HAAH and MMP-9 are Complementary Cancer Biomarkers and Predictors of Metastasis when Combined
20190049455 ยท 2019-02-14
Inventors
Cpc classification
G16B40/00
PHYSICS
G16H10/40
PHYSICS
A61K9/1271
HUMAN NECESSITIES
G16H50/30
PHYSICS
G16B20/00
PHYSICS
G01N2333/90245
PHYSICS
International classification
G16H50/30
PHYSICS
G01N33/543
PHYSICS
A61K9/127
HUMAN NECESSITIES
Abstract
The present disclosure relates to methods of using biomarkers as early disease and patient outcome predictors. More particularly, the present disclosure encompasses methods of predicting cancer metastasis by detecting and/or quantifying aspartyl (asparaginyl) beta hydroxylase (HAAH) and matrix metalloproteinase 9 (MMP9) in a biological sample.
Claims
1. A method for determining the probability of metastasis in a subject comprising: obtaining a biological sample from the subject, detecting the presence of Aspartyl-(Asparaginyl)--hydroxylase (HAAH) in the biological sample, detecting the presence of Matrix metallopeptidase 9 (MMP-9) in the biological sample, wherein the presence of both, HAAH and MMP9, in the biological sample indicates an increased probability of metastasis.
2. A method for calculating a metastasis score in a subject comprising: detecting HAAH and MMP9 levels in a biological sample from the subject, if the detected HAAH and MMP9 levels in the biological sample are measurable, multiplying the subject's HAAH level by 10 to obtain a normalized HAAH level, adding to the normalized HAAH level the subject's MMP9 level to obtain a total biomarker level, dividing the total biomarker level by 100, and rounding down to obtain a metastatic score, wherein the risk of metastasis increases as the value of the metastatic score increases.
3. The method of claim 1, wherein the subject is a mammal.
4. The method of claim 3, wherein the subject is a human.
5. The method of claim 1, wherein the biological sample is a bodily fluid.
6. The method of claim 5, wherein the bodily fluid is selected from the group consisting of blood, blood fraction, saliva, urine, pleural effusion, semen, or breast discharge.
7. The method of claim 6, wherein the bodily fluid is a blood fraction selected from serum and plasma.
8. The method of claim 7, wherein the bodily fluid is serum.
9. The method of claim 1, wherein exosomes are prepared from the biological sample.
10. The method of claim 2, wherein the metastatic score is 5 or higher.
11. The method of claim 1, wherein the levels of HAAH and MMP9 are detected using antibodies to HAAH and MMP9.
12. The method of claim 11, wherein HAAH and MMP9 are detected using an ELISA assay.
13. A kit for determining the probability of metastasis in a subject, the kit comprising reagents for the detection and quantification of HAAH, reagents for the detection and quantification of MMP9, and instructions for the in vitro detection and quantification of HAAH and MMP9.
14. The kit of claim 13, wherein the kit comprises magnetic beads coated with an anti-HAAH-specific antibody, and magnetic beads coated with an MMP9-specific antibody.
Description
BRIEF DESCRIPTION OF THE FIGURES
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DETAILED DESCRIPTION OF THE INVENTION
[0030] For simplicity and illustrative purposes, the principles of the present invention are described by referring to various exemplary embodiments thereof. Although the preferred embodiments of the invention are particularly disclosed herein, one of ordinary skill in the art will readily recognize that the same principles are equally applicable to, and can be implemented in other systems, and that any such variation would be within such modifications that do not part from the scope of the present invention. Before explaining the disclosed embodiments of the present invention in detail, it is to be understood that the invention is not limited in its application to the details of any particular arrangement shown, since the invention is capable of other embodiments. The terminology used herein is for the purpose of description and not of limitation. Further, although certain methods are described with reference to certain steps that are presented herein in certain order, in many instances, these steps may be performed in any order as would be appreciated by one skilled in the art, and the methods are not limited to the particular arrangement of steps disclosed herein.
[0031] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Although any methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present invention, the methods and materials used are now described. All publications mentioned herein are incorporated herein by reference in their entirety.
