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Gill J, Yendamuri K, Chatterjee U, Yao S, Oladeru OT, Singh AK, Ma SJ. Racial/ethnic differences in 21-gene recurrence score and survival among patients with estrogen receptor-positive breast cancer. BMC Cancer 2024; 24:461. [PMID: 38614979 PMCID: PMC11015648 DOI: 10.1186/s12885-024-12238-1] [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: 09/10/2023] [Accepted: 04/09/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Despite numerous studies on racial/ethnic disparities among patients with breast cancer, there is a paucity of literature evaluating racial/ethnic differences in 21-gene recurrence score (RS) and survival differences stratified by RS risk categories. We thus performed an observational cohort study to examine racial/ethnic disparities in the context of RS. METHODS The National Cancer Database (NCDB) was queried for female patients diagnosed between 2006 and 2018 with estrogen receptor (ER)-positive, pT1-3N0-1aM0 breast cancer who received surgery followed by adjuvant endocrine therapy and had RS data available. Logistic multivariable analysis (MVA) was built to evaluate variables associated with RS ≥ 26. Cox MVA was used to evaluate OS. Subgroup analyses were performed to compare the magnitude of racial/ethnic differences stratified by RS. P values less than 0.017 were considered statistically significant based on Bonferroni correction. RESULTS A total of 140,133 women were included for analysis. Of these, 115,651 (82.5%), 8,213 (5.9%), 10,814 (7.7%), and 5,455 (3.9%) were NHW, Hispanic, Black, and API women, respectively. Median (IQR) follow up was 66.2 months (48.0-89.8). Logistic MVA showed that, compared with NHW women, Black women were associated with higher RS (≥ 26 vs < 26: adjusted odds ratio [aOR] 1.19, 95% confidence interval [CI] 1.12-1.26, p < 0.001), while HW (aOR 0.93, 95% CI 0.86-1.00, p = 0.04) and API women (aOR 1.03, 95% CI 0.95-1.13, p = 0.45) were not. Cox MVA showed that, compared with NHW women, Black women had worse OS (adjusted hazards ratio [aHR] 1.10, 95% CI 1.02-1.19, p = 0.012), while HW (aHR 0.85, 95% CI 0.77-0.94, p = 0.001) and API (aHR 0.66, 95% CI 0.56-0.77, p < 0.001) women had better OS. In subgroup analysis, similar findings were noted among those with RS < 26, while only API women were associated with improved OS among others with RS ≥ 26. CONCLUSION To our knowledge, this is the largest study using nationwide oncology database to suggest that Black women were associated with higher RS, while HW and API women were not. It also suggested that Black women were associated with worse OS among those with RS < 26, while API women were associated with improved OS regardless of RS when compared to NHW women.
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Affiliation(s)
- Jasmin Gill
- University at Buffalo, The State University of New York, 12 Capen Hall, Buffalo, NY, 14260, USA
| | - Keerti Yendamuri
- University at Buffalo, The State University of New York, 12 Capen Hall, Buffalo, NY, 14260, USA
| | - Udit Chatterjee
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY, 14203, USA
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY, 14203, USA
| | - Oluwadamilola T Oladeru
- Department of Radiation Oncology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Anurag K Singh
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY, 14203, USA.
