Search

Your search keyword '"Bodelon, C."' showing total 3 results
Start Over Author "Bodelon, C." Topic transcriptome
3 results on '"Bodelon, C."'

1. Development and Validation of the Gene Expression Predictor of High-grade Serous Ovarian Carcinoma Molecular SubTYPE (PrOTYPE).

Author

Talhouk A, George J, Wang C, Budden T, Tan TZ, Chiu DS, Kommoss S, Leong HS, Chen S, Intermaggio MP, Gilks B, Nazeran TM, Volchek M, Elatre W, Bentley RC, Senz J, Lum A, Chow V, Sudderuddin H, Mackenzie R, Leong SCY, Liu G, Johnson D, Chen B, Group A, Alsop J, Banerjee SN, Behrens S, Bodelon C, Brand AH, Brinton L, Carney ME, Chiew YE, Cushing-Haugen KL, Cybulski C, Ennis D, Fereday S, Fortner RT, García-Donas J, Gentry-Maharaj A, Glasspool R, Goranova T, Greene CS, Haluska P, Harris HR, Hendley J, Hernandez BY, Herpel E, Jimenez-Linan M, Karpinskyj C, Kaufmann SH, Keeney GL, Kennedy CJ, Köbel M, Koziak JM, Larson MC, Lester J, Lewsley LA, Lissowska J, Lubiński J, Luk H, Macintyre G, Mahner S, McNeish IA, Menkiszak J, Nevins N, Osorio A, Oszurek O, Palacios J, Hinsley S, Pearce CL, Pike MC, Piskorz AM, Ray-Coquard I, Rhenius V, Rodriguez-Antona C, Sharma R, Sherman ME, De Silva D, Singh N, Sinn P, Slamon D, Song H, Steed H, Stronach EA, Thompson PJ, Tołoczko A, Trabert B, Traficante N, Tseng CC, Widschwendter M, Wilkens LR, Winham SJ, Winterhoff B, Beeghly-Fadiel A, Benitez J, Berchuck A, Brenton JD, Brown R, Chang-Claude J, Chenevix-Trench G, deFazio A, Fasching PA, García MJ, Gayther SA, Goodman MT, Gronwald J, Henderson MJ, Karlan BY, Kelemen LE, Menon U, Orsulic S, Pharoah PDP, Wentzensen N, Wu AH, Schildkraut JM, Rossing MA, Konecny GE, Huntsman DG, Huang RY, Goode EL, Ramus SJ, Doherty JA, Bowtell DD, and Anglesio MS

Subjects
Aged, Algorithms, Cystadenoma, Serous classification, Cystadenoma, Serous pathology, Female, Gene Expression Regulation, Neoplastic genetics, Humans, Lymphocytes, Tumor-Infiltrating pathology, Middle Aged, Neoplasm Grading, Neoplasm, Residual classification, Neoplasm, Residual genetics, Neoplasm, Residual pathology, Ovarian Neoplasms classification, Ovarian Neoplasms pathology, Cystadenoma, Serous genetics, Neoplasm Proteins genetics, Ovarian Neoplasms genetics, Transcriptome genetics
Abstract

Purpose: Gene expression-based molecular subtypes of high-grade serous tubo-ovarian cancer (HGSOC), demonstrated across multiple studies, may provide improved stratification for molecularly targeted trials. However, evaluation of clinical utility has been hindered by nonstandardized methods, which are not applicable in a clinical setting. We sought to generate a clinical grade minimal gene set assay for classification of individual tumor specimens into HGSOC subtypes and confirm previously reported subtype-associated features., Experimental Design: Adopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene expression data from 1,650 tumors. We applied resulting models to NanoString data on 3,829 HGSOCs from the Ovarian Tumor Tissue Analysis consortium. We further developed, confirmed, and validated a reduced, minimal gene set predictor, with methods suitable for a single-patient setting., Results: Gene expression data were used to derive the predictor of high-grade serous ovarian carcinoma molecular subtype (PrOTYPE) assay. We established a de facto standard as a consensus of two parallel approaches. PrOTYPE subtypes are significantly associated with age, stage, residual disease, tumor-infiltrating lymphocytes, and outcome. The locked-down clinical grade PrOTYPE test includes a model with 55 genes that predicted gene expression subtype with >95% accuracy that was maintained in all analytic and biological validations., Conclusions: We validated the PrOTYPE assay following the Institute of Medicine guidelines for the development of omics-based tests. This fully defined and locked-down clinical grade assay will enable trial design with molecular subtype stratification and allow for objective assessment of the predictive value of HGSOC molecular subtypes in precision medicine applications. See related commentary by McMullen et al., p. 5271 ., (©2020 American Association for Cancer Research.)