[0032] For avoidance of doubt, the term metastasis indicates the development of additional tumor growths at a distance from a primary site of cancer.
[0033] In the present disclosure, MMP-9 and MMP9 are used interchangeably and refer to the matrix metallopeptidase 9, also known as 92 kDa type IV collagenase, 92 kDa gelatinase or gelatinase B (GELB). Matrix metallopeptidase 9 is a matrixin, a class of enzymes that belong to the zinc-metalloproteinases family involved in the degradation of the extracellular matrix. In humans the MMP9 gene encodes for a signal peptide, a propeptide, a catalytic domain with inserted three repeats of fibronectin type II domain followed by a C-terminal hemopexin-like domain.
[0034] The Malvern Panalytical (Malvern, United Kingdom) NANOSIGHT instruments are said to provide an easy-to-use, reproducible platform for nanoparticle characterization.
[0035] Exosomes may be defined as extracellular vesicles that are released from cells upon fusion of an intermediate endocytic compartment, the multivesicular body, with the plasma membrane. This liberates intraluminal vesicles (ILVs) into the extracellular milieu and the vesicles thereby released are what is currently known as exosomes. Methods for isolating exosomes are known in the art and are taught, for example, in U.S. Pat. No. 8,901,284; U.S. Pat. No. 9,005,888; and Thry C. et al. (2006, Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluid, Curr. Protoc. Cell Biol. 3 (2): 22).
[0036] The present invention provides methods for evaluating or predicting the likelihood that a subject having cancer will experience metastasis. The present disclosure is based on the discovery that the presence of certain complementary biomarkers can be used to assess the risk of metastasis in a subject. Together, complementary biomarkers associated with mediators of cancer cell mobility and invasiveness can be used as early disease and patient outcome predictors. The present disclosure provides a quantitative assessment of HAAH [aspartyl (asparaginyl) beta hydroxylase] and MMP9 [matrix metalloproteinase 9] in serum/serum exosomes from cancer patients to evaluate their concerted role in metastasis and formulate a metastatic score.
[0037] In some embodiments, the subject is a mammal. A mammal may be a domesticated animal (e.g., cow, sheep, cat, dog, or horse), a primate (e.g., a human or a non-human primate such as a monkey), a rabbit, or a rodent (e.g., a mouse or a rat). In some embodiments, the mammal is a human.
[0038] In some embodiments, the subject suffers from a cancer selected from the group consisting of breast cancer, colon cancer, lung cancer, prostate cancer, testicular cancer, brain cancer, skin cancer, rectal cancer, gastric cancer, esophageal cancer, sarcomas, tracheal cancer, head and neck cancer, pancreatic cancer, liver cancer, ovarian cancer, lymphoid cancer, cervical cancer, vulvar cancer, melanoma, mesothelioma, renal cancer, bladder cancer, thyroid cancer, bone cancers, carcinomas, sarcomas, and soft tissue cancers. Thus, the method for the present invention is generally applicable to any type of cancer in which epithelial-mesenchymal transition (EMT) occurs.
[0039] In some embodiments, the biological sample is a fluid sample from the subject. The biological sample may be any fluid such as blood, saliva, urine, pleural effusion, semen, or breast discharge. In some embodiments, the biological sample is a blood sample. By blood sample is meant a volume of whole blood or fraction thereof, eg, serum, plasma, etc. In some embodiments the biological sample is serum.
[0040] The ectopic expression of human Aspartyl (Asparaginyl) -Hydroxylase (HAAH) as a serum cancer biomarker closely parallels significant cancer cell specific events such as cellular differentiation, motility, and metastasis (Ince N., et al., 2000, Overexpression of human aspartyl (asparaginyl) -hydroxylase is associated with malignant transformation, Cancer Res. 60:
[0041] The biomarkers discussed herein may be detected and/or quantified by any method known presently in the art. Exemplary methods include, but are not limited to spectrometry methods, high-performance liquid chromatography (HPLC), liquid chromatography-mass spectrometry (LC/MS), antibody dependent methods, enzyme-linked immunosorbent assay (ELISA), protein immunoprecipitation, immunoelectrophoresis, protein immunostaining.
