, OC, OSCAR  18 KTASINQNV NSCLC, CRC, PC, OSCAR, OC  19 KVFELDLVTL GC, NSCLC, CRC, OSCAR  21 YLMDDFSSL PC, NSCLC  22 LMYPYIYHV GB, NSCLC, OC, OSCAR  23 ALLSPLSLA PC  24 KVWSDVTPL PC, NSCLC  25 LLWGHPRVALA CRC, PC, NSCLC  26 VLDGKVAVV HCC, MEL, OC, GB, GC, NSCLC  27 GLLGKVTSV NSCLC, BRCA  29 KMISAIPTL NSCLC, OC  34 TLNTLDINL OC, PC  35 VIIKGLEEI GC, NSCLC, OSCAR  36 TVLQELINV NSCLC, PC, OSCAR  37 QIVELIEKI GC, NSCLC, OSCAR  39 YLEDGFAYV GB, NSCLC, HCC, PC  40 KIWEELSVLEV GC, NSCLC, HCC, MEL  43 LLIPFTIFM NSCLC, MEL, CRC, OC  44 AVFNLVHVV GC, NSCLC, PC  46 ISLDEVAVSL GB, NSCLC, HCC, OC  47 GLNGFNVLL PC, OSCAR  48 KISDFGLATV GB, NSCLC, PC, OSCAR  49 KLIGNIHGNEV GB, NSCLC, OC  50 ILLSVLHQL NSCLC, CRC  51 LDSEALLTL GB, NSCLC, HCC  52 TIGIPFPNV NSCLC, PC, OC  53 AQHLSTLLL GC, NSCLC  54 YLVPGLVAA NSCLC, OC  55 HLFDKIIKI GC, CRC  56 VLQENSSDYQSNL NSCLC, HCC  57 TLYPGRFDYV NSCLC, PC  58 HLLGEGAFAQV NSCLC, PC  59 ALADGIKSFLL NSCLC, PC  60 YLFSQGLQGL NSCLC, PC  61 ALYPKEITL NSCLC, CRC  63 KLLPMVIQL NSCLC, PC  65 SLSEKSPEV NSCLC, OC, OSCAR, MEL  66 AMFPDTIPRV NSCLC, OC  67 FLIENLLAA GB, NSCLC  68 QLMNLIRSV HCC, PC  69 LKVLKADVVL GC, NSCLC  70 GLTEKTVLV NSCLC, PC  71 HMSGKLTNV NSCLC, PC  73 SVPKTLGV GB, RCC  74 GLAFLPASV GC, CRC  76 FTAEFLEKV NSCLC, PC, GB, OSCAR  77 ALYGNVQQV NSCLC, OC  82 ILAEEPIYIRV NSCLC, PC, OSCAR, OC  83 GLLENSPHL NSCLC, OC  84 FLLEREQLL NSCLC, MEL, RCC, CRC, PC  85 KLLDKPEQFL NSCLC, OC, MEL, CRC  86 SLFSNIESV NSCLC, BPH, CRC  88 LLLPLELSLA GB, NSCLC, PC  89 SLAETIFIV GC, NSCLC, OC  92 RLFEEVLGV NSCLC, HCC, OC, OC  93 RLYGYFHDA NSCLC, PC  94 YLDEVAFML NSCLC, HCC, OC  95 KLIDEDEPLFL NSCLC, OC  96 ALDTTRHEL NSCLC, PC  97 KLFEKSTGL NSCLC, CRC  98 FVQEKIPEL GC, CRC 100 ALQSFEFRV OC, RCC 101 SLLEVNEASSV GC, CLL 102 GLYPVTLVGV BPH, OC 114 LLFPSDVQTL PC, OSCAR 116 ALLSSVAEA NSCLC, OSCAR, OC 117 TLLEGISRA NSCLC, OC 134 SLYKSFLQL NSCLC, OSCAR, OC 137 KLIYKDLVSV NSCLC, OC, PC 146 VVAAHLAGA NSCLC, OSCAR, OC 158 YLDPLWHQL PC, OC 165 SLLDYEVSI NSCLC, OSCAR, OC 166 LLGDSSFFL NSCLC, HCC, OSCAR, OC, PC 170 FIAAVVEKV NSCLC, OC 175 SLLDLVQSL PC, OC 176 VQSGLRILL NSCLC, OSCAR 184 ALDSTIAHL NSCLC, OC 191 AAIEIFEKV NSCLC, OSCAR, OC 203 FLFVDPELV NSCLC, GC, OC 229 YLYELEHAL NSCLC, OC 233 SLFESLEYL NSCLC, OSCAR, OC 234 VLLNEILEQV GC, NSCLC, HCC, OC, MEL, RCC, CRC, PC, OSCAR 235 SLLNQPKAV GB, NSCLC, HCC, OC, MEL, CRC, PC, OSCAR 236 KMSELQTYV GB, NSCLC, HCC, OC, MEL, CRC, PC 237 ALLEQTGDMSL NSCLC, OC, MEL, CRC 239 VIIKGLEEITV GC, NSCLC, HCC, OC, MEL, CRC, PC 241 KQFEGTVEI NSCLC, MCC, OC, CRC, PC, OSCAR 242 KLQEEIPVL GB, NSCLC, CRC 243 GLAEFQENV GB, NSCLC, HCC, OC, CRC, PC, OSCAR 244 NVAEIVIHI GC, NSCLC 246 ALAGIVTNV NSCLC, HCC, OC, MEL, RCC 247 NLLIDDKGTIKL NSCLC, HCC, MEL, CRC, PC 248 VLMQDSRLYL NSCLC, CRC, PC 251 LLWGNLPEI NSCLC, MEL, CRC, PC, OC 252 SLMEKNQSL NSCLC, OC, CRC, OSCAR, RCC 253 KLLAVIHEL NSCLC, RCC, CRC, PC, OSCAR, OC 254 ALGDKFLLRV NSCLC, HCC, MEL, OC 255 FLMKNSDLYGA NSCLC, HCC, MEL, PC, OSCAR 256 FLNDIFERI NSCLC, HCC, CLL, OC 257 KLIDHQGLYL NSCLC, OC, CRC, OSCAR 258 QLVQRVASV NSCLC, OC 259 GPGIFPPPPPQP NSCLC, BPH, OSCAR, OC 260 ALNESLVEC NSCLC, MEL, OSCAR, OC 261 GLAALAVHL NSCLC, OC, MEL, CRC, PC, OSCAR 262 LLLEAVWHL NSCLC, CRC 263 SIIEYLPTL NSCLC, MEL, PC 264 TLHDQVHLL NSCLC, BPH, OC 265 FLLDKPQDLSI NSCLC, OC, RCC 266 FLLDKPQDL RCC, OC 267 YLLDMPLWYL NSCLC, RCC, CRC, OC, MEL 269 GLLDCPIFL NSCLC, CRC, OSCAR, OC 270 TLLTFFHEL GB, PC 271 VLIEYNFSI NSCLC, OC 272 FVMEGEPPKL NSCLC, OC 273 SLNKQIETV NSCLC, OC 274 TLYNPERTITV NSCLC, PC, HCC 277 KLQEELNKV HCC, OC 281 LLLESDPKVYSL PC, OC 284 KLMDPGSLPPL NSCLC, OC 287 KIQEILTQV GB, GC, NSCLC, HCC, CLL, OC, MEL, RCC, CRC, PC, OSCAR 288 SLYKGLLSV GB, NSCLC, HCC, BPH, OC, RCC, CRC, PC, OSCAR

