Eukaryotic translation initiation factors (eIFs) as novel biomarkers in bladder cancer
11959918 ยท 2024-04-16
Assignee
Inventors
Cpc classification
G01N33/57484
PHYSICS
G01N33/6872
PHYSICS
International classification
G01N33/00
PHYSICS
A61K39/00
HUMAN NECESSITIES
G01N33/53
PHYSICS
Abstract
The present invention relates to a method of diagnosing bladder cancer in an individual. Further, the present invention relates to a method of determining the course of bladder cancer in an individual. Furthermore, the present invention relates to a kit for diagnosing bladder cancer in an individual or determining the course of bladder cancer in an individual.
Claims
1. A method for treating bladder cancer, comprising the steps of: (i) providing a bladder tissue sample from an individual suspected of suffering from bladder cancer; (ii) determining the level of elF4B in the bladder tissue sample; (iii) diagnosing the individual as suffering from bladder cancer upon determining the level of elF4B higher than a reference level of elF4B from healthy individuals; and (iv) administering surgery, chemotherapy, radiotherapy, or immunotherapy to the individual to treat bladder cancer.
2. The method of claim 1, wherein step (ii) comprises determining the level of elF4B in a first bladder tissue sample at a first point in time and the level of elF4B in a second bladder tissue sample at a second and later point in time.
3. The method of claim 2, further comprising comparing the levels of elF4B determined at the different time points.
4. The method of claim 1, further comprising determining the level of at least one elF in the bladder tissue sample, wherein the at least one elF is selected from the group consisting of elF1, elF5A, elF4G, elF5B, and elF6.
5. The method of claim 1, further comprising, prior to step (i), a step of obtaining the bladder tissue sample from the individual.
6. The method of claim 1, wherein the bladder cancer is selected from the group consisting of urothelial bladder cancer, squamous cell bladder cancer, adenocarcinoma, sarcoma, and small cell bladder cancer.
7. The method of claim 1, wherein the surgery comprises transurethral resection.
8. The method of claim 7, wherein the reference level is the level determined by measuring at least one reference bladder tissue sample from at least one healthy individual not suspected of having bladder cancer.
9. The method of claim 1, wherein the surgery comprises partial or complete removal of the bladder.
10. The method of claim 9, wherein the reference level is the level determined by measuring at least one reference bladder tissue sample from at least one healthy individual not suffering from bladder cancer.
11. The method of claim 1, wherein the surgery comprises urinary diversion.
Description
BRIEF DESCRIPTION OF THE FIGURES
(1) The following Figures are merely illustrative of the present invention and should not be construed to limit the scope of the invention as indicated by the appended claims in any way.
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(4) FISG. 3A-3B: TMA-Blocks containing patient sample after construction.
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EXAMPLES
(12) The examples given below are for illustrative purposes only and do not limit the invention described above in any way.
Material and Methods
(13) 1. Patient Samples
(14) The study comprised 107 patients with the diagnosis UBC which underwent a TUR-B treatment or radical cystectomy. Tumor material was obtained from the department of Pathology at the Medical University of Magdeburg. Patients who were diagnosed with urothelial bladder cancer (UBC) were considered as suitable for the project. 107 formalin-fixed, paraffin-embedded patient samples were retrospectively collected from the University Hospital in Magdeburg. Hematoxylin-eosin-stained (H/E) slides were reviewed by two experienced, board-certified pathologist, who confirmed the diagnoses and identified the areas of tumor and non-neoplastic tissue for each tissue microarray core. 107 of the 107 patient samples contained tumor tissue and were considered as suitable for the manufacturing of a Tumor-TMA (tumor group). 76 of the 107 patient samples contained non-neoplastic urothelial tissue and were used to manufacture a Non-Tumor-TMA (comparison group).
Clinical patient data was stored in a Microsoft Excel 2016 table. The following data was determined: Forename, family name, sex, date of birth, case number, time of first diagnosis, histopathological diagnosis of tumor tissue, t-stage, tumor-grade.
2. Tissue Microarray (TMAs)
Tissue Microarrays (TMAs) are a unique method which allows to embed over 1000 tissue cores in a paraffin block. This technique gives opportunity to perform immunohistochemistry and analyze specified regions of various tumors.
3. Establishing the Arraying Technique
For the Production of the TMAs a Manual-Tissue-Arraying Instrument (MTA Booster, Version 01, Alphelys, France) was used. The manual production of a TMA-block is described in
4. TMAs with UBC Samples
To prepare for the cut, the MIAs were placed in a warming cabinet for four hours (40? C.). The TMAs were cut into 4 ?m thick slices. After smoothing in a water bath, the sections were transferred to Polysine Slides? Adhesion Slide (Thermo Scientific). 12 cuts were made per TMA (9 TMAs?12 cuts=108), In the next step, the immunohistochemical staining took place.