[0042] The present invention encompasses methods for predicting metastasis in a subject comprising the steps of:
[0043] obtaining a biological sample from the subject,
[0044] detecting if there is HAAH in the biological sample and
[0045] detecting if there is MMP9 in the biological sample,
wherein the presence of both, HAAH and MMP9, in the biological sample indicates an increased probability of metastasis.
[0046] The present invention also encompasses methods for predicting the probability of metastasis in a subject comprising the steps of:
[0047] obtaining a biological sample from the subject,
[0048] quantifying the level of HAAH in the biological sample,
[0049] quantifying the level of MMP9 in the biological sample, and
determining a metastatic score based on the levels of HAAH and MMP9, wherein the metastatic score indicates probability of metastasis in the subject.
[0050] In some embodiments, thee metastatic score is calculated as:
Metastatic Score=[HAAH (ng/ml)10+MMP9 (ng/ml)]100
[0051] The present invention encompasses a kit for determining the probability of metastasis in a subject. The kit comprises materials that can detect the presence of HAAH and materials that can detect the presence of MMP9 in a biological sample from the subject, and instructions for carrying out an in-vitro determination of the presence of HAAH and MMP9 in the biological sample.
[0052] An embodiment of the invention encompasses a kit for determining the probability of metastasis in a subject. The kit comprises materials that can detect the presence of HAAH and materials that can detect the presence of MMP9 in a biological sample from the subject, and instructions for carrying out an in-vitro determination of the presence of HAAH and MMP9 in the biological sample.
[0053] In an embodiment, the invention provides kits for determining the probability of tumor cells in a subject undergoing metastasis, where the kit includes an agent that specifically binds to HAAH and an agent that specifically binds to MMP9. In some embodiments, the agents that bind HAAH and MMP9 are monoclonal antibodies. The kit may also include instructions for using the agent that specifically binds to HAAH and the agent that specifically binds to MMP9 to determine in vitro the presence of HAAH and MMP9 in the subject.
[0054] In some embodiments the kit uses antibodies as capture reagents. In some embodiments, a substrate (e.g., a multiwell plate) can have a specific HAAH and/or MMP9 capture reagent attached thereto. In some embodiments, a kit can have a blocking reagent included. Blocking reagents can be used to reduce non-specific binding. For example, non-specific antibody binding can be reduced using an excess of a blocking protein such as serum albumin. It can be appreciated that numerous methods for detecting peptides and proteins are known in the art, and any strategy that can specifically detect HAAH and MMP9 molecules can be used and be considered within the scope of this invention.
[0055] Methods for the quantitation of proteins are known in the art. For example, antibodies may be used to determine HAAH and MMP9 quantitation using western blots, immunohistochemistry, immunocytochemistry, flow cytometry, immunoprecipitation, immunoassay, functional assay, Enzyme Linked Immunosorbent Assay (ELISA), Electrophoretic Mobility Shift Assay (EMSA), among others.
[0056] In some embodiments, HAAH and MMP9 may be detected in a biological sample by adding magnetic beads coated with an HAAH specific antibody and magnetic beads coated with an MMP9 specific antibody to the biological sample, and analyzing the magnetic beads for the presence of HAAH and MMP9.
[0057] In some embodiments, a kit for determining the probability of tumor cells undergoing metastasis comprises magnetic beads coated with HAAH and magnetic beads coated with MMP9. In some embodiments, the kit includes instructions for determining the presence of HAAH and of MMP9. In some embodiments the kit includes instructions for calculating a risk score that the cells will undergo metastasis.
[0058] There is long-standing interest in elevated serum MMP9 as a biomarker that may have predictive value in assessing metastatic progression in a number of cancers (Vihinen P. and Kahari V. M., 2002, Matrix metalloproteinases in cancer: prognostic markers and therapeutic targets, Int. J. Cancer 99:157). However this elevation is sometimes non-specific, as a heightened expression can occur in destructive inflammatory tissue diseases other than cancer, such as arthritis (Gruber B. L., et al., 1996, Markedly elevated serum MMP-9 (gelatinase B) levels in rheumatoid arthritis: a potentially useful laboratory marker, Clin. Immunol. Immunopathol. 78: 161), and vasculitis (Takeshita S., et al., 2001, Elevated serum levels of matrix metalloproteinase-9 (MMP-9) in Kawasaki disease, Clin. Exp. Immunol. 125: 340). The present investigation therefore seeks out to combine MMP9 and a complementary biomarker, HAAH, which has been shown to have a good general predictive value for cancer.
