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Deng EZ, Marino GB, Clarke DJB, Diamant I, Resnick AC, Ma W, Wang P, Ma'ayan A. Multiomics2Targets identifies targets from cancer cohorts profiled with transcriptomics, proteomics, and phosphoproteomics. CELL REPORTS METHODS 2024; 4:100839. [PMID: 39127042 PMCID: PMC11384097 DOI: 10.1016/j.crmeth.2024.100839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 06/06/2024] [Accepted: 07/19/2024] [Indexed: 08/12/2024]
Abstract
The availability of data from profiling of cancer patients with multiomics is rapidly increasing. However, integrative analysis of such data for personalized target identification is not trivial. Multiomics2Targets is a platform that enables users to upload transcriptomics, proteomics, and phosphoproteomics data matrices collected from the same cohort of cancer patients. After uploading the data, Multiomics2Targets produces a report that resembles a research publication. The uploaded matrices are processed, analyzed, and visualized using the tools Enrichr, KEA3, ChEA3, Expression2Kinases, and TargetRanger to identify and prioritize proteins, genes, and transcripts as potential targets. Figures and tables, as well as descriptions of the methods and results, are automatically generated. Reports include an abstract, introduction, methods, results, discussion, conclusions, and references and are exportable as citable PDFs and Jupyter Notebooks. Multiomics2Targets is applied to analyze version 3 of the Clinical Proteomic Tumor Analysis Consortium (CPTAC3) pan-cancer cohort, identifying potential targets for each CPTAC3 cancer subtype. Multiomics2Targets is available from https://multiomics2targets.maayanlab.cloud/.
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Affiliation(s)
- Eden Z Deng
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Giacomo B Marino
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Daniel J B Clarke
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Ido Diamant
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Adam C Resnick
- Center for Data Driven Discovery in Biomedicine, Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1498, New York, NY 10029, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1498, New York, NY 10029, USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
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Ensenyat-Mendez M, Solivellas-Pieras M, Llinàs-Arias P, Íñiguez-Muñoz S, Baker JL, Marzese DM, DiNome ML. Epigenetic Profiles of Triple-Negative Breast Cancers of African American and White Females. JAMA Netw Open 2023; 6:e2335821. [PMID: 37796506 PMCID: PMC10556970 DOI: 10.1001/jamanetworkopen.2023.35821] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/22/2023] [Indexed: 10/06/2023] Open
Abstract
Importance Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and appears to have disproportionately higher incidence and worse outcomes among younger African American females. Objective To investigate whether epigenetic differences exist in TNBCs of younger African American females that may explain clinical disparities seen in this patient group. Design, Setting, and Participants This cross-sectional study used clinical, demographic, DNA methylation (HumanMethylation450; Illumina), and gene expression (RNA sequencing) data for US patient populations from publicly available data repositories (The Cancer Genome Atlas [TCGA], 2006-2012, and Gene Expression Omnibus [GEO], 2004-2013) accessed on April 13, 2021. White and African American females with TNBC identified in TCGA (69 patients) and a validation cohort of 210 African American patients from GEO (GSE142102) were included. Patients without available race or age data were excluded. Data were analyzed from September 2022 through April 2023. Main Outcomes and Measures DNA methylation and gene expression profiles of TNBC tumors by race (self-reported) and age were assessed. Age was considered a dichotomous variable using age 50 years as the cutoff (younger [<50 years] vs older [≥50 years]). Results A total of 69 female patients (34 African American [49.3%] and 35 White [50.7%]; mean [SD; range] age, 55.7 [11.6; 29-82] years) with TNBC were included in the DNA methylation analysis; these patients and 210 patients in the validation cohort were included in the gene expression analysis (279 patients). There were 1115 differentially methylated sites among younger African American females. The DNA methylation landscape on TNBC tumors in this population had increased odds of enrichment of hormone (odds ratio [OR], 1.82; 95% CI, 1.21 to 2.67; P = .003), muscle (OR, 1.85; 95% CI, 1.44 to 2.36; P < .001), and proliferation (OR, 3.14; 95% CI, 2.71 to 3.64; P < .001) pathways vs other groups (older African American females and all White females). Alterations in regulators of these molecular features in TNBCs of younger African American females were identified involving hormone modulation (downregulation of androgen receptor: fold change [FC] = -2.93; 95% CI, -4.76 to -2.11; P < .001) and upregulation of estrogen-related receptor α (FC = 0.86; 95% CI, 0.34 to 1.38; P = .002), muscle metabolism (upregulation of FOXC1: FC = 1.33; 95% CI, 0.62 to 2.03; P < .001), and proliferation mediators (upregulation of NOTCH1: FC = 0.71; 95% CI, 0.23 to 1.19; P = .004 and MYC (FC = 0.81; 95% CI, 0.18 to 1.45; P = .01). Conclusions and Relevance These findings suggest that TNBC of younger African American females may represent a distinct epigenetic entity and offer novel insight into molecular alterations associated with TNBCs of this population. Understanding these epigenetic differences may lead to the development of more effective therapies for younger African American females, who have the highest incidence and worst outcomes from TNBC of any patient group.
