1
|
Chua AV, Sheng H, Liang E, Gandhi S, Kwan ML, Ergas IJ, Roh JM, Laurent CA, Yan L, Khoury T, Ambrosone CB, Kushi LH, Yao S. Epidemiology of early vs late recurrence among women with early stage estrogen receptor-positive breast cancer in the Pathways Study. J Natl Cancer Inst 2024; 116:1621-1631. [PMID: 38845078 PMCID: PMC11461155 DOI: 10.1093/jnci/djae128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/15/2024] [Accepted: 05/31/2024] [Indexed: 08/09/2024] Open
Abstract
BACKGROUND Relatively little is known about the differences in prognostic factors for early vs late recurrence among women with early stage estrogen receptor-positive breast cancer. METHODS We analyzed factors related to early (<5 years) vs late (≥5 years) recurrence in 2992 women with stage I-IIB estrogen receptor-positive breast cancer in the Pathways Study, a prospective cohort of women with breast cancer enrolled between 2006 and 2013, with ascertainment of recurrence and death through December 2021. RESULTS After a median follow-up of 13.3 years, 341 (13.8%) women had recurrences, including 181 (53.7%) with late recurrence. Higher stage and grade were associated with recurrence regardless of timing, whereas progesterone receptor negativity was associated with early but not late recurrence. Receipt of endocrine therapy was associated with reduced risk of overall recurrence, but the length of endocrine therapy was not statistically significant in multivariable models. Minoritized racial and ethnic groups, including Asian, Black, and Hispanic women, had higher risk of early but not late recurrence compared to non-Hispanic White women. The trend of higher risk of early recurrence among these groups remained after adjustment for clinical, demographic, and socioeconomic factors but was statistically significant only in Asian women. CONCLUSIONS Our study revealed potentially important distinctions for early vs late recurrence, including the associations with progesterone receptor negativity and self-identified race and ethnicity. Possible higher risk of early recurrence among Asian, Black, and Hispanic women provides novel evidence for the existence of disparities in cancer outcomes, even within the breast cancer subtype indicative of generally good prognosis.
Collapse
Affiliation(s)
- Alfredo V Chua
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Haiyang Sheng
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Emily Liang
- Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Shipra Gandhi
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Marilyn L Kwan
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Isaac J Ergas
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Janise M Roh
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Cecile A Laurent
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Li Yan
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Thaer Khoury
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| |
Collapse
|
2
|
Sun X, Kennedy LC, Gonzalez-Ericsson PI, Sanchez V, Sanders M, Perou CM, Troester MA, Balko JM, Reid SA. Associations of Immune Checkpoint Predictive Biomarkers (MHC-I and MHC-II) with Clinical and Molecular Features in a Diverse Breast Cancer Cohort. Clin Cancer Res 2024; 30:4077-4081. [PMID: 39007881 PMCID: PMC11398978 DOI: 10.1158/1078-0432.ccr-24-1286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/25/2024] [Accepted: 07/10/2024] [Indexed: 07/16/2024]
Abstract
PURPOSE Immunotherapy (IO) in triple-negative breast cancer (TNBC) has improved survival outcomes, with promising improvements in pCR rates among early high-risk hormone receptor (HR)+/HER2- breast cancers. However, biomarkers are needed to select patients likely to benefit from IO. MHC-I and tumor-specific MHC-II (tsMHC-II) expression are candidate biomarkers for PD-(L)1 checkpoint inhibition but existing data from clinical trials included limited racial/ethnic diversity. EXPERIMENTAL DESIGN We performed multiplexed immunofluorescence assays in the Carolina Breast Cancer Study (CBCS; n = 1,628, 48% Black, 52% non-Black). Intrinsic subtype and P53 mutant-like status were identified using RNA-based multigene assays. We ranked participants based on tumoral MHC-I intensity (top 33% categorized as "MHC-Ihigh") and MHC-II+ (≥5% of tumor cells as tsMHC-II+). MHC-I/II were evaluated in association with clinicopathological features by race. RESULTS Black participants had higher frequency of TNBC (25% vs. 12.5%, P ≤ 0.001) and basal-like (30% vs. 14%, P ≤ 0.001) tumors overall, and higher frequency of basal-like (11% vs. 5.5%, P = 0.002) and TP53 mutant tumors (26% vs. 17%, P = 0.002) among HR+/HER2-. The frequency of tsMHC-II+ was higher in HR+/HER2- Black participants (7.9% vs. 4.9%, P = 0.04). Black participants also had higher frequency of MHC-Ihigh (38.7% vs. 28.2%, P < 0.001), which was significant among HR+/HER2- (28.2% vs. 22.1%, P = 0.02). CONCLUSIONS In this diverse study population, MHC-I and MHC-II tumor cell expression were more highly expressed in HR+/HER2- tumors from Black women, underscoring the importance of diverse and equitable enrollment in future IO trials.
Collapse
Affiliation(s)
- Xiaopeng Sun
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Laura C Kennedy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Breast Cancer Research Program, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Paula I Gonzalez-Ericsson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Breast Cancer Research Program, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Violeta Sanchez
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Melinda Sanders
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Breast Cancer Research Program, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
| | | | - Justin M Balko
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Breast Cancer Research Program, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sonya A Reid
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Breast Cancer Research Program, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| |
Collapse
|
3
|
Strand SH, Houlahan KE, Branch V, Lynch T, Rivero-Guitiérrez B, Harmon B, Couch F, Gallagher K, Kilgore M, Wei S, DeMichele A, King T, McAuliffe P, Curtis C, Owzar K, Marks JR, Colditz GA, Hwang ES, West RB. Analysis of ductal carcinoma in situ by self-reported race reveals molecular differences related to outcome. Breast Cancer Res 2024; 26:127. [PMID: 39223670 PMCID: PMC11367816 DOI: 10.1186/s13058-024-01885-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 08/21/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Ductal carcinoma in situ (DCIS) is a non-obligate precursor to invasive breast cancer (IBC). Studies have indicated differences in DCIS outcome based on race or ethnicity, but molecular differences have not been investigated. METHODS We examined the molecular profile of DCIS by self-reported race (SRR) and outcome groups in Black (n = 99) and White (n = 191) women in a large DCIS case-control cohort study with longitudinal follow up. RESULTS Gene expression and pathway analyses suggested that different genes and pathways are involved in diagnosis and ipsilateral breast outcome (DCIS or IBC) after DCIS treatment in White versus Black women. We identified differences in ER and HER2 expression, tumor microenvironment composition, and copy number variations by SRR and outcome groups. CONCLUSIONS Our results suggest that different molecular mechanisms drive initiation and subsequent ipsilateral breast events in Black versus White women.
Collapse
MESH Headings
- Adult
- Aged
- Female
- Humans
- Middle Aged
- Biomarkers, Tumor/genetics
- Black or African American/genetics
- Breast Neoplasms/genetics
- Breast Neoplasms/pathology
- Breast Neoplasms/ethnology
- Carcinoma, Intraductal, Noninfiltrating/genetics
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Carcinoma, Intraductal, Noninfiltrating/ethnology
- Case-Control Studies
- DNA Copy Number Variations
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Prognosis
- Receptor, ErbB-2/metabolism
- Receptor, ErbB-2/genetics
- Receptors, Estrogen/metabolism
- Self Report
- Tumor Microenvironment/genetics
- White/genetics
Collapse
Affiliation(s)
- Siri H Strand
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Kathleen E Houlahan
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Medicine, Genetics, Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Vernal Branch
- National Breast Cancer Coalition, 2001 L Street NW, Suite 500 PMB#50111, Washington, DC, 20036, USA
| | - Thomas Lynch
- Department of Surgery, Duke University School of Medicine, Durham, NC, 27708, USA
| | | | - Bryan Harmon
- Department of Pathology, Montefiore Medical Center, New York City, NY, USA
| | - Fergus Couch
- Department of Pathology, Mayo Clinic, Rochester, MN, USA
| | - Kristalyn Gallagher
- Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mark Kilgore
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Shi Wei
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Angela DeMichele
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tari King
- Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Christina Curtis
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Medicine, Genetics, Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Kouros Owzar
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27708, USA
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC, 27708, USA
| | - Jeffrey R Marks
- Department of Surgery, Duke University School of Medicine, Durham, NC, 27708, USA
| | - Graham A Colditz
- Department of Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - E Shelley Hwang
- Department of Surgery, Duke University School of Medicine, Durham, NC, 27708, USA
| | - Robert B West
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| |
Collapse
|
4
|
Nhim V, Bencomo-Alvarez AE, Alvarado L, Kilcoyne M, Gonzalez-Henry MA, Olivas IM, Keivan M, Gaur S, Mulla ZD, Dwivedi AK, Gadad SS, Eiring AM. Racial/ethnic differences in the clinical presentation and survival of breast cancer by subtype. Front Oncol 2024; 14:1443399. [PMID: 39220652 PMCID: PMC11361935 DOI: 10.3389/fonc.2024.1443399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 07/22/2024] [Indexed: 09/04/2024] Open
Abstract
Background Breast cancer (BC) affects racial and ethnic groups differently, leading to disparities in clinical presentation and outcomes. It is unclear how Hispanic ethnicity affects BC outcomes based on geographic location and proximity to the United States (U.S.)/Mexico border. We hypothesized that the impact of race/ethnicity on BC outcomes depends on geographic location and country of origin within each BC subtype. Methods We analyzed BC data from the Texas Cancer Registry by race/ethnicity/birthplace according to BC subtype (luminal A/luminal B/human epidermal growth factor receptor 2 [HER2]/triple-negative breast cancer[TNBC]). Other covariates included age, geographic location (U.S., Mexico), residency (border, non-border), treatments, and comorbidities. Crude and adjusted effects of race/ethnicity and birthplace on overall survival (OS) were analyzed using Cox regression methods. Results Our analysis of 76,310 patient records with specific BC subtypes revealed that Hispanic and non-Hispanic Black (NHB) patients were diagnosed at a younger age compared with non-Hispanic White (NHW) patients for all BC subtypes. For the 19,748 BC patients with complete data on race/ethnicity/birthplace/residency, Hispanic patients had a higher mortality risk in the Luminal A subtype, regardless of birthplace, whereas U.S.-born Hispanics had a higher risk of death in the TNBC subtype. In contrast, NHB patients had a higher mortality risk in the Luminal A and HER2 subtypes. Residence along the U.S./Mexico border had little impact on OS, with better outcomes in Luminal A patients and worse outcomes in Luminal B patients aged 60-74 years. Conclusion Race/ethnicity, geographic birth location, and residency were significant predictors of survival in BC. Migration, acculturation, and reduced healthcare access may contribute to outcome differences.
Collapse
Affiliation(s)
- Vutha Nhim
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
- University of Arkansas for Medical Sciences, Washington Regional Medical Center, Fayetteville, AR, United States
| | - Alfonso E. Bencomo-Alvarez
- Center of Emphasis in Cancer, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
- St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Luis Alvarado
- Biostatistics and Epidemiology Consulting Lab, Office of Research, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Michelle Kilcoyne
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
- Baylor College of Medicine, Houston, TX, United States
| | - Mayra A. Gonzalez-Henry
- Center of Emphasis in Cancer, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Idaly M. Olivas
- Center of Emphasis in Cancer, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Mehrshad Keivan
- Burrell College of Osteopathic Medicine, Las Cruces, NM, United States
| | - Sumit Gaur
- Department of Internal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Zuber D. Mulla
- Department of Obstetrics and Gynecology, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
- Office of Faculty Development, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
- Julia Jones Matthews School of Population and Public Health, Texas Tech University Health Sciences Center, Abilene, TX, United States
| | - Alok K. Dwivedi
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
- Biostatistics and Epidemiology Consulting Lab, Office of Research, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Shrikanth S. Gadad
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
- Center of Emphasis in Cancer, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Anna M. Eiring
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
- Center of Emphasis in Cancer, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| |
Collapse
|
5
|
Van Alsten SC, Vohra SN, Ivory JM, Hamilton AM, Gao X, Kirk EL, Butler EN, Earp HS, Reeder-Hayes KE, Hoadley KA, Carey LA, Troester MA. Differences in 21-Gene and PAM50 Recurrence Scores in Younger and Black Women With Breast Cancer. JCO Precis Oncol 2024; 8:e2400137. [PMID: 39013134 DOI: 10.1200/po.24.00137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/08/2024] [Accepted: 06/10/2024] [Indexed: 07/18/2024] Open
Abstract
PURPOSE Genomic tests, such as the Oncotype Dx 21-gene and Prosigna risk of recurrence (ROR-P) assay, are commonly used for breast cancer prognostication. Emerging data suggest variability between assays, but this has not been compared in diverse populations. MATERIALS AND METHODS RNA sequencing was performed on 647 previously untreated stage I-III estrogen receptor-positive/human epidermal growth factor receptor 2-negative tumors in the Carolina Breast Cancer Study, which oversampled Black and younger women (age <50 years at diagnosis), using research versions of two common RNA-based prognostic assays: ROR-PR and the 21-gene recurrence score (RSR). Relative frequency differences and 95% CIs were estimated for associations with race and age, and hazards of 5-year local or distant recurrence were modeled with Cox regression. Proliferation and estrogen module scores from each assay, representing broad activity of genes in those pathways, were examined to guide interpretation of differences between tests. RESULTS Among both younger and older individuals, Black women had higher frequency of intermediate and high ROR-PR scores than non-Black women. Race was not significantly associated with RSR in either age group. High (hazard ratio [HR], 4.67 [95% CI, 1.73 to 12.70]) and intermediate (HR, 2.12 [95% CI, 0.98 to 4.62]) ROR-PR scores were associated with greater risk of recurrence, but RSR did not predict recurrence. RSR emphasized estrogen over proliferation modules, whereas ROR-PR emphasized proliferation. Higher proliferation scores were associated with younger age and Black race in both assays. Modifications to the RSR algorithm that increased emphasis on proliferation improved prognostication in this diverse population. CONCLUSION ROR-PR and the 21-gene RSR differentially emphasize estrogen-related and proliferative biology. The emphasis of 21-gene RS on estrogen-related biology and lower endocrine therapy initiation among Black women may contribute to poorer prognostic ability in heterogeneously treated populations.
Collapse
Affiliation(s)
- Sarah C Van Alsten
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Sanah N Vohra
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Joannie M Ivory
- Division of Oncology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Alina M Hamilton
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Xiaohua Gao
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Erin L Kirk
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Eboneé N Butler
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - H Shelton Earp
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Katherine E Reeder-Hayes
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Division of Oncology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Lisa A Carey
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Melissa A Troester
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| |
Collapse
|
6
|
Yanguela J, Jackson BE, Reeder-Hayes KE, Roberson ML, Rocque GB, Kuo TM, LeBlanc MR, Baggett CD, Green L, Laurie-Zehr E, Wheeler SB. Simulating the population impact of interventions to reduce racial gaps in breast cancer treatment. J Natl Cancer Inst 2024; 116:902-910. [PMID: 38281076 PMCID: PMC11160503 DOI: 10.1093/jnci/djae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 01/16/2024] [Accepted: 01/21/2024] [Indexed: 01/29/2024] Open
Abstract
BACKGROUND Inequities in guideline-concordant treatment receipt contribute to worse survival in Black patients with breast cancer. Inequity-reduction interventions (eg, navigation, bias training, tracking dashboards) can close such treatment gaps. We simulated the population-level impact of statewide implementation of inequity-reduction interventions on racial breast cancer inequities in North Carolina. METHODS Using registry-linked multipayer claims data, we calculated inequities between Black and White patients receiving endocrine therapy (n = 12 033) and chemotherapy (n = 1819). We then built cohort-stratified (endocrine therapy and chemotherapy) and race-stratified Markov models to simulate the potential increase in the proportion of patients receiving endocrine therapy or chemotherapy and subsequent improvements in breast cancer outcomes if inequity-reducing intervention were implemented statewide. We report uncertainty bounds representing 95% of simulation results. RESULTS In total, 75.6% and 72.1% of Black patients received endocrine therapy and chemotherapy, respectively, over the 2006-2015 and 2004-2015 periods (vs 79.3% and 78.9% of White patients, respectively). Inequity-reduction interventions could increase endocrine therapy and chemotherapy receipt among Black patients to 89.9% (85.3%, 94.6%) and 85.7% (80.7%, 90.9%). Such interventions could also decrease 5-year and 10-year breast cancer mortality gaps from 3.4 to 3.2 (3.0, 3.3) and from 6.7 to 6.1 (5.9, 6.4) percentage points in the endocrine therapy cohorts and from 8.6 to 8.1 (7.7, 8.4) and from 8.2 to 7.8 (7.3, 8.1) percentage points in the chemotherapy cohorts. CONCLUSIONS Inequity-focused interventions could improve cancer outcomes for Black patients, but they would not fully close the racial breast cancer mortality gap. Addressing other inequities along the cancer continuum (eg, screening, pre- and postdiagnosis risk factors) is required to achieve full equity in breast cancer outcomes.