(18) TABLE-US-00007 TABLE 4B Overview of presentation of selected peptides across entities. GB = glioblastoma, BRCA = breast cancer, CRC = colorectal cancer, RCC = renal cell carcinoma, CLL = chronic lymphocytic leukemia, HCC = hepatocellular carcinoma, NSCLC = non-small cell lung cancer, SCLC = small cell lung cancer, NHL = non-Hodgkin lymphoma, AML = acute myeloid leukemia, OC = ovarian cancer, PC = pancreatic cancer, BPH = prostate cancer and benign prostate hyperplasia, OSCAR = esophageal cancer, including cancer of the gastric-oesophageal junction, GBC_CCC = gallbladder adenocarcinoma and cholangiocarcinoma, MEL = melanoma, GC = gastric cancer, UBC = urinary bladder cancer, UTC = uterine cancer. SEQ ID NO. Sequence Additional entities of particular interest   1 KLQEKIQEL MEL, AML, NHL   2 SVLEKEIYSI GC, CLL, OSCAR, SCLC, UBC, UTC, BRCA, GBC_CCC, MEL, AML, NHL   3 RVIDDSLVVGV UBC   4 VLFGELPAL SCLC, UBC, UTC   5 GLVDIMVHL SCLC, UBC, BRCA, MEL, PC   6 FLNAIETAL RCC   7 ALLQALMEL CLL, OSCAR, OC, SCLC, UTC, BRCA, GBC_CCC, MEL, AML, NHL   8 ALSSSQAEV BPH, OSCAR, SCLC, UBC, UTC, BRCA, GBC_CCC, MEL, AML, NHL   9 SLITGQDLLSV SCLC, UBC, UTC, BRCA, GBC_CCC  10 QLIEKNWLL SCLC, UBC, UTC, BRCA, GBC_CCC, MEL, AML, NHL  11 LLDPKTIFL GBC_CCC  13 RLHDENILL SCLC, UBC, UTC, BRCA, MEL, AML, NHL  14 YTFSGDVQL SCLC, UBC, UTC, GBC_CCC, MEL  15 GLPSATTTV UBC, UTC, MEL  16 SLADLSLLL GB, GC, BPH, CLL, OSCAR, OC, SCLC, UBC, UTC, BRCA, GBC_CCC, MEL, RCC, CRC, AML, NHL  17 GLLPSAESIKL UBC  18 KTASINQNV SCLC, UBC, UTC, MEL  19 KVFELDLVTL AML, NHL  21 YLMDDFSSL OSCAR, OC, SCLC, UBC, BRCA, GBC_CCC, MEL, AML, NHL  22 LMYPYIYHV HCC, CLL, SCLC, UBC, BRCA, GBC_CCC, MEL, CRC, NHL  24 KVWSDVTPL BRCA  26 VLDGKVAVV CLL, UTC, NHL  27 GLLGKVTSV SCLC, UBC  28 IKVTDPQLLEL NSCLC, MEL  29 KMISAIPTL UTC  30 IITEVITRL OC, UTC  31 GLLETTGLLAT OC  33 TLDRNSLYV OC, UTC  34 TLNTLDINL UTC  35 VIIKGLEEI OC  36 TVLQELINV UBC, UTC, MEL, CRC, AML, NHL  38 VLQQESNFL AML  39 YLEDGFAYV CLL, UBC, UTC, MEL, NHL  40 KIWEELSVLEV SCLC, UBC  41 IVTEIISEI CLL, SCLC, UTC, GBC_CCC, AML, NHL  43 LLIPFTIFM SCLC, GBC_CCC, NHL  46 ISLDEVAVSL BRCA  47 GLNGFNVLL SCLC, UTC, GBC_CCC, MEL, CRC, AML, NHL  48 KISDFGLATV OC, MEL  51 LDSEALLTL BRCA  52 TIGIPFPNV MEL, NHL  53 AQHLSTLLL SCLC, GBC_CCC  56 VLQENSSDYQSNL UTC  57 TLYPGRFDYV OSCAR, UBC  59 ALADGIKSFLL BRCA, MEL  64 SLYAGSNNQV NSCLC  65 SLSEKSPEV HCC, SCLC, UBC, UTC, BRCA, NHL  67 FLIENLLAA UTC  68 QLMNLIRSV UBC, AML  70 GLTEKTVLV CRC, AML, NHL  75 ALLDGALQL GC, CRC  76 FTAEFLEKV UBC, MEL, AML, NHL  77 ALYGNVQQV BRCA, NHL  78 LFQSRIAGV BPH  80 VLTGQVHEL GB  83 GLLENSPHL BRCA, MEL, AML, NHL  84 FLLEREQLL CLL, UBC, UTC, BRCA, AML, NHL  85 KLLDKPEQFL NHL  86 SLFSNIESV SCLC, BRCA, GBC_CCC  87 KLLSLLEEA NSCLC, BPH  89 SLAETIFIV SCLC, GBC_CCC, RCC, NHL  90 AILNVDEKNQV OC  91 LLPSIFLMV OC  92 RLFEEVLGV OSCAR, SCLC, UBC, BRCA, AML  94 YLDEVAFML UBC, BRCA, GBC_CCC  95 KLIDEDEPLFL SCLC, UTC, GBC_CCC  96 ALDTTRHEL OSCAR, UBC, UTC  98 FVQEKIPEL GBC_CCC  99 TLFGIQLTEA GC, GBC_CCC 101 SLLEVNEASSV NHL 102 GLYPVTLVGV SCLC, BRCA, AML 103 YLADTVQKL NSCLC 104 DLPTQEPALGTT BPH 106 VLLGSVVIFA BPH 108 FIANLPPELKA BPH 109 ILGSFELQL BPH 110 QIQGQVSEV BPH 112 ILAQDVAQL MEL, AML, NHL 113 FLFLKEVKV CRC 116 ALLSSVAEA SCLC, BRCA, CRC 117 TLLEGISRA BRCA 118 IAYNPNGNAL NSCLC, CLL, AML 119 SLIEESEEL OC, UTC 121 ALYVQAPTV NSCLC, UTC, NHL 122 SIIDTELKV AML 124 ALLLRLFTI NSCLC 128 SILTNISEV NSCLC 129 KMASKVTQV HCC 130 QLYGSAITL HCC 132 ALLNNVIEV HCC, BRCA 133 FLDGRPLTL UTC, MEL 135 HLDTVKIEV GB 136 LLWDAPAKC CRC 139 IILENIQSL UBC, BRCA, AML 140 FLDSQITTV MEL 142 LLDAAHASI NSCLC 143 MLWESIMRV NSCLC, UTC 144 FLISQTPLL NSCLC, SCLC, UBC 145 ALEEKLENV NSCLC 146 VVAAHLAGA GC, MEL 147 GLLSALENV CLL, NHL 148 YLILSSHQL CLL, NHL 150 VLLDMVHSL HCC, UTC 151 DISKRIQSL NSCLC 152 ILVTSIFFL CLL, NHL 153 KLVELEHTL GC, NSCLC, OSCAR 154 AIIKEIQTV GB, NSCLC, HCC, UBC, MEL 155 TLDSYLKAV OC, BRCA 156 VILTSSPFL CLL, BRCA, AML, NHL 157 ILQDGQFLV HCC, UBC 158 YLDPLWHQL CLL, MEL, NHL 159 QLGPVPVTI UBC, RCC, NHL 160 TLQEWLTEV NSCLC, GBC_CCC 161 NLLDENVCL CRC 162 GLLGNLLTSL NSCLC 163 GLEERLYTA NSCLC, CLL, AML, NHL 164 MLIIRVPSV NSCLC 165 SLLDYEVSI GBC_CCC 166 LLGDSSFFL CLL, UBC, UTC, BRCA, GBC_CCC, MEL, AML 167 LVVDEGSLVSV OC, SCLC 168 VIFEGEPMYL NSCLC, BRCA, NHL 169 ALADLSVAV NSCLC, HCC, OSCAR, OC, UBC, UTC, GBC_CCC, MEL, AML 170 FIAAVVEKV SCLC, NHL 171 LLLLDVPTA NSCLC, UTC, BRCA, CRC, NHL 172 SLYLQMNSLRTE NSCLC 173 RLIDIYKNV OC 174 ALYSGDLHAA HCC 175 SLLDLVQSL BRCA, AML, NHL 177 ALINVLNAL AML 179 TLGEIIKGV NSCLC 180 RLYEEEIRI NSCLC 181 LLWAPTAQA GB, NSCLC, RCC, CRC 182 GLQDGFQITV GC 183 ALSYILPYL NSCLC, SCLC, UTC, BRCA, CRC, AML, NHL 184 ALDSTIAHL UTC, MEL 185 TLYQGLPAEV GC, NSCLC, HCC, OSCAR, OC, UBC, UTC, BRCA, RCC, CRC 186 SLLSLESRL GC 187 SILKEDPFL NSCLC 188 VLGEEQEGV NSCLC 189 MAVSDLLIL GB 190 SLSTELFKV HCC 192 TLLPSSGLVTL BRCA 193 ALFHMNILL NSCLC 194 KLLEEVQLL NSCLC 195 VIIQNLPAL CRC 196 TLHOWIYYL CRC 198 ILTNKVVSV OC 199 SVADLAHVL GC 200 IMPTFDLTKV HCC 201 LLFSLLCEA BPH 203 FLFVDPELV CRC, AML, NHL 204 SEWGSPHAAVP PC 205 LAFGYDDEL HCC 206 GLDAFRIFL CRC 207 KLFETVEEL GB 208 HLNNDRNPL BPH 210 GLAGDNIYL RCC 211 LLTTVLINA RCC 212 MTLSEIHAV CRC 213 ILAVDGVLSV NSCLC, BRCA, MEL 214 ALFETLIQL HCC 215 QIADIVTSV HCC 216 ALSTVTPRI HCC 217 LLWPSSVPA GB, MEL, AML 220 ALSELERVL BPH, UTC 221 IMLNSVEEI BPH, NHL 222 LLTGVFAQL CLL, UTC, BRCA, CRC, NHL 223 ALHPVQFYL OC, CRC 224 LLFDWSGTGRADA GBC_CCC 225 FLPQPVPLSV CLL, MEL, NHL 226 SLAGNLQEL GB 227 SEMEELPSV HCC 228 SLLELDGINLRL NSCLC 230 KLLNMIFSI BPH 231 LLDDIFIRL MEL 233 SLFESLEYL UTC, RCC 234 VLLNEILEQV CLL, SCLC, UBC, UTC, BRCA, AML, NHL 235 SLLNQPKAV SCLC, UBC, UTC, BRCA, GBC_CCC, AML, NHL 236 KMSELQTYV GC, BPH, CLL, OSCAR, SCLC, UBC, UTC, BRCA, GBC_CCC, RCC, AML, NHL 237 ALLEQTGDMSL SCLC, UBC, BRCA, AML, NHL 238 HLQEKLQSL HCC 239 VIIKGLEEITV CLL, SCLC, UBC, UTC, AML, NHL 240 SVQENIQQK RCC, NHL 241 KQFEGTVEI CLL, NHL 242 KLQEEIPVL BRCA, MEL, NHL 243 GLAEFQENV CLL, SCLC, UBC, UTC, BRCA, GBC_CCC, MEL, AML, NHL 244 NVAEIVIHI GB 245 ALLEEEEGV NSCLC, UBC, GBC_CCC 246 ALAGIVTNV GB, CLL, SCLC, BRCA, GBC_CCC, AML 248 VLMQDSRLYL CLL, UBC, UTC, AML, NHL 251 LLWGNLPEI CLL, SCLC, UTC, GBC_CCC, AML, NHL 252 SLMEKNQSL AML 253 KLLAVIHEL UBC, BRCA, GBC_CCC, MEL, AML, NHL 254 ALGDKFLLRV NHL 255 FLMKNSDLYGA UBC, UTC, GBC_CCC, AML, NHL 256 FLNDIFERI UTC, MEL, AML, NHL 258 QLVQRVASV UBC, NHL 260 ALNESLVEC SCLC, UBC, UTC, CRC, AML, NHL 261 GLAALAVHL GC, CLL, SCLC, UBC, UTC, BRCA, GBC_CCC, AML, NHL 262 LLLEAVWHL BRCA, NHL 263 SIIEYLPTL CLL, OSCAR, OC, SCLC, UBC, GBC_CCC, AML, NHL 264 TLHDQVHLL UTC, BRCA, GBC_CCC, MEL 265 FLLDKPQDLSI GBC_CCC 267 YLLDMPLWYL AML, NHL 269 GLLDCPIFL CLL, UTC, AML, NHL 270 TLLTFFHEL UTC, GBC_CCC, AML, NHL 271 VLIEYNFSI CLL, SCLC, MEL, AML, NHL 272 FVMEGEPPKL CLL, UTC 273 SLNKQIETV AML 275 AVPPPPSSV NSCLC, HCC 276 RMPTVLQCV BPH 277 KLQEELNKV NSCLC, OSCAR, UBC, BRCA, NHL 279 VLMDEGAVLTL CLL, CRC, NHL 280 HLWGHALFL HCC 281 LLLESDPKVYSL OSCAR, SCLC 282 SLYALHVKA OC, SCLC 283 ALSELLQQV NSCLC, HCC, OC, SCLC, UTC, MEL, CRC, AML, NHL 285 MLLDTVQKV NSCLC 286 FLTEMVHFI NSCLC, CLL, SCLC, UBC, NHL

