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. 2024 Feb 9;42(12):1344–1349. doi: 10.1200/JCO.23.01428

Long-Term Follow-Up of the Anthracyclines in Early Breast Cancer Trials (USOR 06-090, NSABP B-46-I/USOR 07132, and NSABP B-49 [NRG Oncology])

Charles E Geyer Jr 1,2,, Joanne L Blum 3, Greg Yothers 4, Lina Asmar 5, Patrick J Flynn 6, Nicholas J Robert 7, Judith O Hopkins 8, Joyce A O'Shaughnessy 9, Priya Rastogi 1,2,10, Shannon L Puhalla 1,2, Christie J Hilton 1,11, Chau T Dang 12, Henry Leonidas Gómez 13, Svetislava J Vukelja 14, Alan P Lyss 15, Devchand Paul 5, Adam M Brufsky 2,10, Linda H Colangelo 4, Sandra M Swain 1,16, Eleftherios P Mamounas 1,17, Norman Wolmark 1,2
PMCID: PMC11095853  PMID: 38335467

Abstract

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported.

The primary joint efficacy analysis of the Anthracyclines in Early Breast Cancer (ABC) trials reported in 2017 failed to demonstrate nonanthracycline adjuvant therapy was noninferior to anthracycline-based regimens in high-risk, early breast cancer. Full analyses of the studies had proceeded when the prespecified futility boundary was crossed at a planned futility analysis for the ability to demonstrate noninferiority of a nonanthracycline regimen with continued follow-up. These results were presented with 3.3 years of median follow-up. This manuscript reports results of the final analyses of the study efficacy end points conducted with 6.9 years of median follow-up. Long-term analysis of invasive disease-free survival (IDFS), the primary end point of the ABC trials, remains consistent with the original results, as noninferiority of the nonanthracycline regimens could not be declared on the basis of the original criteria. The secondary end point of recurrence-free interval, which excluded deaths not due to breast cancer as events, favored anthracycline-based regimens, and tests for heterogeneity were significant for hormone receptor status (P = .02) favoring anthracycline regimens for the hormone receptor–negative cohorts. There was no difference in overall survival, and review of the type of IDFS events in the groups suggested reductions in cancer recurrences achieved with anthracycline regimens were offset by late leukemias and deaths unrelated to breast cancer.

INTRODUCTION

The aim of the joint analysis of the Anthracyclines in Early Breast Cancer (ABC) trials was to determine if six cycles of docetaxel with cyclophosphamide (TC6) was noninferior to standard regimens of docetaxel or paclitaxel with cyclophosphamide and doxorubicin (TaxAC). A hazard ratio (HR) for invasive disease-free survival (IDFS) of 1.18 was the prespecified margin of inferiority. The ABC trials were three sequential adjuvant trials that randomly assigned women to receive TC6 or TaxAC. The definitive analysis was planned when 668 IDFS events had been reported across the three trials, with a single interim analysis (IA) for futility when 50% of events required for the definitive analysis were reported. The IA conducted with a median follow-up of 3.3 years demonstrated an HR of 1.20, so the data monitoring committee recommended full analysis, which demonstrated TC6 was inferior to TaxAC (HR, 1.23).1 Herein, with a median follow-up of 6.9 years and 731 IDFS events, we report updated results of IDFS and secondary end points of recurrence-free interval (RFI) and overall survival (OS).