Collapse
Affiliation(s)
- Juan Yanguela
- Department of Health Policy and Management, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Bradford E Jackson
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Katherine E Reeder-Hayes
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Oncology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mya L Roberson
- Department of Health Policy and Management, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gabrielle B Rocque
- Division of Hematology/Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Tzy-Mey Kuo
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Matthew R LeBlanc
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christopher D Baggett
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Laura Green
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Erin Laurie-Zehr
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephanie B Wheeler
- Department of Health Policy and Management, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| |
Collapse
|
7
|
Hamilton AM, Walens A, Van Alsten SC, Olsson LT, Nsonwu-Farley J, Gao X, Kirk EL, Perou CM, Carey LA, Troester MA, Abdou Y. BIRC5 expression by race, age and clinical factors in breast cancer patients. Breast Cancer Res 2024; 26:50. [PMID: 38515208 PMCID: PMC10956264 DOI: 10.1186/s13058-024-01792-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/20/2024] [Indexed: 03/23/2024] Open
Abstract
PURPOSE Survivin/BIRC5 is a proliferation marker that is associated with poor prognosis in breast cancer and an attractive therapeutic target. However, BIRC5 has not been well studied among racially diverse populations where aggressive breast cancers are prevalent. EXPERIMENTAL DESIGN We studied BIRC5 expression in association with clinical and demographic variables and as a predictor of recurrence in 2174 participants in the Carolina Breast Cancer Study (CBCS), a population-based study that oversampled Black (n = 1113) and younger (< 50 years; n = 1137) participants with breast cancer. For comparison, similar analyses were conducted in The Cancer Genome Atlas [TCGA N = 1094, Black (n = 183), younger (n = 295)]. BIRC5 was evaluated as a continuous and categorical variable (highest quartile vs. lower three quartiles). RESULTS Univariate, continuous BIRC5 expression was higher in breast tumors from Black women relative to non-Black women in both estrogen receptor (ER)-positive and ER-negative tumors and in analyses stratified by stage (i.e., within Stage I, Stage II, and Stage III/IV tumors). Within CBCS and TCGA, BIRC5-high was associated with young age (< 50 years) and Black race, as well as hormone receptor-negative tumors, non-Luminal A PAM50 subtypes, advanced stage, and larger tumors (> 2 cm). Relative to BIRC5-low, BIRC5-high tumors were associated with poor 5-year recurrence-free survival (RFS) among ER-positive tumors, both in unadjusted models [HR (95% CI): 2.7 (1.6, 4.6)] and after adjustment for age and stage [Adjusted HR (95% CI): 1.87 (1.07, 3.25)]. However, this relationship was not observed among ER-negative tumors [Crude HR (95% CI): 0.7 (0.39, 1.2); Adjusted HR (95% CI): 0.67 (0.37, 1.2)]. CONCLUSION Black and younger women with breast cancer have a higher burden of BIRC5-high tumors than older and non-Black women. Emerging anti-survivin treatment strategies may be an important future direction for equitable breast cancer outcomes.
Collapse
Affiliation(s)
- Alina M Hamilton
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Sarah C Van Alsten
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Linnea T Olsson
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Joseph Nsonwu-Farley
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Xiaohua Gao
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Erin L Kirk
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Charles M Perou
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Lisa A Carey
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Melissa A Troester
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Yara Abdou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
- Department of Medicine, Division of Oncology, University of North Carolina at Chapel Hill, 101 Manning Drive, CB# 7305, Chapel Hill, NC, 27514, USA.
| |
Collapse
|
8
|
Kamaraju S, Conroy M, Harris A, Georgen M, Min H, Powell M, Kurzrock R. Challenges to genetic testing for germline mutations associated with breast cancer among African Americans. Cancer Treat Rev 2024; 124:102695. [PMID: 38325071 DOI: 10.1016/j.ctrv.2024.102695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/09/2024]
Abstract
Inequities in preventive cancer screening, diagnosis, treatment, and inferior cancer outcomes continue to pose challenges across the cancer continuum. While the exact reasons for these inferior outcomes are unknown, multiple barriers to various domains of social determinants of health (SDOH) play a vital role, leading to inequities in cancer care. These include barriers to transportation, housing, and food insecurities, contributing to delays in preventive screening and treatment. Furthermore, aggressive biologies also exist across various racial profiles with accompanying germline mutations. For example, African Americans (AAs) have a higher incidence of triple-negative breast cancer subtype and a high prevalence of BRCA1/2 gene mutations, increasing the risk of multiple cancers, warranting high-risk screening for these populations. Unfortunately, other barriers, such as financial insecurities, low health literacy rates, and lack of awareness, lead to delays in cancer screening and genetic testing, even with available high-risk screening and risk reduction procedures. In addition, physicians receive minimal interdisciplinary training to address genetic assessment, interpretation of the results, and almost no additional training in addressing the unique needs of racial minorities, leading to suboptimal delivery of genetic assessment provision resources among AAs. In this review, we discuss the confluence of factors and barriers limiting genetic testing among AAs and highlight the prevalence of germline mutations associated with increased risk of breast cancer among AAs, reflecting the need for multi-panel germline testing as well as education regarding hereditary cancer risks in underserved minorities.
Collapse
Affiliation(s)
- S Kamaraju
- Medical College of Wisconsin, Milwaukee, WI, USA; Department of Medicine, Division of Hematology-Oncology, Medical College of Wisconsin, Milwaukee, WI, USA; Froedtert Hospital, Milwaukee, WI, USA.
| | - M Conroy
- Medical College of Wisconsin, Milwaukee, WI, USA; Froedtert Hospital, Milwaukee, WI, USA
| | - A Harris
- Medical College of Wisconsin, Milwaukee, WI, USA; Froedtert Hospital, Milwaukee, WI, USA
| | - M Georgen
- Medical College of Wisconsin, Milwaukee, WI, USA; Department of Medicine, Division of Hematology-Oncology, Medical College of Wisconsin, Milwaukee, WI, USA; Froedtert Hospital, Milwaukee, WI, USA
| | - H Min
- Medical College of Wisconsin, Milwaukee, WI, USA; Froedtert Hospital, Milwaukee, WI, USA
| | - M Powell
- Medical College of Wisconsin, Milwaukee, WI, USA; Froedtert Hospital, Milwaukee, WI, USA
| | - R Kurzrock
- Medical College of Wisconsin, Milwaukee, WI, USA; Department of Medicine, Division of Hematology-Oncology, Medical College of Wisconsin, Milwaukee, WI, USA; Froedtert Hospital, Milwaukee, WI, USA
| |
Collapse
|
9
|
Nelson JM, Johnson E, Kiesow B, McCrory B, Ma J. Strengths and opportunities to clinical trial enrollment among BIPOC, rural dwelling patients in the northwest United States: a retrospective study. Front Pharmacol 2024; 15:1309072. [PMID: 38333012 PMCID: PMC10850395 DOI: 10.3389/fphar.2024.1309072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 01/02/2024] [Indexed: 02/10/2024] Open
Abstract
Introduction: Clinical trials investigating the safety and efficacy of experimental drugs and devices are the cornerstone of medicinal advancement. Enrolling sufficient participants in these trials is vital to ensure adequate statistical power and generalizability. Clinical trial participation is particularly low among certain populations, including medically underserved communities (i.e., rural areas) and Black, Indigenous, and People of Color (BIPOC). Methods: A retrospective study design was used to understand patient outcomes and access/barriers to clinical trial participation in the rural northwest United States. A quantitatively focused retrospective chart review was conducted for adult participants enrolled in at least one clinical trial in a single northwest health system between 1999 and 2022. Descriptive and inferential statistical analyses were performed to assess trial outcomes at a significance level 0.05. Results: The retrospective chart review yielded 833 clinical trial records with 753 individual enrolled participants. The all-cause relative frequency of death at last known follow-up amongst clinical trial participants was 8.90% (n = 67). Based on logistic regression, the death was significantly associated with the participants' age at initial trial screening (β = 0.09, p-value <0.001), those that resided in non-metro areas (β = -0.86, p-value = 0.045), and those that lived in Northeastern Montana (β = 1.27, p-value = 0.025). Additionally, death at last known follow-up was significantly associated with enrollment in 2021-2022 (β = -1.52, p-value <0.001), enrolled in more than one study (β = 0.84, p-value = 0.023), in internationally sponsored trials (β = -2.08, p-value <0.001), in Phase I (β = 5.34, p-value <0.001), in Phase II trials (β = 1.37, p-value = 0.013), diabetes as a primary trial target (β = -2.04, p-value = 0.003). Conclusion: As decentralized trial design and remote or virtual elements of traditional trials become normative, representation of rural and frontier populations is imperative to support the generalizability of trial data encouraged by the FDA.
Collapse
Affiliation(s)
- Jamie M. Nelson
- Billings Clinic, Collaborative Science and Innovation Department, Billings, MT, United States
- Mark and Robyn Jones College of Nursing, Montana State University, Bozeman, MT, United States
| | - Elizabeth Johnson
- Mark and Robyn Jones College of Nursing, Montana State University, Bozeman, MT, United States
- Biomedical Innovation for Research and Development Hub, Montana State University, Bozeman, MT, United States
| | - Becky Kiesow
- Billings Clinic, Diabetes Research, Billings, MT, United States
| | - Bernadette McCrory
- Mark and Robyn Jones College of Nursing, Montana State University, Bozeman, MT, United States
- Biomedical Innovation for Research and Development Hub, Montana State University, Bozeman, MT, United States
| | - Jiahui Ma
- Mark and Robyn Jones College of Nursing, Montana State University, Bozeman, MT, United States
| |
Collapse
|
10
|
Reeder-Hayes K, Roberson ML, Wheeler SB, Abdou Y, Troester MA. From Race to Racism and Disparities to Equity: An Actionable Biopsychosocial Approach to Breast Cancer Outcomes. Cancer J 2023; 29:316-322. [PMID: 37963365 PMCID: PMC10651167 DOI: 10.1097/ppo.0000000000000677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
PURPOSE Racial disparities in outcomes of breast cancer in the United States have widened over more than 3 decades, driven by complex biologic and social factors. In this review, we summarize the biological and social narratives that have shaped breast cancer disparities research across different scientific disciplines in the past, explore the underappreciated but crucial ways in which these 2 strands of the breast cancer story are interwoven, and present 5 key strategies for creating transformative interdisciplinary research to achieve equity in breast cancer treatment and outcomes. DESIGN We first review the key differences in tumor biology in the United States between patients racialized as Black versus White, including the overrepresentation of triple-negative breast cancer and differences in tumor histologic and molecular features by race for hormone-sensitive disease. We then summarize key social factors at the interpersonal, institutional, and social structural levels that drive inequitable treatment. Next, we explore how biologic and social determinants are interwoven and interactive, including historical and contemporary structural factors that shape the overrepresentation of triple-negative breast cancer among Black Americans, racial differences in tumor microenvironment, and the complex interplay of biologic and social drivers of difference in outcomes of hormone receptor positive disease, including utilization and effectiveness of endocrine therapies and the role of obesity. Finally, we present 5 principles to increase the impact and productivity of breast cancer equity research. RESULTS We find that social and biologic drivers of breast cancer disparities are often cyclical and are found at all levels of scientific investigation from cells to society. To break the cycle and effect change, we must acknowledge and measure the role of structural racism in breast cancer outcomes; frame biologic, psychosocial, and access factors as interwoven via mechanisms of cumulative stress, inflammation, and immune modulation; take responsibility for the impact of representativeness (or the lack thereof) in genomic and decision modeling on the ability to accurately predict the outcomes of Black patients; create research that incorporates the perspectives of people of color from inception to implementation; and rigorously evaluate innovations in equitable cancer care delivery and health policies. CONCLUSIONS Innovative, cross-disciplinary research across the biologic and social sciences is crucial to understanding and eliminating disparities in breast cancer outcomes.
Collapse
Affiliation(s)
| | | | | | - Yara Abdou
- From the Division of Oncology, School of Medicine
| | | |
Collapse
|
11
|
Almohaywi M, Sugita BM, Centa A, Fonseca AS, Antunes VC, Fadda P, Mannion CM, Abijo T, Goldberg SL, Campbell MC, Copeland RL, Kanaan Y, Cavalli LR. Deregulated miRNA Expression in Triple-Negative Breast Cancer of Ancestral Genomic-Characterized Latina Patients. Int J Mol Sci 2023; 24:13046. [PMID: 37685851 PMCID: PMC10487916 DOI: 10.3390/ijms241713046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/03/2023] [Accepted: 08/05/2023] [Indexed: 09/10/2023] Open
Abstract
Among patients with triple-negative breast cancer (TNBC), several studies have suggested that deregulated microRNA (miRNA) expression may be associated with a more aggressive phenotype. Although tumor molecular signatures may be race- and/or ethnicity-specific, there is limited information on the molecular profiles in women with TNBC of Hispanic and Latin American ancestry. We simultaneously profiled TNBC biopsies for the genome-wide copy number and miRNA global expression from 28 Latina women and identified a panel of 28 miRNAs associated with copy number alterations (CNAs). Four selected miRNAs (miR-141-3p, miR-150-5p, miR-182-5p, and miR-661) were validated in a subset of tumor and adjacent non-tumor tissue samples, with miR-182-5p being the most discriminatory among tissue groups (AUC value > 0.8). MiR-141-3p up-regulation was associated with increased cancer recurrence; miR-661 down-regulation with larger tumor size; and down-regulation of miR-150-5p with larger tumor size, high p53 expression, increased cancer recurrence, presence of distant metastasis, and deceased status. This study reinforces the importance of integration analysis of CNAs and miRNAs in TNBC, allowing for the identification of interactions among molecular mechanisms. Additionally, this study emphasizes the significance of considering the patients ancestral background when examining TNBC, as it can influence the relationship between intrinsic tumor molecular characteristics and clinical manifestations of the disease.