[0059] Despite expectations that both MMP9 and HAAH should be similar, and could be recovered in the serum exosomal compartment, their relative expression was not always directly correlated in serum samples. This allows a unique ability to stratify HAAH scoring as being associated or not with possible metastatic disease.
EXAMPLE
Methods
[0060] We detect serum and exosomal HAAH by a simultaneous-homologous ELISA format using an in house manufactured reagent kit comprising pre-coated microplates and pre-formulated reagents. Serum and exosomal MMP9 was detected with a commercial reagent kit ELISA (Abeam; Cambridge, United Kingdom). Exosomes were prepared using a 50% polyethylene glycol 6000/0.5 M NaCl solution added to serum, centrifugation, and reconstitution. CEA positive cancer and healthy serum samples were obtained commercially (Complex Antibodies; Margate, U.S.A) or through off site collaborators.
Preparation of Exosomes
[0061] Exosomes were prepared from serum by a method essentially as described by Manri et al (2017, Size-Selective Harvesting of Extracellular Vesicles for Strategic Analyses Towards Tumor Diagnoses, Appl. Biochem. Biotechnol. 182: 609) using a 10% net final concentration of Polyethylene Glycol 6000. Fifty microliters (50 l) (or multiples of this volume) from each serum sample or control was mixed with 10 L (or multiples thereof) of 50% polyethylene glycol 6000 in 0.5 M NaCl. After a 10 minute incubation at room temperature, the samples were centrifuged at 10,000g for 10 minutes. After aspirating the supernatant, the exosomal pellets were reconstituted with either 50 L Phosphate Buffered Saline (PBS) or 50 L pooled normal serum (Innovative Research Inc.; Novi, Mich., U.S.A.). Exosomes prepared in this manner were evaluated using a NANOSIGHT nanoparticle tracking analysis instrument (Malvern Panalytical, Malvern, United Kingdom).
HAAH ELISA
[0062] The HAAH ELISA was carried out using pre-formulated buffers, reagents, and Mylar-packaged pre-coated microplates in a reagent kit format. A workflow diagram of the HAAH assay is depicted in
[0063] The FB50 antibody was produced using the hybridoma cell line having American Type Culture Collection (ATCC) accession number PTA 3386. Recombinant HAAH (rHAAH) was prepared as an affinity-purified baculovirus-expressed protein, and served as assay calibrator. In the ELISA assay exosomes, prepared as above, were incubated in the presence of FB50 antibody labeled with biotin and streptavidin, reacted with an FB50-coated microplate, and visualized. A graph of a typical ELISA rHAAH standard calibration curve is depicted in
MMP-9 ELISA
[0064] An MMP9 ELISA reagent kit (Abcam) comprising capture antibodies, detection antibodies, and all the raw materials was utilized for the serum and exosome MMP9 quantification. A graph of a typical rMMP9 standard calibration curve is shown in
[0065] Samples tested were either frozen archived serum or fresh serum received from an off-site clinical laboratory. The off-site samples were shipped via overnight courier to the laboratory prior to testing in the field study.
[0066] Table 2, below, lists the characteristics of the samples in a BIORECLAMATION commercial cancer serum set (BIORECLAMATION, Hicksville, N.Y., U.S.A.), the measured HAAH and MMP9 levels, and the calculated metastatic risk score in these samples. This BIORECLAMATION commercial cancer serum set is derived from a mixed selection of cancers (lung, prostate, breast).