METHODS

Study Design

Designs of the individual ABC trials and the joint analysis were reported previously.1

End Point Definitions

The primary end point was IDFS and secondary end points included RFI and OS. Definitions were provided previously.1

An HR >1.18 was predefined as demonstrating inferiority, corresponding to an absolute difference of ≥2% in the 5-year IDFS rate of TC6 relative to TaxAC, using a Cox model stratified for the parent trial, nodal status, and hormone receptor status. Noninferiority was to be tested at alpha 10% one-sided error, equivalent to an 80% CI for the IDFS HR, excluding 1.18 for the final analysis.1

Statistical Analysis

All patients with follow-up were analyzed according to randomized treatment assignment (intention to treat [ITT]). P values are two-sided (unless otherwise specified), not controlled for multiple comparisons, and are provided as a measure of strength of evidence. Time to event was measured from random assignment and time-to-event plots were estimated by the Kaplan-Meier (K-M) method.2 HRs were estimated from stratified Cox models and P values for time to event were obtained from stratified log-rank tests. Strata used for analyses were parent trial, nodal status, and hormone receptor status, or the appropriate subset of factors for subset analyses. Fisher’s exact or chi-square tests were used to test for differences in proportions.3

RESULTS

Patient Characteristics

Between May 2007 and November 2013, a total of 4,243 patients enrolled in the common arms of the three trials. Of these, 4,181 were analyzed, with 2,102 women assigned to TC6 and 2,079 to TaxAC (Data Supplement, Fig S1). Patient and tumor characteristics are described in Table 1. Median follow-up is 6.9 years for the combined studies. Although the distribution of characteristics differs statistically by protocol, absolute differences are small and not clinically relevant.

TABLE 1.

Patient and Tumor Characteristics by Parent ABC Protocol Data as of September 30, 2020

Patient or Tumor Characteristic USOR 06-090 (n = 1,287) B-46-I/07132 (n = 1,051) B-49 (n = 1,843) Total (N = 4,181) P a
Follow-up, years, median 9.4 6.5 6.7 6.9 NA
Age, years, %
 ≤49 37 38 32 35
 50-59 38 35 35 36 <.0001
 ≥60 26 27 34 30
Race, %
 White 88 83 84 85
 Black or African American 10 12 11 11
 Asian 2 2 2 2 <.0001
 Other/unknown 1 3 3 2
Ethnicity, %
 Hispanic or Latino 11 11 8 10
 Not Hispanic or Latino 89 85 90 88 <.0001
 Unknown 0 4 2 2
Hormonal receptor status, %
 ER- or PgR-positive 71 67 69 69
 ER- and PgR-negative 29 33 31 31 .15
No. of positive nodes, %
 0 35 38 46 40
 1-3 51 43 40 44
 4-9 11 14 11 11 <.0001
 ≥10 3 5 4 4
Histologic grade, %
 Low 12 10 9 10
 Intermediate 38 37 36 37
 High 45 52 55 51 <.0001
 Unknown 5 1 <0.5 2

Abbreviations: ABC, anthracyclines in early breast cancer; ER, estrogen receptor; NA, not applicable; PgR, progesterone receptor.

a

Chi-square test.

Update of the Primary End Point, IDFS

The observed HR for IDFS on the basis of ITT analysis using all available information through September 30, 2020, for TC6 versus TaxAC is 1.14. Figure 1A shows KM plots of IDFS. Five-year IDFS rates were 85.1% for TC6 and 86.7% for TaxAC. The 80% CI for the HR of 1.14 is 1.04 to 1.25, the upper boundary of which does not exclude the prespecified inferiority threshold of 1.18; therefore, noninferiority of TC6 was not demonstrated in the ITT population.

FIG 1.

FIG 1.

Kaplan-Meier plots of time-to-event: (A) IDFS, (B) RFI, and (C) OS. IDFS, invasive disease-free survival; OS, overall survival; RFI, recurrence-free interval; TaxAC, docetaxel or paclitaxel with cyclophosphamide and doxorubicin; TC, docetaxel with cyclophosphamide.

The Data Supplement (Table S2) provides number and type of IDFS first events by treatment. TaxAC significantly reduced any recurrence as a first event compared with TC6 (P = .0012) but was associated with increased leukemias (P = .03) and non–breast cancer deaths (P = .003). The Data Supplement (Table S3) summarizes reported causes of non–breast cancer deaths for 58 patients from B-46-I/07132 and B-49 as the first IDFS event. Deaths were numerically higher in the TaxAC arms for cardiac (8 v 3), neurologic (4 v 0), and unknown (18 v 8) causes, respectively. Cause of death data were not available for USOR 06090.