Example 2

(19) Expression Profiling of Genes Encoding the Peptides of the Invention

(20) Over-presentation or specific presentation of a peptide on tumor cells compared to normal cells is sufficient for its usefulness in immunotherapy, and some peptides are tumor-specific despite their source protein occurring also in normal tissues. Still, mRNA expression profiling adds an additional level of safety in selection of peptide targets for immunotherapies. Especially for therapeutic options with high safety risks, such as affinity-matured TCRs, the ideal target peptide will be derived from a protein that is unique to the tumor and not found on normal tissues. For this invention, normal tissue expression of all source genes was shown to be minimal based on the above-described database of RNA expression data covering about 3000 normal tissue samples. Further RNA analyses of normal and tumor tissues were added in case of some cancer entities (HCC, CRC, GB, GC, NSCLC, PC, RCC, BPH/PCA) to estimate the target coverage in the population of patients having the respective cancer.

(21) RNA Sources and Preparation

(22) Surgically removed tissue specimens were provided as indicated above (see Example 1) after written informed consent had been obtained from each patient. Tumor tissue specimens were snap-frozen immediately after surgery and later homogenized with mortar and pestle under liquid nitrogen. Total RNA was prepared from these samples using TRI Reagent (Ambion, Darmstadt, Germany) followed by a cleanup with RNeasy (QIAGEN, Hilden, Germany); both methods were performed according to the manufacturer's protocol.

(23) Total RNA from healthy human tissues was obtained commercially (Ambion, Huntingdon, UK; Clontech, Heidelberg, Germany; Stratagene, Amsterdam, Netherlands; BioChain, Hayward, Calif., USA). The RNA from several individuals (between 2 and 123 individuals) was mixed such that RNA from each individual was equally weighted. Quality and quantity of all RNA samples were assessed on an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) using the RNA 6000 Pico LabChip Kit (Agilent).

(24) Total RNA from healthy human tissues for RNASeq experiments was obtained from: Asterand (Detroit, Mich., USA & Royston, Herts, UK), BioCat GmbH (Heidelberg, Germany), BioServe (Beltsville, Md., USA), Capital BioScience Inc. (Rockville, Md., USA), Geneticist Inc. (Glendale, Calif., USA), Istituto Nazionale Tumori “Pascale” (Naples, Italy), ProteoGenex Inc. (Culver City, Calif., USA), University Hospital Heidelberg (Heidelberg, Germany)

(25) Total RNA from tumor tissues for RNASeq experiments was obtained from: Asterand (Detroit, Mich., USA & Royston, Herts, UK), Bio-Options Inc. (Brea, Calif., USA), BioServe (Beltsville, Md., USA), Geneticist Inc. (Glendale, Calif., USA), ProteoGenex Inc. (Culver City, Calif., USA), Tissue Solutions Ltd (Glasgow, UK), University Hospital Bonn (Bonn, Germany), University Hospital Heidelberg (Heidelberg, Germany), University Hospital Tubingen (Tubingen, Germany)

(26) Microarray Experiments

(27) Coverage was estimated by analysis of RNA expression profiles (Affymetrix microarrays) of 30 GB, 16 CRC, 56 RCC, 12 HCC, 38 NSCLC, 11 PC, 34 GC, and 20 prostate cancer samples.

