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Your search keyword '"Van Nieuwenhuysen, E."' showing total 10 results
Start Over Author "Van Nieuwenhuysen, E." Topic ovarian cancer
10 results on '"Van Nieuwenhuysen, E."'

1. PARP inhibitor predictive value of the Leuven HRD test compared with Myriad MyChoice CDx PLUS HRD on 468 ovarian cancer patients from the PAOLA-1/ENGOT-ov25 trial

Author

Loverix L., Vergote I., Busschaert P., Vanderstichele A., Venken T., Boeckx B., Harter P., Brems H., Van Nieuwenhuysen E., Pignata S., Baert T., Gonzalez-Martin A., Han S., Marth C., Neven P., Colombo N., Berteloot P., Mäenpää J., Olbrecht S., Laga T., Sablon E., Ray-Coquard I., Pujade-Lauraine E., Lambrechts D., Van Gorp T., Loverix, L, Vergote, I, Busschaert, P, Vanderstichele, A, Venken, T, Boeckx, B, Harter, P, Brems, H, Van Nieuwenhuysen, E, Pignata, S, Baert, T, Gonzalez-Martin, A, Han, S, Marth, C, Neven, P, Colombo, N, Berteloot, P, Mäenpää, J, Olbrecht, S, Laga, T, Sablon, E, Ray-Coquard, I, Pujade-Lauraine, E, Lambrechts, D, and Van Gorp, T

Subjects
Targeted therapy, Cancer Research, PARP inhibitor, Oncology, Ovarian cancer, HRD testing, Leuven HRD test
Abstract

Background: The PAOLA-1/ENGOT-ov25 trial showed improved progression-free (PFS) and overall survival (OS) in homologous recombination deficient (HRD) positive patients treated with olaparib, but not when HRD negative (HRD tested with MyChoice CDx PLUS [Myriad test]). Patients and methods: The academic Leuven HRD test consists of capture-based targeted sequencing of genome-wide single-nucleotide polymorphisms and coding exons of eight HR genes including BRCA1, BRCA2, and TP53. We compared the predictive value of the Leuven HRD versus Myriad HRD test for PFS and OS in the randomised PAOLA-1 trial. Results: 468 patients had left-over DNA after Myriad testing for Leuven HRD testing. Positive/negative/overall percent agreement for the Leuven versus Myriad HRD status was 95%/86%/91%, respectively. Tumours were HRD+ in 55% and 52%, respectively. In Leuven HRD+ patients, 5 years PFS (5yPFS) was 48.6% versus 20.3% (HR 0.431; 95% confidence intervals (CI) 0.312–0.595) for olaparib versus placebo, respectively (Myriad test 0.409; 95% CI 0.292–0.572). In Leuven HRD+/BRCAwt patients 5yPFS was 41.3% versus 12.6% (HR 0.497; 95% CI 0.316–0.783), and 43.6% versus 13.3% (HR 0.435; 95% CI 0.261–0.727) for the Myriad test. 5yOS was prolonged in the HRD+ subgroup with both tests 67.2% versus 54.4% (HR 0.663; 95% CI 0.442–0.995) for the Leuven test, and 68.0% versus 51.8% (HR 0.596 95% CI 0.393–0.904) for the Myriad test. HRD status was undetermined in 10.7% and 9.4% of the samples, respectively. Conclusions: A robust correlation between the Leuven HRD and Myriad test was observed. For HRD+ tumours, the academic Leuven HRD showed a similar difference in PFS and OS as the Myriad test.

Published
2023

2. Obesity and survival among women with ovarian cancer: results from the Ovarian Cancer Association Consortium

Author

Nagle, CM, Dixon, SC, Jensen, A, Kjaer, SK, Modugno, F, deFazio, A, Fereday, S, Hung, J, Johnatty, SE, Fasching, PA, Beckmann, MW, Lambrechts, D, Vergote, I, Van Nieuwenhuysen, E, Lambrechts, S, Risch, HA, Rossing, MA, Doherty, JA, Wicklund, KG, Chang-Claude, J, Goodman, MT, Ness, RB, Moysich, K, Heitz, F, du Bois, A, Harter, P, Schwaab, I, Matsuo, K, Hosono, S, Goode, EL, Vierkant, RA, Larson, MC, Fridley, BL, Høgdall, C, Schildkraut, JM, Weber, RP, Cramer, DW, Terry, KL, Bandera, EV, Paddock, L, Rodriguez-Rodriguez, L, Wentzensen, N, Yang, HP, Brinton, LA, Lissowska, J, Høgdall, E, Lundvall, L, Whittemore, A, McGuire, V, Sieh, W, Rothstein, J, Sutphen, R, Anton-Culver, H, Ziogas, A, Pearce, CL, Wu, AH, and Webb, PM