Secondary End Points

There is a statistically significant difference in RFI in favor of TaxAC, with 295 events in the TC6 group and 216 events in the TaxAC arms (HR, 1.38 [95% CI, 1.16 to 1.65]; P = .0003; Fig 1B). Five-year RFI rates were 88.2% for TC6 and 91.0% for TaxAC. However, there is no significant difference in OS with 234 deaths in the TC6 groups and 221 deaths in the TaxAC groups (HR, 1.05 [95% CI, 0.87 to 1.26]; P = .64; Fig 1C). Five-year OS rates are 91.8% and 92.4%, respectively.

Subset Analyses

Subset analyses are presented in Table 2 and the Data Supplement (Fig S1). Planned exploratory tests for treatment interaction by protocol, hormone receptor status, and nodal status were conducted along with race and histologic grade and were negative for IDFS (Data Supplement, Fig S1A) and OS (Data Supplement, Fig S1C) but significant (P = .02) for treatment by hormone receptor status interaction for RFI (Data Supplement, Fig S1B). The HR for RFI for TC6 versus TaxAC in the receptor-negative subset was 1.90 (95% CI, 1.39 to 2.61; P < .0001) demonstrating superiority for TaxAC. The HR for IDFS was 1.30 (95% CI, 1.02 to 1.67; P = .04) in the receptor-negative subset, also favoring TaxAC.

TABLE 2.

Subset Analyses: ABC Protocols

IDFS End Point
Characteristic Patients Events HR (95% CI) P Interaction P Value
TaxAC TC TaxAC TC
Protocola
 USOR 06-090 642 645 97 140 1.39 (1.07 to 1.80) .01
 B-46-I/07132 522 529 75 88 1.21 (0.89 to 1.65) .23 .11
 B-49 915 928 170 161 0.96 (0.78 to 1.20) .74
Hormone receptora
 Negative 657 647 114 139 1.30 (1.02 to 1.67) .04 .21
 Positive 1,422 1,455 228 250 1.06 (0.89 to 1.27) .50
Positive nodesa
 0 824 866 120 141 1.10 (0.86 to 1.40) .45
 1-3 934 914 130 145 1.16 (0.91 to 1.47) .23 .82
 4+ 321 322 92 103 1.14 (0.86 to 1.51) .36
Raceb
 White 1,747 1,803 280 331 1.17 (1.0 to 1.37) .06 .58
 Black 223 238 43 50 1.09 (0.71 to 1.68) .69
Histologic gradeb
 Low/intermediate 977 994 138 153 1.08 (0.86 to 1.36) .51 .71
 High 1,062 1,073 199 230 1.15 (0.95 to 1.39) .15
Overall 2,079 2,102 342 389 1.14 (0.99 to 1.32) .08
RFI End Point
Patients Events
Characteristic TaxAC TC TaxAC TC HR (95% CI) P Interaction P Value
Protocola
 USOR 06-090 642 645 61 111 1.76 (1.29 to 2.40) .0003
 B-46-I/07132 522 529 50 68 1.40 (0.97 to 2.03) .07 .13
 B-49 915 928 105 116 1.15 (0.88 to 1.49) .32
Hormone receptora
 Negative 657 647 62 107 1.90 (1.39 to 2.61) <.0001 .02
 Positive 1,422 1,455 154 188 1.19 (0.96 to 1.47) .11
Positive nodesa
 0 824 866 64 104 1.52 (1.11 to 2.07) .008
 1-3 934 914 84 105 1.30 (0.97 to 1.73) .08 .41
 4+ 321 322 68 86 1.29 (0.94 to 1.77) .12
Raceb
 White 1,747 1,803 177 249 1.40 (1.15 to 1.70) .0007 .87
 Black 223 238 27 40 1.52 (0.90 to 2.54) .11
Histologic gradeb
 Low/intermediate 977 994 86 110 1.23 (0.93 to 1.64) .15 .41
 High 1,062 1,073 127 181 1.44 (1.15 to 1.82) .002
Overall 2,079 2,102 216 295 1.38 (1.16 to 1.65) .0003
OS End Point
Patients Events
Characteristic TaxAC TC TaxAC TC HR (95% CI) P Interaction P Value
Protocola
 USOR 06-090 642 645 71 89 1.18 (0.87 to 1.62) .29
 B-46-I/07132 522 529 45 58 1.27 (0.86 to 1.88) .23 .21
 B-49 915 928 105 87 0.85 (0.64 to 1.13) .27
Hormone receptora
 Negative 657 647 75 94 1.30 (0.96 to 1.77) .09 .10
 Positive 1,422 1,455 146 140 0.92 (0.73 to 1.16) .49
Positive nodesa
 0 824 866 76 84 1.01 (0.74 to 1.38) .93
 1-3 934 914 77 80 1.08 (0.79 to 1.48) .64 .92
 4+ 321 322 68 70 1.02 (0.73 to 1.43) .90
Raceb
 White 1,747 1,803 181 196 1.06 (0.86 to 1.30) .58 .94
 Black 223 238 28 34 1.12 (0.66 to 1.90) .67
Histologic gradeb
 Low/intermediate 977 994 78 80 0.98 (0.72 to 1.35) .91 .84
 High 1,062 1,073 141 150 1.03 (0.81 to 1.30) .82
Overall 2,079 2,102 221 234 1.05 (0.87 to 1.26) .64