| | - Sung Jun Ma
- Department of Radiation Oncology, The Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University Comprehensive Cancer Center, 460 West 10th Avenue, Columbus, OH, 43210, USA
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Chen B, Wu H, Fang Y, Huang G, Guo C, Chen C, He L, Chen Z, Hou X, Li C, Wu J. Prognostic implication of novel immune-related signature in breast cancer. Medicine (Baltimore) 2024; 103:e37065. [PMID: 38335435 PMCID: PMC10860943 DOI: 10.1097/md.0000000000037065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/28/2023] [Accepted: 01/04/2024] [Indexed: 02/12/2024] Open
Abstract
Checkpoint inhibitor therapy has become increasingly important and has been endorsed as a treatment regimen in breast cancer. But benefits were limited to a small proportion of patients. We aimed to develop an improved signature on the basis of immune genes for detection of potential benefit from immunotherapy. Gene expression data of patients with breast cancer initially extracted from The Cancer Genome Atlas were analyzed. Ten genes were selected from the interaction of differentially expressed genes as well as immune-related genes to develop a survival signature. We compared the high-risk and low-risk groups by gene set enrichment analysis, immune infiltration, checkpoint molecule expression and immunophenoscore. Ten genes were extracted from interactions of differentially expressed and immune-related genes. The immune risk score was determined on the basis of the Cox regression coefficient of hub genes and validated with the GSE96058 dataset. Immune cell infiltrates, including CD8 + T cells, plasma cells, follicular helper T cells, CD4 + memory T cells, M1 macrophages, regulatory T cells and resting NK cells, were more highly infiltrated in the high-risk group as compared to the low-risk group. Checkpoint molecules, including CTLA-4, PD-L1, TIM-3, VISTA, ICOS, PD-1, and PD-L2, were expressed at markedly lower levels in the high-risk group as compared to the low-risk group. Immunophenoscores, as a surrogate of response to immune checkpoint therapy, was observed significant lower in the high-risk group. The 10-gene prognostic signature could identify patients' survival and was correlated with the biomarkers of immune checkpoint inhibitor therapy, which may guide precise therapeutic decisions in clinical practice.
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Affiliation(s)
- Bingfeng Chen
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Haoming Wu
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Yutong Fang
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Guangsheng Huang
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Cuiping Guo
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Chunfa Chen
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Lifang He
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Zexiao Chen
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Xiangling Hou
- Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, Guangdong Province, China
| | - Cheukfai Li
- Department of Breast Cancer, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province, China
| | - Jundong Wu
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
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Narvaez D, Nadal J, Nervo A, Costanzo V, Paletta C, Petracci F, Rivero S, Ostinelli A, Coló F, Martín L, Fabiano V, Sabatini L, Perazzolo A, Amat M, Chacon M, Waisberg F. The role of modern parameters and their relationship with recurrence risk as assessed by Oncotype DX: real-world evidence. Ecancermedicalscience 2024; 18:1664. [PMID: 38439804 PMCID: PMC10911664 DOI: 10.3332/ecancer.2024.1664] [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: 09/21/2023] [Indexed: 03/06/2024] Open
Abstract
Genomic analysis through various platforms is an essential tool for determining prognosis and treatment in a significant subgroup of early-stage breast cancer patients with hormone receptor-positive and human epidermal growth factor receptor 2 (HER2)-negative status. Additionally, combined clinical and pathological characteristics can accurately predict the recurrence score (RS), as demonstrated by the University of Tennessee risk nomogram. In this study, we aimed to identify classical clinical-pathological factors associated with high RS in a local population, including modern parameters such as current abemaciclib treatment recommendations, HER2-low status, different Ki-67 cutoff values, and samples obtained from secondary primary tumours. This is a retrospective single-institution study that analysed a total of 215 tumour samples. Among lymph node-negative patients (n = 179), age, Ki67 values, and progesterone receptor status predicted RS after multivariate analysis. HER2-low status was not associated with RS differences (p = 0.41). Among lymph node-positive patients (n = 36), MonarchE inclusion criteria (15) were not associated with a higher RS (p = 0.61), and HER2-low did not reach statistical significance. However, tumours classified as secondary primaries numerically exhibited a higher RS. Based on these findings from our real-world sample, the mere application of clinical and pathological parameters is insufficient to predict RS outcomes. Modern parameters such as HER2-low status or adjuvant abemaciclib recommendations were not associated with RS differences. Regarding the observation of secondary tumours, more evidence is needed to understand whether prior hormone therapy exposure impacts the biological risk of secondary primary tumours.