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Nutrition, Ovarian Cancer, Obesity, Rare Diseases, Cancer, Body Mass Index, Carcinoma, Ovarian Epithelial, Disease-Free Survival, Female, Humans, Kaplan-Meier Estimate, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, ovarian cancer, obesity, overall survival, progression-free survival, ovarian cancer-specific survival, Australian Ovarian Cancer Study Group, Ovarian Cancer Association Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundObservational studies have reported a modest association between obesity and risk of ovarian cancer; however, whether it is also associated with survival and whether this association varies for the different histologic subtypes are not clear. We undertook an international collaborative analysis to assess the association between body mass index (BMI), assessed shortly before diagnosis, progression-free survival (PFS), ovarian cancer-specific survival and overall survival (OS) among women with invasive ovarian cancer.MethodsWe used original data from 21 studies, which included 12 390 women with ovarian carcinoma. We combined study-specific adjusted hazard ratios (HRs) using random-effects models to estimate pooled HRs (pHR). We further explored associations by histologic subtype.ResultsOverall, 6715 (54%) deaths occurred during follow-up. A significant OS disadvantage was observed for women who were obese (BMI: 30-34.9, pHR: 1.10 (95% confidence intervals (CIs): 0.99-1.23); BMI: ⩾35, pHR: 1.12 (95% CI: 1.01-1.25)). Results were similar for PFS and ovarian cancer-specific survival. In analyses stratified by histologic subtype, associations were strongest for women with low-grade serous (pHR: 1.12 per 5 kg m(-2)) and endometrioid subtypes (pHR: 1.08 per 5 kg m(-2)), and more modest for the high-grade serous (pHR: 1.04 per 5 kg m(-2)) subtype, but only the association with high-grade serous cancers was significant.ConclusionsHigher BMI is associated with adverse survival among the majority of women with ovarian cancer.

Published
2015

3. 523MO Ubamatamab (REGN4018, MUC16xCD3 bispecific antibody) monotherapy in patients with recurrent ovarian cancer (OC): Phase I dose-escalation analysis.

Author

Van Nieuwenhuysen, E., O'Malley, D., O'Cearbhaill, R.E., Moore, K.N., Hamilton, E.P., Yeku, O., Bouberhan, S., Hou, J.Y., Yoo, S-Y., Brouwer-Visser, J., Cheung, H.K., Peterman, M., Goncalves, P., Schmidt, T., Zhu, M., Lowy, I., Rowlands, T., Uldrick, T.S., Miller, E.A., and Liu, J.F.

Subjects
*BISPECIFIC antibodies, *OVARIAN cancer
Published
2022
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4. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk

Author

Kar, S. P., Tyrer, J. P., Li, Qiyuan, Lawrenson, K., Aben, K. K. H., Anton-Culver, H., Antonenkova, N., Chenevix-Trench, G., Baker, H., Bandera, E. V., Bean, Y. T., Beckmann, M. W., Berchuck, A., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L., Brooks-Wilson, A., Butzow, R., Campbell, I., Carty, K., Chang-Claude, J., Chen, Y. A., Chen, Z., Cook, L. S., Cramer, Daniel William, Cunningham, J. M., Cybulski, C., Dansonka-Mieszkowska, A., Dennis, J., Dicks, E., Doherty, J. A., Dork, T., du Bois, A., Durst, M., Eccles, D., Easton, D. F., Edwards, R. P., Ekici, A. B., Fasching, P. A., Fridley, B. L., Gao, Y.-T., Gentry-Maharaj, A., Giles, G. G., Glasspool, R., Goode, E. L., Goodman, M. T., Grownwald, J., Harrington, P., Harter, P., Hein, A., Heitz, F., Hildebrandt, M. A. T., Hillemanns, P., Hogdall, E., Hogdall, C. K., Hosono, S., Iversen, E. S., Jakubowska, A., Paul, J., Jensen, A., Ji, B.-T., Karlan, B. Y., Kjaer, S. K., Kelemen, L. E., Kellar, M., Kelley, J., Kiemeney, L. A., Krakstad, C., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N. D., Lee, A. W., Lele, S., Leminen, A., Lester, J., Levine, D. A., Liang, D., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L., Matsuo, K., McGuire, V., McLaughlin, J. R., McNeish, I. A., Menon, U., Modugno, F., Moysich, K. B., Narod, S. A., Nedergaard, L., Ness, R. B., Nevanlinna, H., Odunsi, K., Olson, S. H., Orlow, I., Orsulic, S., Weber, R. P., Pearce, C. L., Pejovic, T., Pelttari, L. M., Permuth-Wey, J., Phelan, C. M., Pike, M. C., Poole, Elizabeth M., Ramus, S. J., Risch, H. A., Rosen, B., Rossing, M. A., Rothstein, J. H., Rudolph, A., Runnebaum, I. B., Rzepecka, I. K., Salvesen, H. B., Schildkraut, J. M., Schwaab, I., Shu, X.-O., Shvetsov, Y. B., Siddiqui, N., Sieh, W., Song, H., Southey, M. C., Sucheston-Campbell, L. E., Tangen, I. L., Teo, S.-H., Terry, Kathryn Lynne, Thompson, P. J., Timorek, A., Tsai, Y.-Y., Tworoger, Shelley Slate, van Altena, A. M., Van Nieuwenhuysen, E., Vergote, I., Vierkant, R. A., Wang-Gohrke, S., Walsh, C., Wentzensen, N., Whittemore, A. S., Wicklund, K. G., Wilkens, L. R., Woo, Y.-L., Wu, X., Wu, A., Yang, H., Zheng, W., Ziogas, A., Sellers, T. A., Monteiro, A. N. A., Freedman, M. L., Gayther, S. A., and Pharoah, P. D. P.

Subjects
ovarian cancer, network analysis, GWAS, gene expression, transcription factors
Abstract

BACKGROUND: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations. METHODS: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). RESULTS: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. CONCLUSION: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. IMPACT: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization.

Published
2015
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5. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

