Literature DB >> 31924700

Characteristics and Outcome of AKT1 E17K-Mutant Breast Cancer Defined through AACR Project GENIE, a Clinicogenomic Registry.

Lillian M Smyth1, Qin Zhou2, Bastien Nguyen2, Celeste Yu3, Eva M Lepisto4, Monica Arnedos5, Michael J Hasset4, Michele L Lenoue-Newton6, Natalie Blauvelt2, Semih Dogan5, Christine M Micheel6, Chetna Wathoo7, Hugo Horlings8, Jan Hudecek8, Benjamin E Gross2, Ritika Kundra2, Shawn M Sweeney9, JianJiong Gao2, Nikolaus Schultz2, Andrew Zarski2, Stuart M Gardos2, Jocelyn Lee9, Seth Sheffler-Collins9, Ben H Park6, Charles L Sawyers2, Fabrice André5, Mia Levy6, Funda Meric-Bernstam7, Philippe L Bedard3, Alexia Iasonos2, Deborah Schrag4, David M Hyman.   

Abstract

AKT inhibitors have promising activity in AKT1 E17K-mutant estrogen receptor (ER)-positive metastatic breast cancer, but the natural history of this rare genomic subtype remains unknown. Utilizing AACR Project GENIE, an international clinicogenomic data-sharing consortium, we conducted a comparative analysis of clinical outcomes of patients with matched AKT1 E17K-mutant (n = 153) and AKT1-wild-type (n = 302) metastatic breast cancer. AKT1-mutant cases had similar adjusted overall survival (OS) compared with AKT1-wild-type controls (median OS, 24.1 vs. 29.9, respectively; P = 0.98). AKT1-mutant cases enjoyed longer durations on mTOR inhibitor therapy, an observation previously unrecognized in pivotal clinical trials due to the rarity of this alteration. Other baseline clinicopathologic features, as well as durations on other classes of therapy, were broadly similar. In summary, we demonstrate the feasibility of using a novel and publicly accessible clincogenomic registry to define outcomes in a rare genomically defined cancer subtype, an approach with broad applicability to precision oncology. SIGNIFICANCE: We delineate the natural history of a rare genomically distinct cancer, AKT1 E17K-mutant ER-positive breast cancer, using a publicly accessible registry of real-world patient data, thereby illustrating the potential to inform drug registration through synthetic control data.See related commentary by Castellanos and Baxi, p. 490. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 31924700      PMCID: PMC7125034          DOI: 10.1158/2159-8290.CD-19-1209

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  18 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

Review 2.  Implementing Genome-Driven Oncology.

Authors:  David M Hyman; Barry S Taylor; José Baselga
Journal:  Cell       Date:  2017-02-09       Impact factor: 41.582

3.  Genomic Characterization of Primary Invasive Lobular Breast Cancer.

Authors:  Christine Desmedt; Gabriele Zoppoli; Gunes Gundem; Giancarlo Pruneri; Denis Larsimont; Marco Fornili; Debora Fumagalli; David Brown; Françoise Rothé; Delphine Vincent; Naima Kheddoumi; Ghizlane Rouas; Samira Majjaj; Sylvain Brohée; Peter Van Loo; Patrick Maisonneuve; Roberto Salgado; Thomas Van Brussel; Diether Lambrechts; Ron Bose; Otto Metzger; Christine Galant; François Bertucci; Martine Piccart-Gebhart; Giuseppe Viale; Elia Biganzoli; Peter J Campbell; Christos Sotiriou
Journal:  J Clin Oncol       Date:  2016-02-29       Impact factor: 44.544

4.  The REDCap consortium: Building an international community of software platform partners.

Authors:  Paul A Harris; Robert Taylor; Brenda L Minor; Veida Elliott; Michelle Fernandez; Lindsay O'Neal; Laura McLeod; Giovanni Delacqua; Francesco Delacqua; Jacqueline Kirby; Stephany N Duda
Journal:  J Biomed Inform       Date:  2019-05-09       Impact factor: 6.317