(28) Gene expression analysis of all tumor and normal tissue RNA samples was performed by Affymetrix Human Genome (HG) U133A or HG-U133 Plus 2.0 oligonucleotide microarrays (Affymetrix, Santa Clara, Calif., USA). All steps were carried out according to the Affymetrix manual. Briefly, double-stranded cDNA was synthesized from 5-8 μg of total RNA, using SuperScript RTII (Invitrogen) and the oligo-dT-T7 primer (MWG Biotech, Ebersberg, Germany) as described in the manual. In vitro transcription was performed with the BioArray High Yield RNA Transcript Labelling Kit (ENZO Diagnostics, Inc., Farmingdale, N.Y., USA) for the U133A arrays or with the GeneChip IVT Labelling Kit (Affymetrix) for the U133 Plus 2.0 arrays, followed by cRNA fragmentation, hybridization, and staining with streptavidin-phycoerythrin and biotinylated anti-streptavidin antibody (Molecular Probes, Leiden, Netherlands). Images were scanned with the Agilent 2500A GeneArray Scanner (U133A) or the Affymetrix Gene-Chip Scanner 3000 (U133 Plus 2.0), and data were analyzed with the GCOS software (Affymetrix), using default settings for all parameters. For normalization, 100 housekeeping genes provided by Affymetrix were used. Relative expression values were calculated from the signal log ratios given by the software and the normal kidney sample was arbitrarily set to 1.0. Exemplary expression profiles of source genes of the present invention that are highly over-expressed or exclusively expressed in HCC, CRC, GB, GC, NSCLC, PC, RCC, or BPH/PCA are shown in FIGS. 2A-2H. An overview of coverage for selected genes is shown in REF_Ref408229028\h \* MERGEFORMAT Table.

(29) TABLE-US-00008 TABLE 5A Target coverage for source genes of selected peptides. Over-expression was defined as more than 1.5-fold higher expression on a tumor compared to the relevant normal tissue that showed highest expression of the gene. <19% over-expression = I,  20-49% = II, 50-69% = III, >70% = IV. If a peptide could be derived from several source genes, the gene with minimal coverage was decisive. SEQ BPH/ ID GB CRC RCC HCC NSCLC PC PCA GC Official gene NO. Sequence (%) (%) (%) (%) (%) (%) (%) (%) Gene ID symbol 116 ALLSSVAEA I II I I II I I I      9048 ARTN 263 SIIEYLPTL I II I I I I I I     79915 ATAD5 93 RLYGYFHDA II III I II II II I III      6790 AURKA 27 GLLGKVTSV I I I I II I I I     51297 BPIFA1 28 IKVTDPQLLEL I I I I II I I I     51297 BPIFA1 62 SLVENIHVL II III II I III III I III       675 BRCA2 241 KQFEGTVEI II III II I III III I III       675 BRCA2 52 TIGIPFPNV III I I II II I I II     83990 BRIP1 58 HLLGEGAFAQV III III I I III II I III       699 BUB1 117 TLLEGISRA I I I I II II I I     26256 CABYR 94 YLDEVAFML I I I I I II I I      1238 CCBP2 103 YLADTVQKL II I I I I I I I 100526761, CCDC169-     54937 SOHLH2, SOHLH2 79 TVLEEIGNRV II IV I I II I I II      9133 CCNB2 247 NLLIDDKGTIKL IV IV II II IV III I IV       983 CDK1 248 VLMQDSRLYL IV IV II II IV III I IV       983 CDK1 249 YLYQILQGI IV IV II II IV III I IV       983 CDK1 250 LMQDSRLYL IV IV II II IV III I IV       983 CDK1 1 KLQEKIQEL III II I I II I I II      1062 CENPE 242 KLQEEIPVL III II I I II I I II      1062 CENPE 19 KVFELDLVTL IV III I I I I I I      1063 CENPF 20 ALVEKGEFAL IV III I I I I I I      1063 CENPF 236 KMSELQTYV IV III I I I I I I      1063 CENPF 237 ALLEQTGDMSL IV III I I I I I I      1063 CENPF 238 HLQEKLQSL IV III I I I I I I      1063 CENPF 60 YLFSQGLQGL III IV I III III II I III      2491 CENPI 260 ALNESLVEC I III I I II I I II     55165 CEP55 48 KISDFGLATV IV IV II II IV II I IV      1111 CHEK1 49 KLIGNIHGNEV I I I I I II I I      8532 CPZ 50 ILLSVLHQL I I I I I II I I      8532 CPZ 284 KLMDPGSLPPL I IV I I II I I II      2118 ETV4 261 GLAALAVHL I III I II II I I I      2175 FANCA 262 LLLEAVWHL I III I II II I I I      2175 FANCA 270 TLLTFFHEL II III I I II I I II     55215 FANCI 271 VLIEYNFSI II III I I II I I II     55215 FANCI 11 LLDPKTIFL I I II I I I I I     26762 HAVCR1 12 RLLDPKTIFL I I II I I I I I     26762 HAVCR1 111 AQLEGKLVSI I III I I II I I III      3161 HMMR 277 KLQEELNKV I III I I II I I III      3161 HMMR 67 FLIENLLAA I I I II I I I I      3166 HMX1 56 VLQENSSDYQS II III I I I I I I      3188 HNRNPH2 NL 89 SLAETIFIV I I I I II I I I      3359 HTR3A 90 AILNVDEKNQV I I I I II I I I      3359 HTR3A 91 LLPSIFLMV I I I I II I I I      3359 HTR3A 287 KIQEILTQV IV II II III IV IV I II     10643 IGF2BP3 97 KLFEKSTGL IV IV II II I II III II     23421 ITGB3BP 35 VIIKGLEEI I II I I I I I I      3832 KIF11 36 TVLQELINV I II I I I I I I      3832 KIF11 37 QIVELIEKI I II I I I I I I      3832 KIF11 239 VIIKGLEEITV I II I I I I I I      3832 KIF11 240 SVQENIQQK I II I I I I I I      3832 KIF11 10 QLIEKNWLL IV IV I II III II I IV     56992 KIF15 112 ILAQDVAQL III IV I I II II I III     24137 KIF4A 70 GLTEKTVLV III IV I I II II I III        24, KIF4A, KIF4B       137,       285,       643 252 SLMEKNQSL III IV I I II II I III        24, KIF4A, KIF4B       137,       285,       643 104 DLPTQEPALGTT I I I I I I IV I       354 KLK3 118 IAYNPNGNAL I I I I I II I I      3824 KLRD1 113 FLFLKEVKV I II I I I I I I     54596 L1TD1 279 VLMDEGAVLTL I II I I I I I I     54596 L1TD1 119 SLIEESEEL I II I I I I I I    284217 LAMA1 105 AMLASQTEA II I I II I IV I I      4295 MLN 106 VLLGSVVIFA I I I I I I IV II      4477 MSMB 29 KMISAIPTL I I I I III II II I     94025 MUC16 30 IITEVITRL I I I I III II II I     94025 MUC16 31 GLLETTGLLAT I I I I III II II I     94025 MUC16 32 VVMVLVLML I I I I III II II I     94025 MUC16 33 TLDRNSLYV I I I I III II II I     94025 MUC16 34 TLNTLDINL I I I I III II II I     94025 MUC16 41 IVTEIISEI III IV I I III I I III     64151 NCAPG 42 KQMSISTGL III IV I I III I I III     64151 NCAPG 234 VLLNEILEQV III IV I I III I I III     64151 NCAPG 285 MLLDTVQKV I II I I I I I I     54892 NCAPG2 114 LLFPSDVQTL II III I I III I I III     23397 NCAPH 107 RVLPGQAVTGV I III I I I I I I     55247 NEIL3 81 ILAEEPIYI I I I I II II II II     55655 NLRP2 82 ILAEEPIYIRV I I I I II II II II     55655 NLRP2 115 ILHGEVNKV I II I I I I I I     54830 NUP62CL 39 YLEDGFAYV II IV I I III II IV IV      5558 PRIM2 83 GLLENSPHL III II II II I III I II     25788 RAD54B 253 KLLAVIHEL III II II II I III I II     25788 RAD54B 288 SLYKGLLSV III II II II I III I II     25788 RAD54B 108 FIANLPPELKA I II I I I I IV I      6013 RLN1 13 RLHDENILL III II II I I I I I     23322 RPGRIP1L 120 LQLJPLKGLSL II IV I II III II I III      6241 RRM2 76 FTAEFLEKV III I I I I II I I     79801 SHCBP1 255 FLMKNSDLYGA III I I I I II I I     79801 SHCBP1 74 GLAFLPASV I II I I I I I I      6570 SLC18A1 75 ALLDGALQL I II I I I I I I      6570 SLC18A1 243 GLAEFQENV II I I I II II I II     57405 SPC25 281 LLLESDPKVYSL I III I I I I I I      6491 STIL 109 ILGSFELQL I I I I I I IV I      7047 TGM4 110 QIQGQVSEV I I I I I I IV I      7047 TGM4 267 YLLDMPLWYL IV IV II II IV III I IV      7153 TOP2A 268 SLDKDIVAL IV IV II II IV III I IV      7153 TOP2A 121 ALYVQAPTV IV IV II II IV IV I IV      9319 TRIP13 122 SIIDTELKV IV IV II II IV IV I IV      9319 TRIP13 123 QTAPEEAFIKL IV II III III III II IV III        15, TTC30B, TTC30A       073,       792,       104 124 ALLLRLFTI III IV II II IV IV I IV     11169 WDHD1 125 AALEVLAEV I III I I I I I I     11130 ZWINT 126 QLREAFEQL I III I I I I I I     11130 ZWINT

