Literature DB >> 29237009

Recent Trends in Chemotherapy Use and Oncologists' Treatment Recommendations for Early-Stage Breast Cancer.

Allison W Kurian1, Irina Bondarenko2, Reshma Jagsi3, Christopher R Friese4, M Chandler McLeod2, Sarah T Hawley5,6,7, Ann S Hamilton8, Kevin C Ward9, Timothy P Hofer10, Steven J Katz5,6.   

Abstract

Background: There is growing concern about overtreatment of breast cancer as outcomes have improved over time. However, little is known about how chemotherapy use and oncologists' recommendations have changed in recent years.
Methods: We surveyed 5080 women (70% response rate) diagnosed with breast cancer between 2013 and 2015 and accrued through two Surveillance, Epidemiology, and End Results registries (Georgia and Los Angeles) about chemotherapy receipt and their oncologists' chemotherapy recommendations. We surveyed 504 attending oncologists (60.3% response rate ) about chemotherapy recommendations in node-negative and node-positive case scenarios. We conducted descriptive statistics of chemotherapy use and patients' report of oncologists' recommendations and used a generalized linear mixed model of chemotherapy use according to time and clinical factors. All statistical tests were two-sided.
Results: The analytic sample was 2926 patients with stage I-II, estrogen receptor-positive, human epidermal growth factor receptor 2-negative breast cancer. From 2013 to 2015, keeping other factors constant, chemotherapy use was estimated to decline from 34.5% (95% confidence interval [CI] = 30.8% to 38.3%) to 21.3% (95% CI = 19.0% to 23.7%, P < .001). Estimated decline in chemotherapy use was from 26.6% (95% CI = 23.0% to 30.7%) to 14.1% (95% CI = 12.0% to 16.3%) for node-negative/micrometastasis patients and from 81.1% (95% CI = 76.6% to 85.0%) to 64.2% (95% CI = 58.6% to 69.6%) for node-positive patients. Use of the 21-gene recurrence score (RS) did not change among node-negative/micrometastasis patients, and increasing RS use in node-positive patients accounted for one-third of the chemotherapy decline. Patients' report of oncologists' recommendations for chemotherapy declined from 44.9% (95% CI = 40.2% to 49.7%) to 31.6% (95% CI = 25.9% to 37.9%), controlling for other factors. Oncologists were much more likely to order RS if patient preferences were discordant with their recommendations (67.4%, 95% CI = 61.7% to 73.0%, vs 17.5%, 95% CI = 13.1% to 22.0%, concordant), and they adjusted recommendations based on patient preferences and RS results. Conclusions: For both node-negative/micrometastasis and node-positive patients, chemotherapy receipt and oncologists' recommendations for chemotherapy declined markedly over time, without substantial change in practice guidelines. Results of ongoing trials will be essential to confirm the quality of this approach to breast cancer care.

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Year:  2018        PMID: 29237009      PMCID: PMC5946952          DOI: 10.1093/jnci/djx239

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  28 in total

1.  Assessment of risks by predicting counterfactuals.

Authors:  G Y Zou
Journal:  Stat Med       Date:  2009-12-30       Impact factor: 2.373

2.  Initial Trends in the Use of the 21-Gene Recurrence Score Assay for Patients With Breast Cancer in the Medicare Population, 2005-2009.

Authors:  Michaela A Dinan; Xiaojuan Mi; Shelby D Reed; Bradford R Hirsch; Gary H Lyman; Lesley H Curtis
Journal:  JAMA Oncol       Date:  2015-05       Impact factor: 31.777

3.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

4.  Chemotherapy use for hormone receptor-positive, lymph node-negative breast cancer.

Authors:  Michael J Hassett; Melissa E Hughes; Joyce C Niland; Stephen B Edge; Richard L Theriault; Yu-Ning Wong; John Wilson; W Bradford Carter; Douglas W Blayney; Jane C Weeks
Journal:  J Clin Oncol       Date:  2008-10-27       Impact factor: 44.544

Review 5.  Integrating comparative effectiveness design elements and endpoints into a phase III, randomized clinical trial (SWOG S1007) evaluating oncotypeDX-guided management for women with breast cancer involving lymph nodes.

Authors:  Scott D Ramsey; William E Barlow; Ana M Gonzalez-Angulo; Sean Tunis; Laurence Baker; John Crowley; Patricia Deverka; David Veenstra; Gabriel N Hortobagyi
Journal:  Contemp Clin Trials       Date:  2012-09-18       Impact factor: 2.226

6.  Adoption of gene expression profile testing and association with use of chemotherapy among women with breast cancer.

Authors:  Michael J Hassett; Samuel M Silver; Melissa E Hughes; Douglas W Blayney; Stephen B Edge; James G Herman; Clifford A Hudis; P Kelly Marcom; Jane E Pettinga; David Share; Richard Theriault; Yu-Ning Wong; Jonathan L Vandergrift; Joyce C Niland; Jane C Weeks
Journal:  J Clin Oncol       Date:  2012-05-14       Impact factor: 44.544