Abbreviations: ABC, anthracyclines in early breast cancer; HR, hazard ratio; IDFS, invasive disease-free survival; OS, overall survival; RFI, recurrence-free interval; TaxAC, docetaxel or paclitaxel with cyclophosphamide and doxorubicin; TC, docetaxel with cyclophosphamide.

aPrespecified subset analysis.

bExploratory subset analysis.

The Data Supplement (Table S4) provides results of exploratory subset analysis of nodal status by hormone receptor status with absolute 5-year point estimates for IDFS, RFI, and OS for each cohort.

DISCUSSION

Long-term analysis of IDFS, the primary end point of the ABC trials, remains consistent with the original analysis, although conclusions on the basis of prespecified criteria for demonstrating noninferiority of docetaxel with cyclophosphamide (TC) relative to TaxAC for each analysis were slightly different. The HR of 1.23 in the original analysis exceeded the prespecified HR of 1.18 for inferiority, consistent with the inferiority of TC6.1 With 332 additional events for this analysis, the HR of 1.14 with an upper boundary of the 80% CI of 1.25 does not exclude the inferiority threshold of 1.18, so noninferiority of TC6 for IDFS is not demonstrated. Both the original analysis and this updated analysis of the ABC trials are consistent with the recent meta-analysis reported by the EBCTCG.4

RFI, which excluded deaths not due to breast cancer as events, favored TaxAC with an HR of 1.38 with corresponding 5-year RFI rates of 88.2% for TC6 versus 91.0% for TaxAC. Tests for heterogeneity for RFI were significant for hormone receptor status (P = .02) favoring TaxAC for the hormone receptor–negative cohorts. However, with nearly 7 years of median follow-up and 455 deaths across both arms, the HR for OS is 1.05 (P = .64), corresponding to 5-year OS rates of 91.8% versus 92.4%, respectively. Review of the type of first IDFS events demonstrate 290 versus 213 total recurrences with TC relative to TaxAC, offset by one versus seven leukemias and 34 versus 62 deaths without recurrence or second cancers, respectively, suggesting reductions of recurrent breast cancers with TaxAC were offset by increases in late leukemias and deaths unrelated to breast cancer.