Author

Phelan, CM, Kuchenbaecker, KB, Tyrer, JP, Kar, SP, Lawrenson, K, Winham, SJ, Dennis, J, Pirie, A, Riggan, MJ, Chornokur, G, Earp, MA, Lyra, PC, Lee, JM, Coetzee, S, Beesley, J, McGuffog, L, Soucy, P, Dicks, E, Lee, A, Barrowdale, D, Lecarpentier, J, Leslie, G, Aalfs, CM, Aben, KKH, Adams, M, Adlard, J, Andrulis, IL, Anton-Culver, H, Antonenkova, N, AOCS Study Group, Aravantinos, G, Arnold, N, Arun, BK, Arver, B, Azzollini, J, Balmaña, J, Banerjee, SN, Barjhoux, L, Barkardottir, RB, Bean, Y, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Birrer, MJ, Bjorge, L, Black, A, Blankstein, K, Blok, MJ, Bodelon, C, Bogdanova, N, Bojesen, A, Bonanni, B, Borg, Å, Bradbury, AR, Brenton, JD, Brewer, C, Brinton, L, Broberg, P, Brooks-Wilson, A, Bruinsma, F, Brunet, J, Buecher, B, Butzow, R, Buys, SS, Caldes, T, Caligo, MA, Campbell, I, Cannioto, R, Carney, ME, Cescon, T, Chan, SB, Chang-Claude, J, Chanock, S, Chen, XQ, Chiew, Y-E, Chiquette, J, Chung, WK, Claes, KBM, Conner, T, Cook, LS, Cook, J, Cramer, DW, Cunningham, JM, D'Aloisio, AA, Daly, MB, Damiola, F, Damirovna, SD, Dansonka-Mieszkowska, A, Dao, F, Davidson, R, DeFazio, A, Delnatte, C, Doheny, KF, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dorfling, CM, Dörk, T, Dossus, L, Duran, M, Dürst, M, Dworniczak, B, Eccles, D, Edwards, T, Eeles, R, Eilber, U, Ejlertsen, B, Ekici, AB, Ellis, S, Elvira, M, EMBRACE Study, Eng, KH, Engel, C, Evans, DG, Fasching, PA, Ferguson, S, Ferrer, SF, Flanagan, JM, Fogarty, ZC, Fortner, RT, Fostira, F, Foulkes, WD, Fountzilas, G, Fridley, BL, Friebel, TM, Friedman, E, Frost, D, Ganz, PA, Garber, J, García, MJ, Garcia-Barberan, V, Gehrig, A, GEMO Study Collaborators, Gentry-Maharaj, A, Gerdes, A-M, Giles, GG, Glasspool, R, Glendon, G, Godwin, AK, Goldgar, DE, Goranova, T, Gore, M, Greene, MH, Gronwald, J, Gruber, S, Hahnen, E, Haiman, CA, Håkansson, N, Hamann, U, Hansen, TVO, Harrington, PA, Harris, HR, Hauke, J, HEBON Study, Hein, A, Henderson, A, Hildebrandt, MAT, Hillemanns, P, Hodgson, S, Høgdall, CK, Høgdall, E, Hogervorst, FBL, Holland, H, Hooning, MJ, Hosking, K, Huang, R-Y, Hulick, PJ, Hung, J, Hunter, DJ, Huntsman, DG, Huzarski, T, Imyanitov, EN, Isaacs, C, Iversen, ES, Izatt, L, Izquierdo, A, Jakubowska, A, James, P, Janavicius, R, Jernetz, M, Jensen, A, Jensen, UB, John, EM, Johnatty, S, Jones, ME, Kannisto, P, Karlan, BY, Karnezis, A, Kast, K, KConFab Investigators, Kennedy, CJ, Khusnutdinova, E, Kiemeney, LA, Kiiski, JI, Kim, S-W, Kjaer, SK, Köbel, M, Kopperud, RK, Kruse, TA, Kupryjanczyk, J, Kwong, A, Laitman, Y, Lambrechts, D, Larrañaga, N, Larson, MC, Lazaro, C, Le, ND, Le Marchand, L, Lee, JW, Lele, SB, Leminen, A, Leroux, D, Lester, J, Lesueur, F, Levine, DA, Liang, D, Liebrich, C, Lilyquist, J, Lipworth, L, Lissowska, J, Lu, KH, Lubinński, J, Luccarini, C, Lundvall, L, Mai, PL, Mendoza-Fandiño, G, Manoukian, S, Massuger, LFAG, May, T, Mazoyer, S, McAlpine, JN, McGuire, V, McLaughlin, McNeish, I, Meijers-Heijboer, H, Meindl, A, Menon, U, Mensenkamp, AR, Merritt, MA, Milne, RL, Mitchell, G, Modugno, F, Moes-Sosnowska, J, Moffitt, M, Montagna, M, Moysich, KB, Mulligan, AM, Musinsky, J, Nathanson, KL, Nedergaard, L, Ness, RB, Neuhausen, SL, Nevanlinna, H, Niederacher, D, Nussbaum, RL, Odunsi, K, Olah, E, Olopade, OI, Olsson, H, Olswold, C, O'Malley, DM, Ong, K-R, Onland-Moret, NC, OPAL Study Group, Orr, N, Orsulic, S, Osorio, A, Palli, D, Papi, L, Park-Simon, T-W, Paul, J, Pearce, CL, Pedersen, IS, Peeters, PHM, Peissel, B, Peixoto, A, Pejovic, T, Pelttari, LM, Permuth, JB, Peterlongo, P, Pezzani, L, Pfeiler, G, Phillips, K-A, Piedmonte, M, Pike, MC, Piskorz, AM, Poblete, Pocza, T, Poole, EM, Poppe, B, Porteous, ME, Prieur, F, Prokofyeva, D, Pugh, E, Pujana, MA, Pujol, P, Radice, P, Rantala, J, Rappaport-Fuerhauser, C, Rennert, G, Rhiem, K, Rice, P, Richardson, A, Robson, M, Rodriguez, GC, Rodríguez-Antona, C, Romm, J, Rookus, MA, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Salvesen, HB, Sandler, DP, Schoemaker, MJ, Senter, L, Setiawan, VW, Severi, G, Sharma, P, Shelford, T, Siddiqui, N, Side, LE, Sieh, W, Singer, CF, Sobol, H, Song, H, Southey, MC, Spurdle, AB, Stadler, Z, Steinemann, D, Stoppa-Lyonnet, D, Sucheston-Campbell, LE, Sukiennicki, G, Sutphen, R, Sutter, C, Swerdlow, AJ, Szabo, CI, Szafron, L, Tan, YY, Taylor, JA, Tea, M-K, Teixeira, MR, Teo, S-H, Terry, KL, Thompson, PJ, Thomsen, LCV, Thull, DL, Tihomirova, L, Tinker, AV, Tischkowitz, M, Tognazzo, S, Toland, AE, Tone, A, Trabert, B, Travis, RC, Trichopoulou, A, Tung, N, Tworoger, SS, Van Altena, AM, Van Den Berg, D, Van Der Hout, AH, Van Der Luijt, RB, Van Heetvelde, M, Van Nieuwenhuysen, E, Van Rensburg, EJ, Vanderstichele, A, Varon-Mateeva, R, Vega, A, Edwards, DV, Vergote, I, Vierkant, RA, Vijai, J, Vratimos, A, Walker, L, Walsh, C, Wand, D, Wang-Gohrke, S, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, Whittemore, AS, Wijnen, JT, Wilkens, LR, Wolk, A, Woo, M, Wu, X, Wu, AH, Yang, H, Yannoukakos, D, Ziogas, A, Zorn, KK, Narod, SA, Easton, DF, Amos, CI, Schildkraut, JM, Ramus, SJ, Ottini, L, Goodman, MT, Park, SK, Kelemen, LE, Risch, HA, Thomassen, M, Offit, K, Simard, J, Schmutzler, RK, Hazelett, D, Monteiro, AN, Couch, FJ, Berchuck, A, Chenevix-Trench, G, Goode, EL, Sellers, TA, Gayther, SA, Antoniou, AC, and Pharoah, PDP