7.  Genetic Testing and Counseling Among Patients With Newly Diagnosed Breast Cancer .

Authors:  Allison W Kurian; Kent A Griffith; Ann S Hamilton; Kevin C Ward; Monica Morrow; Steven J Katz; Reshma Jagsi
Journal:  JAMA       Date:  2017-02-07       Impact factor: 157.335

8.  Chemotherapy decisions and patient experience with the recurrence score assay for early-stage breast cancer.

Authors:  Christopher R Friese; Yun Li; Irina Bondarenko; Timothy P Hofer; Kevin C Ward; Ann S Hamilton; Dennis Deapen; Allison W Kurian; Steven J Katz
Journal:  Cancer       Date:  2016-10-24       Impact factor: 6.921

9.  21-Gene recurrence score decreases receipt of chemotherapy in ER+ early-stage breast cancer: an analysis of the NCDB 2010-2013.

Authors:  Benjamin M Parsons; Jeffrey Landercasper; Angela L Smith; Ronald S Go; Andrew J Borgert; Leah L Dietrich
Journal:  Breast Cancer Res Treat       Date:  2016-08-09       Impact factor: 4.872

10.  Use of Gene Expression Profiling and Chemotherapy in Early-Stage Breast Cancer: A Study of Linked Electronic Medical Records, Cancer Registry Data, and Genomic Data Across Two Health Care Systems.

Authors:  Anosheh Afghahi; Maya Mathur; Caroline A Thompson; Aya Mitani; Joseph Rigdon; Manisha Desai; Peter P Yu; Monique A de Bruin; Tina Seto; Cliff Olson; Pragati Kenkare; Scarlett L Gomez; Amar K Das; Harold S Luft; George W Sledge; Amy P Sing; Allison W Kurian
Journal:  J Oncol Pract       Date:  2016-05-24       Impact factor: 3.714

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  24 in total

1.  Can precision medicine help achieve the goal of reducing care when the risks exceed the benefits?

Authors:  Kathryn A Phillips; Deborah A Marshall; Allison W Kurian
Journal:  Per Med       Date:  2019-09-25       Impact factor: 2.512

2.  Breast Cancers of Special Histologic Subtypes Are Biologically Diverse.

Authors:  Audree B Tadros; Hannah Y Wen; Monica Morrow
Journal:  Ann Surg Oncol       Date:  2018-08-09       Impact factor: 5.344

3.  Racial/ethnic differences in the utilization of chemotherapy among stage I-III breast cancer patients, stratified by subtype: Findings from ten National Program of Cancer Registries states.

Authors:  Lu Zhang; Jessica King; Xiao-Cheng Wu; Mei-Chin Hsieh; Vivien W Chen; Qingzhao Yu; Elizabeth Fontham; Michelle Loch; Lori A Pollack; Tekeda Ferguson
Journal:  Cancer Epidemiol       Date:  2018-11-08       Impact factor: 2.984

4.  Uptake, Results, and Outcomes of Germline Multiple-Gene Sequencing After Diagnosis of Breast Cancer.

Authors:  Allison W Kurian; Kevin C Ward; Ann S Hamilton; Dennis M Deapen; Paul Abrahamse; Irina Bondarenko; Yun Li; Sarah T Hawley; Monica Morrow; Reshma Jagsi; Steven J Katz
Journal:  JAMA Oncol       Date:  2018-08-01       Impact factor: 31.777

5.  Association of Attending Surgeon With Variation in the Receipt of Genetic Testing After Diagnosis of Breast Cancer.

Authors:  Steven J Katz; Irina Bondarenko; Kevin C Ward; Ann S Hamilton; Monica Morrow; Allison W Kurian; Timothy P Hofer
Journal:  JAMA Surg       Date:  2018-10-01       Impact factor: 14.766

6.  Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Matthew P Goetz; John A Olson; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter M Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; Jeffrey L Berenberg; Jeffrey Abrams; George W Sledge
Journal:  N Engl J Med       Date:  2018-06-03       Impact factor: 91.245

7.  Lymph Node Status in Breast Cancer Does Not Predict Tumor Biology.

Authors:  Danielle M Bello; Christy Russell; Debbie McCullough; Marni Tierno; Monica Morrow
Journal:  Ann Surg Oncol       Date:  2018-07-02       Impact factor: 5.344

8.  Adjuvant Chemotherapy for Low-Clinical-Risk Breast Cancer Defined by Modified Version of Adjuvant! Online: A Propensity Score Matched SEER Analysis.

Authors:  Jiefeng Huang; Zhiyong Wu; Zechun Zhang; Jie Li; Yunhai Li; Guosheng Ren
Journal:  Breast Care (Basel)       Date:  2020-05-27       Impact factor: 2.860

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.  Gene Expression Profiling Tests for Early-Stage Invasive Breast Cancer: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-03-06
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