A comparison of IDFS by hormone receptor and nodal status in the original manuscript suggested clinically important benefit from TaxAC might be limited to hormone receptor–negative patients and hormone receptor–positive patients with four or more positive nodes. An update in the Data Supplement (Table S4) suggests clinically important benefit from inclusion of doxorubicin was limited to hormone receptor–negative breast cancer. Although not definitive, the long-term results suggest TC6 may be sufficient for most patients with hormone receptor–positive breast cancer who derive substantial benefit from endocrine therapy. However, biomarker analyses are planned to identify subsets of patients who could benefit from inclusion of anthracyclines.

ACKNOWLEDGMENT

The authors thank the patients who made this study possible; co-authors and participating USOR, NSABP, Alliance, and ECOG-ACRIN investigators and their research staffs; and USOR, NSABP, and NRG Oncology staff at the Operations and Biostatical Centers.

Charles E. Geyer Jr

Consulting or Advisory Role: Exact Sciences

Research Funding: Genentech/Roche (Inst), AstraZeneca (Inst), Daiichi Sankyo/Astra Zeneca (Inst), AbbVie (Inst)

Travel, Accommodations, Expenses: AbbVie, Genentech/Roche, Daiichi-Sankyo, AstraZeneca

Joanne L. Blum

Honoraria: Pfizer, Tempus

Consulting or Advisory Role: Pfizer, Tempus, TD2

Speakers' Bureau: Pfizer, Tempus

Travel, Accommodations, Expenses: Pfizer

Greg Yothers

Employment: Mountainview Pediatrics

Consulting or Advisory Role: Orbus Therapeutics

Patrick J. Flynn

Stock and Other Ownership Interests: Sanofi

Nicholas J. Robert

Employment: McKesson

Leadership: McKesson

Stock and Other Ownership Interests: McKesson, Oncolytics, Moderna Therapeutics

Joyce A. O'Shaughnessy

Honoraria: AstraZeneca, Lilly, AbbVie, Celgene, Eisai, Novartis, Pfizer, Agendia, Amgen, Bristol Myers Squibb, Genentech, GRAIL, Immunomedics, HERON, Ipsen, Merck, Myriad Pharmaceuticals, Puma Biotechnology, Roche, Syndax, Sanofi, Samsung, Daiichi Sankyo, Aptitude Health, Bayer, G1 Therapeutics, Gilead Sciences, Halozyme, Nektar, Pharmacyclics, Pierre Fabre, Prime Oncology, Seagen, Taiho Oncology, Takeda, Synthon, Ontada/McKesson

Consulting or Advisory Role: Novartis, Pfizer, Lilly, AbbVie, AstraZeneca, Celgene, Eisai, Agendia, Amgen, Bristol Myers Squibb, Genentech, GRAIL, Immunomedics, HERON, Ipsen, Merck, Myriad Pharmaceuticals, Puma Biotechnology, Roche, Syndax, Sanofi, Samsung, Daiichi Sankyo, Aptitude Health, Bayer, G1 Therapeutics, Gilead Sciences, Halozyme, Nektar, Pharmacyclics, Pierre Fabre, Prime Oncology, Seagen, Taiho Oncology, Takeda, Synthon, Ontada/McKesson

Speakers' Bureau: AstraZeneca, Novartis, Lilly, Pfizer, Seagen

Research Funding: Seagen (Inst)

Travel, Accommodations, Expenses: Celgene, Lilly, Novartis, Pfizer, AbbVie, Agendia, Amgen, Eisai, GRAIL, Ipsen, Myriad Pharmaceuticals, Puma Biotechnology, Seagen, AstraZeneca, Sanofi, Roche

Shannon L. Puhalla

Consulting or Advisory Role: Celldex, Pfizer, Eisai, AstraZeneca, Puma Biotechnology, AbbVie

Research Funding: AbbVie (Inst), Novartis (Inst), Lilly (Inst), Pfizer (Inst), Incyte (Inst), Covance/Bayer (Inst), Puma Biotechnology (Inst), Roche/Genentech (Inst), AstraZeneca (Inst), Medivation (Inst)