Collapse
Affiliation(s)
- Maram Almohaywi
- Microbiology Department, Howard University Cancer Center, Howard University, Washington, DC 20059, USA
| | - Bruna M. Sugita
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
| | - Ariana Centa
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
| | - Aline S. Fonseca
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
| | - Valquiria C. Antunes
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
| | - Paolo Fadda
- Genomics Shared Resource, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Ciaran M. Mannion
- Department of Pathology, Hackensack University Medical Center, Hackensack, NJ 07701, USA
| | - Tomilowo Abijo
- National Institute of Diabetes and Kidney Diseases, National Institute of Health, Bethesda, MD 20814, USA
| | - Stuart L. Goldberg
- John Theurer Cancer Center, Hackensack Meridian School of Medicine, Hackensack, NJ 07701, USA
- COTA, Inc., New York, NY 10014, USA
| | - Michael C. Campbell
- Department of Biological Sciences Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA 90089, USA
| | - Robert L. Copeland
- Pharmacology Department, Howard University Cancer Center, Howard University, Washington, DC 20059, USA
| | - Yasmine Kanaan
- Microbiology Department, Howard University Cancer Center, Howard University, Washington, DC 20059, USA
| | - Luciane R. Cavalli
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
- Oncology Department, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
| |
Collapse
|
12
|
Jinna ND, Van Alsten S, Rida P, Seewaldt VL, Troester MA. Molecular features of androgen-receptor low, estrogen receptor-negative breast cancers in the Carolina breast cancer study. Breast Cancer Res Treat 2023:10.1007/s10549-023-07014-x. [PMID: 37438515 PMCID: PMC10361868 DOI: 10.1007/s10549-023-07014-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 06/19/2023] [Indexed: 07/14/2023]
Abstract
PURPOSE Androgen receptor (AR) expression is absent in 40-90% of estrogen receptor (ER)-negative breast cancers. The prognostic value of AR in ER-negative patients and therapeutic targets for patients absent in AR remains poorly explored. METHODS We used an RNA-based multigene classifier to identify AR-low and AR-high ER-negative participants in the Carolina Breast Cancer Study (CBCS; N = 669) and The Cancer Genome Atlas (TCGA; N = 237). We compared AR-defined subgroups by demographics, tumor characteristics, and established molecular signatures [PAM50 risk of recurrence (ROR), homologous recombination deficiency (HRD), and immune response]. RESULTS AR-low tumors were more prevalent among younger (RFD = + 10%, 95% CI = 4% to 16%) participants in CBCS and were associated with HER2 negativity (RFD = - 35%, 95% CI = - 44% to - 26%), higher grade (RFD = + 17%, 95% CI = 8% to 26%), and higher risk of recurrence scores (RFD = + 22%, 95% CI = 16.1% to 28%), with similar results in TCGA. The AR-low subgroup was strongly associated with HRD in CBCS (RFD = + 33.3%, 95% CI = 23.8% to 43.2%) and TCGA (RFD = + 41.5%, 95% CI = 34.0% to 48.6%). In CBCS, AR-low tumors had high adaptive immune marker expression. CONCLUSION Multigene, RNA-based low AR expression is associated with aggressive disease characteristics as well as DNA repair defects and immune phenotypes, suggesting plausible precision therapies for AR-low, ER-negative patients.
Collapse
Affiliation(s)
- Nikita D Jinna
- Department of Population Sciences, City of Hope Beckman Research Institute, Duarte, CA, 91010, USA.
| | - Sarah Van Alsten
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Padmashree Rida
- Department of Science, Rowland Hall, Salt Lake City, UT, 84102, USA
| | - Victoria L Seewaldt
- Department of Population Sciences, City of Hope Beckman Research Institute, Duarte, CA, 91010, USA
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27599, USA
| |
Collapse
|
13
|
Yap YS. Outcomes in breast cancer-does ethnicity matter? ESMO Open 2023; 8:101564. [PMID: 37290358 DOI: 10.1016/j.esmoop.2023.101564] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 06/10/2023] Open
Abstract
Ethnic or racial differences in breast cancer (BC) survival outcomes have been reported, but current data are largely restricted to comparisons between African Americans and non-Hispanic whites. Most analyses have traditionally been based on self-reported race which may not always be accurate, or are oversimplified in their classification. With increasing globalization, quantification of the genetic ancestry from genomic data may offer a solution to infer the complex makeup from admixture of races. Focusing on the larger and the latest studies, we will discuss recent findings on the differing host and tumor biology that may be driving these disparities, in addition to the extrinsic environmental or lifestyle factors. Socioeconomic disparities with lower cancer literacy may lead to late presentation, poorer adherence to treatment, and other lifestyle factors such as unhealthy diet, obesity, and inadequate physical activity. These hardships may also result in greater allostatic load, which is in turn associated with aggressive BC features in disadvantaged populations. Epigenetic reprogramming may mediate the effects of the environment or lifestyle factors on gene expression, with ensuing differences in BC characteristics and outcome. There is increasing evidence that germline genetics can influence somatic gene alterations or expression, as well as modulate the tumor or immune microenvironment. Although the precise mechanisms remain elusive, this may account for the varying distribution of different BC subtypes across ethnicities. These gaps in our knowledge highlight the need to interrogate the multiomics landscape of BC in diverse populations, ideally in large-scale collaborative settings with standardized methodology for the comparisons to be statistically robust. Together with improving BC awareness and access to good quality health care, a holistic approach with insights of the biological underpinnings is much needed to eradicate ethnic disparities in BC outcomes.
Collapse
Affiliation(s)
- Y-S Yap
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Oncology Academic Clinical Programme, Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore.
| |
Collapse
|
14
|
Rommasi F. Identification, characterization, and prognosis investigation of pivotal genes shared in different stages of breast cancer. Sci Rep 2023; 13:8447. [PMID: 37231064 DOI: 10.1038/s41598-023-35318-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023] Open
Abstract
One of the leading causes of death (20.1 per 100,000 women per year), breast cancer is the most prevalent cancer in females. Statistically, 95% of breast cancer are categorized as adenocarcinomas, and 55% of all patients may go into invasive phases; however, it can be successfully treated in approximately 70-80% of cases if diagnosed in the nascent stages. The emergence of breast tumor cells which are intensely resistant to conventional therapies, along with the high rate of metastasis occurrence, has highlighted the importance of finding novel strategies and treatments. One of the most advantageous schemes to alleviate this complication is to identify the common differentially expressed genes (DEGs) among primary and metastatic cancerous cells to use resultants for designing new therapeutic agents which are able to target both primary and metastatic breast tumor cells. In this study, the gene expression dataset with accession number GSE55715 was analyzed containing two primary tumor samples, three bone-metastatic samples, and three normal samples to distinguish the up- and down regulated genes in each stage compared to normal cells as control. In the next step, the common upregulated genes between the two experimental groups were detected by Venny online tool. Moreover, gene ontology, functions and pathways, gene-targeting microRNA, and influential metabolites were determined using EnrichR 2021 GO, KEGG pathways miRTarbase 2017, and HMDB 2021, respectively. Furthermore, elicited from STRING protein-protein interaction networks were imported to Cytoscape software to identify the hub genes. Then, identified hub genes were checked to validate the study using oncological databases. The results of the present article disclosed 1263 critical common DEGs (573 upregulated + 690 downregulated), including 35 hub genes that can be broadly used as new targets for cancer treatment and as biomarkers for cancer detection by evaluation of expression level. Besides, this study opens a new horizon to reveal unknown aspects of cancer signaling pathways by providing raw data evoked from in silico experiments. This study's outcomes can also be widely utilized in further lab research since it contains diverse information on common DEGs of varied stages and metastases of breast cancer, their functions, structures, interactions, and associations.
Collapse
Affiliation(s)
- Foad Rommasi
- Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
| |
Collapse
|
15
|
Zhang X, Gunda A, Kranenbarg EMK, Liefers GJ, Savitha BA, Shrivastava P, Serkad CPVK, Kaur T, Eshwaraiah MS, Tollenaar RAEM, van de Velde CJH, Seynaeve CMJ, Bakre M, Kuppen PJK. Ten-year distant-recurrence risk prediction in breast cancer by CanAssist Breast (CAB) in Dutch sub-cohort of the randomized TEAM trial. Breast Cancer Res 2023; 25:40. [PMID: 37060036 PMCID: PMC10103430 DOI: 10.1186/s13058-023-01643-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/30/2023] [Indexed: 04/16/2023] Open
Abstract
BACKGROUND Hormone receptor (HR)-positive, HER2/neu-negative breast cancers have a sustained risk of recurrence up to 20 years from diagnosis. TEAM (Tamoxifen, Exemestane Adjuvant Multinational) is a large, multi-country, phase III trial that randomized 9776 women for the use of hormonal therapy. Of these 2754 were Dutch patients. The current study aims for the first time to correlate the ten-year clinical outcomes with predictions by CanAssist Breast (CAB)-a prognostic test developed in South East Asia, on a Dutch sub-cohort that participated in the TEAM. The total Dutch TEAM cohort and the current Dutch sub-cohort were almost similar with respect to patient age and tumor anatomical features. METHODS Of the 2754 patients from the Netherlands, which are part of the original TEAM trial, 592 patients' samples were available with Leiden University Medical Center (LUMC). The risk stratification of CAB was correlated with outcomes of patients using logistic regression approaches entailing Kaplan-Meier survival curves, univariate and multivariate cox-regression hazards model. We used hazard ratios (HRs), the cumulative incidence of distant metastasis/death due to breast cancer (DM), and distant recurrence-free interval (DRFi) for assessment. RESULTS Out of 433 patients finally included, the majority, 68.4% had lymph node-positive disease, while only a minority received chemotherapy (20.8%) in addition to endocrine therapy. CAB stratified 67.5% of the total cohort as low-risk [DM = 11.5% (95% CI, 7.6-15.2)] and 32.5% as high-risk [DM = 30.2% (95% CI, 21.9-37.6)] with an HR of 2.90 (95% CI, 1.75-4.80; P < 0.001) at ten years. CAB risk score was an independent prognostic factor in the consideration of clinical parameters in multivariate analysis. At ten years, CAB high-risk had the worst DRFi of 69.8%, CAB low-risk in the exemestane monotherapy arm had the best DRFi of 92.7% [vs CAB high-risk, HR, 0.21 (95% CI, 0.11-0.43), P < 0.001], and CAB low-risk in the sequential arm had a DRFi of 84.2% [vs CAB high-risk, HR, 0.48 (95% CI, 0.28-0.82), P = 0.009]. CONCLUSIONS Cost-effective CAB is a statistically robust prognostic and predictive tool for ten-year DM for postmenopausal women with HR+/HER2-, early breast cancer. CAB low-risk patients who received exemestane monotherapy had an excellent ten-year DRFi.
Collapse
Affiliation(s)
- Xi Zhang
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Aparna Gunda
- OncoStem Diagnostics Pvt Ltd, #4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, 560027, India
| | | | - Gerrit-Jan Liefers
- Geriatric Oncology Research Group, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | | | - Payal Shrivastava
- OncoStem Diagnostics Pvt Ltd, #4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, 560027, India
| | | | - Taranjot Kaur
- OncoStem Diagnostics Pvt Ltd, #4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, 560027, India
| | | | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Cornelis J H van de Velde
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | | | - Manjiri Bakre
- OncoStem Diagnostics Pvt Ltd, #4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, 560027, India.
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.
| |
Collapse
|
16
|
Richardson A, Darst B, Wojcik G, Wagle N, Haricharan S. Research Silos in Cancer Disparities: Obstacles to Improving Clinical Outcomes for Underserved Patient Populations. Clin Cancer Res 2023; 29:1194-1199. [PMID: 36638200 PMCID: PMC10073283 DOI: 10.1158/1078-0432.ccr-22-3182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/08/2022] [Accepted: 01/11/2023] [Indexed: 01/15/2023]
Abstract
Despite much vaunted progress in cancer therapeutics and diagnostics, outcomes for many groups of non-White patients with cancer remain worse than those for their White compatriots. One reason for this is the lack of inclusion and representation of non-White patients in clinical trials, preclinical datasets, and among researchers, a shortfall that is gaining wide recognition within the cancer research community and the lay public. Several reviews and editorials have commented on the negative impacts of the status quo on progress in cancer research toward medical breakthroughs that help all communities and not just White patients with cancer. In this perspective, we describe the existence of research silos focused either on the impact of socioeconomic factors proceeding from systemic racism on cancer outcomes, or on genetic ancestry as it affects the molecular biology of cancer developing in specific patient populations. While both these research areas are critical for progress toward precision medicine equity, breaking down these silos will help us gain an integrated understanding of how race and racism impact cancer development, progression, and patient outcomes. Bringing this comprehensive approach to cancer disparities research will undoubtedly improve our overall understanding of how stress and environmental factors affect the molecular biology of cancer, which will lead to the development of new diagnostics and therapeutics that are applicable across cancer patient demographics.
Collapse
Affiliation(s)
| | - Burcu Darst
- Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA
| | - Genevieve Wojcik
- Dept of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Nikhil Wagle
- Dept of Medicine, Harvard Medical School, Boston, MA
- Dana-Farber Cancer Institute, Boston, MA
| | - Svasti Haricharan
- Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| |
Collapse
|
17
|
Guttà C, Morhard C, Rehm M. Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer. PLoS Comput Biol 2023; 19:e1011035. [PMID: 37011102 PMCID: PMC10101642 DOI: 10.1371/journal.pcbi.1011035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 04/13/2023] [Accepted: 03/17/2023] [Indexed: 04/05/2023] Open
Abstract
Established prognostic tests based on limited numbers of transcripts can identify high-risk breast cancer patients, yet are approved only for individuals presenting with specific clinical features or disease characteristics. Deep learning algorithms could hold potential for stratifying patient cohorts based on full transcriptome data, yet the development of robust classifiers is hampered by the number of variables in omics datasets typically far exceeding the number of patients. To overcome this hurdle, we propose a classifier based on a data augmentation pipeline consisting of a Wasserstein generative adversarial network (GAN) with gradient penalty and an embedded auxiliary classifier to obtain a trained GAN discriminator (T-GAN-D). Applied to 1244 patients of the METABRIC breast cancer cohort, this classifier outperformed established breast cancer biomarkers in separating low- from high-risk patients (disease specific death, progression or relapse within 10 years from initial diagnosis). Importantly, the T-GAN-D also performed across independent, merged transcriptome datasets (METABRIC and TCGA-BRCA cohorts), and merging data improved overall patient stratification. In conclusion, the reiterative GAN-based training process allowed generating a robust classifier capable of stratifying low- vs high-risk patients based on full transcriptome data and across independent and heterogeneous breast cancer cohorts.
Collapse
Affiliation(s)
- Cristiano Guttà
- Institute of Cell Biology and Immunology, University of Stuttgart, Stuttgart, Germany
| | | | - Markus Rehm
- Institute of Cell Biology and Immunology, University of Stuttgart, Stuttgart, Germany
- Stuttgart Research Center Systems Biology, University of Stuttgart, Stuttgart, Germany
| |
Collapse
|
18
|
Jinna N, Van Alsten S, Rida P, Seewaldt V, Troester M. Molecular Features of Androgen-Receptor Low, Estrogen Receptor-Negative Breast Cancers in the Carolina Breast Cancer Study. RESEARCH SQUARE 2023:rs.3.rs-2693555. [PMID: 36993425 PMCID: PMC10055609 DOI: 10.21203/rs.3.rs-2693555/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
PURPOSE Androgen receptor (AR) expression is absent in 40-90% of estrogen receptor (ER)-negative breast cancers. The prognostic value of AR in ER-negative patients and therapeutic targets for patients absent in AR remains poorly explored. METHODS We used an RNA-based multigene classifier to identify AR-low and AR-high ER-negative participants in the Carolina Breast Cancer Study (CBCS; n=669) and The Cancer Genome Atlas (TCGA; n=237). We compared AR-defined subgroups by demographics, tumor characteristics, and established molecular signatures [PAM50 risk of recurrence (ROR), homologous recombination deficiency (HRD), and immune response]. RESULTS AR-low tumors were more prevalent among Black (relative frequency difference (RFD) = +7%, 95% CI = 1% to 14%) and younger (RFD = +10%, 95% CI = 4% to 16%) participants in CBCS and were associated with HER2-negativity (RFD = -35%, 95% CI = -44% to -26%), higher grade (RFD = +17%, 95% CI = 8% to 26%), and higher risk of recurrence scores (RFD = +22%, 95% CI = 16.1% to 28%), with similar results in TCGA. The AR-low subgroup was strongly associated with HRD in CBCS (RFD = +33.3%, 95% CI = 23.8% to 43.2%) and TCGA (RFD = +41.5%, 95% CI = 34.0% to 48.6%). In CBCS, AR-low tumors had high adaptive immune marker expression. CONCLUSION Multigene, RNA-based low AR expression is associated with aggressive disease characteristics as well as DNA repair defects and immune phenotypes, suggesting plausible precision therapies for AR-low, ER-negative patients.