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Affiliation(s)
- Dana Narvaez
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
| | - Jorge Nadal
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
| | - Adrian Nervo
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
| | | | | | | | - Sergio Rivero
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
| | | | - Federico Coló
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
| | - Loza Martín
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
| | | | | | - Azul Perazzolo
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
| | - Mora Amat
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
| | - Matias Chacon
- Alexander Fleming Institute, Buenos Aires 1425, Argentina
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Ünal Ç, Özmen T, Ordu Ç, Uras C, Kara H, Gökmen E, Özdoğan M, Demircan O, Pilancı KN, Duymaz T, Özmen V. Assessment High-Risk Breast Cancer in Older Patients: A Comparative Analysis of PREDICT Scores and TAILORx Risk Categorization. Eur J Breast Health 2023; 19:325-330. [PMID: 37795003 PMCID: PMC10546806 DOI: 10.4274/ejbh.galenos.2023.2023-8-5] [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: 09/04/2023] [Accepted: 09/25/2023] [Indexed: 10/06/2023]
Abstract
Objective This study aimed to evaluate the relationship between PREDICT tool overall survival (OS) scores and high-risk patients according to TAILORx risk categorization in elderly hormone reseptor (HR) positive human epidermal growth factor negative early breast-cancer patients. Materials and Methods We conducted a retrospective study, extracting data from medical records of 64 patients diagnosed with breast cancer. A retrospective analysis was performed on all patients who had Oncotype Dx Recurrence Scores across five medical centers between 2017 and 2022. PREDICT scores were defined as calculated 10-year OS rates via PREDICT tool. Results The median age of the patients was 67, with a range between 65-75 years. Low-risk patients had a slightly higher two PREDICT scores compared to high-risk patients (78% vs. 73%), (81% vs. 77%), which were statistically significant. The progesterone receptor (PR) level was significantly lower in the high-risk group (3.5% vs. 80%). A unit decrease in the PREDICT scores was associated with a 11% increase in the odds of being in the high-risk group. However, these effects weren't statistically significant in the multivariate analysis. A unit decrease in the PR level was significantly associated with increased odds (by 5% in the multivariate analysis) of being in the high-risk group. Conclusion Our study underscores the importance of using a combination of tools, including the PREDICT tool, PR levels, and TAILORx risk categorization, for a comprehensive risk assessment in these patients, especially in the older population. Accurate risk assessment is crucial for tailoring the treatment and optimizing outcomes in this vulnerable population. Future studies are warranted to further validate these findings in larger cohorts and to explore additional biomarkers and genomic signatures that may aid in the risk assessment and management of breast cancer in older patients.
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Affiliation(s)
- Çağlar Ünal
- Division of Medical Oncology, Department of Internal Medicine, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey
| | - Tolga Özmen
- Department of Gastrointestinal and Oncologic Surgery, Harvard Medical School, Massachusetts, USA
- Department of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Massachusetts, USA
| | - Çetin Ordu
- Division of Medical Oncology, Department of Internal Medicine, Gayrettepe Florence Nightingale Hospital, İstanbul, Turkey
| | - Cihan Uras
- Department of General Surgery, Acıbadem University Faculty of Medicine, İstanbul, Turkey
| | - Halil Kara
- Department of General Surgery, Acıbadem University Faculty of Medicine, İstanbul, Turkey
| | - Erhan Gökmen
- Division of Medical Oncology, Department of Internal Medicine, Ege University Faculty of Medicine, İzmir, Turkey
| | - Mustafa Özdoğan
- Division of Medical Oncology, Department of Internal Medicine, Akdeniz University Faculty of Medicine, Antalya, Turkey
| | - Orhan Demircan
- Department of General Surgery, Çukurova University Faculty of Medicine, Adana, Turkey
| | - Kezban Nur Pilancı
- Division of Medical Oncology, Department of Internal Medicine, Bahçelievler Memorial Hospital, İstanbul, Turkey
| | - Tomris Duymaz
- Department of Physiotherapy and Rehabilitation, İstanbul Bilgi University Faculty of Health Sciences, İstanbul, Turkey