(30) RNAseq Experiments

(31) Gene expression analysis of—tumor and normal tissue RNA samples was performed by next generation sequencing (RNAseq) by CeGaT (Tubingen, Germany). Briefly, sequencing libraries are prepared using the IIIumina HiSeq v4 reagent kit according to the provider's protocol (IIIumina Inc., San Diego, Calif., USA), which includes RNA fragmentation, cDNA conversion and addition of sequencing adaptors. Libraries derived from multiple samples are mixed equimolarly and sequenced on the IIIumina HiSeq 2500 sequencer according to the manufacturer's instructions, generating 50 bp single end reads. Processed reads are mapped to the human genome (GRCh38) using the STAR software. Expression data are provided on transcript level as RPKM (Reads Per Kilobase per Million mapped reads, generated by the software Cufflinks) and on exon level (total reads, generated by the software Bedtools), based on annotations of the ensembl sequence database (Ensembl77). Exon reads are normalized for exon length and alignment size to obtain RPKM values.

(32) Exemplary expression profiles of source genes of the present invention that are highly over-expressed or exclusively expressed in NHL, BRCA, GBC, CCC, MEL, OC, OSCAR, SCLC, UBC, UEC are shown in FIG. 2 F-H. Expression scores for further exemplary genes are shown in Table 5B.

(33) TABLE-US-00009 TABLE 5B Target coverage for source genes of selected peptides. Over-expression was defined as more than 1.5-fold higher expression on a tumor compared to the relevant normal tissue that showed highest expression of the gene. <19% over-expression = I, 20-49% = II, 50-69% = III, >70% = IV. If a peptide could be derived from several source genes, the gene with minimal coverage was decisive. The baseline included the following relevant normal tissues: adipose tissue, adrenal gland, artery, bone marrow, brain, cartilage, colon, esophagus, gallbladder, heart, kidney, liver, lung, lymph node, pancreas, pituitary, rectum, skeletal muscle, skin, small intestine, spleen, stomach, thymus, thyroid gland, trachea, urinary bladder and vein. In case expression data for several samples of the same tissue type were available, the arithmetic mean of all respective samples was used for the calculation. AML = acute myeloid leukemia, NHL = non-Hodgkin lymphoma, BRCA = breast cancer, CLL = chronic lymphocytic leukemia, GBC_CCC = gallbladder adenocarcinoma and cholangiocarcinoma, MEL = melanoma, OC = ovarian cancer, OSCAR = esophageal cancer, including cancer of the gastric-oesophageal junction, SCLC = small cell lung cancer, UBC = urinary bladder cancer, UTC = uterine cancer. SEQ GBC_ ID AML NHL BRCA CLL CCC MEL OC OSCAR SCLC UBC UTC NO. Sequence (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) 1 KLQEKIQEL I I I I I I I I I I I 2 SVLEKEIYSI I I I I I I I I I I I 3 RVIDDSLVVGV I II I I I I I I II I I 4 VLFGELPAL I I I I I I I I I I I 5 GLVDIMVHL I I I I I I I I I I I 7 ALLQALMEL I II II I II III II II I II I 8 ALSSSQAEV I I I I I I I I I I I 9 SLITGQDLLSV I I I I I I I I II I I 10 QLIEKNWLL I II I I I I I I II I I 11 LLDPKTIFL I I I I II I I I I I I 13 RLHDENILL I I II I I I I I II I I 14 YTFSGDVQL I I I I I II I IV I III I 17 GLLPSAESIKL I I I I I I I I I I I 18 KTASINQNV I I I I I I I I II I I 21 YLMDDFSSL I I II I I I I I II I I 22 LMYPYIYHV I I II I I I I I I I I 24 KVWSDVTPL I I IV I IV II II IV II IV IV 39 YLEDGFAYV I II II I II II III I III I I 40 KIWEELSVLEV I I II I III IV I III IV III II 41 IVTEIISEI I I I I I I I I II I I 43 LLIPFTIFM I II II I II II I IV I II I 46 ISLDEVAVSL I I I I I I I I III I I 47 GLNGFNVLL I II I I I I I I III I II 49 KLIGNIHGNEV I I I I I I I I I I I 50 ILLSVLHQL I I I I I I I I I I I 67 FLIENLLAA I I I I I I I I I I I 76 FTAEFLEKV I I I I I I I I I I I 83 GLLENSPHL I II II I I II II I III I III 84 FLLEREQLL I II I I I I I I II I II 85 KLLDKPEQFL I I I I I IV I I I I I 86 SLFSNIESV I I I I I I I I I I I 88 LLLPLELSLA I I I I I I I I III I I 89 SLAETIFIV I III I I I I II I II I I 92 RLFEEVLGV I I I I I I I I II I I 95 KLIDEDEPLFL I I I I I I I I I I I 96 ALDTTRHEL I II I I I I I I I I I 102 GLYPVTLVGV I I I I I I I I II I I 116 ALLSSVAEA I I II I I I I IV I II I 117 TLLEGISRA I I I I I I I II I I I 147 GLLSALENV I III I IV I I I I I I I 148 YLILSSHQL I III I IV I I I I I I I 152 ILVTSIFFL I II I II I I I I I I I 153 KLVELEHTL I I II I II II I II I II I 155 TLDSYLKAV I I III I I I I I I I I 156 VILTSSPFL I I I II I I I I I I I 157 ILQDGQFLV I I I II I III I I II I I 158 YLDPLWHQL I I I I I I I I II I I 166 LLGDSSFFL I I I I I I I I I I I 169 ALADLSVAV I I I I I I I II I III I 170 FIAAVVEKV I I I I I II II I I I I 181 LLWAPTAQA I I I I II I I I II I I 185 TLYQGLPAEV I I II I I I III IV I II IV 203 FLFVDPELV II I I I I I I I I I I 220 ALSELERVL I I I I I I I I I I I 222 LLTGVFAQL I I I I II I I I I II I 233 SLFESLEYL I I II I II II II II I I I 234 VLLNEILEQV I I I I I I I I III I I 235 SLLNQPKAV I I I I I I II I II I I 236 KMSELQTYV I II I I I I I I II I I 237 ALLEQTGDMSL I II I I I I I I II I I 241 KQFEGTVEI I II II I I I I I II I I 242 KLQEEIPVL I I I I I I I I I I I 243 GLAEFQENV I II I I I I I I II I I 245 ALLEEEEGV I I I I I II I II II II I 246 ALAGIVTNV I I II I II I III I I II I 248 VLMQDSRLYL I II I I I I I I I I I 251 LLWGNLPEI I II I I I I I I I I I 252 SLMEKNQSL I I I I I I I I II I I 253 KLLAVIHEL I II II I I II II I III I III 255 FLMKNSDLYGA I I I I I I I I I I I 257 KLIDHQGLYL I I I I I I II I II I I 260 ALNESLVEC I III I I II I II IV II II II 261 GLAALAVHL I II I I I I I I III I I 263 SIIEYLPTL I I I I I I I I II I I 264 TLHDQVHLL I I IV I I I IV I I I IV 265 FLLDKPQDLSI I I I I II I II I I I I 267 YLLDMPLWYL I II I I I I I I III I I 269 GLLDCPIFL I I I I I I I I I I I 270 TLLTFFHEL I I I I I II I II II I I 271 VLIEYNFSI I I I I I II I III II I I 274 TLYNPERTITV II IV II III IV IV IV IV IV II II 277 KLQEELNKV I I I I I I I I I I I 279 VLMDEGAVLTL I I I II I I I I I I I 283 ALSELLQQV I I I I I I I I II I I 286 FLTEMVHFI I I I I I I I I II II I

Example 3

(34) In Vitro Immunogenicity of MHC Class I Presented Peptides

(35) In order to obtain information regarding the immunogenicity of the TUMAPs of the present invention, the inventors performed investigations using an in vitro T-cell priming assay based on repeated stimulations of CD8+ T cells with artificial antigen presenting cells (aAPCs) loaded with peptide/MHC complexes and anti-CD28 antibody. This way the inventors could show immunogenicity for 47 HLA-A*0201 restricted TUMAPs of the invention so far, demonstrating that these peptides are T-cell epitopes against which CD8+ precursor T cells exist in humans (Table 6A and B).