TABLE-US-00001 TABLE 2 BIORECLAMATION CANCER SERUM SET CHARACTERISTICS, HAAH AND MMP9 LEVELS, METASTATIC SCORE Lot # HAAH MMP9 Age Stage Type Metastatic Score BRH653948 60.5 599.4 82 4 Lung Yes, lymph 1204.4 BRH653949 29.9 206.6 N/A 4 Lung Yes, bone 505.6 BRH653950 * 83.8 81 4 Lung Yes, bone * BRH653952 8.3 83.8 79 4 Lung N/A 166.8 BRH653953 6.7 54.9 72 2 Lung N/A 121.9 BRH653954 10.6 53.3 84 4 Lung N/A 159.3 BRH653955 14.4 56.5 73 4 Lung N/A 200.5 BRH653956 2 33.3 64 3 Lung N/A 53.3 BRH653957 36.7 30.9 65 3 Lung N/A 397.9 BRH653959 2 112.9 70 4 Lung N/A 132.9 BRH653960 20.9 34.1 69 2 Prostate N/A 243.1 BRH653961 3.4 108.1 78 1 Prostate N/A 142.1 BRH653964 32.4 90.3 63 T1C Prostate N/A 414.3 BRH653965 125 70.9 87 N/A Prostate N/A 1320.9 BRH653966 72.1 46.13 86 N/A Prostate N/A 767.13 BRH653967 2 200 78 4 Prostate N/A 220 BRH653969 * 142.3 69 N/A Prostate N/A * BRH653970 26.2 58 66 4 Prostate N/A 320 BRH653971 12.1 121.9 75 4 Prostate Yes 242.9 BRH653974 * 182.6 57 T1C Prostate No * BRH653975 9.6 71.7 74 N/A Prostate No 167.7 BRH653979 13.1 411.1 68 T2B Prostate unk 542.1 BRH653980 45.3 118.6 78 N/A Prostate N/A 571.6 BRH653981 71.6 158.7 63 T3A Prostate N/A 874.7 BRH653982 15.6 111.3 84 4 Prostate N/A 267.3 BRH653984 46.2 61.3 75 N/A Prostate N/A 523.3 BRH653986 72.1 46.1 48 T1C Prostate N/A 767.1 BRH653989 6.4 102.4 73 4 Prostate N/A 166.4 BRH653991 54 166.1 71 N/A Prostate N/A 706.1 BRH653992 16.2 343.5 86 4 Prostate N/A 505.5 BRH653993 17.1 143.9 63 N/A Prostate N/A 314.9 BRH653995 2 168.6 68 T1C Prostate N/A 188.6 BRH653948 60.5 599.4 82 4 Lung Yes, lymph 1204.4 BRH653949 29.9 206.6 N/A 4 Lung Yes, bone 505.6 BRH653996 9.8 70.1 72 4 Prostate N/A 168.1 BRH653997 7.6 41.3 82 1 Prostate N/A 117.3 BRH653998 21.1 58.9 67 N/A Prostate N/A 269.9 BRH654000 61.5 161.2 64 N/A Prostate N/A 776.2 BRH654003 4.1 97.5 81 N/A Prostate N/A 138.5 BRH654004 31.6 234.1 70 N/A Prostate N/A 550.1 BRH654005 2 113.8 78 N/A Prostate N/A 133.8 BRH654007 2 228.3 79 1 Prostate N/A 248.3 BRH654008 16.7 359.9 72 T1C Prostate N/A 526.9 BRH654020 16.3 180.9 63 2 Breast N/A 343.9 BRH654021 6.4 95.1 66 4 Breast No 159.1 BRH654022 2 240.9 72 1 Breast No 260.9 BRH654028 9.6 131.7 49 N/A Breast N/A 227.7 BRH654029 8.4 340.9 63 1 Breast N/A 424.9 BRH654030 2 187.5 67 3 Breast Yes, lymph 207.5 BRH654032 * 80.6 68 1 Breast unk * BRH654033 8.2 240 72 N/A Breast N/A 322 BRH654034 38.4 283.8 74 0 Breast No 667.8 BRH654037 4.7 82.2 65 N/A Breast Yes, adrenal 129.2 BRH654041 12.7 123.5 56 4 Breast Yes, axillary 250.2 BRH654042 8.4 42.9 69 2 BReast unk 126.9 BRH654044 2 74.9 47 2 Breast No 94.9 BRH654046 96.4 247.6 54 N/A Breast unk 1211.6 BRH654048 9.1 118.6 46 2 Breast No 209.6 BRH654049 16 128.4 32 3 Breast Yes, lymph 288.4 BRH654051 34.2 80.6 70 N/A Breast unk 422.6 BRH654052 52.7 148.8 79 T1N1Mo Breast unk 675.8 * Not determined
[0067] A plotted relationship of the HAAH and MMP9 levels presented in Table 2 is shown in
[0068] Albeit limited, the known information about metastatic disease in the BIORECLAMATION set indicates that 5 out of every 7 samples (71%) can be scored according to the cutoffs given as both HAAH and MMP9 positive. Moreover, only 1 out of 19 samples (5%) that were positive for HAAH and negative for MMP9 had known metastatic disease.