| | - Vahit Özmen
- Department of General Surgery, İstanbul University İstanbul Faculty of Medicine, İstanbul, Turkey
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Mohamed A, Olsson LT, Geradts J. Differential distribution of actual and surrogate oncotype DX recurrence scores in breast cancer patients by age, menopausal status, race, and body mass index. Breast Cancer Res Treat 2023; 201:447-460. [PMID: 37453958 DOI: 10.1007/s10549-023-07025-8] [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: 04/29/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE The Oncotype DX Recurrence Score (RS) is a widely used prognostic tool for estrogen receptor-positive breast cancer patients. Multiple surrogate models can predict RS with good accuracy. In this study we aimed to determine whether the RS and two surrogate indices were differentially distributed by age, menopausal status, race, and body mass index (BMI). METHODS 516 breast cancer cases treated at a single institution were analyzed. Epidemiologic data, RS, tumor size, grade, and biomarker data were abstracted. Breast Cancer Prognostic Score (BCPS) and modified Magee equation 2 were used to calculate surrogate RS. Patients were stratified into different groups based on age, menopausal status, race, BMI, or a combination of strata. Mean and standard deviation were calculated for each group/subgroup. RESULTS Age below median (< 63) was associated with higher RS, especially in obese and Black patients. RS was also higher in obese and Black patients in the premenopausal subgroup. Black patients had a higher RS compared to White women in the premenopausal and non-obese subgroups. BMI < 30 was associated with higher RS, especially in older, postmenopausal, and Black patients. Some of these observations were replicated by the two surrogate models. The surrogate recurrence scores were higher in the younger age group, in non-obese older/postmenopausal women, and in younger/premenopausal obese individuals. CONCLUSIONS Higher RS was observed in younger and premenopausal breast cancer patients, especially among the Black and obese subgroups, and in non-obese patients, especially among Black and older/postmenopausal women, suggesting more aggressive disease in these subgroups. Some statistical differences could be replicated by both surrogate models, suggesting that they may have utility in breast cancer epidemiology studies that do not have access to Oncotype DX RS or patient outcome data.
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Affiliation(s)
- Anas Mohamed
- Department of Pathology and Laboratory Medicine, East Carolina University Brody School of Medicine, 600 Moye Blvd, Mailstop 642, Greenville, NC, 27834, USA
| | - Linnea T Olsson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Joseph Geradts
- Department of Pathology and Laboratory Medicine, East Carolina University Brody School of Medicine, 600 Moye Blvd, Mailstop 642, Greenville, NC, 27834, USA.
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Liu Z, Duan T, Zhang Y, Weng S, Xu H, Ren Y, Zhang Z, Han X. Radiogenomics: a key component of precision cancer medicine. Br J Cancer 2023; 129:741-753. [PMID: 37414827 PMCID: PMC10449908 DOI: 10.1038/s41416-023-02317-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 05/02/2023] [Accepted: 06/12/2023] [Indexed: 07/08/2023] Open
Abstract
Radiogenomics, focusing on the relationship between genomics and imaging phenotypes, has been widely applied to address tumour heterogeneity and predict immune responsiveness and progression. It is an inevitable consequence of current trends in precision medicine, as radiogenomics costs less than traditional genetic sequencing and provides access to whole-tumour information rather than limited biopsy specimens. By providing voxel-by-voxel genetic information, radiogenomics can allow tailored therapy targeting a complete, heterogeneous tumour or set of tumours. In addition to quantifying lesion characteristics, radiogenomics can also be used to distinguish benign from malignant entities, as well as patient characteristics, to better stratify patients according to disease risk, thereby enabling more precise imaging and screening. Here, we have characterised the radiogenomic application in precision medicine using a multi-omic approach. we outline the main applications of radiogenomics in diagnosis, treatment planning and evaluations in the field of oncology with the aim of developing quantitative and personalised medicine. Finally, we discuss the challenges in the field of radiogenomics and the scope and clinical applicability of these methods.