(36) In Vitro Priming of CD8+ T Cells

(37) In order to perform in vitro stimulations by artificial antigen presenting cells loaded with peptide-MHC complex (pMHC) and anti-CD28 antibody, the inventors first isolated CD8+ T cells from fresh HLA-A*02 leukapheresis products via positive selection using CD8 microbeads (Miltenyi Biotec, Bergisch-Gladbach, Germany) of healthy donors obtained from the University clinics Mannheim, Germany, after informed consent. PBMCs and isolated CD8+lymphocytes were incubated in T-cell medium (TCM) until use consisting of RPMI-Glutamax (Invitrogen, Karlsruhe, Germany) supplemented with 10% heat inactivated human AB serum (PAN-Biotech, Aidenbach, Germany), 100 U/ml Penicillin/100 μg/ml Streptomycin (Cambrex, Cologne, Germany), 1 mM sodium pyruvate (CC Pro, Oberdorla, Germany), 20 μg/ml Gentamycin (Cambrex). 2.5 ng/ml IL-7 (PromoCell, Heidelberg, Germany) and 10 U/ml IL-2 (Novartis Pharma, Nurnberg, Germany) were also added to the TCM at this step. Generation of pMHC/anti-CD28 coated beads, T-cell stimulations and readout was performed in a highly defined in vitro system using four different pMHC molecules per stimulation condition and 8 different pMHC molecules per readout condition.

(38) The purified co-stimulatory mouse IgG2a anti human CD28 Ab 9.3 (Jung et al., 1987) was chemically biotinylated using Sulfo-N-hydroxysuccinimidobiotin as recommended by the manufacturer (Perbio, Bonn, Germany). Beads used were 5.6 μm diameter streptavidin coated polystyrene particles (Bangs Laboratories, Illinois, USA).

(39) pMHC used for positive and negative control stimulations were A*0201/MLA-001 (peptide ELAGIGILTV (SEQ ID NO. 289) from modified Melan-A/MART-1) and A*0201/DDX5-001 (YLLPAIVHI from DDX5, SEQ ID NO. 290), respectively.

(40) 800.000 beads/200 μl were coated in 96-well plates in the presence of 4×12.5 ng different biotin-pMHC, washed and 600 ng biotin anti-CD28 were added subsequently in a volume of 200 μl. Stimulations were initiated in 96-well plates by co-incubating 1×10.sup.6 CD8+ T cells with 2×10.sup.5 washed coated beads in 200 μl TCM supplemented with 5 ng/ml IL-12 (PromoCell) for 3 days at 37° C. Half of the medium was then exchanged by fresh TCM supplemented with 80 U/ml IL-2 and incubating was continued for 4 days at 37° C. This stimulation cycle was performed for a total of three times. For the pMHC multimer readout using 8 different pMHC molecules per condition, a two-dimensional combinatorial coding approach was used as previously described (Andersen et al., 2012) with minor modifications encompassing coupling to 5 different fluorochromes. Finally, multimeric analyses were performed by staining the cells with Live/dead near IR dye (Invitrogen, Karlsruhe, Germany), CD8-FITC antibody clone SK1 (BD, Heidelberg, Germany) and fluorescent pMHC multimers. For analysis, a BD LSRII SORP cytometer equipped with appropriate lasers and filters was used. Peptide specific cells were calculated as percentage of total CD8+ cells. Evaluation of multimeric analysis was done using the FlowJo software (Tree Star, Oregon, USA). In vitro priming of specific multimer+CD8+ lymphocytes was detected by comparing to negative control stimulations. Immunogenicity for a given antigen was detected if at least one evaluable in vitro stimulated well of one healthy donor was found to contain a specific CD8+ T-cell line after in vitro stimulation (i.e. this well contained at least 1% of specific multimer+ among CD8+ T-cells and the percentage of specific multimer+ cells was at least 10× the median of the negative control stimulations).

(41) In Vitro Immunogenicity of Peptides

(42) For tested HLA class I peptides, in vitro immunogenicity could be demonstrated by generation of peptide specific T-cell lines. Exemplary flow cytometry results after TUMAP-specific multimer staining for 15 peptides of the invention are shown in FIGS. 3A and 3B and FIGS. 6A-6M together with corresponding negative controls. Results for two peptides from the invention are summarized in Table 6A and B.

(43) TABLE-US-00010 TABLE 6A in vitro immunogenicity of HLA class I peptides of the invention Exemplary results of in vitro immunogenicity experiments conducted by the applicant for the peptides of the invention. <20% = +;  21% - 49% = ++; 50% - 69% = +++; >= 70% = ++++ Seq ID Sequence wells donors 288 SLYKGLLSV ++ ++++ 287 KIQEILTQV + +++

(44) TABLE-US-00011 TABLE 6B In vitro immunogenicity of HLA class I peptides of the invention Exemplary results of in vitro immunogenicity experiments conducted by the applicant for HLA- A*02 restricted peptides of the invention. Results of in vitro immunogenicity experiments are indicated. Percentage of positive wells and donors (among evaluable) are summarized as indicated <20% = +; 20% - 49% = ++; 50% - 69% = +++; >= 70% = ++++ SEQ ID Sequence Wells positive [%] 4 VLFGELPAL + 7 ALLQALMEL ++ 9 SLITGQDLLSV + 11 LLDPKTIFL ++ 14 YTFSGDVQL + 17 GLLPSAESIKL + 18 KTASINQNV +++ 27 GLLGKVTSV + 29 KMISAIPTL + 34 TLNTLDINL ++++ 35 VIIKGLEEI + 39 YLEDGFAYV ++++ 48 KISDFGLATV ++ 50 ILLSVLHQL + 66 AMFPDTIPRV + 77 ALYGNVQQV + 82 ILAEEPIYIRV +++ 89 SLAETIFIV + 92 RLFEEVLGV ++ 97 KLFEKSTGL + 101 SLLEVNEASSV + 102 GLYPVTLVGV + 117 TLLEGISRA ++ 121 ALYVQAPTV + 157 ILQDGQFLV + 166 LLGDSSFFL ++ 183 ALSYILPYL +++ 203 FLFVDPELV +++ 233 SLFESLEYL + 234 VLLNEILEQV ++ 236 KMSELQTYV + 242 KLQEEIPVL + 246 ALAGIVTNV + 248 VLMQDSRLYL ++ 251 LLWGNLPEI ++ 253 KLLAVIHEL ++ 254 ALGDKFLLRV + 255 FLMKNSDLYGA + 257 KLIDHQGLYL + 260 ALNESLVEC + 261 GLAALAVHL ++ 263 SIIEYLPTL + 264 TLHDQVHLL + 267 YLLDMPLWYL + 275 AVPPPPSSV ++

Example 4

(45) Synthesis of Peptides

(46) All peptides were synthesized using standard and well-established solid phase peptide synthesis using the Fmoc-strategy.

(47) Identity and purity of each individual peptide have been determined by mass spectrometry and analytical RP-HPLC. The peptides were obtained as white to off-white lyophilizates (trifluoro acetate salt) in purities of >50%.

(48) All TUMAPs are preferably administered as trifluoro-acetate salts or acetate salts, other salt-forms are also possible.

Example 5

(49) MHC Binding Assays

(50) Candidate peptides for T cell based therapies according to the present invention were further tested for their MHC binding capacity (affinity). The individual peptide-MHC complexes were produced by UV-ligand exchange, where a UV-sensitive peptide is cleaved upon UV-irradiation, and exchanged with the peptide of interest as analyzed. Only peptide candidates that can effectively bind and stabilize the peptide-receptive MHC molecules prevent dissociation of the MHC complexes. To determine the yield of the exchange reaction, an ELISA was performed based on the detection of the light chain (β2m) of stabilized MHC complexes. The assay was performed as generally described in Rodenko et al. (Rodenko et al., 2006).

