Novel Biomarkers (Kallikreins) for Prognosis and Therapy Response in Ovarian cancer Eleftherios P. Diamandis, M.D., Ph.D., FRCP(C) EORTC-NCI-ASCO Meeting,November 16, 2007
Yousef GM, Diamandis EP. Endocr. Rev. 2001;22:184-204 Human The human kallikrein kallikrein gene protein gene (KLK) locus 19q13.4 Chromosome 19 p13.3 p13.2 p13.1 p12 q12 q13.1 q13.2 q13.3 q13.4 115 3 2 Ψ1 4 5 6 7 8910 11 12 13 14 Coding exons 5 UTR Within the entire human I genome, H II kallikrein D Igenes 0 S 5 1 2 3 4 5 3 UTR Within the entire human genome, kallikrein genes represent: 1. the largest cluster of contiguous protease genes of any kind 2. the largest group of serine proteases 3 H57 D102 S195 N Pre Pro Serine protease domain C
Kallikreins as Cancer Biomarkers
Discovery of a New Biomarker (classical method) Discovery of the gene Recombinant protein Antibodies Assays Preliminary Studies It took us 7 years to set-up KLK ELISAS Efforts to improve assays are still ongoing Detailed Studies Clinical Acceptance
Kallikrein ELISAs Developed/Published KLK4 KLK5 KLK6 KLK7 KLK8 KLK9 KLK10 KLK11 KLK12 KLK13 KLK14 KLK15
Kallikrein 6 A Novel Ovarian Cancer Biomarker
KLK6 in serum KLK6 hk6 (µg/l) (ug/l) 220 200 180 160 140 120 100 80 60 40 20 0 Ovrian Ovarian Breast G.I Thyroid Testicular Prostate Lung Normal Male Cancer Type Nomale Female Diamandis EP, et al. Clin Biochem. 2000;33:579-83
High Serum KLK6 in Ovarian Cancer Associated with: (p < 0.001) Late stage High grade Serous histotype No response to chemotherapy Residual tumor Decreased disease-free & overall survival Independent & Unfavorable Prognostic Indicator Diamandis EP, et al. J Clin Oncol. 2003;21:1035-43
Survival Analysis and Serum KLK6 Survival probability (%) 100 90 80 70 60 50 40 30 20 10 0 0 12 24 36 48 60 p < 0.001 KLK6 negative KLK6 positive 72 84 96 108 100 90 80 70 60 50 40 0 12 24 36 48 60 p = 0.005 KLK6 negative KLK6 positive 72 84 96 108 PFS (months) OS (months) Diamandis EP, et al. J Clin Oncol. 2003;21:1035-43
KLK6 Protein Expression in Ovarian Tissue Extracts 100000 49 fold (p<0.0001) 24 fold (p<0.0001) 23 fold (p<0.0001) KLK6 hk6 (pg/mg) 10000 1000 100 10 1 Normal Benign Malignant Metastasis (Non-ovarian) Number of values Normal 34 Benign 45 Malignant 276 Metastasis 41 Median 49.50 101.0 2408 104.4 Shan et al. Br J Cancer 2007;96:362-72
KLK6 and Histological Subtypes 100 KLK6 Concentration (ng/mg) 10 1 0.1 0.01 0.001 Serous Endometrioid Mucinous Clear Cell Undifferentiated Non-Epithelial Serous Endometrioid Mucinous Clear Cell Undifferentiated Non-Epithelial Median 4.401 1.322 0.5604 1.673 4.043 0.06796
KLK6 and FIGO stage 100 KLK6 Concentration (ng/mg) 10 1 0.1 0.01 Stage I Stage II Stage III Stage IV Median Stage I 0.3158 Stage II 3.333 Stage III 3.838 Stage IV 3.936
KLK6 mrna Expression in Ovarian Tissues KLK6 a KLK6 b ß-actin Marker H1 H2 L1 H3 H4 L2 L3 Brain+ - KLK6 a KLK6 b ß-actin Marker H5 L4 L5 L6 H6 H7 H8 L7 L8 B1 B2 B3 B4 N1 Complete concordance between KLK6 mrna and protein expression points to transcriptional regulation.