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Affiliation(s)
- Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
- Interventional Institute of Zhengzhou University, 450052, Zhengzhou, Henan, China
- Interventional Treatment and Clinical Research Center of Henan Province, 450052, Zhengzhou, Henan, China
| | - Tian Duan
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Yuyuan Zhang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Siyuan Weng
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Hui Xu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Yuqing Ren
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Zhenyu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China.
| | - Xinwei Han
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China.
- Interventional Institute of Zhengzhou University, 450052, Zhengzhou, Henan, China.
- Interventional Treatment and Clinical Research Center of Henan Province, 450052, Zhengzhou, Henan, China.
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Nash AL, Ren Y, Plichta JK, Rosenberger LH, van den Bruele AMB, DiNome ML, Westbrook K, Hwang ES. Survival Benefit of Chemotherapy According to 21-Gene Recurrence Score in Young Women with Breast Cancer. Ann Surg Oncol 2023; 30:2130-2139. [PMID: 36611067 DOI: 10.1245/s10434-022-12699-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/05/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND Initial trials evaluating Oncotype DX, reported as a recurrence score (RS) from 0 to 100, were not powered to evaluate overall survival, and premenopausal women were underrepresented. The purpose of this study was to explore the benefit of chemotherapy according to RS among younger women eligible for oncotype testing. METHODS Women aged 40-50, diagnosed with HR-positive, HER2-negative breast cancer between 2010 and 2017 were selected from the National Cancer Database (NCBD). Patients were grouped by age, RS, nodal status, and chemotherapy receipt. Kaplan-Meier curves were used to compare unadjusted overall survival (OS) between the groups, and log-rank tests were used to test for a difference between groups. Cox proportional hazards models were used to examine the association between select factors and OS. RESULTS A total of 15,422 patients met inclusion criteria, 45.3% of whom received chemotherapy. Median follow-up time was 66.4 (50.6-86.6) months. Patients who received chemotherapy were more likely to have higher-stage and higher-grade tumors, tumors that were PR-negative, and have higher RS (p < 0.001 for all). RS was prognostic for OS regardless of nodal status. After adjustment, chemotherapy was associated with a significant improvement in OS only in the pN1 RS 31-50 subgroup (p = 0.02). CONCLUSIONS RS retains its prognostic value in younger patients with early stage HR-positive, HER2-negative breast cancer. Chemotherapy survival benefit was limited to patients aged 40-50 with pN1 disease and RS of 31-50. Therefore, chemotherapy decision-making should be especially preference-sensitive in women aged 40-50 with intermediate RS, where it may not provide a survival benefit for many women.
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Affiliation(s)
- A L Nash
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Y Ren
- Duke Cancer Institute Biostatistics Shared Resources, Durham, NC, USA
| | - J K Plichta
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University, Durham, NC, USA
| | - L H Rosenberger
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University, Durham, NC, USA
| | - A M B van den Bruele
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University, Durham, NC, USA
| | - M L DiNome
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University, Durham, NC, USA
| | - K Westbrook
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
- Duke Cancer Institute, Duke University, Durham, NC, USA
| | - E Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, NC, USA.
- Duke Cancer Institute, Duke University, Durham, NC, USA.