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Affiliation(s)
- Miquel Ensenyat-Mendez
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Health Research Institute of the Balearic Islands, Palma, Spain
| | - Maria Solivellas-Pieras
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Health Research Institute of the Balearic Islands, Palma, Spain
| | - Pere Llinàs-Arias
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Health Research Institute of the Balearic Islands, Palma, Spain
| | - Sandra Íñiguez-Muñoz
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Health Research Institute of the Balearic Islands, Palma, Spain
| | - Jennifer L. Baker
- Department of Surgery, David Geffen School of Medicine, University California, Los Angeles
| | - Diego M. Marzese
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Health Research Institute of the Balearic Islands, Palma, Spain
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Maggie L. DiNome
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina
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Xin W, Zhang J, Zhang H, Ma X, Zhang Y, Li Y, Wang F. CLCA2 overexpression suppresses epithelial-to-mesenchymal transition in cervical cancer cells through inactivation of ERK/JNK/p38-MAPK signaling pathways. BMC Mol Cell Biol 2022; 23:44. [PMID: 36280802 PMCID: PMC9594891 DOI: 10.1186/s12860-022-00440-7] [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: 07/23/2021] [Accepted: 08/19/2022] [Indexed: 11/10/2022] Open
Abstract
Cervical cancer is an important malignant tumor threatening the physical and mental health of women in the world. As a new calcium activated chloride channel protein, calcium activated chloride channel (CLCA2) plays an important role in tumorigenesis and development. But its role and exact regulatory mechanism in cervical cancer are still unclear. In our study, we found CLCA2 was significantly decreased in cervical cancer cells, and overexpression of CLCA2 inhibited the proliferation, migration and invasion, and promotes apoptosis of cervical cancer cells, and CLCA2 inhibited EMT (Epithelial-mesenchymal transition) through an p38 / JNK / ERK pathway. The results in vivo were consistent with those in vitro. In conclusion, overexpression of CLCA2 inhibited the progression of cervical cancer in vivo and in vitro. This may provide a theoretical basis for CLCA2 as a new indicator of clinical diagnosis and prognosis of cervical cancer or as a potential target of drug therapy.
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Affiliation(s)
- Wenhu Xin
- grid.411294.b0000 0004 1798 9345Department of Gynecology, Lanzhou University Second Hospital, Lanzhou, 730030 China ,grid.411294.b0000 0004 1798 9345The Second Clinical Medical College of Lanzhou University, Lanzhou, 730000 China
| | - Jian Zhang
- grid.411294.b0000 0004 1798 9345The Second Clinical Medical College of Lanzhou University, Lanzhou, 730000 China
| | - Haibin Zhang
- grid.411294.b0000 0004 1798 9345Department of Gynecology, Lanzhou University Second Hospital, Lanzhou, 730030 China
| | - Xueyao Ma
- grid.411294.b0000 0004 1798 9345Department of Gynecology, Lanzhou University Second Hospital, Lanzhou, 730030 China
| | - Yunzhong Zhang
- grid.411294.b0000 0004 1798 9345Department of Gynecology, Lanzhou University Second Hospital, Lanzhou, 730030 China
| | - Yufeng Li
- grid.411294.b0000 0004 1798 9345Department of Gynecology, Lanzhou University Second Hospital, Lanzhou, 730030 China
| | - Fang Wang
- grid.411294.b0000 0004 1798 9345The Second Clinical Medical College of Lanzhou University, Lanzhou, 730000 China ,grid.411294.b0000 0004 1798 9345Department of Reproductive Medicine, Lanzhou University Second Hospital, No.82, Cuiying Road, Chengguan District, Lanzhou, 730030 China
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Zhou Y, Che Y, Fu Z, Zhang H, Wu H. Triple-Negative Breast Cancer Analysis Based on Metabolic Gene Classification and Immunotherapy. Front Public Health 2022; 10:902378. [PMID: 35875026 PMCID: PMC9296841 DOI: 10.3389/fpubh.2022.902378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/23/2022] [Indexed: 12/24/2022] Open
Abstract
