| Literature DB >> 35151316 |
Kelly A Hirko1, Gabrielle Rocque2, Erica Reasor2, Ammanuel Taye2, Alex Daly3, Ramsey I Cutress3, Ellen R Copson3, Dae-Won Lee4,5, Kyung-Hun Lee4,5, Seock-Ah Im4,5, Yeon Hee Park6.
Abstract
Breast cancer is the most commonly diagnosed cancer worldwide and is one of the leading causes of cancer death. The incidence, pathological features, and clinical outcomes in breast cancer differ by geographical distribution and across racial and ethnic populations. Importantly, racial and ethnic diversity in breast cancer clinical trials is lacking, with both Blacks and Hispanics underrepresented. In this forum article, breast cancer researchers from across the globe discuss the factors contributing to racial and ethnic breast cancer disparities and highlight specific implications of precision oncology approaches for equitable provision of breast cancer care to improve outcomes and address disparities.Entities:
Keywords: BRCA mutations; Breast cancer; CDK4/6 inhibitors; Clinical outcomes; Disparities; Ethnicity; PARP inhibitors; Precision oncology; Race; Socioeconomic status; Targeted therapy
Mesh:
Year: 2022 PMID: 35151316 PMCID: PMC8841090 DOI: 10.1186/s12916-022-02260-0
Source DB: PubMed Journal: BMC Med ISSN: 1741-7015 Impact factor: 8.775
Fig. 1Age-standardized incidence compared with age-standardized mortality breast cancer rates across 21 regions and 5 continents in women age 0–49 years (based on publicly available data from GLOBOCAN) [49]
Tumor characteristics in different ethnic groups: data from the Prospective study of Outcomes in Sporadic versus Hereditary breast cancer [50]
| Tumor characteristic | All | White, | Black, | Asian, | |
|---|---|---|---|---|---|
| Tumor diameter median | 22.0 | 22.0 | 26.00 | 26.00 | |
| Multifocal distribution | 29.9% | 24.64% | 38.55% | 32.69% | |
| Nodal stage | |||||
| N0 | 48.9% | 49.2% | 43.9% | 48.2% | |
| N1 | 51.2% | 50.8% | 56.1% | 51.8% | |
| Distant metastases | 2.5% | 2.4% | 5.1% | 3.5% | |
| Grade | |||||
| 1 | 5.7% | 5.6% | 0.9% | 11.8% | |
| 2 | 33.8% | 34.0% | 30.0% | 28.2% | |
| 3 | 60.6% | 60.4% | 68.1% | 60.0% | |
| Missing | 2.7% | 2.5% | 4.2% | 2.3% | |
| ER positiveb | 66.1% | 66.5% | 62.4% | 57.5% | |
| ER negative | 33.9% | 33.5% | 37.6% | 42.5% | |
| Missing | 0.4% | 0.4% | 0.9% | 0.0% | |
| HER2 positiveb | 28.1% | 28.3% | 20.2% | 29.7% | |
| HER2 negative | 72.0% | 71.7% | 79.8% | 70.3% | |
| Missing | 13.5% | 13.7% | 7.6% | 14.9% | |
| TNTc | 19.0% | 18.6% | 26.1% | 23.2% | |
| Missing | 4.2% | 4.2% | 2.5% | 5.8% | |
Abbreviations: ER estrogen receptor, HER2 human epidermal growth factor receptor 2PR ¼ progesterone receptor, TNT triple-negative
aIncludes patients in an other or missing/unknown ethnic group
bIncludes data from TMA as well as primary POSH data
cIncludes patients with an ER-negative, HER2-negative, and PR-negative status. p-values obtained from the Pearson’s chi-squared test between ethnic groups and each categorical variable (excluding other ethnic groups and missing/unknown data)
Asian population in pivotal CDK4/6 inhibitor trials
| Trial | Line of treatment | Number of patients | Regimen | Asian population | mPFS (mo), ET+CDKi vs. ET |
|---|---|---|---|---|---|
| MONALEESA-2 | 1st | 668 | Letrozole ± ribociclib | 7.6% | |
| MONALEESA-7 | 1st | 672 | Endocrine ± ribociclib | 29.5% | 30.4 vs. 11.0 |
| MONARCH-3 | 1st | 493 | NSAI ± abemaciclib | 30.0% | |
| PALOMA-2 | 1st | 666 | Letrozole ± palbociclib | 14.2% | 25.7 vs. 13.9 |
| MONALEESA-3 | 1st and 2nd | 726 | Fulvestrant ± ribociclib | 8.7% | NR vs. 12.7a |
| MONARCH 2 | 2nd | 669 | Fulvestrant ± abemaciclib | 32.0% | 22.8 vs. .11.6 |
| PALOMA-3 | 2nd or later | 521 | Fulvestrant ± palbociclib | 21.0% | NR vs. 5.8 |
Abbreviations: ET endocrine treatment, CDKi cyclin-dependent kinase inhibitor, NSAI non-steroidal aromatase inhibitor, NR not reached at the time of publication
aPooled analysis of the MONALEESA-2, MONALEESA-3, and MONALEESA-7 trials of ribociclib (RIB) plus endocrine therapy (ET)