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Ma SJ, Gill J, Waldman O, Yendamuri K, Dunne-Jaffe C, Chatterjee U, Fekrmandi F, Shekher R, Iovoli A, Yao S, Oladeru OT, Singh AK. Association of Neighborhood-Level Household Income With 21-Gene Recurrence Score and Survival Among Patients With Estrogen Receptor-Positive Breast Cancer. JAMA Netw Open 2023; 6:e230179. [PMID: 36809469 PMCID: PMC9945075 DOI: 10.1001/jamanetworkopen.2023.0179] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023] Open
Abstract
IMPORTANCE While low income has been associated with a higher incidence of triple-negative breast cancer, its association with 21-gene recurrence score (RS) among patients with estrogen receptor (ER)-positive breast cancer remains unclear. OBJECTIVE To evaluate the association of household income with RS and overall survival (OS) among patients with ER-positive breast cancer. DESIGN, SETTING, AND PARTICIPANTS This cohort study used data from the National Cancer Database. Eligible participants included women diagnosed between 2010 and 2018 with ER-positive, pT1-3N0-1aM0 breast cancer who received surgery followed by adjuvant endocrine therapy with or without chemotherapy. Data analysis was performed from July 2022 to September 2022. EXPOSURES Low vs high neighborhood-level household income levels defined as below vs above the median household income of $50 353 based on each patient's zip code. MAIN OUTCOMES AND MEASURES RS (a score ranged from 0 to 100 based on gene expression signatures indicating the risk of distant metastasis, with RS of 25 or below indicating non-high risk and RS above 25 indicating high risk) and OS. RESULTS Among 119 478 women (median [IQR] age, 60 [52-67] years; 4737 [4.0%] Asian and Pacific Islander, 9226 [7.7%] Black, 7245 [6.1%] Hispanic, 98 270 [82.2%] non-Hispanic White), 82 198 (68.8%) and 37 280 (31.2%) patients had high and low income, respectively. Logistic multivariable analysis (MVA) showed that, compared with high income, low income was associated with higher RS (adjusted odds ratio [aOR], 1.11; 95% CI, 1.06-1.16). Cox MVA showed that low income was also associated with worse OS (adjusted hazards ratio [aHR], 1.18; 95% CI, 1.11-1.25). Interaction term analysis showed a statistically significant interaction between income levels and RS (interaction P < .001). On subgroup analysis, significant findings were noted among those with RS below 26 (aHR, 1.21; 95% CI, 1.13-1.29), while there was no significant OS difference between income levels among others with RS of 26 or higher (aHR, 1.08; 95% CI, 0.96-1.22). CONCLUSIONS AND RELEVANCE Our study suggested that low household income was independently associated with higher 21-gene recurrence scores and significantly worse survival outcomes among those with scores below 26, but not 26 or higher. Further studies are warranted to investigate the association between socioeconomic determinants of health and intrinsic tumor biology among patients with breast cancer.
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Affiliation(s)
- Sung Jun Ma
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Jasmin Gill
- University at Buffalo, The State University of New York, Buffalo
| | - Olivia Waldman
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo
| | - Keerti Yendamuri
- University at Buffalo, The State University of New York, Buffalo
| | - Cynthia Dunne-Jaffe
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo
| | - Udit Chatterjee
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Fatemeh Fekrmandi
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Rohil Shekher
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Austin Iovoli
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Anurag K. Singh
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
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9
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Munir A, Holt S, Huws AM, Khan S, Davies DM, Khawaja S, Sharaiha Y. A 10 year service evaluation of the survival of 439 patients with early oestrogen receptor positive breast cancer who underwent initial OncotypeDX ® testing to guide adjuvant chemotherapy decisions. Cancer Treat Res Commun 2023; 34:100671. [PMID: 36587498 DOI: 10.1016/j.ctarc.2022.100671] [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: 10/19/2022] [Revised: 12/01/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To explore the long-term outcome of patients who underwent Oncotype DX® testing. The relationship between the RS, adjuvant treatments received, and clinical outcomes across the entire range of RS results are reported. METHODS 10-year Kaplan-Meier estimates for distant recurrence/BC-specific survival (BCSS) in this cohort. The analysis included 439 patients. The follow-up time ranged from 14 to 142 months. All analyses were performed using the SPSS v20. RESULTS More than half of patients had low RS (<18) (55.6%) and 15.3% had RS ≥ 31. Chemotherapy use was consistent with the RS with 4.4%, 7.1%, 28.0%, 71.4% and 91.0% receiving adjuvant chemotherapy in patients with RS < 11, 11-17, 18-25, 26-30, and ≥31, respectively. The overall chemotherapy rate was 27.6%. Distant metastasis free survival (DMFS) differed significantly (P < 0.001) between the RS groups with 10 year DMFS rates of 99% (SE +/- 0.01) in the RS<11, 97% (SE +/- 0.03) in the RS 11-17, 97% (SE +/- 0.02) in the RS 18-25, 85% (SE +/- 0.1) in the RS 26-30 and 74% (SE +/- 0.08) in the RS ≥ 31 group. Ten year breast cancer specific survival also differed significantly (P < 0.001) between the RS groups; this risk was 100% (no deaths from breast cancer reported in the first 10 years) in RS < 11, 95% (SE +/- 0.03) in RS 11-17, 94% (SE +/- 0.04) in RS 18-25, 93% (SE +/- 0.07) in RS 26-30, and 79% (SE +/- 0.07) in the RS ≥ 31 group. CONCLUSIONS Use of Oncotype DX RS does guide the treatment decisions and correlates with the BCSS and disease-free survival for ER positive, Her2 negative, early-stage, node negative breast cancer patients.