[0069] A subset of the data from Table 2 is presented below in Table 3. This table lists only the samples from the BIORECLAMATION set which are known to be positive for metastasis. This table also depicts the metastatic score and the risk of metastasis in each of the samples. The metastatic score was calculated using the HAAH and MMP9 levels obtained with a NANOSIGHT instrument. The metastatic score was calculated using the formula:
Metastatic Score=[HAAH (ng/ml)10+MMP9 (ng/ml)]/100
[0070] A metastatic score less than 2 was given a risk value of 1; a metastatic score of at least 2 but less than 3 was given a risk value of 2; a metastatic score of at least 3 but less than 4 was given a risk value of 3; a metastatic score of at least 4, but less than 5 was given a risk value of 4; and a metastatic score of 5 and above was given a risk value of 5.
TABLE-US-00002 TABLE 3 HAAH and MMP9 in Metastatic Samples HAAH MMP9 Sample Age Cancer Metastasis (ng/ml) (ng/ml) Score Risk 1 BRH653948 82 lung lymph node 60.5 599.4 1204.4 5 2 BRH653949 * lung bone 29.9 206.6 505.6 5 3 BRH653971 75 prostate Lung, bone 12.1 121.9 243 2 4 BRH654030 67 breast lymph node 2.0 187.5 207 2 5 BRH654037 65 breast adrenal gland 4.7 82.2 130 1 6 BRH65041 56 breast lymph node 12.7 123.5 250 2 7 BRH654049 32 breast lymph node 16.0 128.4 290 2 * Not available N/A Not applicable
[0071] The data for the HAAH and MMP9 levels obtained in samples from an ongoing study of 48 high-risk volunteers is shown in
[0072] The changes seen between the samples from high risk volunteer H44 taken 6 weeks apart were associated with a more normalized exosome pattern obtained using NANOSIGHT exosome sizing instrument (Salisbury, United Kingdom).
CONCLUSIONS
[0073] HAAH and MMP9 are both expected to be closely associated with metastatic activity of cancer cells, both co-localize in cancer derived exosomes, and both appear to be regulated by the same transcription factor(s). The expression of HAAH and MMP9 in serum samples is mostly coincident but sometimes may differ. This may explain differences in metastatic potential. These studies are focused upon determining whether using both biomarkers could lead to a more accurate prediction of metastatic potential. Blood levels of HAAH combined with those of MMP9 can provide a metastatic score to be used in patient management.
[0074] While the invention has been described with reference to certain exemplary embodiments thereof, those skilled in the art may make various modifications to the described embodiments of the invention without departing from the scope of the invention. The terms and descriptions used herein are set forth by way of illustration only and not meant as limitations. In particular, although the present invention has been described by way of examples, a variety of compositions and processes would practice the inventive concepts described herein. Although the invention has been described and disclosed in various terms and certain embodiments, the scope of the invention is not intended to be, nor should it be deemed to be, limited thereby and such other modifications or embodiments as may be suggested by the teachings herein are particularly reserved, especially as they fall within the breadth and scope of the claims here appended. Those skilled in the art will recognize that these and other variations are possible within the scope of the invention as defined in the following claims and their equivalents.