Christie J. Hilton

Honoraria: CEA Clinical Education Alliance, Targeted Oncology, OncLive/MJH Life Sciences

Consulting or Advisory Role: Johns Hopkins Metastatic Breast Cancer Clinic, Curio Science, Gilead Sciences, bioTheranostics, AstraZeneca

Speakers' Bureau: AstraZeneca/Daiichi Sankyo, Daiichi Sankyo/Astra Zeneca

Travel, Accommodations, Expenses: Gilead Sciences, Gilead Sciences

Chau T. Dang

Consulting or Advisory Role: Daiichi Sankyo, Pfizer, Gilead Sciences, Seagen, Novartis, ROCHE/Genentech

Research Funding: Genentech/Roche (Inst), Puma Biotechnology (Inst)

Travel, Accommodations, Expenses: ROCHE/Genentech

Henry Leonidas Gómez

Consulting or Advisory Role: AstraZeneca

Speakers' Bureau: Roche, AstraZeneca, Bristol Myers Squibb

Research Funding: MSD Oncology

Adam M. Brufsky

Consulting or Advisory Role: Pfizer, Genentech/Roche, Agendia, Novartis, Bayer, Lilly, bioTheranostics, Puma Biotechnology, Merck, Myriad Pharmaceuticals, Eisai, Immunomedics, Seagen, Daiichi Sankyo/Lilly, Tyme, AbbVie, Onc Live, Michael J. Hennessy Associates, Gilead Sciences, Coherus Biosciences, Coherus Biosciences, General Electric, General Electric

Research Funding: Roche/Genentech (Inst), AstraZeneca/Daiichi Sankyo (Inst), Merck (Inst), Novartis (Inst), Gilead Sciences (Inst), Lilly (Inst), Puma Biotechnology (Inst)

Expert Testimony: Pfizer

Sandra M. Swain

Leadership: Seagen

Stock and Other Ownership Interests: Seagen

Consulting or Advisory Role: Genentech/Roche, Daiichi Sankyo, Molecular Templates, Athenex, AstraZeneca, Exact Sciences, Natera, bioTheranostics, Aventis Pharma, Jaguar Health

Research Funding: Genentech (Inst), Kailos Genetics (Inst)

Travel, Accommodations, Expenses: Daichi Sankyo, Aventis Pharma

Other Relationship: AstraZeneca, Roche, AstraZeneca

Uncompensated Relationships: Genentech/Roche

Open Payments Link: https://openpaymentsdata.cms.gov/physician/801195/associated-research-funding

Eleftherios P. Mamounas

Stock and Other Ownership Interests: Moderna Therapeutics

Honoraria: Genentech/Roche, Precisca, Exact Sciences, Merck

Consulting or Advisory Role: bioTheranostics, Roche/Genentech, Merck, Precisca, Exact Sciences, Tersera, Sanofi/Aventis

Speakers' Bureau: Genentech/Roche, Exact Sciences, Merck

Travel, Accommodations, Expenses: SBI Pharmaceuticals

Norman Wolmark

Travel, Accommodations, Expenses: Komen Award, SABCS, 2022

No other potential conflicts of interest were reported.

SUPPORT

Supported by PHS grants from the NCI, Department of HHS: U10CA-180868, -21115, -180822; -180820; -180821; -180791; and UG1-189867; grants from the Susan G. Komen for the Cure; Sanofi; and Genentech.

CLINICAL TRIAL INFORMATION

ClinicalTrials.gov: USOR 06-090: NCT00493870; NSABP B-46-I/USOR 07132: NCT00887536; NSABP B-49: NCT01547741

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

Long-Term Follow-Up of the Anthracyclines in Early Breast Cancer Trials (USOR 06-090, NSABP B-46-I/USOR 07132, and NSABP B-49 [NRG Oncology])

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/jco/authors/author-center.

Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).