Collapse
Affiliation(s)
| | | | | | | | - Melissa Troester
- UNC-Chapel Hill: The University of North Carolina at Chapel Hill
| |
Collapse
|
19
|
Dix-Peek T, Phakathi BP, van den Berg EJ, Dickens C, Augustine TN, Cubasch H, Neugut AI, Jacobson JS, Joffe M, Ruff P, Duarte RAB. Discordance between PAM50 intrinsic subtyping and immunohistochemistry in South African women with breast cancer. Breast Cancer Res Treat 2023; 199:1-12. [PMID: 36867282 PMCID: PMC10147771 DOI: 10.1007/s10549-023-06886-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 02/03/2023] [Indexed: 03/04/2023]
Abstract
PURPOSE Breast cancer is a heterogeneous disease with different gene expression profiles, treatment options and outcomes. In South Africa, tumors are classified using immunohistochemistry. In high-income countries multiparameter genomic assays are being utilized with implications for tumor classification and treatment. METHODS In a cohort of 378 breast cancer patients from the SABCHO study, we investigated the concordance between tumor samples classified by IHC and the PAM50 gene assay. RESULTS IHC classified patients as ER-positive (77.5%), PR-positive (70.6%), and HER2-positive (32.3%). These results, together with Ki67, were used as surrogates for intrinsic subtyping, and showed 6.9% IHC-A-clinical, 72.7% IHC-B-clinical, 5.3% IHC-HER2-clinical and 15.1% triple negative cancer (TNC). Typing using the PAM50 gave 19.3% luminal-A, 32.5% luminal-B, 23.5% HER2-enriched and 24.6% basal-like. The basal-like and TNC had the highest concordance, while the luminal-A and IHC-A group had the lowest concordance. By altering the cutoff for Ki67, and realigning the HER2/ER/PR-positive patients to IHC-HER2, we improved concordance with the intrinsic subtypes. CONCLUSION We suggest that the Ki67 be changed to a cutoff of 20-25% in our population to better reflect the luminal subtype classifications. This change would inform treatment options for breast cancer patients in settings where genomic assays are unaffordable.
Collapse
Affiliation(s)
- Thérèse Dix-Peek
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Johannesburg, 2193, South Africa.
| | - Boitumelo P Phakathi
- Department of Surgery, School of Clinical Medicine, Faculty of Health Sciences, University of Kwa-Zulu Natal, Durban, 4001, South Africa.,Department of Surgery, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Johannesburg, 2193, South Africa
| | - Eunice J van den Berg
- Department of Histopathology, National Health Laboratory Service, Chris Hani Baragwanath Hospital, 26 Chris Hani Road, Diepkloof, Johannesburg, 1864, South Africa.,Department of Anatomical Pathology, University of the Witwatersrand, 7 York Road, Johannesburg, 2193, South Africa
| | - Caroline Dickens
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Johannesburg, 2193, South Africa
| | - Tanya N Augustine
- School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa
| | - Herbert Cubasch
- Batho Pele Breast Unit, Chris Hani Baragwanath Academic Hospital, 26 Chris Hani Road, Diepkloof, Soweto, 1860, South Africa.,SA MRC Common Epithelial Cancer Research Centre, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
| | - Alfred I Neugut
- Herbert Irving Comprehensive Cancer Centre, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Judith S Jacobson
- Herbert Irving Comprehensive Cancer Centre, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Maureen Joffe
- SA MRC Common Epithelial Cancer Research Centre, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.,Strengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
| | - Paul Ruff
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Johannesburg, 2193, South Africa.,SA MRC Common Epithelial Cancer Research Centre, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
| | - Raquel A B Duarte
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Johannesburg, 2193, South Africa
| |
Collapse
|
20
|
Lovejoy LA, Shriver CD, Haricharan S, Ellsworth RE. Survival Disparities in US Black Compared to White Women with Hormone Receptor Positive-HER2 Negative Breast Cancer. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2903. [PMID: 36833598 PMCID: PMC9956998 DOI: 10.3390/ijerph20042903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
Black women in the US have significantly higher breast cancer mortality than White women. Within biomarker-defined tumor subtypes, disparate outcomes seem to be limited to women with hormone receptor positive and HER2 negative (HR+/HER2-) breast cancer, a subtype usually associated with favorable prognosis. In this review, we present data from an array of studies that demonstrate significantly higher mortality in Black compared to White women with HR+/HER2-breast cancer and contrast these data to studies from integrated healthcare systems that failed to find survival differences. Then, we describe factors, both biological and non-biological, that may contribute to disparate survival in Black women.
Collapse
Affiliation(s)
- Leann A. Lovejoy
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Craig D. Shriver
- Murtha Cancer Center/Research Program, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
- Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD 20889, USA
| | - Svasti Haricharan
- Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Rachel E. Ellsworth
- Murtha Cancer Center/Research Program, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| |
Collapse
|
21
|
Islam D, Islam MS, Dorin SI, Jesmin. Prevalence of Breast Cancer Subtypes Among Different Ethnicities and Bangladeshi Women: Demographic, Clinicopathological, and Integrated Cancer Informatics Analysis. Cancer Inform 2023; 22:11769351221148584. [PMID: 36684416 PMCID: PMC9850134 DOI: 10.1177/11769351221148584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 12/13/2022] [Indexed: 01/19/2023] Open
Abstract
Background The molecular subtyping of breast cancer is related to estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). The present study aimed to systematically analyze the expression, function, and prognostic value of ER, PR, HER2, and their prevalence in different ethnic groups and among Bangladeshi breast cancer (BC) patients. Method This study included 25 BC patients and 25 healthy controls, aged between 25 and 70 years. The study characteristics were compared using the ANOVA and Chi-square tests. Also, the multi-Omics dataset of 775 BC patients from TCGA was analyzed for ER, PR, and HER2 in breast cancer subtypes and compared among different ethnicities. Results For most BD breast cancer cases, the age at diagnosis was ⩾40 years, had only a histopathological diagnosis (P-value .004), and no history of mammography or other pathological tests. For treatment, had only chemotherapy (P-value .004) and no hormone therapy (P-value <.001). The majority of patients (>60%) were of stage-II cancer and TNBC (40%) subtype. The BC ethnicity-stratified data of ER, PR, and HER2 indicated a strong correlation across all ethnicities (P-value 4.99e-35; P-value 3.79e-18). The subtypes stratified data indicated a higher percentage of Luminal A (58.3%) in Caucasians whereas Luminal B (24.3%) and HER2 (25.2%) subtypes were found higher in Asians and TNBC (36.0%) were found in Africans. However, a significantly higher frequency of TNBC (52.2%) compared to Asians (14.8%) was found in BD patients (P-value <.001). The overall survival analysis of BC subtypes demonstrated that Luminal B (P-value .005) and HER2 enriched (P-value .015) were significantly more aggressive and were dominant in the Asian population. Conclusion A significant association was found between BC subtypes with different ethnicities and Bangladeshi women and these findings might aid in the prevention, management, and raising of awareness against risk factors in the near future.
Collapse
Affiliation(s)
- Diganta Islam
- Department of Genetic Engineering &
Biotechnology, University of Dhaka, Dhaka, Bangladesh
| | - Md. Shihabul Islam
- Department of Genetic Engineering &
Biotechnology, University of Rajshahi, Rajshahi, Bangladesh
| | - Sanjida Islam Dorin
- Department of Genetic Engineering &
Biotechnology, University of Dhaka, Dhaka, Bangladesh
| | - Jesmin
- Department of Genetic Engineering &
Biotechnology, University of Dhaka, Dhaka, Bangladesh,Jesmin, Department of Genetic Engineering
& Biotechnology, University of Dhaka, Dhaka-1000, Bangladesh.
| |
Collapse
|
22
|
Baranda JC, Diaz FJ, Rubinstein L, Shields AF, Dayyani F, Mehta A, Mehnert JM, Trent J, Mabaera R, Mooney M, Moscow JA, Doroshow J, Waters B, Ivy P, Gore SD, Thomas A. Expanding access to early phase trials: the CATCH-UP.2020 experience. JNCI Cancer Spectr 2023; 7:pkac087. [PMID: 36525371 PMCID: PMC9825762 DOI: 10.1093/jncics/pkac087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 09/01/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Disparities in cancer outcomes persist for underserved populations; one important aspect of this is limited access to promising early phase clinical trials. To address this, the National Cancer Institute-funded Create Access to Targeted Cancer Therapy for Underserved Populations (CATCH-UP.2020) was created. We report the tools developed and accrual metrics of the initial year of CATCH-UP.2020 with a focus on racial, ethnic, geographic, and socioeconomically underserved populations. METHODS CATCH-UP.2020 is a P30 supplement awarded to 8 National Cancer Institute-designated cancer centers with existing resources to rapidly open and accrue to Experimental Therapeutics Clinical Trials Network (ETCTN) trials with emphasis on engaging patients from underserved populations. Sites used patient-based, community-based, investigator-based, and program-based tools to meet specific program goals. RESULTS From September 2020 to August 2021, CATCH-UP.2020 sites opened 45 ETCTN trials. Weighted average trial activation time for the 7 sites reporting this was 107 days. In the initial year, sites enrolled 145 patients in CATCH-UP.2020 with 68 (46.9%) representing racial, ethnic, rural, and socioeconomically underserved populations using the broader definition of underserved encompassed in the grant charge. During the initial year of CATCH-UP.2020, a time impacted by the COVID-19 pandemic, 15.8% (66 of 417) and 21.4% (31 of 145) of patients enrolled to ETCTN trials at network and at CATCH-UP sites, respectively, were from racial and ethnic minority groups, a more limited definition of underserved for which comparable data are available. CONCLUSION Targeted funding accelerated activation and accrual of early phase trials and expanded access to this therapeutic option for underserved populations.
Collapse
Affiliation(s)
- Joaquina C Baranda
- Department of Medical Oncology, University of Kansas Cancer Center, Kansas City, KS, USA
| | - Francisco J Diaz
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA
| | - Larry Rubinstein
- National Cancer Institute, Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, Investigational Drug Branch, Bethesda, MD, USA
| | - Anthony F Shields
- Department of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Farshid Dayyani
- Division of Hematology/Oncology, Department of Internal Medicine, Chao Family Comprehensive Cancer Center-University of California Irvine, Irvine, CA, USA
| | - Amitkumar Mehta
- Division of Hematology and Oncology, Department of Internal Medicine, O’Neal Comprehensive Cancer Center-University of Alabama at Birmingham, Birmingham, AL, USA
| | - Janice M Mehnert
- Department of Internal Medicine, Perlmutter Cancer Center of NYU Langone, NYU Grossman School of Medicine, New York, NY, USA
| | - Jonathan Trent
- Department of Internal Medicine, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Rodwell Mabaera
- Section of Medical Oncology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Margaret Mooney
- National Cancer Institute, Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, Investigational Drug Branch, Bethesda, MD, USA
| | - Jeffrey A Moscow
- National Cancer Institute, Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, Investigational Drug Branch, Bethesda, MD, USA
| | - James Doroshow
- National Cancer Institute, Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, Investigational Drug Branch, Bethesda, MD, USA
| | - Brittany Waters
- National Cancer Institute, Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, Investigational Drug Branch, Bethesda, MD, USA
| | - Percy Ivy
- National Cancer Institute, Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, Investigational Drug Branch, Bethesda, MD, USA
| | - Steven D Gore
- National Cancer Institute, Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, Investigational Drug Branch, Bethesda, MD, USA
| | - Alexandra Thomas
- Department of Internal Medicine, Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| |
Collapse
|
23
|
Walens A, Van Alsten SC, Olsson LT, Smith MA, Lockhart A, Gao X, Hamilton AM, Kirk EL, Love MI, Gupta GP, Perou CM, Vaziri C, Hoadley KA, Troester MA. RNA-Based Classification of Homologous Recombination Deficiency in Racially Diverse Patients with Breast Cancer. Cancer Epidemiol Biomarkers Prev 2022; 31:2136-2147. [PMID: 36129803 PMCID: PMC9720427 DOI: 10.1158/1055-9965.epi-22-0590] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/03/2022] [Accepted: 09/14/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Aberrant expression of DNA repair pathways such as homologous recombination (HR) can lead to DNA repair imbalance, genomic instability, and altered chemotherapy response. DNA repair imbalance may predict prognosis, but variation in DNA repair in diverse cohorts of breast cancer patients is understudied. METHODS To identify RNA-based patterns of DNA repair expression, we performed unsupervised clustering on 51 DNA repair-related genes in the Cancer Genome Atlas Breast Cancer [TCGA BRCA (n = 1,094)] and Carolina Breast Cancer Study [CBCS (n = 1,461)]. Using published DNA-based HR deficiency (HRD) scores (high-HRD ≥ 42) from TCGA, we trained an RNA-based supervised classifier. Unsupervised and supervised HRD classifiers were evaluated in association with demographics, tumor characteristics, and clinical outcomes. RESULTS : Unsupervised clustering on DNA repair genes identified four clusters of breast tumors, with one group having high expression of HR genes. Approximately 39.7% of CBCS and 29.3% of TCGA breast tumors had this unsupervised high-HRD (U-HRD) profile. A supervised HRD classifier (S-HRD) trained on TCGA had 84% sensitivity and 73% specificity to detect HRD-high samples. Both U-HRD and S-HRD tumors in CBCS had higher frequency of TP53 mutant-like status (45% and 41% enrichment) and basal-like subtype (63% and 58% enrichment). S-HRD high was more common among black patients. Among chemotherapy-treated participants, recurrence was associated with S-HRD high (HR: 2.38, 95% confidence interval = 1.50-3.78). CONCLUSIONS HRD is associated with poor prognosis and enriched in the tumors of black women. IMPACT RNA-level indicators of HRD are predictive of breast cancer outcomes in diverse populations.
Collapse
Affiliation(s)
- Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Sarah C. Van Alsten
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Linnea T. Olsson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Markia A. Smith
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Alex Lockhart
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Xiaohua Gao
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Alina M. Hamilton
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Erin L. Kirk
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Michael I. Love
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Gaorav P. Gupta
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Charles M. Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Cyrus Vaziri
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Katherine A. Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Melissa A. Troester
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| |
Collapse
|
24
|
Beltran-Bless AA, Ng TL. Race, ethnicity, and clinical outcomes in hormone receptor-positive, human epidermal growth factor 2 negative (HER2-), node negative breast cancer in the randomized TAILORx trial: gaps in biologic and social determinants of health. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:1416. [PMID: 36660702 PMCID: PMC9843404 DOI: 10.21037/atm-2022-59] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 10/19/2022] [Indexed: 11/23/2022]
Affiliation(s)
- Ana-Alicia Beltran-Bless
- Division of Medical Oncology, Department of Medicine, The Ottawa Hospital Cancer Centre and the University of Ottawa, Ottawa, ON, Canada
| | - Terry L Ng
- Division of Medical Oncology, Department of Medicine, The Ottawa Hospital Cancer Centre and the University of Ottawa, Ottawa, ON, Canada
| |
Collapse
|
25
|
Menikdiwela KR, Kahathuduwa C, Bolner ML, Rahman RL, Moustaid-Moussa N. Association between Obesity, Race or Ethnicity, and Luminal Subtypes of Breast Cancer. Biomedicines 2022; 10:biomedicines10112931. [PMID: 36428500 PMCID: PMC9687751 DOI: 10.3390/biomedicines10112931] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 11/05/2022] [Accepted: 11/08/2022] [Indexed: 11/17/2022] Open
Abstract
Luminal breast cancers are the most common genomic subtype of breast cancers where Luminal A cancers have a better prognosis than Luminal B. Exposure to sex steroids and inflammatory status due to obesity are key contributors of Luminal tumor development. In this study, 1928 patients with Luminal A breast cancer and 1610 patients with Luminal B breast cancer were compared based on body mass index (BMI), age, race, menopausal status, and expressed receptors (i.e., estrogen (ER), progesterone (PR), and human epidermal growth factor receptor 2 (HER2)). Patients with Luminal B tumors had a significantly higher mean BMI (Δ = 0.69 kgm−2 [0.17, 1.21], p = 0.010) versus Luminal A. Interestingly, the risks of Luminal B tumors were higher among Black/African American patients versus White and Hispanic patients (p < 0.001 and p = 0.001, respectively). When controlled for each other, Black/African American race (p < 0.001) and increased BMI (p = 0.008) were associated with increased risks of Luminal B carcinoma, while postmenopausal status was associated with a decreased risk (p = 0.028). Increased BMI partially mediated the strong association between Black/African American race and the risk of Luminal B carcinoma. Thus, Black/African American race along with obesity seem to be associated with an increased risk of more aggressive Luminal B breast carcinomas.