(51) 96 well MAXISorp plates (NUNC) were coated over night with 2 ug/ml streptavidin in PBS at room temperature, washed 4× and blocked for 1 h at 37° C. in 2% BSA containing blocking buffer. Refolded HLA-A*02:01/MLA-001 monomers served as standards, covering the range of 15-500 ng/ml. Peptide-MHC monomers of the UV-exchange reaction were diluted 100 fold in blocking buffer. Samples were incubated for 1 h at 37° C., washed four times, incubated with 2 ug/ml HRP conjugated anti-β2m for 1 h at 37° C., washed again and detected with TMB solution that is stopped with NH.sub.2SO.sub.4. Absorption was measured at 450 nm. Candidate peptides that show a high exchange yield (preferably higher than 50%, most preferred higher than 75%) are generally preferred for a generation and production of antibodies or fragments thereof, and/or T cell receptors or fragments thereof, as they show sufficient avidity to the MHC molecules and prevent dissociation of the MHC complexes.

(52) TABLE-US-00012 TABLE 7 MHC class I binding scores Binding of HLA-class I restricted peptides to HLA- A*02:01 was evaluated by peptide exchange yield: ≥10% = +; ≥20% = ++; ≥50 = +++; ≥75% = ++++ SEQ ID Sequence Peptide exchange 1 KLQEKIQEL ++++ 3 RVIDDSLVVGV +++ 4 VLFGELPAL +++ 5 GLVDIMVHL +++ 6 FLNAIETAL ++++ 7 ALLQALMEL +++ 9 SLITGQDLLSV +++ 10 QLIEKNWLL +++ 11 LLDPKTIFL +++ 12 RLLDPKTIFL +++ 13 RLHDENILL +++ 14 YTFSGDVQL +++ 16 SLADLSLLL +++ 17 GLLPSAESIKL ++++ 18 KTASINQNV ++ 19 KVFELDLVTL ++ 20 ALVEKGEFAL ++ 21 YLMDDFSSL +++ 22 LMYPYIYHV +++ 23 ALLSPLSLA +++ 24 KVWSDVTPL +++ 25 LLWGHPRVALA +++ 26 VLDGKVAVV +++ 27 GLLGKVTSV +++ 28 IKVTDPQLLEL ++ 29 KMISAIPTL ++ 30 IITEVITRL +++ 31 GLLETTGLLAT +++ 33 TLDRNSLYV ++ 34 TLNTLDINL +++ 35 VIIKGLEEI ++ 36 TVLQELINV +++ 37 QIVELIEKI ++ 38 VLQQESNFL ++ 39 YLEDGFAYV +++ 40 KIWEELSVLEV +++ 41 IVTEIISEI +++ 42 KQMSISTGL ++ 44 AVFNLVHVV +++ 45 FLPVSVVYV +++ 47 GLNGFNVLL +++ 48 KISDFGLATV +++ 49 KLIGNIHGNEV ++ 50 ILLSVLHQL +++ 51 LDSEALLTL ++ 52 TIGIPFPNV ++ 53 AQHLSTLLL + 54 YLVPGLVAA +++ 55 HLFDKIIKI +++ 57 TLYPGRFDYV ++ 58 HLLGEGAFAQV +++ 59 ALADGIKSFLL +++ 60 YLFSQGLQGL +++ 61 ALYPKEITL +++ 62 SLVENIHVL +++ 63 KLLPMVIQL +++ 64 SLYAGSNNQV ++ 65 SLSEKSPEV ++ 66 AMFPDTIPRV ++ 67 FLIENLLAA +++ 68 QLMNLIRSV +++ 69 LKVLKADVVL ++ 70 GLTEKTVLV ++ 71 HMSGKLTNV ++ 72 VLSTRVTNV ++ 74 GLAFLPASV ++ 75 ALLDGALQL +++ 76 FTAEFLEKV +++ 77 ALYGNVQQV +++ 79 TVLEEIGNRV ++ 80 VLTGQVHEL +++ 81 ILAEEPIYI ++ 82 ILAEEPIYIRV +++ 83 GLLENSPHL ++ 84 FLLEREQLL ++++ 85 KLLDKPEQFL ++ 86 SLFSNIESV +++ 87 KLLSLLEEA +++ 88 LLLPLELSLA +++ 89 SLAETIFIV +++ 90 AILNVDEKNQV ++ 91 LLPSIFLMV ++ 92 RLFEEVLGV ++++ 93 RLYGYFHDA ++ 94 YLDEVAFML +++ 95 KLIDEDEPLFL +++ 96 ALDTTRHEL ++ 97 KLFEKSTGL +++ 98 FVQEKIPEL +++ 99 TLFGIQLTEA +++ 100 ALQSFEFRV +++ 101 SLLEVNEASSV +++ 102 GLYPVTLVGV +++ 103 YLADTVQKL ++ 105 AMLASQTEA ++ 106 VLLGSVVIFA ++ 107 RVLPGQAVTGV ++ 108 FIANLPPELKA +++ 109 ILGSFELQL +++ 110 QIQGQVSEV ++ 111 AQLEGKLVSI +++ 112 ILAQDVAQL +++ 113 FLFLKEVKV ++ 114 LLFPSDVQTL ++ 115 ILHGEVNKV ++ 116 ALLSSVAEA ++ 117 TLLEGISRA ++ 119 SLIEESEEL ++ 121 ALYVQAPTV ++ 122 SIIDTELKV +++ 123 QTAPEEAFIKL + 124 ALLLRLFTI ++ 125 AALEVLAEV +++ 126 QLREAFEQL +++ 128 SILTNISEV ++ 129 KMASKVTQV ++ 130 QLYGSAITL +++ 131 SLYPHFTLL +++ 132 ALLNNVIEV +++ 133 FLDGRPLTL ++ 134 SLYKSFLQL ++ 136 LLWDAPAKC +++ 137 KLIYKDLVSV ++ 138 GIINKLVTV ++ 139 IILENIQSL +++ 140 FLDSQITTV +++ 141 NIDINNNEL ++ 142 LLDAAHASI ++ 143 MLWESIMRV +++ 144 FLISQTPLL +++ 145 ALEEKLENV +++ 146 VVAAHLAGA ++ 147 GLLSALENV +++ 148 YLILSSHQL +++ 149 NMADGQLHQV ++ 150 VLLDMVHSL +++ 151 DISKRIQSL ++ 153 KLVELEHTL +++ 154 AIIKEIQTV ++ 155 TLDSYLKAV ++ 157 ILQDGQFLV ++ 158 YLDPLWHQL +++ 159 QLGPVPVTI +++ 160 TLQEWLTEV +++ 161 NLLDENVCL ++++ 162 GLLGNLLTSL +++ 163 GLEERLYTA ++ 164 MLIIRVPSV +++ 165 SLLDYEVSI +++ 166 LLGDSSFFL +++ 167 LVVDEGSLVSV +++ 168 VIFEGEPMYL +++ 169 ALADLSVAV +++ 170 FIAAVVEKV ++ 171 LLLLDVPTA ++ 173 RLIDIYKNV +++ 174 ALYSGDLHAA ++ 175 SLLDLVQSL +++ 176 VQSGLRILL ++ 177 ALINVLNAL +++ 178 SLVSWQLLL ++++ 179 TLGEIIKGV +++ 180 RLYEEEIRI +++ 181 LLWAPTAQA +++ 182 GLQDGFQITV +++ 183 ALSYILPYL +++ 184 ALDSTIAHL ++ 185 TLYQGLPAEV ++ 187 SILKEDPFL ++ 188 VLGEEQEGV ++ 190 SLSTELFKV +++ 191 AAIEIFEKV +++ 192 TLLPSSGLVTL ++ 193 ALFHMNILL +++ 194 KLLEEVQLL ++ 195 VIIQNLPAL +++ 198 ILTNKVVSV ++ 199 SVADLAHVL ++ 200 IMPTFDLTKV +++ 203 FLFVDPELV ++ 204 SEWGSPHAAVP +++ 206 GLDAFRIFL ++++ 207 KLFETVEEL +++ 208 HLNNDRNPL ++ 210 GLAGDNIYL +++ 211 LLTTVLINA +++ 212 MTLSEIHAV ++ 213 ILAVDGVLSV +++ 214 ALFETLIQL +++ 215 QIADIVTSV ++ 216 ALSTVTPRI ++ 217 LLWPSSVPA +++ 218 SLTGANITV +++ 219 GVVPTIQKV ++ 220 ALSELERVL +++ 221 IMLNSVEEI ++ 222 LLTGVFAQL ++ 223 ALHPVQFYL +++ 224 LLFDWSGTGRADA +++ 225 FLPQPVPLSV +++ 226 SLAGNLQEL +++ 227 SEMEELPSV + 228 SLLELDGINLRL +++ 229 YLYELEHAL ++ 230 KLLNMIFSI +++ 231 LLDDIFIRL +++ 233 SLFESLEYL +++ 234 VLLNEILEQV ++++ 235 SLLNQPKAV ++ 236 KMSELQTYV +++ 237 ALLEQTGDMSL +++ 238 HLQEKLQSL ++ 239 VIIKGLEEITV +++ 241 KQFEGTVEI +++ 242 KLQEEIPVL +++ 243 GLAEFQENV ++ 244 NVAEIVIHI +++ 245 ALLEEEEGV ++ 246 ALAGIVTNV +++ 247 NLLIDDKGTIKL ++ 248 VLMQDSRLYL +++ 249 YLYQILQGI +++ 250 LMQDSRLYL +++ 251 LLWGNLPEI +++ 252 SLMEKNQSL ++ 253 KLLAVIHEL +++ 254 ALGDKFLLRV ++ 255 FLMKNSDLYGA +++ 256 FLNDIFERI +++ 257 KLIDHQGLYL +++ 258 QLVQRVASV ++ 259 GPGIFPPPPPQP + 260 ALNESLVEC +++ 261 GLAALAVHL +++ 262 LLLEAVWHL +++ 263 SIIEYLPTL +++ 264 TLHDQVHLL ++ 265 FLLDKPQDLSI +++ 266 FLLDKPQDL ++ 267 YLLDMPLWYL +++ 268 SLDKDIVAL ++ 269 GLLDCPIFL ++++ 270 TLLTFFHEL +++ 271 VLIEYNFSI +++ 272 FVMEGEPPKL ++ 273 SLNKQIETV ++ 274 TLYNPERTITV +++ 275 AVPPPPSSV ++ 276 RMPTVLQCV +++ 277 KLQEELNKV +++ 278 VLEDKVLSV +++ 279 VLMDEGAVLTL ++ 280 HLWGHALFL +++ 281 LLLESDPKVYSL ++ 282 SLYALHVKA ++ 283 ALSELLQQV +++ 284 KLMDPGSLPPL ++ 285 MLLDTVQKV +++ 286 FLTEMVHFI +++