Published
2020
Full Text
View/download PDF

2. Prognostic gene expression signature for high-grade serous ovarian cancer.

Author

Millstein, J, Budden, T, Goode, EL, Anglesio, MS, Talhouk, A, Intermaggio, MP, Leong, HS, Chen, S, Elatre, W, Gilks, B, Nazeran, T, Volchek, M, Bentley, RC, Wang, C, Chiu, DS, Kommoss, S, Leung, SCY, Senz, J, Lum, A, Chow, V, Sudderuddin, H, Mackenzie, R, George, J, AOCS Group, Fereday, S, Hendley, J, Traficante, N, Steed, H, Koziak, JM, Köbel, M, McNeish, IA, Goranova, T, Ennis, D, Macintyre, G, Silva De Silva, D, Ramón Y Cajal, T, García-Donas, J, Hernando Polo, S, Rodriguez, GC, Cushing-Haugen, KL, Harris, HR, Greene, CS, Zelaya, RA, Behrens, S, Fortner, RT, Sinn, P, Herpel, E, Lester, J, Lubiński, J, Oszurek, O, Tołoczko, A, Cybulski, C, Menkiszak, J, Pearce, CL, Pike, MC, Tseng, C, Alsop, J, Rhenius, V, Song, H, Jimenez-Linan, M, Piskorz, AM, Gentry-Maharaj, A, Karpinskyj, C, Widschwendter, M, Singh, N, Kennedy, CJ, Sharma, R, Harnett, PR, Gao, B, Johnatty, SE, Sayer, R, Boros, J, Winham, SJ, Keeney, GL, Kaufmann, SH, Larson, MC, Luk, H, Hernandez, BY, Thompson, PJ, Wilkens, LR, Carney, ME, Trabert, B, Lissowska, J, Brinton, L, Sherman, ME, Bodelon, C, Hinsley, S, Lewsley, LA, Glasspool, R, Banerjee, SN, Stronach, EA, Haluska, P, Ray-Coquard, I, Mahner, S, Winterhoff, B, Slamon, D, Levine, DA, Kelemen, LE, Benitez, J, and Chang-Claude, J

Subjects
AOCS Group, Humans, Cystadenocarcinoma, Serous, Ovarian Neoplasms, Prognosis, Proportional Hazards Models, Survival Analysis, Female, Transcriptome, formalin-fixed paraffin-embedded, gene expression, high-grade serous ovarian cancer, overall survival, prognosis, Rare Diseases, Genetic Testing, Cancer, Ovarian Cancer, Genetics, 4.4 Population screening, 4.2 Evaluation of markers and technologies, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

BackgroundMedian overall survival (OS) for women with high-grade serous ovarian cancer (HGSOC) is ∼4 years, yet survival varies widely between patients. There are no well-established, gene expression signatures associated with prognosis. The aim of this study was to develop a robust prognostic signature for OS in patients with HGSOC.Patients and methodsExpression of 513 genes, selected from a meta-analysis of 1455 tumours and other candidates, was measured using NanoString technology from formalin-fixed paraffin-embedded tumour tissue collected from 3769 women with HGSOC from multiple studies. Elastic net regularization for survival analysis was applied to develop a prognostic model for 5-year OS, trained on 2702 tumours from 15 studies and evaluated on an independent set of 1067 tumours from six studies.ResultsExpression levels of 276 genes were associated with OS (false discovery rate < 0.05) in covariate-adjusted single-gene analyses. The top five genes were TAP1, ZFHX4, CXCL9, FBN1 and PTGER3 (P < 0.001). The best performing prognostic signature included 101 genes enriched in pathways with treatment implications. Each gain of one standard deviation in the gene expression score conferred a greater than twofold increase in risk of death [hazard ratio (HR) 2.35, 95% confidence interval (CI) 2.02-2.71; P < 0.001]. Median survival [HR (95% CI)] by gene expression score quintile was 9.5 (8.3 to -), 5.4 (4.6-7.0), 3.8 (3.3-4.6), 3.2 (2.9-3.7) and 2.3 (2.1-2.6) years.ConclusionThe OTTA-SPOT (Ovarian Tumor Tissue Analysis consortium - Stratified Prognosis of Ovarian Tumours) gene expression signature may improve risk stratification in clinical trials by identifying patients who are least likely to achieve 5-year survival. The identified novel genes associated with the outcome may also yield opportunities for the development of targeted therapeutic approaches.