Collapse
Affiliation(s)
- Kalhara R. Menikdiwela
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX 79409, USA
- Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA
| | - Chanaka Kahathuduwa
- Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA
- Department of Psychiatry, School of Medicine, Texas Tech Health Sciences Center, Lubbock, TX 79430, USA
| | | | - Rakhshanda Layeequr Rahman
- Breast Cancer Center of Excellence, Texas Tech Health Sciences Center, Lubbock, TX 79430, USA
- Correspondence: (R.L.R.); (N.M.-M.); Tel.: +1-806-743-2370 (R.L.R.); +1-806-834-7946 (N.M.-M.)
| | - Naima Moustaid-Moussa
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX 79409, USA
- Obesity Research Institute, Texas Tech University, Lubbock, TX 79409, USA
- Correspondence: (R.L.R.); (N.M.-M.); Tel.: +1-806-743-2370 (R.L.R.); +1-806-834-7946 (N.M.-M.)
| |
Collapse
|
26
|
Olsson LT, Walens A, Hamilton AM, Benefield HC, Fleming JM, Carey LA, Hursting SD, Williams KP, Troester MA. Obesity and Breast Cancer Metastasis across Genomic Subtypes. Cancer Epidemiol Biomarkers Prev 2022; 31:1944-1951. [PMID: 35973227 PMCID: PMC9628732 DOI: 10.1158/1055-9965.epi-22-0013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/12/2022] [Accepted: 08/01/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Obese women have higher risk of aggressive breast tumors and distant metastasis. However, obesity has rarely been assessed in association with metastasis in diverse populations. METHODS In the Carolina Breast Cancer Study Phase 3 (2008-2013), waist-to-hip ratio (WHR), body mass index (BMI), and molecular subtype [PAM50 risk-of-recurrence (ROR) score] were assessed. Obesity measures were evaluated in association with metastasis within five years of diagnosis, overall and stratified by race and ROR score. Absolute risk of metastasis and risk differences between strata were calculated using the Kaplan-Meier estimator, adjusted for age, grade, stage, race, and ER status. Relative frequency of metastatic site and multiplicity were estimated in association with obesity using generalized linear models. RESULTS High-WHR was associated with higher risk of metastasis (5-year risk difference, RD, 4.3%; 95% confidence interval, 2.2-6.5). It was also associated with multiple metastases and metastases at all sites except brain. The 5-year risk of metastasis differed by race (11.2% and 6.9% in Black and non-Black, respectively) and ROR score (19.5% vs. 6.6% in high vs. low-to-intermediate ROR-PT). Non-Black women and those with low-to-intermediate ROR scores had similar risk in high- and low-WHR strata. However, among Black women and those with high ROR, risk of metastasis was elevated among high-WHR (RDBlack/non-Black = 4.6%, RDHigh/Low-Int = 3.1%). Patterns of metastasis were similar by BMI. CONCLUSIONS WHR is associated with metastatic risk, particularly among Black women and those with high-risk tumors. IMPACT Understanding how risk factors for metastasis interact may help in tailoring care plans and surveillance among patients with breast cancer.
Collapse
Affiliation(s)
- Linnea T Olsson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Halei C Benefield
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jodie M Fleming
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, NC
| | - Lisa A Carey
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Stephen D Hursting
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kevin P Williams
- Biomanufacturing Research Institute and Technology Enterprise, North Carolina Central University, Durham, NC
- Co-senior authors
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Co-senior authors
| |
Collapse
|
27
|
Racial Disparity in Quadruple Negative Breast Cancer: Aggressive Biology and Potential Therapeutic Targeting and Prevention. Cancers (Basel) 2022; 14:cancers14184484. [PMID: 36139643 PMCID: PMC9497140 DOI: 10.3390/cancers14184484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/08/2022] [Accepted: 09/13/2022] [Indexed: 12/02/2022] Open
Abstract
Simple Summary Quadruple negative breast cancer (QNBC), a subgroup of triple negative BC, has emerged as a highly aggressive BC subtype that disproportionately afflicts and impacts Black/African-American (AA) women. In this article, we review molecular distinctions in Black/AA and White/European-American (EA) QNBC biology as well as address potential non-genetic risk factors that could be underlying this racially disparate burden. We aim to provide deeper insight and provide a framework for novel discovery of actionable therapeutic targets and identify lifestyle changes to improve outcomes for Black/AA QNBC patients. Abstract Black/African-American (AA) women, relative to their White/European-American (EA) counterparts, experience disproportionately high breast cancer mortality. Central to this survival disparity, Black/AA women have an unequal burden of aggressive breast cancer subtypes, such as triple-negative breast cancer (ER/PR-, HER2-wild type; TNBC). While TNBC has been well characterized, recent studies have identified a highly aggressive androgen receptor (AR)-negative subtype of TNBC, quadruple-negative breast cancer (ER/PR-, HER2-wildtype, AR-; QNBC). Similar to TNBC, QNBC disproportionately impacts Black/AA women and likely plays an important role in the breast cancer survival disparities experienced by Black/AA women. Here, we discuss the racial disparities of QNBC and molecular signaling pathways that may contribute to the aggressive biology of QNBC in Black/AA women. Our immediate goal is to spotlight potential prevention and therapeutic targets for Black/AA QNBC; ultimately our goal is to provide greater insight into reducing the breast cancer survival burden experienced by Black/AA women.
Collapse
|
28
|
Abstract
Triple negative breast cancer (TNBC) is characterized by the lack of estrogen and progesterone receptor expression and lacks HER2 overexpression or gene amplification. It accounts for 10–15% of incident breast cancers and carries the worst prognosis. TNBC is overrepresented among Black and pre-menopausal women and is associated with significant psychological and treatment-related burdens, including financial toxicity. Like other breast cancers, TNBC is biologically heterogeneous, leading to diverse clinical and epidemiological behaviors, however, unlike the other clinical subtypes, in TNBC we still lack tumor-specific targeted therapy. Early TNBC outcomes have improved due to the intensification of therapies, including improvements in polychemotherapy and the addition of immunotherapy. Future efforts are needed to identify targetable aberrations for specific drug therapy, prevent immune evasion, and increase social-economic support. Given that the name TNBC illustrates its lack of specifically targeted and effective therapy, we look forward to being able to retire the name in favor of a group of targetable entities within what is now called “TNBC”.
Collapse
|
29
|
Ming W, Zhu Y, Bai Y, Gu W, Li F, Hu Z, Xia T, Dai Z, Yu X, Li H, Gu Y, Yuan S, Zhang R, Li H, Zhu W, Ding J, Sun X, Liu Y, Liu H, Liu X. Radiogenomics analysis reveals the associations of dynamic contrast-enhanced–MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer. Front Oncol 2022; 12:943326. [PMID: 35965527 PMCID: PMC9366134 DOI: 10.3389/fonc.2022.943326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/29/2022] [Indexed: 11/17/2022] Open
Abstract
Background To investigate reliable associations between dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) features and gene expression characteristics in breast cancer (BC) and to develop and validate classifiers for predicting PAM50 subtypes and prognosis from DCE-MRI non-invasively. Methods Two radiogenomics cohorts with paired DCE-MRI and RNA-sequencing (RNA-seq) data were collected from local and public databases and divided into discovery (n = 174) and validation cohorts (n = 72). Six external datasets (n = 1,443) were used for prognostic validation. Spatial–temporal features of DCE-MRI were extracted, normalized properly, and associated with gene expression to identify the imaging features that can indicate subtypes and prognosis. Results Expression of genes including RBP4, MYBL2, and LINC00993 correlated significantly with DCE-MRI features (q-value < 0.05). Importantly, genes in the cell cycle pathway exhibited a significant association with imaging features (p-value < 0.001). With eight imaging-associated genes (CHEK1, TTK, CDC45, BUB1B, PLK1, E2F1, CDC20, and CDC25A), we developed a radiogenomics prognostic signature that can distinguish BC outcomes in multiple datasets well. High expression of the signature indicated a poor prognosis (p-values < 0.01). Based on DCE-MRI features, we established classifiers to predict BC clinical receptors, PAM50 subtypes, and prognostic gene sets. The imaging-based machine learning classifiers performed well in the independent dataset (areas under the receiver operating characteristic curve (AUCs) of 0.8361, 0.809, 0.7742, and 0.7277 for estrogen receptor (ER), human epidermal growth factor receptor 2 (HER2)-enriched, basal-like, and obtained radiogenomics signature). Furthermore, we developed a prognostic model directly using DCE-MRI features (p-value < 0.0001). Conclusions Our results identified the DCE-MRI features that are robust and associated with the gene expression in BC and displayed the possibility of using the features to predict clinical receptors and PAM50 subtypes and to indicate BC prognosis.
Collapse
Affiliation(s)
- Wenlong Ming
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Yanhui Zhu
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yunfei Bai
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Wanjun Gu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
- Collaborative Innovation Center of Jiangsu Province of Cancer Prevention and Treatment of Chinese Medicine, School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China
| | - Fuyu Li
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Zixi Hu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Tiansong Xia
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zuolei Dai
- Department of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiafei Yu
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huamei Li
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Yu Gu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Shaoxun Yuan
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Rongxin Zhang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Haitao Li
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Wenyong Zhu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Jianing Ding
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Xiao Sun
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Yun Liu
- Department of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Yun Liu, ; Hongde Liu, ; Xiaoan Liu,
| | - Hongde Liu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
- *Correspondence: Yun Liu, ; Hongde Liu, ; Xiaoan Liu,
| | - Xiaoan Liu
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Yun Liu, ; Hongde Liu, ; Xiaoan Liu,
| |
Collapse
|
30
|
Hamilton AM, Hurson AN, Olsson LT, Walens A, Nsonwu-Farley J, Kirk EL, Abdou Y, Downs-Canner SM, Serody JS, Perou CM, Calhoun BC, Troester MA, Hoadley KA. The Landscape of Immune Microenvironments in Racially Diverse Breast Cancer Patients. Cancer Epidemiol Biomarkers Prev 2022; 31:1341-1350. [PMID: 35437570 PMCID: PMC9292136 DOI: 10.1158/1055-9965.epi-21-1312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 03/01/2022] [Accepted: 04/12/2022] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Immunotherapy is a rapidly evolving treatment option in breast cancer; However, the breast cancer immune microenvironment is understudied in Black and younger (<50 years) patients. METHODS We used histologic and RNA-based immunoprofiling methods to characterize the breast cancer immune landscape in 1,952 tumors from the Carolina Breast Cancer Study (CBCS), a population-based study that oversampled Black (n = 1,030) and young women (n = 1,039). We evaluated immune response leveraging markers for 10 immune cell populations, compared profiles to those in The Cancer Genome Atlas (TCGA) Project [n = 1,095 tumors, Black (n = 183), and young women (n = 295)], and evaluated in association with clinical and demographic variables, including recurrence. RESULTS Consensus clustering identified three immune clusters in CBCS (adaptive-enriched, innate-enriched, or immune-quiet) that varied in frequency by race, age, tumor grade and subtype; however, only two clusters were identified in TCGA, which were predominantly comprised of adaptive-enriched and innate-enriched tumors. In CBCS, the strongest adaptive immune response was observed for basal-like, HER2-positive (HER2+), triple-negative breast cancer (TNBC), and high-grade tumors. Younger patients had higher proportions of adaptive-enriched tumors, particularly among estrogen receptor (ER)-negative (ER-) cases. Black patients had higher frequencies of both adaptive-enriched and innate-enriched tumors. Immune clusters were associated with recurrence among ER- tumors, with adaptive-enriched showing the best and innate-enriched showing the poorest 5-year recurrence-free survival. CONCLUSIONS These data suggest that immune microenvironments are intricately related to race, age, tumor subtype, and grade. IMPACT Given higher mortality among Black and young women, more defined immune classification using cell-type-specific panels could help explain higher recurrence and ultimately lead to targetable interventions.
Collapse
Affiliation(s)
- Alina M. Hamilton
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Amber N. Hurson
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Linnea T. Olsson
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Joseph Nsonwu-Farley
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Erin L. Kirk
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Yara Abdou
- Department of Medicine, Division of Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Stephanie M. Downs-Canner
- Department of Surgery, Division of Surgical Oncology and Endocrine Surgery, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA
| | - Jonathan S. Serody
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, 27599, USA
- Division of Hematology/Oncology, Department of Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Charles M. Perou
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Benjamin C. Calhoun
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Melissa A. Troester
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Katherine A. Hoadley
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| |
Collapse
|
31
|
Santamaria-Barria JA, Graff-Baker AN, Chang SC, Khader A, Scholer AJ, Garland-Kledzik M, Goldfarb M. Disparities in the impact of the AJCC 8th edition staging system on differentiated thyroid cancer outcomes. Head Neck 2022; 44:2129-2141. [PMID: 35766292 DOI: 10.1002/hed.27122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 05/15/2022] [Accepted: 06/01/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The impact of AJCC8 among self-reported racial/ethnic groups on differentiated thyroid cancer (DTC) outcomes is unknown. METHODS Multivariate-regression evaluated the association between AJCC7 to AJCC8 stage change and race/ethnicity in patients with DTC in the NCDB. Cox-proportional-regression evaluated whether AJCC7 to AJCC8 stage change affects overall survival (OS) differently based on reported race/ethnicity. RESULTS After adjusting for confounders, Hispanics and Asian-Pacific-Islanders (APIs) were 27% and 12% less likely to be down-staged compared to white-non-Hispanics (WNHs) (p < 0.001); black-non-Hispanics (BNHs) had no significant down-staging difference. Down-staged patients had an increased risk of death compared to patients with unchanged staging, regardless of race/ethnicity. However, based on two-way interaction, the magnitude of this negative change on survival from down-staging was only different between WNHs (HR = 2.64) and BNHs (HR = 1.77), (p = 0.04). CONCLUSIONS Outcome disparities persist among self-reported racial/ethnic groups with AJCC8. Down-staged patients across all racial/ethnic groups had decreased survival compared to those with unchanged stage, with the least impact in BNHs.