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Affiliation(s)
- Asma Munir
- Dept. of Breast Surgery, Prince Philip Hospital, United Kingdom.
| | - Simon Holt
- Dept. of Breast Surgery, Prince Philip Hospital, United Kingdom
| | | | - Sohail Khan
- Dept. of Breast Surgery, Prince Philip Hospital, United Kingdom
| | - Dr Mark Davies
- Dept. of Oncology, Prince Philip Hospital, United Kingdom
| | - Saira Khawaja
- Dept. of Breast Surgery, Prince Philip Hospital, United Kingdom
| | - Yousef Sharaiha
- Dept. of Breast Surgery, Prince Philip Hospital, United Kingdom
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Lemij AA, Baltussen JC, de Glas NA, Kroep JR, Derks MGM, Liefers GJ, Portielje JEA. Gene expression signatures in older patients with breast cancer: A systematic review. Crit Rev Oncol Hematol 2023; 181:103884. [PMID: 36442749 DOI: 10.1016/j.critrevonc.2022.103884] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/15/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Gene expression signatures have emerged to predict prognosis and guide the use of adjuvant therapy in patients with hormone receptor-positive breast cancer. The objective of this systematic review was to evaluate the prognostic and predictive value of commercially available gene expression signatures as a tool in adjuvant treatment decision-making in older patients with breast cancer. METHODS PubMed, MEDLINE, Embase, Web of Science, Cochrane Library, and Emcare were reviewed for relevant articles published before December 2021. Eligible studies were randomised trials and cohort studies that externally validated commercially available gene expression signatures in patients aged 65 years and older, including studies that presented subanalyses of this age group. Data extraction and risk of bias assessment was performed independently by two investigators. RESULTS Fifteen studies were included. Most studies investigated Oncotype DX, while results from other gene expression signatures were limited. Several studies underlined the prognostic performance of Oncotype DX and Prosigna Risk of Recurrence in older patients. Moreover, Oncotype DX was predictive for older patients with an intermediate-risk recurrence score; chemotherapy could be spared in both lymph node-positive and lymph node-negative disease. CONCLUSIONS Prognostic performance has been demonstrated in older patients for several gene expression signatures. However, additional validation in patients with high-risk tumours is needed before gene expression signatures can be implemented in clinical practice as a prediction tool for adjuvant chemotherapy decision-making in the older age group.
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Affiliation(s)
- A A Lemij
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - J C Baltussen
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - N A de Glas
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - J R Kroep
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - M G M Derks
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - G J Liefers
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - J E A Portielje
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands.