Triple negative breast cancer (TNBC) has negative expression of ER, PR and HER-2. TNBC shows high histological grade and positive rate of lymph node metastasis, easy recurrence and distant metastasis. Molecular typing based on metabolic genes can reflect deeper characteristics of breast cancer and provide support for prognostic evaluation and individualized treatment. Metabolic subtypes of TNBC samples based on metabolic genes were determined by consensus clustering. CIBERSORT method was applied to evaluate the score distribution and differential expression of 22 immune cells in the TNBC samples. Linear discriminant analysis (LDA) established a subtype classification feature index. Kaplan-Meier (KM) and receiver operating characteristic (ROC) curves were generated to validate the performance of prognostic metabolic subtypes in different datasets. Finally, we used weighted correlation network analysis (WGCNA) to cluster the TCGA expression profile dataset and screen the co-expression modules of metabolic genes. Consensus clustering of the TCGA cohort/dataset obtained three metabolic subtypes (MC1, MC2, and MC3). The ROC analysis showed a high prognostic performance of the three clusters in different datasets. Specifically, MC1 had the optimal prognosis, MC3 had a poor prognosis, and the three metabolic subtypes had different prognosis. Consistently, the immune characteristic index established based on metabolic subtypes demonstrated that compared with the other two subtypes, MC1 had a higher IFNγ score, T cell lytic activity and lower angiogenesis score, T cell dysfunction and rejection score. TIDE analysis showed that MC1 patients were more likely to benefit from immunotherapy. MC1 patients were more sensitive to immune checkpoint inhibitors and traditional chemotherapy drugs Cisplatin, Paclitaxel, Embelin, and Sorafenib. Multiclass AUC based on RNASeq and GSE datasets were 0.85 and 0.85, respectively. Finally, based on co-expression network analysis, we screened 7 potential gene markers related to metabolic characteristic index, of which CLCA2, REEP6, SPDEF, and CRAT can be used to indicate breast cancer prognosis. Molecular classification related to TNBC metabolism was of great significance for comprehensive understanding of the molecular pathological characteristics of TNBC, contributing to the exploration of reliable markers for early diagnosis of TNBC and predicting metastasis and recurrence, improvement of the TNBC staging system, guiding individualized treatment.
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Affiliation(s)
- Yu Zhou
- Oncology Department, The First Affiliated Hospital of Jiamusi University, Jiamusi, China
| | - Yingqi Che
- Hematology-Oncology Department, Long Nan Hospital, Daqing, China
| | - Zhongze Fu
- Gastroenterology Department, The First Hospital of Qiqihar, Qiqihar, China
| | - Henan Zhang
- Oncology Department, The First Affiliated Hospital of Jiamusi University, Jiamusi, China
| | - Huiyu Wu
- Third Department of Oncology, People's Hospital of Daqing, Daqing, China
- *Correspondence: Huiyu Wu
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Bhatt AB, Wright TD, Barnes V, Chakrabarty S, Matossian MD, Lexner E, Ucar DA, Miele L, Flaherty PT, Burow ME, Cavanaugh JE. Diverse and converging roles of ERK1/2 and ERK5 pathways on mesenchymal to epithelial transition in breast cancer. Transl Oncol 2021; 14:101046. [PMID: 33761370 PMCID: PMC8020482 DOI: 10.1016/j.tranon.2021.101046] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 01/15/2021] [Accepted: 02/15/2021] [Indexed: 11/27/2022] Open
Abstract
The epithelial to mesenchymal transition (EMT) is characterized by a loss of cell polarity, a decrease in the epithelial cell marker E-cadherin, and an increase in mesenchymal markers including the zinc-finger E-box binding homeobox (ZEB1). The EMT is also associated with an increase in cell migration and anchorage-independent growth. Induction of a reversal of the EMT, a mesenchymal to epithelial transition (MET), is an emerging strategy being explored to attenuate the metastatic potential of aggressive cancer types, such as triple-negative breast cancers (TNBCs) and tamoxifen-resistant (TAMR) ER-positive breast cancers, which have a mesenchymal phenotype. Patients with these aggressive cancers have poor prognoses, quick relapse, and resistance to most chemotherapeutic drugs. Overexpression of extracellular signal-regulated kinase (ERK) 1/2 and ERK5 is associated with poor patient survival in breast cancer. Moreover, TNBC and tamoxifen resistant cancers are unresponsive to most targeted clinical therapies and there is a dire need for alternative therapies. In the current study, we found that MAPK3, MAPK1, and MAPK7 gene expression correlated with EMT markers and poor overall survival in breast cancer patients using publicly available datasets. The effect of ERK1/2 and ERK5 pathway inhibition on MET was evaluated in MDA-MB-231, BT-549 TNBC cells, and tamoxifen-resistant MCF-7 breast cancer cells. Moreover, TU-BcX-4IC patient-derived