Collapse
Affiliation(s)
- Juan A Santamaria-Barria
- Department of Surgical Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, California, USA
| | | | - Shu-Ching Chang
- Medical Data Research Center, Providence St. Joseph Health, Portland, Oregon, USA
| | - Adam Khader
- Department of Surgical Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, California, USA
| | - Anthony J Scholer
- Department of Surgical Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, California, USA
| | - Mary Garland-Kledzik
- Department of Surgical Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, California, USA
| | - Melanie Goldfarb
- Department of Surgical Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, California, USA
| |
Collapse
|
32
|
Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA. Prognostic significance of RNA-based TP53 pathway function among estrogen receptor positive and negative breast cancer cases. NPJ Breast Cancer 2022; 8:74. [PMID: 35701440 PMCID: PMC9198049 DOI: 10.1038/s41523-022-00437-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 05/04/2022] [Indexed: 11/20/2022] Open
Abstract
TP53 and estrogen receptor (ER) are essential in breast cancer development and progression, but TP53 status (by DNA sequencing or protein expression) has been inconsistently associated with survival. We evaluated whether RNA-based TP53 classifiers are related to survival. Participants included 3213 women in the Carolina Breast Cancer Study (CBCS) with invasive breast cancer (stages I-III). Tumors were classified for TP53 status (mutant-like/wildtype-like) using an RNA signature. We used Cox proportional hazards models to estimate covariate-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for breast cancer-specific survival (BCSS) among ER- and TP53-defined subtypes. RNA-based results were compared to DNA- and IHC-based TP53 classification, as well as Basal-like versus non-Basal-like subtype. Findings from the diverse (50% Black), population-based CBCS were compared to those from the largely white METABRIC study. RNA-based TP53 mutant-like was associated with BCSS among both ER-negatives and ER-positives (HR (95% CI) = 5.38 (1.84-15.78) and 4.66 (1.79-12.15), respectively). Associations were attenuated when using DNA- or IHC-based TP53 classification. In METABRIC, few ER-negative tumors were TP53-wildtype-like, but TP53 status was a strong predictor of BCSS among ER-positives. In both populations, the effect of TP53 mutant-like status was similar to that for Basal-like subtype. RNA-based measures of TP53 status are strongly associated with BCSS and may have value among ER-negative cancers where few prognostic markers have been robustly validated. Given the role of TP53 in chemotherapeutic response, RNA-based TP53 as a prognostic biomarker could address an unmet need in breast cancer.
Collapse
Affiliation(s)
- Amber N Hurson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kathleen Conway
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michael I Love
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew F Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles M Perou
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| |
Collapse
|
33
|
Singhal SK, Byun JS, Yan T, Yancey R, Caban A, Gil Hernandez S, Bufford S, Hewitt SM, Winfield J, Pradhan JS, Mustkov V, McDonald JA, Pérez-Stable EJ, Napoles AM, Vohra N, De Siervi A, Yates C, Davis MB, Yang M, Tsai YC, Weissman AM, Gardner K. Protein expression of the gp78 E3-ligase predicts poor breast cancer outcome based on race. JCI Insight 2022; 7:157465. [PMID: 35639484 PMCID: PMC9310521 DOI: 10.1172/jci.insight.157465] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 05/20/2022] [Indexed: 11/17/2022] Open
Abstract
Women of African ancestry suffer higher rates of breast cancer mortality compared to all other groups in the United States. Though the precise reasons for these disparities remain unclear, many recent studies have implicated a role for differences in tumor biology. Using an epitope-validated antibody against the endoplasmic reticulum-associated degradation (ERAD) E3 ubiquitin ligase, gp78, we show that elevated levels of gp78 in patient breast cancer cells predict poor survival. Moreover, high levels of gp78 are associated with poor outcomes in both ER-positive and ER-negative tumors, and breast cancers expressing elevated amounts of gp78 protein are enriched in gene expression pathways that influence cell cycle, metabolism, receptor-mediated signaling, and cell stress response pathways. In multivariate analysis adjusted for subtype and grade, gp78 protein is an independent predictor of poor outcomes in women of African ancestry. Furthermore, gene expression signatures, derived from patients stratified by gp78 protein expression, are strong predictors of recurrence and pathological complete response in retrospective clinical trial data and share many common features with gene sets previously identified to be overrepresented in breast cancers based on race. These findings implicate a prominent role for gp78 in tumor progression and offer new insights into our understanding of racial differences in breast cancer outcomes.
Collapse
Affiliation(s)
- Sandeep K Singhal
- Department of Pathology, University of North Dakota, Grand Forks, United States of America
| | - Jung S Byun
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Tingfen Yan
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Ryan Yancey
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Ambar Caban
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Sara Gil Hernandez
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Sediqua Bufford
- Masters of Science Biotechnology, Morehouse School of Medicine, Atlanta, United States of America
| | - Stephen M Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, United States of America
| | - Joy Winfield
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Jaya Sarin Pradhan
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Vesco Mustkov
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Jasmine A McDonald
- Department of Epidemiology, Columbia University Medical Center, New York, United States of America
| | - Eliseo J Pérez-Stable
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Anna Maria Napoles
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Nasreen Vohra
- Brody School of Medicine, East Carolina University, Greenville, United States of America
| | - Adriana De Siervi
- Directora del Laboratorio de Oncología Molecular y Nuevos Blancos Terapéut, CONICET, Buenos Aiers, Argentina
| | - Clayton Yates
- Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, United States of America
| | - Melissa B Davis
- Department of Surgery (Breast Surgery & Oncology), Weill Cornell Medicine, New York, United States of America
| | - Mei Yang
- Laboratory of Protein Dynamics and Signaling, National Cancer Institute, Frederick, United States of America
| | - Yien Che Tsai
- Laboratory of Protein Dynamics and Signaling, National Cancer Institute, Frederick, United States of America
| | - Allan M Weissman
- Laboratory of Protein Dynamics and Signaling, National Cancer Institute, Frederick, United States of America
| | - Kevin Gardner
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| |
Collapse
|
34
|
Racial differences in predictive value of the 21-gene recurrence score assay: a population-based study using the SEER database. Breast Cancer 2022; 29:889-898. [PMID: 35616777 PMCID: PMC9385768 DOI: 10.1007/s12282-022-01371-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 05/06/2022] [Indexed: 11/22/2022]
Abstract
Purpose The 21-gene recurrence score (RS) assay is currently used for predicting chemotherapeutic benefits for hormone receptor-positive (HR +) early-stage breast cancer patients without consideration regarding racial differences in that predictive value. This study aimed at demonstrating racial differences in the predictive values of the 21-gene RS assay. Methods The study cohort was selected from the Surveillance, Epidemiology, and End Results (SEER) database. Breast cancer-specific mortality (BCSM) was compared between patients who received chemotherapy (the “CTx group”) and those who did not (the “no CTx group”) to estimate the predictive value of the assay. This comparison was repeated for each racial group. Results Among 88,498 T1 − 2N0 HR + breast cancer patients who had results of 21-gene RS, 13,123 patients had RS > 25, which included 10,697 Whites, 1282 Blacks, and 1,144 Asian Americans/Pacific Islanders (AAPIs). Chemotherapy was administered to 8364 patients (63.4%). The adjusted hazard ratio for BCSM in the CTx group (vs. no CTx group) was 0.734 (95% confidence interval [CI] 0.588–0.917) in Whites, 0.748 (95% CI 0.428–1.307) in Blacks, and 1.343 (95% CI 0.558–3.233) in AAPIs. No subgroup within patients with RS > 25 among non-White women showed a significant predictive value of the 21-gene RS assay, except for Black women with grade 3 tumors. Conclusion The predictive value of the 21-gene RS assay for assessing chemotherapy benefit was validated in White women based on the SEER database, although the predictive value was not warranted in non-White women. Supplementary Information The online version contains supplementary material available at 10.1007/s12282-022-01371-z.
Collapse
|
35
|
Olsson LT, Williams LA, Midkiff BR, Kirk EL, Troester MA, Calhoun BC. Quantitative analysis of breast cancer tissue composition and associations with tumor subtype. Hum Pathol 2022; 123:84-92. [PMID: 35218811 PMCID: PMC9050931 DOI: 10.1016/j.humpath.2022.02.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 02/06/2023]
Abstract
The tumor microenvironment is an important determinant of breast cancer progression, but standard methods for describing the tumor microenvironment are lacking. Measures of microenvironment composition such as stromal area and immune infiltrate are labor-intensive and few large studies have systematically collected this data. However, digital histologic approaches are becoming more widely available, allowing high-throughput, quantitative estimation. We applied such methods to tissue microarrays of tumors from 1687 women (mean 4 cores per case) in the Carolina Breast Cancer Study Phase 3. Tumor composition was quantified as percentage of epithelium, stroma, adipose, and lymphocytic infiltrate (with the latter as presence/absence using a ≥1% cutoff). Composition proportions and presence/absence were evaluated in association with clinical and molecular features of breast cancer (intrinsic subtype and RNA-based risk of recurrence [ROR] scores) using multivariable linear and logistic regression. Lower stromal content was associated with aggressive tumor phenotypes, including triple-negative (31.1% vs. 41.6% in HR+/HER2-; RFD [95% CI]: -10.5%, [-13.1, -7.9]), Basal-like subtypes (29.0% vs. 44.0% in Luminal A; RFD [95% CI]: -14.9%, [-17.8, -12.0]), and high RNA-based PAM50 ROR scores (27.6% vs. 48.1% in ROR low; RFD [95% CI]: -20.5%, [24.3, 16.7]), after adjusting for age and race. HER2+ tumors also had lower stromal content, particularly among RNA-based HER2-enriched (35.2% vs. 44.0% in Luminal A; RFD [95% CI]: -8.8%, [-13.8, -3.8]). Similar associations were observed between immune infiltrate and tumor phenotypes. Quantitative digital image analysis of the breast cancer microenvironment showed significant associations with demographic characteristics and biological indicators of aggressive behavior.
Collapse
Affiliation(s)
- Linnea T Olsson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Lindsay A Williams
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN, 55455, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Bentley R Midkiff
- Pathology Services Core, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Erin L Kirk
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Benjamin C Calhoun
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA.
| |
Collapse
|
36
|
Fassler DJ, Torre-Healy LA, Gupta R, Hamilton AM, Kobayashi S, Van Alsten SC, Zhang Y, Kurc T, Moffitt RA, Troester MA, Hoadley KA, Saltz J. Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression. Cancers (Basel) 2022; 14:2148. [PMID: 35565277 PMCID: PMC9105398 DOI: 10.3390/cancers14092148] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/09/2022] [Accepted: 04/15/2022] [Indexed: 12/15/2022] Open
Abstract
Tumor-infiltrating lymphocytes (TILs) have been established as a robust prognostic biomarker in breast cancer, with emerging utility in predicting treatment response in the adjuvant and neoadjuvant settings. In this study, the role of TILs in predicting overall survival and progression-free interval was evaluated in two independent cohorts of breast cancer from the Cancer Genome Atlas (TCGA BRCA) and the Carolina Breast Cancer Study (UNC CBCS). We utilized machine learning and computer vision algorithms to characterize TIL infiltrates in digital whole-slide images (WSIs) of breast cancer stained with hematoxylin and eosin (H&E). Multiple parameters were used to characterize the global abundance and spatial features of TIL infiltrates. Univariate and multivariate analyses show that large aggregates of peritumoral and intratumoral TILs (forests) were associated with longer survival, whereas the absence of intratumoral TILs (deserts) is associated with increased risk of recurrence. Patients with two or more high-risk spatial features were associated with significantly shorter progression-free interval (PFI). This study demonstrates the practical utility of Pathomics in evaluating the clinical significance of the abundance and spatial patterns of distribution of TIL infiltrates as important biomarkers in breast cancer.
Collapse
Affiliation(s)
- Danielle J. Fassler
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA; (D.J.F.); (L.A.T.-H.); (R.G.); (S.K.); (Y.Z.); (T.K.); (R.A.M.)
| | - Luke A. Torre-Healy
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA; (D.J.F.); (L.A.T.-H.); (R.G.); (S.K.); (Y.Z.); (T.K.); (R.A.M.)
| | - Rajarsi Gupta
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA; (D.J.F.); (L.A.T.-H.); (R.G.); (S.K.); (Y.Z.); (T.K.); (R.A.M.)
| | - Alina M. Hamilton
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (A.M.H.); (S.C.V.A.); (M.A.T.)
| | - Soma Kobayashi
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA; (D.J.F.); (L.A.T.-H.); (R.G.); (S.K.); (Y.Z.); (T.K.); (R.A.M.)
| | - Sarah C. Van Alsten
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (A.M.H.); (S.C.V.A.); (M.A.T.)
| | - Yuwei Zhang
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA; (D.J.F.); (L.A.T.-H.); (R.G.); (S.K.); (Y.Z.); (T.K.); (R.A.M.)
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA; (D.J.F.); (L.A.T.-H.); (R.G.); (S.K.); (Y.Z.); (T.K.); (R.A.M.)
| | - Richard A. Moffitt
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA; (D.J.F.); (L.A.T.-H.); (R.G.); (S.K.); (Y.Z.); (T.K.); (R.A.M.)
| | - Melissa A. Troester
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (A.M.H.); (S.C.V.A.); (M.A.T.)
| | - Katherine A. Hoadley
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11790, USA; (D.J.F.); (L.A.T.-H.); (R.G.); (S.K.); (Y.Z.); (T.K.); (R.A.M.)
| |
Collapse
|
37
|
Jones GS, Hoadley KA, Benefield H, Olsson LT, Hamilton AM, Bhattacharya A, Kirk EL, Tipaldos HJ, Fleming JM, Williams KP, Love MI, Nichols HB, Olshan AF, Troester MA. Racial differences in breast cancer outcomes by hepatocyte growth factor pathway expression. Breast Cancer Res Treat 2022; 192:447-455. [PMID: 35034243 PMCID: PMC9380654 DOI: 10.1007/s10549-021-06497-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/16/2021] [Indexed: 11/02/2022]
Abstract
PURPOSE Black women have a 40% increased risk of breast cancer-related mortality. These outcome disparities may reflect differences in tumor pathways and a lack of targetable therapies for specific subtypes that are more common in Black women. Hepatocyte growth factor (HGF) is a targetable pathway that promotes breast cancer tumorigenesis, is associated with basal-like breast cancer, and is differentially expressed by race. This study assessed whether a 38-gene HGF expression signature is associated with recurrence and survival in Black and non-Black women. METHODS Study participants included 1957 invasive breast cancer cases from the Carolina Breast Cancer Study. The HGF signature was evaluated in association with recurrence (n = 1251, 171 recurrences), overall, and breast cancer-specific mortality (n = 706, 190/328 breast cancer/overall deaths) using Cox proportional hazard models. RESULTS Women with HGF-positive tumors had higher recurrence rates [HR 1.88, 95% CI (1.19, 2.98)], breast cancer-specific mortality [HR 1.90, 95% CI (1.26, 2.85)], and overall mortality [HR 1.69; 95% CI (1.17, 2.43)]. Among Black women, HGF positivity was significantly associated with higher 5-year rate of recurrence [HR 1.73; 95% CI (1.01, 2.99)], but this association was not significant in non-Black women [HR 1.68; 95% CI (0.72, 3.90)]. Among Black women, HGF-positive tumors had elevated breast cancer-specific mortality [HR 1.80, 95% CI (1.05, 3.09)], which was not significant in non-Black women [HR 1.52; 95% CI (0.78, 2.99)]. CONCLUSION This multi-gene HGF signature is a poor-prognosis feature for breast cancer and may identify patients who could benefit from HGF-targeted treatments, an unmet need for Black and triple-negative patients.
