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.
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.
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
- 1. Blum JL, Flynn PJ, Yothers G, et al. Anthracyclines in Early Breast Cancer: The ABC trials-USOR 06-090, NSABP B-46-I/USOR 07132, and NSABP B-49 (NRG Oncology) J Clin Oncol. 2017;35:2647–2655. doi: 10.1200/JCO.2016.71.4147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc. 1958;53:457–481. [Google Scholar]
- 3.Agresti A. Categorical Data Analysis. Hoboken, NJ: John Wiley & Sons; 2002. pp. 231–232.https://reneues.files.wordpress.com/2010/01/categorical-data-analysis-alan-agresti.pdf [Google Scholar]
- 4. Early Breast Cancer Trialists’ Collaborative Group (EBCTCG) Anthracycline-containing and taxane-containing chemotherapy for early-stage operable breast cancer: A patient-level meta-analysis of 100,000 women from 86 randomised trials. Lancet. 2023;401:1277–1292. doi: 10.1016/S0140-6736(23)00285-4. [DOI] [PMC free article] [PubMed] [Google Scholar]