Published
2020

3. Prognostic gene expression signature for high-grade serous ovarian cancer

Author

Millstein, J, Budden, T, Goode, EL, Anglesio, MS, Talhouk, A, Intermaggio, MP, Leong, HS, Chen, S, Elatre, W, Gilks, B, Nazeran, T, Volchek, M, Bentley, RC, Wang, C, Chiu, DS, Kommoss, S, Leung, SCY, Senz, J, Lum, A, Chow, V, Sudderuddin, H, Mackenzie, R, George, J, AOCS Group, Fereday, S, Hendley, J, Traficante, N, Steed, H, Koziak, JM, Köbel, M, McNeish, IA, Goranova, T, Ennis, D, Macintyre, G, Silva De Silva, D, Ramón Y Cajal, T, García-Donas, J, Hernando Polo, S, Rodriguez, GC, Cushing-Haugen, KL, Harris, HR, Greene, CS, Zelaya, RA, Behrens, S, Fortner, RT, Sinn, P, Herpel, E, Lester, J, Lubiński, J, Oszurek, O, Tołoczko, A, Cybulski, C, Menkiszak, J, Pearce, CL, Pike, MC, Tseng, C, Alsop, J, Rhenius, V, Song, H, Jimenez-Linan, M, Piskorz, AM, Gentry-Maharaj, A, Karpinskyj, C, Widschwendter, M, Singh, N, Kennedy, CJ, Sharma, R, Harnett, PR, Gao, B, Johnatty, SE, Sayer, R, Boros, J, Winham, SJ, Keeney, GL, Kaufmann, SH, Larson, MC, Luk, H, Hernandez, BY, Thompson, PJ, Wilkens, LR, Carney, ME, Trabert, B, Lissowska, J, Brinton, L, Sherman, ME, Bodelon, C, Hinsley, S, Lewsley, LA, Glasspool, R, Banerjee, SN, Stronach, EA, Haluska, P, Ray-Coquard, I, Mahner, S, Winterhoff, B, Slamon, D, Levine, DA, Kelemen, LE, Benitez, J, Chang-Claude, J, Gronwald, J, Wu, AH, Menon, U, Goodman, MT, Schildkraut, JM, Wentzensen, N, Brown, R, Berchuck, A, Chenevix-Trench, G, DeFazio, A, Gayther, SA, García, MJ, Henderson, MJ, Rossing, MA, Beeghly-Fadiel, A, Fasching, PA, Orsulic, S, Karlan, BY, Konecny, GE, Huntsman, DG, Bowtell, DD, Brenton, JD, Doherty, JA, Pharoah, PDP, and Ramus, SJ

Subjects
Ovarian Neoplasms, high-grade serous ovarian cancer, overall survival, gene expression, Humans, Female, prognosis, formalin-fixed paraffin-embedded, Transcriptome, Survival Analysis, 3. Good health, Cystadenocarcinoma, Serous, Proportional Hazards Models
Abstract

BACKGROUND: Median overall survival (OS) for women with high-grade serous ovarian cancer (HGSOC) is ∼4 years, yet survival varies widely between patients. There are no well-established, gene expression signatures associated with prognosis. The aim of this study was to develop a robust prognostic signature for OS in patients with HGSOC. PATIENTS AND METHODS: Expression of 513 genes, selected from a meta-analysis of 1455 tumours and other candidates, was measured using NanoString technology from formalin-fixed paraffin-embedded tumour tissue collected from 3769 women with HGSOC from multiple studies. Elastic net regularization for survival analysis was applied to develop a prognostic model for 5-year OS, trained on 2702 tumours from 15 studies and evaluated on an independent set of 1067 tumours from six studies. RESULTS: Expression levels of 276 genes were associated with OS (false discovery rate < 0.05) in covariate-adjusted single-gene analyses. The top five genes were TAP1, ZFHX4, CXCL9, FBN1 and PTGER3 (P < 0.001). The best performing prognostic signature included 101 genes enriched in pathways with treatment implications. Each gain of one standard deviation in the gene expression score conferred a greater than twofold increase in risk of death [hazard ratio (HR) 2.35, 95% confidence interval (CI) 2.02-2.71; P < 0.001]. Median survival [HR (95% CI)] by gene expression score quintile was 9.5 (8.3 to -), 5.4 (4.6-7.0), 3.8 (3.3-4.6), 3.2 (2.9-3.7) and 2.3 (2.1-2.6) years. CONCLUSION: The OTTA-SPOT (Ovarian Tumor Tissue Analysis consortium - Stratified Prognosis of Ovarian Tumours) gene expression signature may improve risk stratification in clinical trials by identifying patients who are least likely to achieve 5-year survival. The identified novel genes associated with the outcome may also yield opportunities for the development of targeted therapeutic approaches.

Catalog

Books, media, physical & digital resources
See catalog results