Charles E. Geyer Jr

Consulting or Advisory Role: Exact Sciences

Research Funding: Genentech/Roche (Inst), AstraZeneca (Inst), Daiichi Sankyo/Astra Zeneca (Inst), AbbVie (Inst)

Travel, Accommodations, Expenses: AbbVie, Genentech/Roche, Daiichi-Sankyo, AstraZeneca

Joanne L. Blum

Honoraria: Pfizer, Tempus

Consulting or Advisory Role: Pfizer, Tempus, TD2

Speakers' Bureau: Pfizer, Tempus

Travel, Accommodations, Expenses: Pfizer

Greg Yothers

Employment: Mountainview Pediatrics

Consulting or Advisory Role: Orbus Therapeutics

Patrick J. Flynn

Stock and Other Ownership Interests: Sanofi

Nicholas J. Robert

Employment: McKesson

Leadership: McKesson

Stock and Other Ownership Interests: McKesson, Oncolytics, Moderna Therapeutics

Joyce A. O'Shaughnessy

Honoraria: AstraZeneca, Lilly, AbbVie, Celgene, Eisai, Novartis, Pfizer, Agendia, Amgen, Bristol Myers Squibb, Genentech, GRAIL, Immunomedics, HERON, Ipsen, Merck, Myriad Pharmaceuticals, Puma Biotechnology, Roche, Syndax, Sanofi, Samsung, Daiichi Sankyo, Aptitude Health, Bayer, G1 Therapeutics, Gilead Sciences, Halozyme, Nektar, Pharmacyclics, Pierre Fabre, Prime Oncology, Seagen, Taiho Oncology, Takeda, Synthon, Ontada/McKesson

Consulting or Advisory Role: Novartis, Pfizer, Lilly, AbbVie, AstraZeneca, Celgene, Eisai, Agendia, Amgen, Bristol Myers Squibb, Genentech, GRAIL, Immunomedics, HERON, Ipsen, Merck, Myriad Pharmaceuticals, Puma Biotechnology, Roche, Syndax, Sanofi, Samsung, Daiichi Sankyo, Aptitude Health, Bayer, G1 Therapeutics, Gilead Sciences, Halozyme, Nektar, Pharmacyclics, Pierre Fabre, Prime Oncology, Seagen, Taiho Oncology, Takeda, Synthon, Ontada/McKesson

Speakers' Bureau: AstraZeneca, Novartis, Lilly, Pfizer, Seagen

Research Funding: Seagen (Inst)

Travel, Accommodations, Expenses: Celgene, Lilly, Novartis, Pfizer, AbbVie, Agendia, Amgen, Eisai, GRAIL, Ipsen, Myriad Pharmaceuticals, Puma Biotechnology, Seagen, AstraZeneca, Sanofi, Roche

Shannon L. Puhalla

Consulting or Advisory Role: Celldex, Pfizer, Eisai, AstraZeneca, Puma Biotechnology, AbbVie

Research Funding: AbbVie (Inst), Novartis (Inst), Lilly (Inst), Pfizer (Inst), Incyte (Inst), Covance/Bayer (Inst), Puma Biotechnology (Inst), Roche/Genentech (Inst), AstraZeneca (Inst), Medivation (Inst)

Christie J. Hilton

Honoraria: CEA Clinical Education Alliance, Targeted Oncology, OncLive/MJH Life Sciences

Consulting or Advisory Role: Johns Hopkins Metastatic Breast Cancer Clinic, Curio Science, Gilead Sciences, bioTheranostics, AstraZeneca

Speakers' Bureau: AstraZeneca/Daiichi Sankyo, Daiichi Sankyo/Astra Zeneca

Travel, Accommodations, Expenses: Gilead Sciences, Gilead Sciences

Chau T. Dang

Consulting or Advisory Role: Daiichi Sankyo, Pfizer, Gilead Sciences, Seagen, Novartis, ROCHE/Genentech