Kallikreins Overexpressed in Ovarian Cancer KLK5, KLK6, KLK7, KLK8, KLK10, KLK11 & KLK14 Verified by: Tissue, serum & ascites protein levels mrna (quantitative RT-PCR) Bioinformatics (EST & SAGE databases) Digital Differential Display In-Silico Northern Yousef GM, et al. Cancer Res. 2003;63:2223-7
Independent Validation Early Detection Research Network
Ovarian Cancer-Blinded Study-Pools marker: KLK 5 0 2 4 6 8 10 premenopausal controls geometric mean = 0.55 (1.53) mean disease pool 1: Ov-Ca-1 z = 5.27 6: Ov-Ben-1 z = -0.16 8: Br-Ca-2 z = 0.66 11: Br-Ben-1 z = -0.07.25.5 1 2 4 frequency 0 5 10 15 20 postmenopausal controls geometric mean = 0.50 (1.44) mean disease pool 2: Ov-Ca-2 z = 7.20 3: Ov-Ca-3 z = 1.28 7: Ov-Ben-2 z = -0.52 9: Br-Ca-3 z = -0.39.25.5 1 2 4 all controls 0 5 10 15 20 25 geometric mean = 0.52 (1.48) mean disease pool 4: Ov-Ca-4 z = -0.65 5: Endo z = 0.63 10: Br-Ca-1 z = -0.24.25.5 1 2 4
Ovarian cancer marker: KLK 6 0 2 4 6 8 premenopausal controls geometric mean = 2.80 (1.37) mean disease pool 1: Ov-Ca-1 z = 3.83 6: Ov-Ben-1 z = 0.15 8: Br-Ca-2 z = 0.12 11: Br-Ben-1 z = 1.16 2 4 8 16 frequency 0 2 4 6 8 10 postmenopausal controls geometric mean = 3.12 (1.34) mean disease pool 2: Ov-Ca-2 z = 5.42 3: Ov-Ca-3 z = 0.88 7: Ov-Ben-2 z = 0.50 9: Br-Ca-3 z = 0.48 2 4 8 16 all controls 0 5 10 15 20 geometric mean = 2.98 (1.35) mean disease pool 4: Ov-Ca-4 z = 0.10 5: Endo z = 1.94 10: Br-Ca-1 z = 0.88 2 4 8 16
Ovarian cancer marker: KLK 8 0 2 4 6 8 premenopausal controls geometric mean = 2.14 (1.33) mean disease pool 1: Ov-Ca-1 z = 1.88 6: Ov-Ben-1 z = -1.74 8: Br-Ca-2 z = -1.27 11: Br-Ben-1 z = 0.15 1 2 4 frequency 0 2 4 6 8 postmenopausal controls geometric mean = 2.03 (1.36) mean disease pool 2: Ov-Ca-2 z = 2.41 3: Ov-Ca-3 z = -0.04 7: Ov-Ben-2 z = 0.06 9: Br-Ca-3 z = -0.67 1 2 4 all controls 0 5 10 15 geometric mean = 2.07 (1.35) mean disease pool 4: Ov-Ca-4 z = -0.16 5: Endo z = 0.42 10: Br-Ca-1 z = 0.14 1 2 4
Ovarian cancer marker: KLK 10 0 2 4 6 8 premenopausal controls geometric mean = 1.41 (1.41) mean disease pool 1: Ov-Ca-1 z = 4.23 6: Ov-Ben-1 z = -0.57 8: Br-Ca-2 z = -0.97 11: Br-Ben-1 z = 0.92.5 1 2 4 8 frequency 0 2 4 6 8 10 postmenopausal controls geometric mean = 1.18 (1.56) mean disease pool 2: Ov-Ca-2 z = 4.48 3: Ov-Ca-3 z = 0.73 7: Ov-Ben-2 z = 0.10 9: Br-Ca-3 z = 0.22.5 1 2 4 8 all controls 0 5 10 15 geometric mean = 1.27 (1.51) mean disease pool 4: Ov-Ca-4 z = -0.42 5: Endo z = -0.16 10: Br-Ca-1 z = 0.20.5 1 2 4 8
Ovarian cancer marker: KLK 11 0 2 4 6 8 10 premenopausal controls geometric mean = 0.43 (2.51) mean disease pool 1: Ov-Ca-1 z = 2.37 6: Ov-Ben-1 z = 0.42 8: Br-Ca-2 z = 0.14 11: Br-Ben-1 z = 0.62.125.25.5 1 2 4 frequency 0 5 10 15 postmenopausal controls geometric mean = 0.48 (2.60) mean disease pool 2: Ov-Ca-2 z = 2.61 3: Ov-Ca-3 z = 1.07 7: Ov-Ben-2 z = 0.47 9: Br-Ca-3 z = 0.22.125.25.5 1 2 4 all controls 0 5 10 15 20 25 geometric mean = 0.46 (2.55) mean disease pool 4: Ov-Ca-4 z = 0.56 5: Endo z = 0.47 10: Br-Ca-1 z = 0.89.125.25.5 1 2 4
