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Differential distribution of actual and surrogate oncotype DX recurrence scores in breast cancer patients by age, menopausal status, race, and body mass index

  • Epidemiology
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Abstract

Purpose

The Oncotype DX Recurrence Score (RS) is a widely used prognostic tool for estrogen receptor-positive breast cancer patients. Multiple surrogate models can predict RS with good accuracy. In this study we aimed to determine whether the RS and two surrogate indices were differentially distributed by age, menopausal status, race, and body mass index (BMI).

Methods

516 breast cancer cases treated at a single institution were analyzed. Epidemiologic data, RS, tumor size, grade, and biomarker data were abstracted. Breast Cancer Prognostic Score (BCPS) and modified Magee equation 2 were used to calculate surrogate RS. Patients were stratified into different groups based on age, menopausal status, race, BMI, or a combination of strata. Mean and standard deviation were calculated for each group/subgroup.

Results

Age below median (< 63) was associated with higher RS, especially in obese and Black patients. RS was also higher in obese and Black patients in the premenopausal subgroup. Black patients had a higher RS compared to White women in the premenopausal and non-obese subgroups. BMI < 30 was associated with higher RS, especially in older, postmenopausal, and Black patients. Some of these observations were replicated by the two surrogate models. The surrogate recurrence scores were higher in the younger age group, in non-obese older/postmenopausal women, and in younger/premenopausal obese individuals.

Conclusions

Higher RS was observed in younger and premenopausal breast cancer patients, especially among the Black and obese subgroups, and in non-obese patients, especially among Black and older/postmenopausal women, suggesting more aggressive disease in these subgroups. Some statistical differences could be replicated by both surrogate models, suggesting that they may have utility in breast cancer epidemiology studies that do not have access to Oncotype DX RS or patient outcome data.

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Data availability

Enquiries about data availability should be directed to the authors.

References

  1. Giaquinto AN, Miller KD, Tossas KY, Winn RA, Jemal A, Siegel RL (2022) Cancer statistics for African American/Black people 2022. CA Cancer J Clin 72(3):202–229. https://doi.org/10.3322/caac.21718

    Article  PubMed  Google Scholar 

  2. Lord SJ, Marinovich ML, Patterson JA et al (2012) Incidence of metastatic breast cancer in an Australian population-based cohort of women with non-metastatic breast cancer at diagnosis. Med J Aust 196(11):688–692. https://doi.org/10.5694/mja12.10026

    Article  PubMed  Google Scholar 

  3. Chen HL, Zhou MQ, Tian W, Meng KX, He HF (2016) Effect of age on breast cancer patient prognoses: a population-based study using the SEER 18 database. PLoS ONE 11(10):e0165409. https://doi.org/10.1371/journal.pone.0165409

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Partridge AH, Hughes ME, Warner ET et al (2016) Subtype-dependent relationship between young age at diagnosis and breast cancer survival. J Clin Oncol 34(27):3308–3314. https://doi.org/10.1200/JCO.2015.65.8013

    Article  PubMed  Google Scholar 

  5. Cheng R, Kong X, Wang X, Fang Y, Wang J (2020) Oncotype DX breast recurrence score distribution and chemotherapy benefit among women of different age groups with HR-positive, HER2-negative, node-negative breast cancer in the SEER database. Front Oncol. 10:1583. https://doi.org/10.3389/fonc.2020.01583

    Article  PubMed  PubMed Central  Google Scholar 

  6. Vu Hong T, Nguyen Ba D, Skoog L, Ta Thanh V, Tani E (2019) Breast cancer survival defined by biological receptor and menopausal status in Vietnamese women. Cancer Control 26(1):1073274819865279. https://doi.org/10.1177/1073274819865279

    Article  PubMed  PubMed Central  Google Scholar 

  7. Lao C, Elwood M, Kuper-Hommel M, Campbell I, Lawrenson R (2021) Impact of menopausal status on risk of metastatic recurrence of breast cancer. Menopause 28(10):1085–1092. https://doi.org/10.1097/GME.0000000000001817

    Article  PubMed  Google Scholar 

  8. Protani M, Coory M, Martin JH (2010) Effect of obesity on survival of women with breast cancer: systematic review and meta-analysis. Breast Cancer Res Treat 123(3):627–635. https://doi.org/10.1007/s10549-010-0990-0

    Article  PubMed  Google Scholar 

  9. Niraula S, Ocana A, Ennis M, Goodwin PJ (2012) Body size and breast cancer prognosis in relation to hormone receptor and menopausal status: a meta-analysis. Breast Cancer Res Treat 134(2):769–781. https://doi.org/10.1007/s10549-012-2073-x

    Article  CAS  PubMed  Google Scholar 

  10. Sparano JA, Wang M, Zhao F et al (2012) Race and hormone receptor-positive breast cancer outcomes in a randomized chemotherapy trial. J Natl Cancer Inst 104(5):406–414. https://doi.org/10.1093/jnci/djr543