Research Funding: Genentech/Roche (Inst), Puma Biotechnology (Inst)

Travel, Accommodations, Expenses: ROCHE/Genentech

Henry Leonidas Gómez

Consulting or Advisory Role: AstraZeneca

Speakers' Bureau: Roche, AstraZeneca, Bristol Myers Squibb

Research Funding: MSD Oncology

Adam M. Brufsky

Consulting or Advisory Role: Pfizer, Genentech/Roche, Agendia, Novartis, Bayer, Lilly, bioTheranostics, Puma Biotechnology, Merck, Myriad Pharmaceuticals, Eisai, Immunomedics, Seagen, Daiichi Sankyo/Lilly, Tyme, AbbVie, Onc Live, Michael J. Hennessy Associates, Gilead Sciences, Coherus Biosciences, Coherus Biosciences, General Electric, General Electric

Research Funding: Roche/Genentech (Inst), AstraZeneca/Daiichi Sankyo (Inst), Merck (Inst), Novartis (Inst), Gilead Sciences (Inst), Lilly (Inst), Puma Biotechnology (Inst)

Expert Testimony: Pfizer

Sandra M. Swain

Leadership: Seagen

Stock and Other Ownership Interests: Seagen

Consulting or Advisory Role: Genentech/Roche, Daiichi Sankyo, Molecular Templates, Athenex, AstraZeneca, Exact Sciences, Natera, bioTheranostics, Aventis Pharma, Jaguar Health

Research Funding: Genentech (Inst), Kailos Genetics (Inst)

Travel, Accommodations, Expenses: Daichi Sankyo, Aventis Pharma

Other Relationship: AstraZeneca, Roche, AstraZeneca

Uncompensated Relationships: Genentech/Roche

Open Payments Link: https://openpaymentsdata.cms.gov/physician/801195/associated-research-funding

Eleftherios P. Mamounas

Stock and Other Ownership Interests: Moderna Therapeutics

Honoraria: Genentech/Roche, Precisca, Exact Sciences, Merck

Consulting or Advisory Role: bioTheranostics, Roche/Genentech, Merck, Precisca, Exact Sciences, Tersera, Sanofi/Aventis

Speakers' Bureau: Genentech/Roche, Exact Sciences, Merck

Travel, Accommodations, Expenses: SBI Pharmaceuticals

Norman Wolmark

Travel, Accommodations, Expenses: Komen Award, SABCS, 2022

No other potential conflicts of interest were reported.

AUTHOR CONTRIBUTIONS

Conception and design: Charles E. Geyer, Joanne L. Blum, Patrick J. Flynn, Nicholas J. Robert, Joyce A. O'Shaughnessy, Priya Rastogi, Sandra M. Swain, Eleftherios P. Mamounas, Norman Wolmark

Administrative support: Greg Yothers

Provision of study materials or patients: Joanne L. Blum, Patrick J. Flynn, Judith O. Hopkins, Chau T. Dang, Adam M. Brufsky, Eleftherios P. Mamounas

Collection and assembly of data: Charles E. Geyer, Joanne L. Blum, Greg Yothers, Lina Asmar, Patrick J. Flynn, Judith O. Hopkins, Shannon L. Puhalla, Svetislava J. Vukelja, Devchand Paul, Adam M. Brufsky, Linda H. Colangelo, Eleftherios P. Mamounas

Data analysis and interpretation: Charles E. Geyer, Joanne L. Blum, Greg Yothers, Patrick J. Flynn, Judith O. Hopkins, Joyce A. O'Shaughnessy, Priya Rastogi, Shannon L. Puhalla, Christie J. Hilton, Chau T. Dang, Henry Leonidas Gómez, Alan P. Lyss, Devchand Paul, Adam M. Brufsky, Linda H. Colangelo, Sandra M. Swain, Eleftherios P. Mamounas

Manuscript writing: All authors

Final approval of manuscript: All authors

Accountable for all aspects of the work: All authors

REFERENCES

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