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4 results on '"Haluska P"'

1. 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
Ovarian Neoplasms, screening and diagnosis, overall survival, Oncology and Carcinogenesis, Cystadenocarcinoma, Serous, AOCS Group, formalin-fixed paraffin-embedded, Prognosis, Survival Analysis, Ovarian Cancer, Detection, Rare Diseases, high-grade serous ovarian cancer, gene expression, Genetics, Humans, Female, Genetic Testing, 4.4 Population screening, Oncology & Carcinogenesis, Transcriptome, Proportional Hazards Models, Cancer, 4.2 Evaluation of markers and technologies
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

2. Immune-induced epithelial to mesenchymal transition in vivo generates breast cancer stem cells

Author

Santisteban, M. (Marta), Reiman, J.M. (Jennifer M.), Asiedu, M.K. (Michael K.), Behrens, M.D. (Marshall D.), Nassar, A. (Aziza), Kalli, K.R. (Kimberly R.), Haluska, P. (Paul), Ingle, J.N. (James N.), Hartmann, L.C. (Lynn C.), Manjili, M.H. (Masoud H.), Radisky, D.C. (Derek C.), Ferrone, S. (Soldano), and Knutson, K.L. (Keith L.)

Subjects
Mammary neoplasms, Antigens, CD24, Epithelial cells, Antigens, CD44
Abstract

The breast cancer stem cell (BCSC) hypotheses suggest that breast cancer is derived from a single tumor-initiating cell with stem-like properties, but the source of these cells is unclear. We previously observed that induction of an immune response against an epithelial breast cancer led in vivo to the T-cell-dependent outgrowth of a tumor, the cells of which had undergone epithelial to mesenchymal transition (EMT). The resulting mesenchymal tumor cells had a CD24(-/lo)CD44(+) phenotype, consistent with BCSCs. In the present study, we found that EMT was induced by CD8 T cells and the resulting tumors had characteristics of BCSCs, including potent tumorigenicity, ability to reestablish an epithelial tumor, and enhanced resistance to drugs and radiation. In contrast to the hierarchal cancer stem cell hypothesis, which suggests that breast cancer arises from the transformation of a resident tissue stem cell, our results show that EMT can produce the BCSC phenotype. These findings have several important implications related to disease progression and relapse.

Published
2009

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.

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