primary TNBC cells were included to enhance the translational relevance of our study. We evaluated the effect of pharmacological inhibitors and lentivirus-induced activation or inhibition of the MEK1/2-ERK1/2 and MEK5-ERK5 pathways on cell morphology, E-cadherin, vimentin and ZEB1 expression. Additionally, the effects of pharmacological inhibition of trametinib and XMD8-92 on nuclear localization of ERK1/2 and ERK5, cell migration, proliferation, and spheroid formation were evaluated. Novel compounds that target the MEK1/2 and MEK5 pathways were used in combination with the AKT inhibitor ipatasertib to understand cell-specific responses to kinase inhibition. The results from this study will aid in the design of innovative therapeutic strategies that target cancer metastases.
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Affiliation(s)
- Akshita B Bhatt
- Department of Pharmacology, School of Pharmacy, Duquesne University, Pittsburgh, PA 15219, USA
| | - Thomas D Wright
- Department of Pharmacology, School of Pharmacy, Duquesne University, Pittsburgh, PA 15219, USA
| | - Van Barnes
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Suravi Chakrabarty
- Department of Medicinal Chemistry, School of Pharmacy, Duquesne University, Pittsburgh, PA 15282, USA
| | - Margarite D Matossian
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Erin Lexner
- Department of Pharmacology, School of Pharmacy, Duquesne University, Pittsburgh, PA 15219, USA
| | - Deniz A Ucar
- Department of Genetics and Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Lucio Miele
- Department of Genetics and Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Patrick T Flaherty
- Department of Medicinal Chemistry, School of Pharmacy, Duquesne University, Pittsburgh, PA 15282, USA
| | - Matthew E Burow
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Jane E Cavanaugh
- Department of Pharmacology, School of Pharmacy, Duquesne University, Pittsburgh, PA 15219, USA.
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Wu S, Wang J, Zhu X, Chyr J, Zhou X, Wu X, Huang L. The Functional Impact of Alternative Splicing on the Survival Prognosis of Triple-Negative Breast Cancer. Front Genet 2021; 11:604262. [PMID: 33519909 PMCID: PMC7841428 DOI: 10.3389/fgene.2020.604262] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/16/2020] [Indexed: 12/30/2022] Open
Abstract
Purpose Triple-negative breast cancer (TNBC) is a type of breast cancer (BC) showing a high recurrence ratio and a low survival probability, which requires novel actionable molecular targets. The involvement of alternative splicing (AS) in TNBC promoted us to study the potential roles of AS events in the survival prognosis of TNBC patients. Methods A total of 150 TNBC patients from The Cancer Genome Atlas (TCGA) were involved in this work. To study the effects of AS in the recurrence-free survival (RFS) prognosis of TNBC, we performed the analyses as follows. First, univariate Cox regression model was applied to identify RFS-related AS events. Their host genes were analyzed by Metascape to discover the potential functions and involved pathways. Next, least absolute shrinkage and selection operator (LASSO) method was used to select the most informative RFS-related AS events to constitute an AS risk factor for RFS prognosis, which was evaluated by Kaplan–Meier (KM) and receiver operating characteristic (ROC) curves in all the data and also in different clinical subgroups. Furthermore, we analyzed the relationships between splicing factors (SFs) and these RFS-related AS events to seek the possibility that SFs regulated AS events to influence RFS. Then, we evaluated the potential of these RFS-related AS events in the overall survival (OS) prognosis from all the above aspects. Results We identified a total of 546 RFS-related AS events, which were enriched in some splicing and TNBC-associated pathways. Among them, seven RFS-related events were integrated into a risk factor, exhibiting satisfactory RFS prognosis alone and even better performance when combined with clinical tumor–node–metastasis stages. Furthermore, the correlation analysis between SFs and the seven AS events revealed the hypotheses that SRPK3 might upregulate PCYT2_44231_AA to have an effect on RFS prognosis and that three other SFs may work together to downregulate FLAD1_7874_RI to influence RFS prognosis. In addition, the seven RFS-related AS events were validated to be promising in the OS prognosis of TNBC as well. Conclusion The abnormal AS events regulated by SFs may act as a kind of biomarker for the survival prognosis of TNBC.
