Angela Mariotto1, Jinani Jayasekerea2, Valentina Petkov1, Clyde B Schechter3, Lindsey Enewold1, Kathy J Helzlsouer1, Eric J Feuer1, Jeanne S Mandelblatt2. 1. Division of Cancer Control and Population Sciences at the National Cancer Institute, National Institutes of Health, Rockville, MD. 2. Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC. 3. Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Abstract
BACKGROUND: TAILORx demonstrated that women with node-negative, hormone receptor-positive, HER2-negative breast cancers and Oncotype DX recurrence scores (RS) of 0-25 had similar 9-year outcomes with endocrine vs chemo-endocrine therapy; evidence for women aged 50 years and younger and RS 16-25 was less clear. We estimated how expected changes in practice following the trial might affect US costs in the initial 12 months of care (initial costs). METHODS: Data from Surveillance, Epidemiology, and End Results (SEER), SEER-Medicare, and SEER-Genomic Health Inc datasets were used to estimate Oncotype DX testing and chemotherapy rates and mean initial costs pre- and post-TAILORx (in 2018 dollars), assuming all women received Oncotype DX testing and score-suggested therapy posttrial. Sensitivity analyses tested the impact on costs of assumptions about compliance with testing and score-suggested treatment and estimation methods. RESULTS: Pretrial mean initial costs were $2.816 billion. Posttrial, Oncotype DX testing costs were projected to increase from $115 to $231 million and chemotherapy use to decrease from 25% to 17%, resulting in initial care costs of $2.766 billion, or a net savings of $49 million (1.8% decrease). A small net savings was seen under most assumptions. The one exception was if all women aged 50 years and younger with tumors with RS 16-25 elected to receive chemotherapy, initial care costs could increase by $105 million (4% increase). CONCLUSIONS: Personalizing breast cancer treatment based on tumor genetic profiles could result in small cost decreases in the initial 12 months of care. Studies are needed to evaluate the long-term costs and nonmonetary benefits of personalized cancer care.
BACKGROUND: TAILORx demonstrated that women with node-negative, hormone receptor-positive, HER2-negative breast cancers and Oncotype DX recurrence scores (RS) of 0-25 had similar 9-year outcomes with endocrine vs chemo-endocrine therapy; evidence for women aged 50 years and younger and RS 16-25 was less clear. We estimated how expected changes in practice following the trial might affect US costs in the initial 12 months of care (initial costs). METHODS: Data from Surveillance, Epidemiology, and End Results (SEER), SEER-Medicare, and SEER-Genomic Health Inc datasets were used to estimate Oncotype DX testing and chemotherapy rates and mean initial costs pre- and post-TAILORx (in 2018 dollars), assuming all women received Oncotype DX testing and score-suggested therapy posttrial. Sensitivity analyses tested the impact on costs of assumptions about compliance with testing and score-suggested treatment and estimation methods. RESULTS: Pretrial mean initial costs were $2.816 billion. Posttrial, Oncotype DX testing costs were projected to increase from $115 to $231 million and chemotherapy use to decrease from 25% to 17%, resulting in initial care costs of $2.766 billion, or a net savings of $49 million (1.8% decrease). A small net savings was seen under most assumptions. The one exception was if all women aged 50 years and younger with tumors with RS 16-25 elected to receive chemotherapy, initial care costs could increase by $105 million (4% increase). CONCLUSIONS: Personalizing breast cancer treatment based on tumor genetic profiles could result in small cost decreases in the initial 12 months of care. Studies are needed to evaluate the long-term costs and nonmonetary benefits of personalized cancer care.