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Luís C, Dias J, Firmino-Machado J et al (2023) A retrospective study in tumour characteristics and clinical outcomes of overweight and obese women with breast cancer. Breast Cancer Res Treat 198(1):89–101. https://doi.org/10.1007/s10549-022-06836-5

    Article  PubMed  Google Scholar 

  12. Paik S, Shak S, Tang G et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351(27):2817–2826. https://doi.org/10.1056/NEJMoa041588

    Article  CAS  PubMed  Google Scholar 

  13. Namuche F, Ruiz RE, Morante Cruz ZD et al (2018) Oncotype Dx results in patients £ 40 years: does age matter? New insights. Ann Oncol 29(Suppl 8):67–68

    Article  Google Scholar 

  14. Kalinsky K, Barlow WE, Gralow JR et al (2021) 21-Gene assay to inform chemotherapy benefit in node-positive breast cancer. N Engl J Med 385(25):2336–2347. https://doi.org/10.1056/NEJMoa2108873

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Zhang S, Fitzsimmons KC, Hurvitz SA (2022) Oncotype DX recurrence score in premenopausal women. Ther Adv Med Oncol. 14:17588359221081076. https://doi.org/10.1177/17588359221081077

    Article  PubMed  PubMed Central  Google Scholar 

  16. Carr DN, Vera N, Sun W et al (2015) Menopausal status does not predict oncotype DX recurrence score. J Surg Res 198(1):27–33. https://doi.org/10.1016/j.jss.2015.05.034

    Article  PubMed  Google Scholar 

  17. Holowatyj AN, Cote ML, Ruterbusch JJ et al (2018) Racial differences in 21-gene recurrence scores among patients with hormone receptor-positive, node-negative breast cancer [published correction appears in J Clin Oncol. 2018 Apr 1;36(10):1054]. J Clin Oncol. 36(7):652–658. https://doi.org/10.1200/JCO.2017.74.5448

    Article  PubMed  PubMed Central  Google Scholar 

  18. Han Y, Miao ZF, Lian M, Peterson LL, Colditz GA, Liu Y (2020) Racial and ethnic disparities in 21-gene recurrence scores, chemotherapy, and survival among women with hormone receptor-positive, node-negative breast cancer. Breast Cancer Res Treat 184(3):915–925. https://doi.org/10.1007/s10549-020-05902-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Lund MJ, Mosunjac M, Davis KM et al (2012) 21-Gene recurrence scores: racial differences in testing, scores, treatment, and outcome. Cancer 118(3):788–796. https://doi.org/10.1002/cncr.26180

    Article  PubMed  Google Scholar 

  20. Collin LJ, Yan M, Jiang R et al (2019) Oncotype DX recurrence score implications for disparities in chemotherapy and breast cancer mortality in Georgia. NPJ Breast Cancer 5:32. https://doi.org/10.1038/s41523-019-0129-3

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Hoskins KF, Danciu OC, Ko NY, Calip GS (2021) Association of race/ethnicity and the 21-gene recurrence score with breast cancer-specific mortality among US women. JAMA Oncol 7(3):370–378. https://doi.org/10.1001/jamaoncol.2020.7320

    Article  PubMed  Google Scholar 

  22. Moore J, Wang F, Pal T et al (2022) Oncotype DX risk recurrence score and total mortality for early-stage breast cancer by race/ethnicity. Cancer Epidemiol Biomarkers Prev 31(4):821–830. https://doi.org/10.1158/1055-9965.EPI-21-0929

    Article  PubMed  PubMed Central  Google Scholar 

  23. Albain KS, Gray RJ, Makower DF et al (2021) Race, ethnicity, and clinical outcomes in hormone receptor-positive, HER2-negative, node-negative breast cancer in the randomized TAILORx trial. J Natl Cancer Inst 113(4):390–399. https://doi.org/10.1093/jnci/djaa148

    Article  CAS  PubMed  Google Scholar 

  24. Tong Y, Gao W, Wu J et al (2021) Comprehensive association analysis of 21-gene recurrence score and obesity in chinese breast cancer patients. Front Oncol. 11:619840. https://doi.org/10.3389/fonc.2021.619840

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Lee J, Kim H, Bae SJ et al (2022) Association of body mass index with 21-gene recurrence score among women with estrogen receptor-positive, ERBB2-negative breast cancer. JAMA Netw Open 5(11):e2243935. https://doi.org/10.1001/jamanetworkopen.2022.43935

    Article  PubMed  PubMed Central  Google Scholar 

  26. Geradts J, Bean SM, Bentley RC, Barry WT (2010) The oncotype DX recurrence score is correlated with a composite index including routinely reported pathobiologic features. Cancer Invest 28(9):969–977. https://doi.org/10.3109/07357907.2010.512600