Collapse
Affiliation(s)
- Gieira S Jones
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, 253 Rosenau Hall, CB #7435, 135 Dauer Drive, Chapel Hill, NC, 27599-7400, USA
| | - Katherine A Hoadley
- Department of Genetics, University of North Carolina-Chapel Hill-Chapel Hill, Chapel Hill, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
| | - Halei Benefield
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, 253 Rosenau Hall, CB #7435, 135 Dauer Drive, Chapel Hill, NC, 27599-7400, USA
| | - Linnea T Olsson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, 253 Rosenau Hall, CB #7435, 135 Dauer Drive, Chapel Hill, NC, 27599-7400, USA
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, University of North Carolina-Chapel Hill, Chapel Hill, USA
| | - Arjun Bhattacharya
- Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, USA
- Institute for Quantitative and Computational Biosciences, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Erin L Kirk
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, 253 Rosenau Hall, CB #7435, 135 Dauer Drive, Chapel Hill, NC, 27599-7400, USA
| | - Heather J Tipaldos
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
| | - Jodie M Fleming
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, USA
| | - Kevin P Williams
- Biomanufacturing Research Institute and Technology Enterprise, North Carolina Central University, Durham, USA
- Department of Pharmaceutical Sciences, North Carolina Central University, Durham, USA
| | - Michael I Love
- Department of Genetics, University of North Carolina-Chapel Hill-Chapel Hill, Chapel Hill, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
- Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, USA
| | - Hazel B Nichols
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, 253 Rosenau Hall, CB #7435, 135 Dauer Drive, Chapel Hill, NC, 27599-7400, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, 253 Rosenau Hall, CB #7435, 135 Dauer Drive, Chapel Hill, NC, 27599-7400, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, 253 Rosenau Hall, CB #7435, 135 Dauer Drive, Chapel Hill, NC, 27599-7400, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA.
| |
Collapse
|
38
|
A pooled case-only analysis of obesity and breast cancer subtype among Black women in the southeastern United States. Cancer Causes Control 2022; 33:515-524. [PMID: 35088206 PMCID: PMC9006670 DOI: 10.1007/s10552-021-01545-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 12/15/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE To evaluate the association between obesity and the relative prevalence of tumor subtypes among Black women with breast cancer (BC). METHODS We conducted a pooled case-only analysis of 1,793 Black women with invasive BC recruited through three existing studies in the southeastern US. Multivariable case-only polytomous logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between obesity, measured by pre-diagnostic body mass index (BMI), and human epidermal growth factor receptor 2 + (HER2 +) and triple negative BC (TNBC) subtype relative to hormone receptor (HR) + /HER2- status (referent). RESULTS Among 359 premenopausal women, 55.4% of cases were HR + /HER2 -, 20.1% were HER2 + , and 24.5% were TNBC; corresponding percentages among 1,434 postmenopausal women were 59.3%, 17.0%, and 23.6%. Approximately, 50-60% of both pre- and postmenopausal women were obese (BMI > 30 kg/m2), regardless of BC subtype. We did not observe a significant association between obesity and BC subtype. Among postmenopausal women, class I obesity (BMI 35 + kg/m2) was not associated with the development of HER2 + BC (OR 0.69; 95% CI 0.42-1.14) or TNBC (OR 0.93; 95% CI 0.60-1.45) relative to HR + /HER2- tumors. Corresponding estimates among premenopausal women were 1.03 (95% CI 0.43-2.48) and 1.13 (95% CI 0.48-2.64). CONCLUSION In this large study of Black women with BC, there was no evidence of heterogeneity of BMI by BC subtype.
Collapse
|
39
|
Pollock NC, Ramroop JR, Hampel H, Troester MA, Conway K, Hu JJ, Freudenheim JL, Olopade OI, Huo D, Ziv E, Neuhausen SL, Stevens P, McElroy JP, Toland AE. Differences in somatic TP53 mutation type in breast tumors by race and receptor status. Breast Cancer Res Treat 2022; 192:639-648. [PMID: 35286522 PMCID: PMC8960361 DOI: 10.1007/s10549-022-06509-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 01/02/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE Somatic driver mutations in TP53 are associated with triple-negative breast cancer (TNBC) and poorer outcomes. Breast cancers in women of African ancestry (AA) are more likely to be TNBC and have somatic TP53 mutations than cancers in non-Hispanic White (NHW) women. Missense driver mutations in TP53 have varied functional impact including loss-of-function (LOF) or gain-of-function (GOF) activity, and dominant negative (DNE) effects. We aimed to determine if there were differences in somatic TP53 mutation types by patient ancestry or TNBC status. METHODS We identified breast cancer datasets with somatic TP53 mutation data, ancestry, age, and hormone receptor status. Mutations were classified for functional impact using published data and type of mutation. We assessed differences using Fisher's exact test. RESULTS From 96 breast cancer studies, we identified 2964 women with somatic TP53 mutations: 715 (24.1%) Asian, 258 (8.7%) AA, 1931 (65.2%) NHW, and 60 (2%) Latina. The distribution of TP53 mutation type was similar by ancestry. However, 35.8% of tumors from NHW individuals had GOF mutations compared to 29% from AA individuals (p = 0.04). Mutations with DNE activity were positively associated with TNBC (OR 1.37, p = 0.03) and estrogen receptor (ER) negative status (OR 1.38; p = 0.005). CONCLUSIONS Somatic TP53 mutation types did not differ by ancestry overall, but GOF mutations were more common in NHW women than AA women. ER-negative and TNBC tumors are less likely to have DNE+ TP53 mutations which could reflect biological processes. Larger cohorts and functional studies are needed to further elucidate these findings.
Collapse
Affiliation(s)
- Nijole C Pollock
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Johnny R Ramroop
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Heather Hampel
- OSU Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.,Division of Human Genetics, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Melissa A Troester
- Department of Epidemiology and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kathleen Conway
- Department of Epidemiology and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer J Hu
- Department of Public Health Sciences, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, USA
| | - Jo L Freudenheim
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Olufunmilayo I Olopade
- Section of Hematology and Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Patrick Stevens
- Bioinformatics Shared Resource, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Joseph Paul McElroy
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Amanda Ewart Toland
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA. .,OSU Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA. .,Division of Human Genetics, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
| |
Collapse
|
40
|
Vohra SN, Walens A, Hamilton AM, Sherman ME, Schedin P, Nichols HB, Reeder-Hayes KE, Olshan AF, Love MI, Troester MA. Molecular and Clinical Characterization of Postpartum-Associated Breast Cancer in the Carolina Breast Cancer Study Phase I-III, 1993-2013. Cancer Epidemiol Biomarkers Prev 2022; 31:561-568. [PMID: 34810211 PMCID: PMC8901538 DOI: 10.1158/1055-9965.epi-21-0940] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/20/2021] [Accepted: 11/10/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Breast cancers in recently postpartum women may have worse outcomes, but studies examining tumor molecular features by pregnancy recency have shown conflicting results. METHODS This analysis used Carolina Breast Cancer Study data to examine clinical and molecular tumor features among women less than 50 years of age who were recently (≤10 years prior) or remotely (>10 years prior) postpartum, or nulliparous. Prevalence odds ratios (POR) and 95% confidence intervals (CI) were estimated using multivariable models. RESULTS Recently postpartum women (N = 618) were more frequently lymph node-positive [POR (95% CI): 1.66 (1.26-2.19)], estrogen receptor (ER)-negative [1.37 (1.02-1.83)], and IHC-based triple negative [1.57 (1.00-2.47)] compared with nulliparous (N = 360) women. Some differences were identified between recent versus remotely postpartum; smaller tumor size [0.67 (0.52-0.86)], p53 wildtype [0.53 (0.36-0.77)], and non-basal-like phenotype [0.53 (0.33-0.84)] were more common among recently postpartum. Recently postpartum (vs. nulliparous) had significant enrichment for adaptive immunity, T cells, B cells, CD8 T cells, activated CD8 T cells/natural killer (NK) cells, and T follicular helper (Tfh) cells and higher overall immune cell scores. These differences were attenuated in remotely (compared with recently) postpartum women. CONCLUSIONS These results suggest a dominant effect of parity (vs. nulliparity) and a lesser effect of pregnancy recency on tumor molecular features, although tumor immune microenvironments were altered in association with pregnancy recency. IMPACT Our study is unique in examining tumor immune microenvironment and RNA-based markers according to time since last childbirth. Future studies should examine the interplay between tumor features, postdiagnostic treatment, and outcomes among recently postpartum women. See related commentary by McDonald et al., p. 518.
Collapse
Affiliation(s)
- Sanah N. Vohra
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Andrea Walens
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Alina M. Hamilton
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Mark E. Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Pepper Schedin
- Department of Cell, Developmental and Cancer Biology, and The Knight Cancer Institute, University of Oregon Health & Science University, Portland, Oregon, United States of America
| | - Hazel B. Nichols
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Katherine E. Reeder-Hayes
- Division of Hematology/Oncology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Michael I. Love
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Melissa A. Troester
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| |
Collapse
|
41
|
Mazumder A, Jimenez A, Ellsworth RE, Freedland SJ, George S, Bainbridge MN, Haricharan S. The DNA damage repair landscape in Black women with breast cancer. Ther Adv Med Oncol 2022; 14:17588359221075458. [PMID: 35154416 PMCID: PMC8829704 DOI: 10.1177/17588359221075458] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 01/06/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Estrogen receptor positive (ER+) breast cancer is one of the most commonly diagnosed malignancies in women irrespective of their race or ethnicity. While Black women with ER+ breast cancer are 42% more likely to die of their disease than White women, molecular mechanisms underlying this disparate outcome are understudied. Recent studies identify DNA damage repair (DDR) genes as a new class of endocrine therapy resistance driver that contributes to poor survival among ER+ breast cancer patients. Here, we systematically analyze DDR regulation in the tumors and normal breast of Black women and its impact on survival outcome. METHOD Mutation and up/downregulation of 104 DDR genes in breast tumor and normal samples from Black patients relative to White counterparts was assessed. For DDR genes that were differently regulated in the tumor samples from Black women in multiple datasets associations with survival outcome were tested. RESULTS Overall, Black patient tumors upregulate or downregulate RNA levels of a wide array of single strand break repair (SSBR) genes relative to their white counterparts and uniformly upregulate double strand break repair (DSBR) genes. This DSBR upregulation was also detectable in samples of normal breast tissue from Black women. Eight candidate DDR genes were reproducibly differently regulated in tumors from Black women and associated with poor survival. A unique DDR signature comprised of simultaneous upregulation of homologous recombination gene expression and downregulation of SSBR genes was enriched in Black patients. This signature associated with cell cycle dysregulation (p < 0.001), a hallmark of endocrine therapy resistance, and concordantly, with significantly worse survival outcomes in all datasets analyzed (hazard ratio of 9.5, p < 0.001). CONCLUSION These results constitute the first systematic analysis of DDR regulation in Black women and provide strong rationale for refining biomarker profiles to ensure precision medicine for underserved populations.
Collapse
Affiliation(s)
- Aloran Mazumder
- Aging, Cancer and Immuno-oncology Program, NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Athena Jimenez
- Aging, Cancer and Immuno-oncology Program, NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Rachel E. Ellsworth
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Stephen J. Freedland
- Division of Urology, Department of Surgery and the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Section of Urology, Durham VA Medical Center, Durham, NC, USA
| | - Sophia George
- Division of Gynecologic Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | | | | |
Collapse
|
42
|
Patel A, García-Closas M, Olshan AF, Perou CM, Troester MA, Love MI, Bhattacharya A. Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer. Cancer Res 2022; 82:25-35. [PMID: 34711612 PMCID: PMC8732329 DOI: 10.1158/0008-5472.can-21-1207] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/30/2021] [Accepted: 10/25/2021] [Indexed: 01/09/2023]
Abstract
Continuous risk of recurrence scores (CRS) based on tumor gene expression are vital prognostic tools for breast cancer. Studies have shown that Black women (BW) have higher CRS than White women (WW). Although systemic injustices contribute substantially to breast cancer disparities, evidence of biological and germline contributions is emerging. In this study, we investigated germline genetic associations with CRS and CRS disparity using approaches modeled after transcriptome-wide association studies (TWAS). In the Carolina Breast Cancer Study, using race-specific predictive models of tumor expression from germline genetics, we performed race-stratified (N = 1,043 WW, 1,083 BW) linear regressions of three CRS (ROR-S: PAM50 subtype score; proliferation score; ROR-P: ROR-S plus proliferation score) on imputed tumor genetically regulated tumor expression (GReX). Bayesian multivariate regression and adaptive shrinkage tested GReX-prioritized genes for associations with tumor PAM50 expression and subtype to elucidate patterns of germline regulation underlying GReX-CRS associations. At FDR-adjusted P < 0.10, 7 and 1 GReX prioritized genes among WW and BW, respectively. Among WW, CRS were positively associated with MCM10, FAM64A, CCNB2, and MMP1 GReX and negatively associated with VAV3, PCSK6, and GNG11 GReX. Among BW, higher MMP1 GReX predicted lower proliferation score and ROR-P. GReX-prioritized gene and PAM50 tumor expression associations highlighted potential mechanisms for GReX-prioritized gene to CRS associations. Among patients with breast cancer, differential germline associations with CRS were found by race, underscoring the need for larger, diverse datasets in molecular studies of breast cancer. These findings also suggest possible germline trans-regulation of PAM50 tumor expression, with potential implications for CRS interpretation in clinical settings. SIGNIFICANCE: This study identifies race-specific genetic associations with breast cancer risk of recurrence scores and suggests mediation of these associations by PAM50 subtype and expression, with implications for clinical interpretation of these scores.
Collapse
Affiliation(s)
- Achal Patel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, United Kingdom
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
- Lineberger Comprehensive Cancer Center, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - Michael I Love
- Department of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - Arjun Bhattacharya
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.
- Institute for Quantitative and Computational Biosciences, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, Carolina
| |
Collapse
|
43
|
Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA. TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer Epidemiol Biomarkers Prev 2022; 31:124-131. [PMID: 34737209 PMCID: PMC8755611 DOI: 10.1158/1055-9965.epi-21-0661] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/25/2021] [Accepted: 10/26/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND TP53 and estrogen receptor (ER) both play essential roles in breast cancer development and progression, with recent research revealing cross-talk between TP53 and ER signaling pathways. Although many studies have demonstrated heterogeneity of risk factor associations across ER subtypes, associations by TP53 status have been inconsistent. METHODS This case-case analysis included incident breast cancer cases (47% Black) from the Carolina Breast Cancer Study (1993-2013). Formalin-fixed paraffin-embedded tumor samples were classified for TP53 functional status (mutant-like/wild-type-like) using a validated RNA signature. For IHC-based TP53 status, mutant-like was classified as at least 10% positivity. We used two-stage polytomous logistic regression to evaluate risk factor heterogeneity due to RNA-based TP53 and/or ER, adjusting for each other and for PR, HER2, and grade. We then compared this with the results when using IHC-based TP53 classification. RESULTS The RNA-based classifier identified 55% of tumors as TP53 wild-type-like and 45% as mutant-like. Several hormone-related factors (oral contraceptive use, menopausal status, age at menopause, and pre- and postmenopausal body mass index) were associated with TP53 mutant-like status, whereas reproductive factors (age at first birth and parity) and smoking were associated with ER status. Multiparity was associated with both TP53 and ER. When classifying TP53 status using IHC methods, no associations were observed with TP53. Associations observed with RNA-based TP53 remained after accounting for basal-like subtype. CONCLUSIONS This case-case study found breast cancer risk factors associated with RNA-based TP53 and ER. IMPACT RNA-based TP53 and ER represent an emerging etiologic schema of interest in breast cancer prevention research.
Collapse
Affiliation(s)
- Amber N Hurson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, North Carolina
| | - Kathleen Conway
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Michael I Love
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Andrew F Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Charles M Perou
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
| |
Collapse
|
44
|
Kinesin Family Member C1 (KIFC1/HSET): A Potential Actionable Biomarker of Early Stage Breast Tumorigenesis and Progression of High-Risk Lesions. J Pers Med 2021; 11:jpm11121361. [PMID: 34945833 PMCID: PMC8708236 DOI: 10.3390/jpm11121361] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 11/29/2021] [Accepted: 12/08/2021] [Indexed: 12/14/2022] Open
Abstract
The enigma of why some premalignant or pre-invasive breast lesions transform and progress while others do not remains poorly understood. Currently, no radiologic or molecular biomarkers exist in the clinic that can successfully risk-stratify high-risk lesions for malignant transformation or tumor progression as well as serve as a minimally cytotoxic actionable target for at-risk subpopulations. Breast carcinogenesis involves a series of key molecular deregulatory events that prompt normal cells to bypass tumor-suppressive senescence barriers. Kinesin family member C1 (KIFC1/HSET), which confers survival of cancer cells burdened with extra centrosomes, has been observed in premalignant and pre-invasive lesions, and its expression has been shown to correlate with increasing neoplastic progression. Additionally, KIFC1 has been associated with aggressive breast tumor molecular subtypes, such as basal-like and triple-negative breast cancers. However, the role of KIFC1 in malignant transformation and its potential as a predictive biomarker of neoplastic progression remain elusive. Herein, we review compelling evidence suggesting the involvement of KIFC1 in enabling pre-neoplastic cells to bypass senescence barriers necessary to become immortalized and malignant. We also discuss evidence inferring that KIFC1 levels may be higher in premalignant lesions with a greater inclination to transform and acquire aggressive tumor intrinsic subtypes. Collectively, this evidence provides a strong impetus for further investigation into KIFC1 as a potential risk-stratifying biomarker and minimally cytotoxic actionable target for high-risk patient subpopulations.