5.  Alpelisib for PIK3CA-Mutated, Hormone Receptor-Positive Advanced Breast Cancer.

Authors:  Fabrice André; Eva Ciruelos; Gabor Rubovszky; Mario Campone; Sibylle Loibl; Hope S Rugo; Hiroji Iwata; Pierfranco Conte; Ingrid A Mayer; Bella Kaufman; Toshinari Yamashita; Yen-Shen Lu; Kenichi Inoue; Masato Takahashi; Zsuzsanna Pápai; Anne-Sophie Longin; David Mills; Celine Wilke; Samit Hirawat; Dejan Juric
Journal:  N Engl J Med       Date:  2019-05-16       Impact factor: 91.245

6.  AACR Project GENIE: Powering Precision Medicine through an International Consortium.

Authors: 
Journal:  Cancer Discov       Date:  2017-06-01       Impact factor: 39.397

7.  The Genomic Landscape of Endocrine-Resistant Advanced Breast Cancers.

Authors:  Pedram Razavi; Matthew T Chang; Guotai Xu; Chaitanya Bandlamudi; Dara S Ross; Neil Vasan; Yanyan Cai; Craig M Bielski; Mark T A Donoghue; Philip Jonsson; Alexander Penson; Ronglai Shen; Fresia Pareja; Ritika Kundra; Sumit Middha; Michael L Cheng; Ahmet Zehir; Cyriac Kandoth; Ruchi Patel; Kety Huberman; Lillian M Smyth; Komal Jhaveri; Shanu Modi; Tiffany A Traina; Chau Dang; Wen Zhang; Britta Weigelt; Bob T Li; Marc Ladanyi; David M Hyman; Nikolaus Schultz; Mark E Robson; Clifford Hudis; Edi Brogi; Agnes Viale; Larry Norton; Maura N Dickler; Michael F Berger; Christine A Iacobuzio-Donahue; Sarat Chandarlapaty; Maurizio Scaltriti; Jorge S Reis-Filho; David B Solit; Barry S Taylor; José Baselga
Journal:  Cancer Cell       Date:  2018-09-10       Impact factor: 31.743

8.  Comprehensive molecular portraits of human breast tumours.

Authors: 
Journal:  Nature       Date:  2012-09-23       Impact factor: 49.962

9.  A transforming mutation in the pleckstrin homology domain of AKT1 in cancer.

Authors:  John D Carpten; Andrew L Faber; Candice Horn; Gregory P Donoho; Stephen L Briggs; Christiane M Robbins; Galen Hostetter; Sophie Boguslawski; Tracy Y Moses; Stephanie Savage; Mark Uhlik; Aimin Lin; Jian Du; Yue-Wei Qian; Douglas J Zeckner; Greg Tucker-Kellogg; Jeffrey Touchman; Ketan Patel; Spyro Mousses; Michael Bittner; Richard Schevitz; Mei-Huei T Lai; Kerry L Blanchard; James E Thomas
Journal:  Nature       Date:  2007-07-04       Impact factor: 69.504

10.  Mutational analysis of oncogenic AKT E17K mutation in common solid cancers and acute leukaemias.

Authors:  M S Kim; E G Jeong; N J Yoo; S H Lee
Journal:  Br J Cancer       Date:  2008-04-08       Impact factor: 7.640

View more
  11 in total

1.  Capivasertib, an AKT Kinase Inhibitor, as Monotherapy or in Combination with Fulvestrant in Patients with AKT1 E17K-Mutant, ER-Positive Metastatic Breast Cancer.

Authors:  Lillian M Smyth; Kenji Tamura; Mafalda Oliveira; Eva M Ciruelos; Ingrid A Mayer; Marie-Paule Sablin; Laura Biganzoli; Helen J Ambrose; Jack Ashton; Alan Barnicle; Des D Cashell; Claire Corcoran; Elza C de Bruin; Andrew Foxley; Joana Hauser; Justin P O Lindemann; Rhiannon Maudsley; Robert McEwen; Michele Moschetta; Martin Pass; Vicky Rowlands; Gaia Schiavon; Udai Banerji; Maurizio Scaltriti; Barry S Taylor; Sarat Chandarlapaty; José Baselga; David M Hyman
Journal:  Clin Cancer Res       Date:  2020-04-20       Impact factor: 12.531

2.  Integration of quantitative phosphoproteomics and transcriptomics revealed phosphorylation-mediated molecular events as useful tools for a potential patient stratification and personalized treatment of human nonfunctional pituitary adenomas.