    Article  PubMed  Google Scholar 

  27. Klein ME, Dabbs DJ, Shuai Y et al (2013) Prediction of the oncotype DX recurrence score: use of pathology-generated equations derived by linear regression analysis. Mod Pathol 26(5):658–664. https://doi.org/10.1038/modpathol.2013.36

    Article  PubMed  PubMed Central  Google Scholar 

  28. Turner BM, Skinner KA, Tang P et al (2015) Use of modified Magee equations and histologic criteria to predict the oncotype DX recurrence score. Mod Pathol 28(7):921–931. https://doi.org/10.1038/modpathol.2015.50

    Article  PubMed  Google Scholar 

  29. Mohamed A, Kousar A, Wong J, Vohra N, Muzaffar M, Geradts J (2022) Pathobiologic stratification of oncotype DX recurrence scores and comparative validation of 3 surrogate models. Arch Pathol Lab Med 146(10):1258–1267. https://doi.org/10.5858/arpa.2021-0367-OA

    Article  CAS  PubMed  Google Scholar 

  30. Allred DC (2010) Issues and updates: evaluating estrogen receptor-alpha, progesterone receptor, and HER2 in breast cancer. Mod Pathol 23(Suppl 2):S52–S59. https://doi.org/10.1038/modpathol.2010.55

    Article  CAS  PubMed  Google Scholar 

  31. Cress RD, Chen YS, Morris CR, Chew H, Kizer KW (2016) Underutilization of gene expression profiling for early-stage breast cancer in California. Cancer Causes Control 27(6):721–727. https://doi.org/10.1007/s10552-016-0743-4

    Article  PubMed  PubMed Central  Google Scholar 

  32. Orucevic A, Heidel RE, Bell JL (2016) Utilization and impact of 21-gene recurrence score assay for breast cancer in clinical practice across the United States: lessons learned from the 2010 to 2012 national cancer data base analysis. Breast Cancer Res Treat 157(3):427–435. https://doi.org/10.1007/s10549-016-3833-9

    Article  PubMed  PubMed Central  Google Scholar 

  33. Press DJ, Ibraheem A, Dolan ME, Goss KH, Conzen S, Huo D (2018) Racial disparities in omission of oncotype DX but no racial disparities in chemotherapy receipt following completed oncotype DX test results. Breast Cancer Res Treat 168(1):207–220. https://doi.org/10.1007/s10549-017-4587-8

    Article  PubMed  Google Scholar 

  34. Ko NY, Qureshi MM, Oladeru OT et al (2020) Racial differences in genomic testing and receipt of endocrine therapy in early-stage breast cancer. Breast Cancer Res Treat 184(3):849–859. https://doi.org/10.1007/s10549-020-05888-9

    Article  CAS  PubMed  Google Scholar 

  35. Guth AA, Fineberg S, Fei K, Franco R, Bickell NA (2013) Utilization of oncotype DX in an inner city population: race or place? Int J Breast Cancer. 2013:653805. https://doi.org/10.1155/2013/653805

    Article  PubMed  PubMed Central  Google Scholar 

  36. Davis BA, Aminawung JA, Abu-Khalaf MM et al (2017) Racial and ethnic disparities in oncotype DX test receipt in a statewide population-based study. J Natl Compr Canc Netw 15(3):346–354. https://doi.org/10.6004/jnccn.2017.0034

    Article  PubMed  Google Scholar 

  37. Roberts MC, Weinberger M, Dusetzina SB et al (2016) Racial variation in the uptake of oncotype DX testing for early-stage breast cancer. J Clin Oncol 34(2):130–138. https://doi.org/10.1200/JCO.2015.63.2489

    Article  CAS  PubMed  Google Scholar 

  38. Allott EH, Geradts J, Cohen SM et al (2018) Frequency of breast cancer subtypes among African American women in the AMBER consortium. Breast Cancer Res 20(1):12. https://doi.org/10.1186/s13058-018-0939-5

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Polley MY, Leung SC, McShane LM et al (2013) An international Ki67 reproducibility study. J Natl Cancer Inst 105(24):1897–1906. https://doi.org/10.1093/jnci/djt306

    Article  PubMed  PubMed Central  Google Scholar 

  40. Beadle BM, Woodward WA, Buchholz TA (2011) The impact of age on outcome in early-stage breast cancer. Semin Radiat Oncol 21(1):26–34. https://doi.org/10.1016/j.semradonc.2010.09.001

    Article  PubMed  PubMed Central  Google Scholar 

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The authors have not disclosed any funding related to this study.

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AM: data collection, manuscript writing and review; LO: statistical analysis, figure creation, manuscript writing and review; JG: concept, study design, data interpretation, coordination, manuscript writing and final review.

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Correspondence to Joseph Geradts.

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Mohamed, A., Olsson, L.T. & Geradts, J. Differential distribution of actual and surrogate oncotype DX recurrence scores in breast cancer patients by age, menopausal status, race, and body mass index. Breast Cancer Res Treat 201, 447–460 (2023). https://doi.org/10.1007/s10549-023-07025-8

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