Collapse
|
45
|
Carmichael I, Calhoun BC, Hoadley KA, Troester MA, Geradts J, Couture HD, Olsson L, Perou CM, Niethammer M, Hannig J, Marron JS. JOINT AND INDIVIDUAL ANALYSIS OF BREAST CANCER HISTOLOGIC IMAGES AND GENOMIC COVARIATES. Ann Appl Stat 2021; 15:1697-1722. [PMID: 35432688 PMCID: PMC9007558 DOI: 10.1214/20-aoas1433] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2023]
Abstract
The two main approaches in the study of breast cancer are histopathology (analyzing visual characteristics of tumors) and genomics. While both histopathology and genomics are fundamental to cancer research, the connections between these fields have been relatively superficial. We bridge this gap by investigating the Carolina Breast Cancer Study through the development of an integrative, exploratory analysis framework. Our analysis gives insights - some known, some novel - that are engaging to both pathologists and geneticists. Our analysis framework is based on Angle-based Joint and Individual Variation Explained (AJIVE) for statistical data integration and exploits Convolutional Neural Networks (CNNs) as a powerful, automatic method for image feature extraction. CNNs raise interpretability issues that we address by developing novel methods to explore visual modes of variation captured by statistical algorithms (e.g. PCA or AJIVE) applied to CNN features.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | - Jan Hannig
- University of North Carolina at Chapel Hill
| | - J S Marron
- University of North Carolina at Chapel Hill
| |
Collapse
|
46
|
Reid S, Haddad D, Tezak A, Weidner A, Wang X, Mautz B, Moore J, Cadiz S, Zhu Y, Zheng W, Mayer IA, Shu XO, Pal T. Impact of molecular subtype and race on HR+, HER2- breast cancer survival. Breast Cancer Res Treat 2021; 189:845-852. [PMID: 34331630 PMCID: PMC8511072 DOI: 10.1007/s10549-021-06342-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 07/28/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE There is an urgent need to understand the biological factors contributing to the racial survival disparity among women with hormone receptor-positive (HR+), HER2- breast cancer. In this study, we examined the impact of PAM50 subtype on 10-year mortality rate in women with HR+, HER2- breast cancer by race. METHODS Women with localized, HR+, HER2- breast cancer diagnosed between 2002 and 2012 from two population-based cohorts were evaluated. Archival tumors were obtained and classified by PAM50 into four molecular subtypes (i.e., luminal A, luminal B, HER2-enriched, and basal-like). The molecular subtypes within HR+, HER2- breast cancers and corresponding 10-year mortality rate were compared between Black and Non-Hispanic White (NHW) women using Cox proportional hazard ratios and survival analysis, adjusting for covariates. RESULTS In this study, 318 women with localized, HR+, HER2- breast cancer were included-227 Black (71%) and 91 NHW (29%). Young Black women (age ≤ 50) had the highest proportion of HR+, non-luminal A tumors (47%), compared to young NHW (10%), older Black women (31%), and older NHW (30%). Overall, women with HR+, non-luminal A subtypes had a higher 10-year mortality rate compared to HR+, luminal A subtypes after adjustment for age, stage, and income (HR 4.21 for Blacks, 95% CI 1.74-10.18 and HR 3.44 for NHW, 95% CI 1.31-9.03). Among HR+, non-luminal A subtypes there was, however, no significant racial difference in 10-yr mortality observed (Black vs. NHW: HR 1.23, 95% CI 0.58-2.58). CONCLUSION Molecular subtype classification highlights racial disparities in PAM50 subtype distribution among women with HR+, HER2- breast cancer. Among women with HR+, HER2- breast cancer, racial survival disparities are ameliorated after adjusting for molecular subtype.
Collapse
Affiliation(s)
- Sonya Reid
- Vanderbilt University Medical Center (VUMC)/Vanderbilt-Ingram Cancer Center (VICC), 2220 Pierce Ave. 777 PRB, Nashville, TN, 37232, USA.
| | - Diane Haddad
- Vanderbilt University Medical Center, Nashville, TN
| | - Ann Tezak
- Vanderbilt University Medical Center, Nashville, TN
| | - Anne Weidner
- Vanderbilt University Medical Center, Nashville, TN
| | | | - Brian Mautz
- Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, TN
| | - Wei Zheng
- Vanderbilt University Medical Center, Nashville, TN
| | | | - Xiao-ou Shu
- Vanderbilt University Medical Center, Nashville, TN
| | - Tuya Pal
- Vanderbilt University Medical Center, Nashville, TN
| |
Collapse
|
47
|
Reeder-Hayes KE, Troester MA, Wheeler SB. Adherence to Endocrine Therapy and Racial Outcome Disparities in Breast Cancer. Oncologist 2021; 26:910-915. [PMID: 34582070 DOI: 10.1002/onco.13964] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 09/02/2021] [Indexed: 11/10/2022] Open
Abstract
The disparity in outcomes of breast cancer for Black compared with White women in the U.S. is well known and persistent over time, with the largest disparities appearing among women with hormone receptor-positive (HR+) cancers. The racial gap in breast cancer survival first emerged in the 1980s, a time of significantmen treatment advances in early-stage breast cancer, including the introduction of adjuvant endocrine therapy. Since that time, the gap has continued to widen despite steady advances in treatment and survival of breast cancer overall. Although advanced stage at presentation and unfavorable biology undoubtedly contribute to racial differences in survival of HR+ breast, treatment disparities are increasingly acknowledged to play a key role as well. The recent recognition of racial differences in endocrine therapy use may be a key explanatory factor in the persistent racial gap in mortality of HR+ disease, and may be a key focus of intervention to improve breast cancer outcomes for Black women. IMPLICATIONS FOR PRACTICE: Black women with hormone receptor-positive breast cancer experience the greatest racial disparity in survival among all breast cancer subtypes. This survival gap appears consistently across studies and is not entirely explained by differences in presenting stage, tumor biology as assessed by genomic risk scores, or receipt of chemotherapy. Recent research highlights lower adherence to endocrine therapy (ET) for Black women. Health systems and individual providers should focus on improving communication about the importance of ET use, sharing decisions around ET, providing appropriate support for side effects and other ET-related concerns, and equitably delivering survivorship care, including ET adherence assessment.
Collapse
Affiliation(s)
- Katherine E Reeder-Hayes
- Division of Oncology, University of North Carolina-Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.,University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina, USA
| | - Melissa A Troester
- Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina, USA.,University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina, USA
| | - Stephanie B Wheeler
- Department of Health Policy, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina, USA.,University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina, USA
| |
Collapse
|
48
|
Jordan JH, D'Agostino RB, Ansley K, Douglas E, Melin S, Sorscher S, Vasu S, Park S, Kotak A, Romitti PA, O'Connell NS, Hundley WG, Thomas A. Myocardial Function in Premenopausal Women Treated With Ovarian Function Suppression and an Aromatase Inhibitor. JNCI Cancer Spectr 2021; 5:pkab071. [PMID: 34476341 PMCID: PMC8406435 DOI: 10.1093/jncics/pkab071] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/28/2021] [Accepted: 07/25/2021] [Indexed: 11/23/2022] Open
Abstract
Background Premenopausal women with high-risk hormone receptor (HR)-positive breast cancer often receive ovarian function suppression (OFS) with aromatase inhibitor therapy; however, abrupt menopause induction, together with further decrements in estrogen exposure through aromatase inhibition, may affect cardiovascular microcirculatory function. We examined adenosine-induced changes in left ventricular (LV) myocardial T1, a potential subclinical marker of LV microcirculatory function in premenopausal women undergoing treatment for breast cancer. Methods Twenty-one premenopausal women (14 with HR-positive breast cancer receiving OFS with an aromatase inhibitor and 7 comparator women with triple-negative breast cancer [TNBC] who had completed primary systemic therapy) underwent serial resting and adenosine cardiovascular magnetic resonance imaging measurements of LV myocardial T1 and LV volumes, mass, and ejection fraction. All statistical tests were 2-sided. Results After a median of 4.0 months (range = 3.1-5.7 months), the stress to resting ratio of LV myocardial T1 declined in women with HR-positive breast cancer (−1.3%, 95% confidence interval [CI] = −3.4% to 0.7%) relative to those with TNBC (3.2%, 95% CI = −1.2% to 7.6%, P = .02). After accounting for age, LV stroke volume, LV ejection fraction, diastolic blood pressure, and breast cancer subtype women with HR-positive breast cancer experienced a blunted T1 response after adenosine relative to women with TNBC (difference = −4.7%, 95% CI = −7.3% to −2.1%, Pdifference = .002). Conclusions Over the brief interval examined, women with HR-positive breast cancer receiving OFS with an aromatase inhibitor experienced reductions in adenosine-associated changes in LV myocardial T1 relative to women who received nonhormonal therapy for TNBC. These findings suggest a possible adverse impact on LV myocardial microcirculatory function in premenopausal women with breast cancer receiving hormone deprivation therapy.
Collapse
Affiliation(s)
- Jennifer H Jordan
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Ralph B D'Agostino
- Department of Biostatistics and Data Science, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Katherine Ansley
- Wake Forest Comprehensive Cancer Center, Wake Forest University School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Emily Douglas
- Wake Forest Comprehensive Cancer Center, Wake Forest University School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Susan Melin
- Wake Forest Comprehensive Cancer Center, Wake Forest University School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Steven Sorscher
- Wake Forest Comprehensive Cancer Center, Wake Forest University School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Sujethra Vasu
- Wake Forest Comprehensive Cancer Center, Wake Forest University School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Sung Park
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Anuj Kotak
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Paul A Romitti
- Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, IA, USA
| | - Nathanial S O'Connell
- Department of Biostatistics and Data Science, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - William G Hundley
- Pauley Heart Center, Department of Internal Medicine, Virginia Commonwealth University Health Sciences, Richmond, VA, USA
| | - Alexandra Thomas
- Wake Forest Comprehensive Cancer Center, Wake Forest University School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| |
Collapse
|
49
|
Damrauer JS, Roell KR, Smith MA, Sun X, Kirk EL, Hoadley KA, Benefield HC, Iyer G, Solit DB, Milowsky MI, Kim WY, Nielsen ME, Wobker SE, Dalbagni G, Al-Ahmadie HA, Olshan AF, Bochner BH, Furberg H, Troester MA, Pietzak EJ. Identification of a Novel Inflamed Tumor Microenvironment Signature as a Predictive Biomarker of Bacillus Calmette-Guérin Immunotherapy in Non-Muscle-Invasive Bladder Cancer. Clin Cancer Res 2021; 27:4599-4609. [PMID: 34117034 PMCID: PMC8416390 DOI: 10.1158/1078-0432.ccr-21-0205] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/24/2021] [Accepted: 06/10/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE Improved risk stratification and predictive biomarkers of treatment response are needed for non-muscle-invasive bladder cancer (NMIBC). Here we assessed the clinical utility of targeted RNA and DNA molecular profiling in NMIBC. EXPERIMENTAL DESIGN Gene expression in NMIBC samples was profiled by NanoString nCounter, an RNA quantification platform, from two independent cohorts (n = 28, n = 50); targeted panel sequencing was performed in a subgroup (n = 50). Gene signatures were externally validated using two RNA sequencing datasets of NMIBC tumors (n = 438, n = 73). Established molecular subtype classifiers and novel gene expression signatures were assessed for associations with clinicopathologic characteristics, somatic tumor mutations, and treatment outcomes. RESULTS Molecular subtypes distinguished between low-grade Ta tumors with FGFR3 mutations and overexpression (UROMOL-class 1) and tumors with more aggressive clinicopathologic characteristics (UROMOL-classes 2 and 3), which were significantly enriched with TERT promoter mutations. However, UROMOL subclasses were not associated with recurrence after bacillus Calmette-Guérin (BCG) immunotherapy in two independent cohorts. In contrast, a novel expression signature of an inflamed tumor microenvironment (TME) was associated with improved recurrence-free survival after BCG. Expression of immune checkpoint genes (PD-L1/PD-1/CTLA-4) was associated with an inflamed TME, but not with higher recurrence rates after BCG. FGFR3 mutations and overexpression were both associated with low immune signatures. CONCLUSIONS Assessment of the immune TME, rather than molecular subtypes, is a promising predictive biomarker of BCG response. Modulating the TME in an immunologically "cold" tumor warrants further investigation. Integrated transcriptomic and exome sequencing should improve treatment selection in NMIBC.
Collapse
Affiliation(s)
- Jeffrey S Damrauer
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
| | - Kyle R Roell
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Markia A Smith
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Xuezheng Sun
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Erin L Kirk
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Katherine A Hoadley
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Halei C Benefield
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Gopakumar Iyer
- Department of Medicine (Genitourinary Oncology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - David B Solit
- Department of Medicine (Genitourinary Oncology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medicine, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Matthew I Milowsky
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - William Y Kim
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Matthew E Nielsen
- Department of Urology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Sara E Wobker
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Urology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Guido Dalbagni
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Urology, Weill Cornell Medicine, New York, New York
| | - Hikmat A Al-Ahmadie
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Andrew F Olshan
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Bernard H Bochner
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Urology, Weill Cornell Medicine, New York, New York
| | - Helena Furberg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Melissa A Troester
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Medicine (Genitourinary Oncology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Eugene J Pietzak
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, New York.
- Department of Urology, Weill Cornell Medicine, New York, New York
| |
Collapse
|
50
|
Molecular subtyping of breast cancer intrinsic taxonomy with oligonucleotide microarray and NanoString nCounter. Biosci Rep 2021; 41:229520. [PMID: 34387660 PMCID: PMC8385191 DOI: 10.1042/bsr20211428] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 08/12/2021] [Accepted: 08/12/2021] [Indexed: 11/17/2022] Open
Abstract
Breast cancer intrinsic subtypes have been identified based on the transcription of a predefined gene expression (GE) profiles and algorithm (PAM50). This study compared molecular subtyping with oligonucleotide microarray and NanoString nCounter assay. A total of 109 Taiwanese breast cancers (24 with adjacent normal breast tissues) were assayed with Affymetrix Human Genome U133 plus 2.0 microarrays and 144 were assayed with the NanoString nCounter while 64 patients were assayed for both platforms. Subtyping with the nearest centroid (single sample prediction) was performed, and 16 out of 24 (67%) matched normal breasts were categorized as the normal breast-like subtype. For 64 breast cancers assayed for both platforms, 41 (65%, one unclassified by microarray) were predicted with an identical subtype, resulting in a fair Kappa statistic of 0.60. Taking nCounter subtyping as the gold standard, prediction accuracy was 43% (3/7), 81% (13/16), 25% (5/20), and 100% (20/20) for basal-like, HER2-enriched, luminal A and luminal B subtype predicted from microarray GE profiles. Microarray identified more luminal B cases from luminal A subtype predicted by nCounter. It's not uncommon to use microarray for breast cancer molecular subtyping for research. Our study showed that fundamental discrepancy existed between distinct GE assays, and cross platform equivalence should be carefully appraised when molecular subtyping was conducted with oligonucleotide microarray.
Collapse
|