Literature DB >> 29366844

Multigene Signature Panels and Breast Cancer Therapy: Patterns of Use and Impact on Clinical Decision Making.

Neal Bhutiani1, Michael E Egger1, Nicolás Ajkay1, Charles R Scoggins1, Robert Cg Martin1, Kelly M McMasters2.   

Abstract

BACKGROUND: A growing body of evidence supports the use of multigene signature panels (MSPs) in predicting recurrence risk in patients with invasive breast cancer. This study aimed to evaluate trends in MSP use over time and the effect of MSPs on administration of postoperative chemotherapy. STUDY
DESIGN: The National Cancer Database was queried for all women with invasive breast cancer who underwent resection between 2011 and 2014 and had information about performance of an MSP, hormone receptor status, and receipt of chemotherapy. Multigene signature panel use over time was evaluated, and patterns of use of Oncotype DX (ODX) and MammaPrint (MP) were compared.
RESULTS: In a total of 476,128 patients, an MSP was obtained in 153,782 (30.2%). Multigene signature panel use increased over time and was associated with a decreased rate of chemotherapy administration (24.6% MSP vs 37.2% no MSP; p < 0.001). Oncotype DX remained the most common MSP used throughout the study period. Oncotype DX was used more commonly in stage I disease than MP, and MP was used more commonly in stage II and III disease. MammaPrint was more commonly used in hormone receptor-negative patients, human epidermal growth factor receptor 2-positive patients, and patients with positive lymph nodes. Postoperative chemotherapy was administered to a higher proportion of patients assessed with MP than with ODX (41.3% vs 23.4%, respectively; p < 0.001).
CONCLUSIONS: Use of MSPs among patients with breast cancer has increased over time and is associated with a decreased use of adjuvant chemotherapy. Oncotype DX continues to be the most widely used MSP, although MP use has increased over time. Future studies are warranted to determine the optimal use of these MSPs in risk assessment and postoperative decision making.
Copyright © 2018 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 29366844     DOI: 10.1016/j.jamcollsurg.2017.12.043

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  16 in total

1.  BRMS1 expression in resected lung adenocarcinoma.

Authors:  Domenico Galetta; Pamela Pizzutilo; Vito Longo
Journal:  Transl Lung Cancer Res       Date:  2018-12

2.  21-Gene Recurrence Score Adds Significant Value for Grade 3 Breast Cancers: Results From a National Cohort.

Authors:  Elizabeth A Mittendorf; Jane E Brock; J Bryan Iorgulescu; Rachel A Freedman; Susan C Lester
Journal:  JCO Precis Oncol       Date:  2019-08-14

3.  PROGNOSTIC VALUE OF TOPOISOMERASE 2-ALPHA AND B-MYB IN EARLY BREAST CANCER TREATED WITH ADJUVANT CHEMOTHERAPY.

Authors:  Ljubica Radmilović Varga; Natalija Dedić Plavetić; Paula Podolski; Davor Mijatović; Ana Kulić; Damir Vrbanec
Journal:  Acta Clin Croat       Date:  2021-03       Impact factor: 0.780

4.  Concordance between results of inexpensive statistical models and multigene signatures in patients with ER+/HER2- early breast cancer.

Authors:  Patrick Neven; Giuseppe Floris; Laurence Slembrouck; Isabelle Vanden Bempt; Hans Wildiers; Ann Smeets; Anne-Sophie Van Rompuy; Chantal Van Ongeval; Lynn Jongen; Caroline Weltens; Kevin Punie; Griet Hoste; Els Van Nieuwenhuysen; Sileny Han; Ines Nevelsteen
Journal:  Mod Pathol       Date:  2021-02-08       Impact factor: 7.842

5.  Identification of a Six-Gene Signature for Predicting the Overall Survival of Cervical Cancer Patients.

Authors:  Xiao Huo; Xiaoshuang Zhou; Peng Peng; Mei Yu; Ying Zhang; Jiaxin Yang; Dongyan Cao; Hengzi Sun; Keng Shen
Journal:  Onco Targets Ther       Date:  2021-02-05       Impact factor: 4.147

6.  Identification of 6 gene markers for survival prediction in osteosarcoma cases based on multi-omics analysis.

Authors:  Runmin Li; Guosheng Wang; ZhouJie Wu; HuaGuang Lu; Gen Li; Qi Sun; Ming Cai
Journal:  Exp Biol Med (Maywood)       Date:  2021-02-09

7.  Identification of an eight-gene signature for survival prediction for patients with hepatocellular carcinoma based on integrated bioinformatics analysis.

Authors:  Guo-Jie Qiao; Liang Chen; Jin-Cai Wu; Zhou-Ri Li
Journal:  PeerJ       Date:  2019-03-20       Impact factor: 2.984

Review 8.  Multigene expression signatures in early hormone receptor positive HER 2 negative breast cancer.

Authors:  Tanja Ovcaricek; Iztok Takac; Erika Matos
Journal:  Radiol Oncol       Date:  2019-09-24       Impact factor: 2.991

9.  Trend and survival benefit of Oncotype DX use among female hormone receptor-positive breast cancer patients in 17 SEER registries, 2004-2015.

Authors:  Lu Zhang; Mei-Chin Hsieh; Valentina Petkov; Qingzhao Yu; Yu-Wen Chiu; Xiao-Cheng Wu
Journal:  Breast Cancer Res Treat       Date:  2020-02-14       Impact factor: 4.872

10.  A robust twelve-gene signature for prognosis prediction of hepatocellular carcinoma.

Authors:  Guoqing Ouyang; Bin Yi; Guangdong Pan; Xiang Chen
Journal:  Cancer Cell Int       Date:  2020-06-03       Impact factor: 5.722

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.