Subjects
ovarian cancer, endocrine system diseases, genome-wide association studies, epidemiology, female genital diseases and pregnancy complications, 3. Good health
Abstract

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 $\textit{BRCA1}$ and $\textit{BRCA2}$ mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

6. Ovarian cancer in children and adolescents: A rare disease that needs more attention.

Author

Baert, T., Storme, N., Van Nieuwenhuysen, E., Uyttebroeck, A., Van Damme, N., Vergote, I., and Coosemans, A.

Subjects
*OVARIAN cancer, *CHILDHOOD cancer, *DISEASES in teenagers, *RARE diseases, *ACQUISITION of data, *EPIDEMIOLOGY of cancer, *OVARIAN tumors, *SYMPTOMS
Abstract

Ovarian cancer is rare in childhood. This explains why there are only scattered reports on it in the literature and why there is a lack of specific pediatric treatment. This paper gives an overview of the Belgian data from 2004 to 2013 and reviews the literature. To index ovarian masses and malignancies in children better in the future, worldwide data collection should be improved and reproducible definitions of 'childhood', 'malignancy' and 'ovarian mass' need to be adopted. [ABSTRACT FROM AUTHOR]

Published
2016
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7. LBA41 Durvalumab (durva) plus carboplatin/paclitaxel (CP) followed by maintenance (mtx) durva ± olaparib (ola) as a first-line (1L) treatment for newly diagnosed advanced or recurrent endometrial cancer (EC): Results from the phase III DUO-E/GOG-3041/ENGOT-EN10 trial

Author

Westin, S.N., Moore, K.N., Chon, H.S., Lee, J-Y., Thomes Pepin, J., Sundborg, M., de la Garza, J., Nishio, S., Wang, K., Mcintyre, K., Tillmanns, T., Contreras Mejia, F., de Melo, A.C., Klasa-Mazurkiewicz, D., Papadimitriou, C.A., Gil Martín, M., Brasiuniene, B., Donnelly, C., Liu, X., and Van Nieuwenhuysen, E.

Subjects
*ENDOMETRIAL cancer, *OLAPARIB, *PACLITAXEL, *CARBOPLATIN, *DIAGNOSIS, *OVARIAN cancer
Published
2023
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8. 754P Ubamatamab (MUC16xCD3 bispecific antibody) with cemiplimab (anti-PD-1 antibody) in recurrent ovarian cancer: Phase I dose-escalation study.