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11
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Egelston CA, Guo W, Tan J, Avalos C, Simons DL, Lim MH, Huang YJ, Nelson MS, Chowdhury A, Schmolze DB, Yim JH, Kruper L, Melstrom L, Margolin K, Mortimer JE, Yuan Y, Waisman JR, Lee PP. Tumor-infiltrating exhausted CD8+ T cells dictate reduced survival in premenopausal estrogen receptor-positive breast cancer. JCI Insight 2022; 7:153963. [PMID: 35132960 PMCID: PMC8855819 DOI: 10.1172/jci.insight.153963] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 12/21/2021] [Indexed: 12/31/2022] Open
Abstract
CD8+ tumor-infiltrating lymphocytes (TILs) are associated with improved survival in triple-negative breast cancer (TNBC) yet have no association with survival in estrogen receptor–positive (ER+) BC. The basis for these contrasting findings remains elusive. We identified subsets of BC tumors infiltrated by CD8+ T cells with characteristic features of exhausted T cells (TEX). Tumors with abundant CD8+ TEX exhibited a distinct tumor microenvironment marked by amplified interferon-γ signaling–related pathways and higher programmed death ligand 1 expression. Paradoxically, higher levels of tumor-infiltrating CD8+ TEX associated with decreased overall survival of patients with ER+ BC but not patients with TNBC. Moreover, high tumor expression of a CD8+ TEX signature identified dramatically reduced survival in premenopausal, but not postmenopausal, patients with ER+ BC. Finally, we demonstrated the value of a tumor TEX signature score in identifying high-risk premenopausal ER+ BC patients among those with intermediate Oncotype DX Breast Recurrence Scores. Our data highlight the complex relationship between CD8+ TILs, interferon-γ signaling, and ER status in BC patient survival. This work identifies tumor-infiltrating CD8+ TEX as a key feature of reduced survival outcomes in premenopausal patients with early-stage ER+ BC.
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Affiliation(s)
| | - Weihua Guo
- Department of Immuno-Oncology, Beckman Research Institute
| | - Jiayi Tan
- Department of Immuno-Oncology, Beckman Research Institute
| | | | - Diana L Simons
- Department of Immuno-Oncology, Beckman Research Institute
| | - Min Hui Lim
- Department of Immuno-Oncology, Beckman Research Institute
| | | | - Michael S Nelson
- Light Microscopy Digital Imaging Core, Beckman Research Institute
| | - Arnab Chowdhury
- Division of Biostatistics, Department of Computational and Quantitative Medicine, Beckman Research Institute; and
| | | | | | | | | | - Kim Margolin
- Department of Medical Oncology & Therapeutics Research, City of Hope, Duarte, California, USA
| | - Joanne E Mortimer
- Department of Medical Oncology & Therapeutics Research, City of Hope, Duarte, California, USA
| | - Yuan Yuan
- Department of Medical Oncology & Therapeutics Research, City of Hope, Duarte, California, USA
| | - James R Waisman
- Department of Medical Oncology & Therapeutics Research, City of Hope, Duarte, California, USA
| | - Peter P Lee
- Department of Immuno-Oncology, Beckman Research Institute
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12
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Khella CA, Mehta GA, Mehta RN, Gatza ML. Recent Advances in Integrative Multi-Omics Research in Breast and Ovarian Cancer. J Pers Med 2021; 11:149. [PMID: 33669749 PMCID: PMC7922242 DOI: 10.3390/jpm11020149] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 02/13/2021] [Accepted: 02/14/2021] [Indexed: 02/07/2023] Open
Abstract
The underlying molecular heterogeneity of cancer is responsible for the dynamic clinical landscape of this disease. The combination of genomic and proteomic alterations, including both inherited and acquired mutations, promotes tumor diversity and accounts for variable disease progression, therapeutic response, and clinical outcome. Recent advances in high-throughput proteogenomic profiling of tumor samples have resulted in the identification of novel oncogenic drivers, tumor suppressors, and signaling networks; biomarkers for the prediction of drug sensitivity and disease progression; and have contributed to the development of novel and more effective treatment strategies. In this review, we will focus on the impact of historical and recent advances in single platform and integrative proteogenomic studies in breast and ovarian cancer, which constitute two of the most lethal forms of cancer for women, and discuss the molecular similarities of these diseases, the impact of these findings on our understanding of tumor biology as well as the clinical applicability of these discoveries.
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Affiliation(s)
- Christen A Khella
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Gaurav A Mehta
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Rushabh N Mehta
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Michael L Gatza
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
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