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Affiliation(s)
- Sijia Wu
- School of Life Sciences and Technology, Xidian University, Xi'an, China.,Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Jiachen Wang
- School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Xinchao Zhu
- School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Jacqueline Chyr
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Xiaoming Wu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Liyu Huang
- School of Life Sciences and Technology, Xidian University, Xi'an, China
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Charan M, Verma AK, Hussain S, Misri S, Mishra S, Majumder S, Ramaswamy B, Ahirwar D, Ganju RK. Molecular and Cellular Factors Associated with Racial Disparity in Breast Cancer. Int J Mol Sci 2020; 21:ijms21165936. [PMID: 32824813 PMCID: PMC7460595 DOI: 10.3390/ijms21165936] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 08/10/2020] [Accepted: 08/13/2020] [Indexed: 02/06/2023] Open
Abstract
Recent studies have demonstrated that racial differences can influence breast cancer incidence and survival rate. African American (AA) women are at two to three fold higher risk for breast cancer than other ethnic groups. AA women with aggressive breast cancers show worse prognoses and higher mortality rates relative to Caucasian (CA) women. Over the last few years, effective treatment strategies have reduced mortality from breast cancer. Unfortunately, the breast cancer mortality rate among AA women remains higher compared to their CA counterparts. The focus of this review is to underscore the racial differences and differential regulation/expression of genetic signatures in CA and AA women with breast cancer. Moreover, immune cell infiltration significantly affects the clinical outcome of breast cancer. Here, we have reviewed recent findings on immune cell recruitment in the tumor microenvironment (TME) and documented its association with breast cancer racial disparity. In addition, we have extensively discussed the role of cytokines, chemokines, and other cell signaling molecules among AA and CA breast cancer patients. Furthermore, we have also reviewed the distinct genetic and epigenetic changes in AA and CA patients. Overall, this review article encompasses various molecular and cellular factors associated with breast cancer disparity that affects mortality and clinical outcome.
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Affiliation(s)
- Manish Charan
- Department of Pathology, Ohio State University, Columbus, OH 43210, USA; (M.C.); (A.K.V.); (S.H.); (S.M.); (S.M.)
| | - Ajeet K. Verma
- Department of Pathology, Ohio State University, Columbus, OH 43210, USA; (M.C.); (A.K.V.); (S.H.); (S.M.); (S.M.)
| | - Shahid Hussain
- Department of Pathology, Ohio State University, Columbus, OH 43210, USA; (M.C.); (A.K.V.); (S.H.); (S.M.); (S.M.)
| | - Swati Misri
- Department of Pathology, Ohio State University, Columbus, OH 43210, USA; (M.C.); (A.K.V.); (S.H.); (S.M.); (S.M.)
| | - Sanjay Mishra
- Department of Pathology, Ohio State University, Columbus, OH 43210, USA; (M.C.); (A.K.V.); (S.H.); (S.M.); (S.M.)
| | - Sarmila Majumder
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA; (S.M.); (B.R.)
| | - Bhuvaneswari Ramaswamy
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA; (S.M.); (B.R.)
| | - Dinesh Ahirwar
- Department of Pathology, Ohio State University, Columbus, OH 43210, USA; (M.C.); (A.K.V.); (S.H.); (S.M.); (S.M.)
- Correspondence: (D.A.); (R.K.G.)
| | - Ramesh K. Ganju
- Department of Pathology, Ohio State University, Columbus, OH 43210, USA; (M.C.); (A.K.V.); (S.H.); (S.M.); (S.M.)
- Comprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA; (S.M.); (B.R.)
- Correspondence: (D.A.); (R.K.G.)
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