Authors:  Dan Liu; Jiajia Li; Na Li; Miaolong Lu; Siqi Wen; Xianquan Zhan
Journal:  EPMA J       Date:  2020-08-13       Impact factor: 6.543

Review 3.  Understanding and overcoming tumor heterogeneity in metastatic breast cancer treatment.

Authors:  Nida Pasha; Nicholas C Turner
Journal:  Nat Cancer       Date:  2021-07-19

4.  Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells.

Authors:  Brent M Kuenzi; Jisoo Park; Samson H Fong; Kyle S Sanchez; John Lee; Jason F Kreisberg; Jianzhu Ma; Trey Ideker
Journal:  Cancer Cell       Date:  2020-10-22       Impact factor: 31.743

5.  Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer.

Authors:  Argun Akcakanat; Xiaofeng Zheng; Christian X Cruz Pico; Tae-Beom Kim; Ken Chen; Anil Korkut; Aysegul Sahin; Vijaykumar Holla; Emily Tarco; Gopal Singh; Senthil Damodaran; Gordon B Mills; Ana Maria Gonzalez-Angulo; Funda Meric-Bernstam
Journal:  Clin Cancer Res       Date:  2021-03-29       Impact factor: 12.531

Review 6.  The Future of Clinical Trial Design in Oncology.

Authors:  Anna Spreafico; Aaron R Hansen; Albiruni R Abdul Razak; Philippe L Bedard; Lillian L Siu
Journal:  Cancer Discov       Date:  2021-04       Impact factor: 38.272

7.  Comprehensive molecular profiling of Taiwanese breast cancers revealed potential therapeutic targets: prevalence of actionable mutations among 380 targeted sequencing analyses.

Authors:  Chi-Cheng Huang; Yi-Fang Tsai; Chun-Yu Liu; Ta-Chung Chao; Pei-Ju Lien; Yen-Shu Lin; Chin-Jung Feng; Jen-Hwey Chiu; Chih-Yi Hsu; Ling-Ming Tseng
Journal:  BMC Cancer       Date:  2021-02-25       Impact factor: 4.430

8.  Hotspot mutation profiles of AKT1 in Asian women with breast and endometrial cancers.

Authors:  Tatsunori Shimoi; Jun Hashimoto; Kazuki Sudo; Akihiko Shimomura; Emi Noguchi; Chikako Shimizu; Mayu Yunokawa; Kan Yonemori; Hiroshi Yoshida; Masayuki Yoshida; Tomoyasu Kato; Takayuki Kinoshita; Takahiro Fukuda; Yasuhiro Fujiwara; Kenji Tamura
Journal:  BMC Cancer       Date:  2021-10-21       Impact factor: 4.430

Review 9.  Discovery through clinical sequencing in oncology.

Authors:  Mark T A Donoghue; Alison M Schram; David M Hyman; Barry S Taylor
Journal:  Nat Cancer       Date:  2020-08-10

10.  Utility of Serial cfDNA NGS for Prospective Genomic Analysis of Patients on a Phase I Basket Study.

Authors:  Lillian M Smyth; Jonathan B Reichel; Jiabin Tang; Juber Ahamad A Patel; Fanli Meng; Duygu S Selcuklu; Brian Houck-Loomis; Daoqi You; Aliaksandra Samoila; Gaia Schiavon; Bob T Li; Pedram Razavi; Salvatore Piscuoglio; Jorge S Reis-Filho; Barry S Taylor; José Baselga; David B Solit; David M Hyman; Michael F Berger; Sarat Chandarlapaty
Journal:  JCO Precis Oncol       Date:  2021-01-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.