Authors: Jennifer E Joh; Nicole N Esposito; John V Kiluk; Christine Laronga; M Catherine Lee; Loretta Loftus; Hatem Soliman; Judy C Boughey; Carol Reynolds; Thomas J Lawton; Peter I Acs; Lucio Gordan; Geza Acs Journal: Oncologist Date: 2011-10-20
Authors: Jinani Jayasekera; Clyde B Schechter; Joseph A Sparano; Reshma Jagsi; Julia White; Judith-Anne W Chapman; Timothy Whelan; Stewart J Anderson; Anthony W Fyles; Willi Sauerbrei; Richard C Zellars; Yisheng Li; Juhee Song; Xuelin Huang; Thomas B Julian; George Luta; Donald A Berry; Eric J Feuer; Jeanne Mandelblatt Journal: J Natl Cancer Inst Date: 2018-12-01 Impact factor: 13.506
Authors: Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark Journal: N Engl J Med Date: 2004-12-10 Impact factor: 91.245
Authors: T J Smith; L Penberthy; C E Desch; M Whittemore; C Newschaffer; B E Hillner; D McClish; S M Retchin Journal: Lung Cancer Date: 1995-12 Impact factor: 5.705
Authors: Tracy A Lieu; G Thomas Ray; Stephanie R Prausnitz; Laurel A Habel; Stacey Alexeeff; Yan Li; Scott D Ramsey; Charles E Phelps; Neetu Chawla; Suzanne C O'Neill; Jeanne S Mandelblatt Journal: Breast Cancer Res Treat Date: 2017-02-21 Impact factor: 4.872
Authors: K Robin Yabroff; Elizabeth B Lamont; Angela Mariotto; Joan L Warren; Marie Topor; Angela Meekins; Martin L Brown Journal: J Natl Cancer Inst Date: 2008-04-29 Impact factor: 13.506
Authors: Laura Panattoni; Tracy A Lieu; Jinani Jayasekera; Suzanne O'Neill; Jeanne S Mandelblatt; Ruth Etzioni; Charles E Phelps; Scott D Ramsey Journal: Breast Cancer Res Treat Date: 2018-10-10 Impact factor: 4.872
Authors: Valentina I Petkov; Dave P Miller; Nadia Howlader; Nathan Gliner; Will Howe; Nicola Schussler; Kathleen Cronin; Frederick L Baehner; Rosemary Cress; Dennis Deapen; Sally L Glaser; Brenda Y Hernandez; Charles F Lynch; Lloyd Mueller; Ann G Schwartz; Stephen M Schwartz; Antoinette Stroup; Carol Sweeney; Thomas C Tucker; Kevin C Ward; Charles Wiggins; Xiao-Cheng Wu; Lynne Penberthy; Steven Shak Journal: NPJ Breast Cancer Date: 2016-06-08
Authors: Young Chandler; Jinani C Jayasekera; Clyde B Schechter; Claudine Isaacs; Christopher J Cadham; Jeanne S Mandelblatt Journal: J Natl Cancer Inst Date: 2020-06-01 Impact factor: 13.506
Authors: L M McSorley; M Tharmabala; F Al Rahbi; K McSorley; S Chew; D Evoy; J G Geraghty; R S Prichard; J Rothwell; D P McCartan; E W McDermott; M Keane; M J Kennedy; S O'Reilly; S J Millen; J P Crown; L M Smyth; C M Kelly; C M Quinn; J M Walshe Journal: Breast Cancer Res Treat Date: 2021-04-09 Impact factor: 4.872
Authors: Lindsey Enewold; Helen Parsons; Lirong Zhao; David Bott; Donna R Rivera; Michael J Barrett; Beth A Virnig; Joan L Warren Journal: J Natl Cancer Inst Monogr Date: 2020-05-01
Authors: Paolo Giorgi Rossi; Annette Lebeau; Carlos Canelo-Aybar; Zuleika Saz-Parkinson; Cecily Quinn; Miranda Langendam; Helen Mcgarrigle; Sue Warman; David Rigau; Pablo Alonso-Coello; Mireille Broeders; Axel Graewingholt; Margarita Posso; Stephen Duffy; Holger J Schünemann Journal: Br J Cancer Date: 2021-02-18 Impact factor: 7.640
Authors: Daniel A Goldstein; Chen Mayer; Tzippy Shochat; Daniel Reinhorn; Assaf Moore; Michal Sarfaty; Rinat Yerushalmi; Hadar Goldvaser Journal: Cancer Med Date: 2020-05-06 Impact factor: 4.452