5. Immunohistochemical Staining
The protein expression of eIF1, eIF1AY, eIF2A, eIF3A, eIF3B, eIF3H, eIF4B, eIF4E, eIF4G, eIF5A, eIF5B, eIF6 was analyzed by immunohistochemical staining. The staining was carried out under standardized conditions in the BenchMark? Ultra stainer (Ventana Medical Systems, Tucsin, USA). For antigen unmasking, sections were treated with Cell Conditioning Solution? (CC1-mild, Ventana). The incubation time per primary antibody used was 32 minutes. The detailed information on the antibodies, manufacturer names and established dilutions can be found in Table 1.
(15) TABLE-US-00001 TABLE 1 Detailed overview of the antibodies that were used for IHC order- established antibody manufacturer Nr. dilution method eIF1 Thermo MA1- 1:3000 DAB Monocl. Fischer 077 CC1mild BenchmarkUltra AB (2B9) eIF1AY Thermo PA5- 1:500 DAB Fisher 31198 CC1mild BenchmarkUltra (Invitrogen) eIF2? Cell Signalling #5324P 1:2000 DAB (D7D3) CC1mild BenchmarkUltra XP eIF3A Thermo PA5- 1:100 DAB Fisher 31296 CC1mild BenchmarkUltra (Invitrogen) eIF3B Santa Cruz sc- 1:50 DAB (eIF3? 137215 CC1mild BenchmarkUltra D-9) eIF3H Cell Signalling #3413 1:1600 DAB (D9C1) CC1mild BenchmarkUltra XP eIF4B GeneTex GTX33 1:500 DAB 175 CC1mild BenchmarkUltra eIF4E Cell Signalling #9742 1:100 DAB CC1mild BenchmarkUltra eIF4G Cell Signalling #2498 1:50 DAB CC1mild BenchmarkUltra eIF5A Thermo PA5- 1:250 DAB Fisher 29204 CC1mild BenchmarkUltra (Invitrogen) eIF5B Thermo PA5- 1:50 DAB Fisher 36456 CC1mild BenchmarkUltra (Invitrogen) eIF6 biomol/BETHYL A303- 1:100 DAB 030A/M CC1mild BenchmarkUltra
6. Evaluation of the Immunohistochemical Staining
The 108 TMA sequences were scanned in a NanoZoomer 360S Whole Slide Imaging Scanner (Hamamatsu). The evaluation was done semiquantitatively using the digital pathology program NanoZoomerDigitalPathology (NDP.View2).
In the evaluation, the staining intensity I (Intensity=0-3) and the percentage of the stained tumor area D (Density=0-100%) were separately analyzed for each spot and the medians were formed. It was also differentiated per spot whether it was a cytoplasmic, nuclear or mixed cytoplasmic-nuclear staining.
The following values were used for the intensity I of the staining:
(16) 0negative color reaction
(17) 1slightly positive staining
(18) 2medium positive staining
(19) 3strong positive staining
(20) The median of staining intensity I (min 0-max 3) was then multiplied by the median of the percentage of stained area D (min 0-max 100). The product was then divided by 10 to obtain the immunoreactive score (IRS score: min 0-max 30) per patient case. Both staining intensity and IRS score formed the basis for further statistical data processing.
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7. Statistical Analysis
The statistical evaluation was carried out using the Microsoft Excel program. The data was then exported to IBM SPSS Statistics (version 22) and statistically evaluated. Differences in eIF expression between tumor and non-tumor groups were assessed using Wilcoxon non-parametric test. A p value <0.05 was considered as statistically significant. Statistical analysis was performed with the statistic program IBM? SPSS? Statistics Version 22. Graph generation was performed using Microsoft Word and Excel.
Results
(22) In this study, the performance of eukaryotic translation initiation factors (eIFs) in bladder cancer was examined. It was found that eIFs are deregulated between patients suffering from UBC and healthy individuals. With eIF1, eIF5A, eIF4B eIF4G, eIF5B, eIF6, and eIF3H seven new diagnostic biomarkers for UBC were identified. These new diagnostic biomarkers allow the diagnosis and monitoring of UBC. In particular, immunohistochemical data from tissue microarray (n=107) demonstrated significantly higher expression levels of eIF4B eIF4G, eIF5B, and eIF6 in patients suffering from UBC compared to non-neoplastic tissue (healthy controls). In contrast thereto, eIF1 and eIF5A were significantly downregulated in patients suffering from UBC compared to non-neoplastic tissue (healthy controls). The results are shown in