Data from FGFR2c Mesenchymal Isoform Expression Is Associated with Poor Prognosis and Further Refines Risk Stratification within Endometrial Cancer Molecular Subtypes

Autor: Pamela M. Pollock, Jessica N. McAlpine, Elizabeth D. Williams, Aline Talhouk, Samuel C.Y. Leung, Deborah S. Smith, Cameron E. Snell, Ann-Marie Patch, Asmerom T. Sengal

Purpose:The two most common molecular subtypes of endometrial cancers, mismatch repair deficient (MMRd) and p53 wild-type (p53wt) comprise the majority of endometrial cancers and have intermediate prognoses where additional risk stratification biomar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::215a4f25c7659bf97ef0d0d793fd0242
https://doi.org/10.1158/1078-0432.c.6529806.v1

Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional study

Autor: Balazs Acs, Samuel C.Y. Leung, Kelley M. Kidwell, Indu Arun, Renaldas Augulis, Sunil S. Badve, Yalai Bai, Anita L. Bane, John M.S. Bartlett, Jane Bayani, Gilbert Bigras, Annika Blank, Henk Buikema, Martin C. Chang, Robin L. Dietz, Andrew Dodson, Susan Fineberg, Cornelia M. Focke, Dongxia Gao, Allen M. Gown, Carolina Gutierrez, Johan Hartman, Zuzana Kos, Anne-Vibeke Lænkholm, Arvydas Laurinavicius, Richard M. Levenson, Rustin Mahboubi-Ardakani, Mauro G. Mastropasqua, Sharon Nofech-Mozes, C. Kent Osborne, Frédérique M. Penault-Llorca, Tammy Piper, Mary Anne Quintayo, Tilman T. Rau, Stefan Reinhard, Stephanie Robertson, Roberto Salgado, Tomoharu Sugie, Bert van der Vegt, Giuseppe Viale, Lila A. Zabaglo, Daniel F. Hayes, Mitch Dowsett, Torsten O. Nielsen, David L. Rimm, Lisa M. McShane, Torsten Nielsen, Samuel Leung, Signe Borgquist, Angela Chan, Carsten Denkert, Anna Ehinger, Matthew Ellis, Margaret Flowers, Chad Galderisi, Abhi Gholap, Douglas J. Hartman, Judith C. Hugh, Anagha Jadhav, Elizabeth N. Kornaga, Hans Kreipe, Richard Levenson, Mauro Mastropasqua, Takuya Moriya, Hongchao Pan, Liron Pantanowitz, Ernesta Paola Neri, Mei-Yin Polley, Jason Ruan, Takashi Sakatani, Lois Shepherd, Ian Smith, Joseph Sparano, Melanie Spears, Malini Srinivasan, Jane Starczynski, Austin Todd, Shakeel Virk, Yihong Wang, Hua Yang, Zhiwei Zhang, Inti Zlobec

Publikováno v: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, vol 35, iss 10
Acs, Balazs; Leung, Samuel C Y; Kidwell, Kelley M; Arun, Indu; Augulis, Renaldas; Badve, Sunil S; Bai, Yalai; Bane, Anita L; Bartlett, John M S; Bayani, Jane; Bigras, Gilbert; Blank, Annika; Buikema, Henk; Chang, Martin C; Dietz, Robin L; Dodson, Andrew; Fineberg, Susan; Focke, Cornelia M; Gao, Dongxia; Gown, Allen M; ... (2022). Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional study. Modern pathology, 35(10), pp. 1362-1369. Springer Nature 10.1038/s41379-022-01104-9
Modern Pathology
Modern Pathology, 2022, 35 (10), pp.1362-1369. ⟨10.1038/s41379-022-01104-9⟩
Acs, B & on behalf of the International Ki67 in Breast Cancer Working Group of the Breast International Group and North American Breast Cancer Group (BIG-NABCG) 2022, ' Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer : a multi-operator and multi-institutional study ', Modern Pathology, vol. 35, no. 10, pp. 1362-1369 . https://doi.org/10.1038/s41379-022-01104-9
Modern pathology, London : Springer Science and Business Media LLC, 2022, vol. 35, p. 1362-1369
on behalf of the International Ki67 in Breast Cancer Working Group of the Breast International Group and North American Breast Cancer Group (BIG-NABCG) 2022, ' Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer : a multi-operator and multi-institutional study ', Modern Pathology, vol. 35, no. 10, pp. 1362-1369 . https://doi.org/10.1038/s41379-022-01104-9
Modern Pathology, Nature Publishing Group: Open Access Hybrid Model Option B, In press, ⟨10.1038/s41379-022-01104-9⟩
Modern Pathology. Nature Publishing Group

International audience; Abstract Ki67 has potential clinical importance in breast cancer but has yet to see broad acceptance due to inter-laboratory variability. Here we tested an open source and calibrated automated digital image analysis (DIA) plat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26bf7cdeab8408b5113eef8d7ac1df1e
https://escholarship.org/uc/item/8h49n0kx

A clinically applicable molecular-based classification for endometrial cancers

Autor: Anthony N. Karnezis, David G. Huntsman, Samuel C.Y. Leung, Aline Talhouk, H. H. Li-Chang, Janine Senz, Nataliya Melnyk, Janice S. Kwon, Niki Boyd, Jessica N. McAlpine, Melissa K. McConechy, C. B. Gilks, Winnie Yang

Publikováno v: British Journal of Cancer
British journal of cancer, vol 113, iss 2

Background: Classification of endometrial carcinomas (ECs) by morphologic features is inconsistent, and yields limited prognostic and predictive information. A new system for classification based on the molecular categories identified in The Cancer G

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c9a12abd34023bfb55b62800cb67cb
https://doi.org/10.1038/bjc.2015.190

Detection of DNA mismatch repair (MMR) deficiencies by immunohistochemistry can effectively diagnose the microsatellite instability (MSI) phenotype in endometrial carcinomas

Autor: Samuel C.Y. Leung, Aline Talhouk, David G. Huntsman, C. B. Gilks, Melissa K. McConechy, Jessica N. McAlpine, Hector Li-Chang

Publikováno v: Gynecologic oncology. 137(2)

A proportion of endometrial carcinomas (ECs) are associated with deficient DNA mismatch repair (MMR). These tumors are characterized by high levels of microsatellite instability (MSI). Identification of MSI is important in identifying women who shoul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41f8c1bc0c114855ddd566ed269711a9
https://pubmed.ncbi.nlm.nih.gov/25636458