Author

O'Cearbhaill, R.E., Moore, K.N., Yeku, O., Liu, J.F., Bouberhan, S., Hamilton, E.P., Hou, J.Y., Van Nieuwenhuysen, E., Papadimitriou, K., Yoo, S-Y., Govindraj, S., Brouwer-Visser, J., Peterman, M., Schmidt, T., Barnes, B., Madia, P., Zhu, M., Uldrick, T.S., Miller, E.A., and O'Malley, D.

Subjects
*BISPECIFIC antibodies, *CEMIPLIMAB, *OVARIAN cancer, *IMMUNOGLOBULINS
Published
2023
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9. Phase 2 study of the Exportin 1 inhibitor selinexor in patients with recurrent gynecological malignancies.

Author

Vergote, I.B., Lund, B., Peen, U., Umajuridze, Z., Mau-Sorensen, M., Kranich, A., Van Nieuwenhuysen, E., Haslund, C., Nottrup, T., Han, S.N., Concin, N., Unger, T.J., Chai, Y., Au, N., Rashal, T., Joshi, A., Crochiere, M., Landesman, Y., Shah, J., and Shacham, S.

Subjects
*ENDOMETRIAL cancer, *CERVICAL cancer, *OVARIAN cancer, *NUCLEAR proteins, *HEMATOLOGIC malignancies
Abstract

Selinexor is an oral inhibitor of the nuclear export protein Exportin 1 (XPO1) with demonstrated antitumor activity in solid and hematological malignancies. We evaluated the efficacy and safety of selinexor in heavily pretreated, recurrent gynecological malignancies. In this phase 2 trial, patients received selinexor (35 or 50 mg/m2 twice-weekly [BIW] or 50 mg/m2 once-weekly [QW]) in 4-week cycles. Primary endpoint was disease control rate (DCR) including complete response (CR), partial response (PR) or stable disease (SD) ≥12 weeks. Secondary endpoints were progression-free survival (PFS), overall survival (OS) and safety. 114 patients with ovarian (N = 66), endometrial (N = 23) or cervical (N = 25) cancer were enrolled. Median number of prior regimens for ovarian, endometrial and cervical cancer was 6 (1–11), 2 (1–5), and 3 (1–6) respectively. DCR was 30% (ovarian 30%; endometrial 35%; cervical 24%), which included confirmed PRs in 8%, 9%, and 4% of patients with ovarian, endometrial, and cervical cancer respectively. Median PFS and OS for patients with ovarian, endometrial and cervical cancer were 2.6, 2.8 and 1.4 months, and 7.3, 7.0, and 5.0 months, respectively. Common Grade 3/4 adverse events (AEs) were thrombocytopenia (17%), fatigue (14%), anemia (10%), nausea (9%) and hyponatremia (9%). Patients with ovarian cancer receiving 50 mg/m2 QW had fewer high-grade AEs with similar efficacy as BIW treatment. Selinexor demonstrated single-agent activity and disease control in patients with heavily pretreated ovarian and endometrial cancers. Side effects were a function of dose level and treatment frequency, similar to previous reports, reversible and mitigated with supportive care. • Selinexor, an oral XPO1 inhibitor, demonstrated single-agent activity in ovarian, endometrial, and cervical cancers. • Selinexor was safe and tolerable; side effects were predominantly grade 1/2. • Frequently reported grade 3/4 events were thrombocytopenia, fatigue, anemia, nausea, and hyponatremia. • These data support further development of selinexor in advanced gynecological malignancies. [ABSTRACT FROM AUTHOR]

Published
2020
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10. 817P Response to olaparib monotherapy in relapsed ovarian cancer by HRR gene mutational status and HRD scarring analysis: Results from the randomized phase II CLIO trial.

Author

Vanderstichele, A., Loverix, L., De Vogelaere, C., Heyrman, L., Van Gorp, T., Van Nieuwenhuysen, E., Han, S., Olbrecht, S.J.A.R., Berteloot, P., Neven, P., Schepers, R., Busschaert, P., Goossens, D., Lambrechts, D., and Vergote, I.B.

Subjects
*CANCER genes, *OVARIAN cancer, *OLAPARIB, *SCARS
Published
2020
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