Example 6

(53) TABLE-US-00013 TABLE 8 Preferred peptides according to the present invention SEQ ID No Sequence Peptide Code 11 LLDPKTIFL HAVCR1-001 14 YTFSGDVQL MMP1-003 21 YLMDDFSSL COL6A3-015 24 KVWSDVTPL MMP-002 25 LLWGHPRVALA MXRA5-003 40 KIWEELSVLEV MAGEA3-003 85 KLLDKPEQFL FMN1-001 89 SLAETIFIV HTR3A-001 117 TLLEGISRA CABY-001 153 KLVELEHTL CT83-001 155 TLDSYLKAV CYP4Z-001 157 ILQDGQFLV DCAF4L2-001 168 VIFEGEPMYL HORMAD1-001 233 SLFESLEYL ZFP42-001 245 ALLEEEEGV MAGEA4-003 253 KLLAVIHEL RAD54B-002 264 TLHDQVHLL ESR1-001 274 TLYNPERTITV IGF-004

(54) Absolute Quantitation of Tumor Associated Peptides Presented on the Cell Surface

(55) The generation of binders, such as antibodies and/or TCRs, is a laborious process, which may be conducted only for a number of selected targets. In the case of tumor-associated and—specific peptides, selection criteria include but are not restricted to exclusiveness of presentation and the density of peptide presented on the cell surface. In addition to the isolation and relative quantitation of peptides as described herein, the inventors did analyze absolute peptide copies per cell as described. The quantitation of TUMAP copies per cell in solid tumor samples requires the absolute quantitation of the isolated TUMAP, the efficiency of TUMAP isolation, and the cell count of the tissue sample analyzed.

(56) Peptide quantitation by nanoLC-MS/MS

(57) For an accurate quantitation of peptides by mass spectrometry, a calibration curve was generated for each peptide using the internal standard method. The internal standard is a double-isotope-labelled variant of each peptide, i.e. two isotope-labelled amino acids were included in TUMAP synthesis. It differs from the tumor-associated peptide only in its mass but shows no difference in other physicochemical properties (Anderson et al., 2012). The internal standard was spiked to each MS sample and all MS signals were normalized to the MS signal of the internal standard to level out potential technical variances between MS experiments.

(58) The calibration curves were prepared in at least three different matrices, i.e. HLA peptide eluates from natural samples similar to the routine MS samples, and each preparation was measured in duplicate MS runs. For evaluation, MS signals were normalized to the signal of the internal standard and a calibration curve was calculated by logistic regression.

(59) For the quantitation of tumor-associated peptides from tissue samples, the respective samples were also spiked with the internal standard; the MS signals were normalized to the internal standard and quantified using the peptide calibration curve.

(60) Efficiency of Peptide/MHC Isolation

(61) As for any protein purification process, the isolation of proteins from tissue samples is associated with a certain loss of the protein of interest. To determine the efficiency of TUMAP isolation, peptide/MHC complexes were generated for all TUMAPs selected for absolute quantitation. To be able to discriminate the spiked from the natural peptide/MHC complexes, single-isotope-labelled versions of the TUMAPs were used, i.e. one isotope-labelled amino acid was included in TUMAP synthesis. These complexes were spiked into the freshly prepared tissue lysates, i.e. at the earliest possible point of the TUMAP isolation procedure, and then captured like the natural peptide/MHC complexes in the following affinity purification. Measuring the recovery of the single-labelled TUMAPs therefore allows conclusions regarding the efficiency of isolation of individual natural TUMAPs.

(62) The efficiency of isolation was analyzed in a low number of samples and was comparable among these tissue samples. In contrast, the isolation efficiency differs between individual peptides. This suggests that the isolation efficiency, although determined in only a limited number of tissue samples, may be extrapolated to any other tissue preparation. However, it is necessary to analyze each TUMAP individually as the isolation efficiency may not be extrapolated from one peptide to others.

(63) Determination of the Cell Count in Solid, Frozen Tissue

(64) In order to determine the cell count of the tissue samples subjected to absolute peptide quantitation, the inventors applied DNA content analysis. This method is applicable to a wide range of samples of different origin and, most importantly, frozen samples (Alcoser et al., 2011; Forsey and Chaudhuri, 2009; Silva et al., 2013). During the peptide isolation protocol, a tissue sample is processed to a homogenous lysate, from which a small lysate aliquot is taken. The aliquot is divided in three parts, from which DNA is isolated (QiaAmp DNA Mini Kit, Qiagen, Hilden, Germany). The total DNA content from each DNA isolation is quantified using a fluorescence-based DNA quantitation assay (Qubit dsDNA HS Assay Kit, Life Technologies, Darmstadt, Germany) in at least two replicates.

(65) In order to calculate the cell number, a DNA standard curve from aliquots of single healthy blood cells, with a range of defined cell numbers, has been generated. The standard curve is used to calculate the total cell content from the total DNA content from each DNA isolation. The mean total cell count of the tissue sample used for peptide isolation is extrapolated considering the known volume of the lysate aliquots and the total lysate volume.

(66) Peptide Copies Per Cell

(67) With data of the aforementioned experiments, the inventors calculated the number of TUMAP copies per cell by dividing the total peptide amount by the total cell count of the sample, followed by division through isolation efficiency. Copy cell number for selected peptides are shown in Table 9.

(68) TABLE-US-00014 TABLE 9 Absolute copy numbers. The table lists the results of absolute peptide quantitation in tumor samples. The median number of copies per cell are indicated for each peptide: <100 = +; >=100 = ++; >=1,000 +++; >=10,000 = ++++. The number of samples, in which evaluable, high quality MS data are available is indicated. Number SEQ ID Copies per cell of No. Peptide Code (median) samples 11 HAVCR1-001 + 22 14 MMP1-003 ++ 10 21 COL6A3-015 + 35 24 MMP-002 + 33 85 FMN1-001 + 18 89 HTR3A-001 +++ 17 117 CABY-001 + 17 155 CYP4Z-001 ++ 18 157 DCAF4L2-001 ++ 16 245 MAGEA4-003 + 33 253 RAD54B-002 +++ 6 264 ESR1-001 + 16 274 IGF-004 + 6

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