EDRN-Ovarian Study Validation (Serum) PLCO samples (approx.1,000; mix normal/ benign/ early and late stage ovarian cancer) 30-40 biomarkers and proteomic patterns under evaluation Blinded Identify individual markers and panels Results will be available early next year
Multiparametric KLK Prognostic Panel We measured nine KLKs in ovarian cancer cytosolic extracts Developed multiparametric models for prognosis and prediction of patient response to chemotherapy Zheng et al Clin Cancer Res (in press)
Zheng et al Clin Cancer Res (in press) Multiparametric KLK Prognostic Panel Individual Markers-Patient Classification
Multiparametric KLK Prognostic Panel Biomarker Combinations-Patient Classification Zheng et al Clin Cancer Res (in press)
Multiparametric KLK Prognostic Panel Patient Outcome (PFS) at 1 year Combined Marker (1 year) Combined Marker + Clinical (1 year) 1.0 1.0 True Positive Fraction 0.8 0.6 0.4 0.2 AUC: 0.76 (0.70, 0.85) True Positive Fraction 0.8 0.6 0.4 0.2 AUC: 0.90 (0.86, 0.96) 95% CI 95% CI 0.0 0.0 Clinic Only 0.74 (0.64, 0.86) 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 False Positive Fraction False Positive Fraction Combined marker for 1 year: KLK6, KLK8, KLK11 and KLK13 Zheng et al Clin Cancer Res (in press)
Multiparametric KLK Prognostic Panel Response to chemotherapy Combined Marker CR/PR : NC/PD Combined Marker + Clinical CR/PR : NC/PD 1.0 1.0 True Positive Fraction 0.8 0.6 0.4 0.2 AUC: 0.76 (0.70, 0.85) True Positive Fraction 0.8 0.6 0.4 0.2 AUC: 0.90 (0.86, 0.96) 95% CI 95% CI 0.0 0.0 Clinic Only 0.74 (0.64, 0.86) 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 False Positive Fraction False Positive Fraction Group of Biomarkers (CA 125, KLK8, KLK13) Zheng et al Clin Cancer Res (in press)
KLK Gene Dysregulation in Cancer Translocation of KLK locus in cancer Breast cancer cell line: MDA-MB-468 FISH analysis FISH using the whole chromosome paint 20 (green) cohybridizes with the 19q13.3/4 BACs (red) confirming previous SKY data suggesting that chromosome 19 material was translocated to chromosome 20. CONCLUSION: Low copy number gain in this hyper-diploid line (pseudotriploid). Two copies reside at the resident chromosome 19 and the other copy was translocated to chromosome 20. Bayani et al. Submitted 2007
Unbalanced Translocations of the KLK Locus in Ovarian Cancer Very frequent in cell lines (ovarian and breast) Translocations found in 8 out of 8 (100%) of ovarian cancer patients Relationship of translocations to KLK dysregulation (up or down- regulation is currently under investigation Role of translocations to prognosis is under investigation Bayani et al. Submitted 2007
Conclusions KLKs are among the most promising new cancer biomarkers but they need additional validation Diagnostic, prognostic, predictive Panels with other biomarkers may be they way to the future Understanding their physiology/pathobiology may lead to better clinical applications, including therapeutics