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Yang X, Liu Q, Guo Z, Yang X, Li K, Han B, Zhang M, Sun M, Huang L, Cai G, Wu Y. Promoter profiles in plasma CfDNA exhibits a potential utility of predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Res 2024; 26:112. [PMID: 38965610 PMCID: PMC11225256 DOI: 10.1186/s13058-024-01860-3] [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: 04/07/2024] [Accepted: 06/19/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND Gene expression profiles in breast tissue biopsies contain information related to chemotherapy efficacy. The promoter profiles in cell-free DNA (cfDNA) carrying gene expression information of the original tissues may be used to predict the response to neoadjuvant chemotherapy in breast cancer as a non-invasive biomarker. In this study, the feasibility of the promoter profiles in plasma cfDNA was evaluated as a novel clinical model for noninvasively predicting the efficacy of neoadjuvant chemotherapy in breast cancer. METHOD First of all, global chromatin (5 Mb windows), sub-compartments and promoter profiles in plasma cfDNA samples from 94 patients with breast cancer before neoadjuvant chemotherapy (pCR = 31 vs. non-pCR = 63) were analyzed, and then classifiers were developed for predicting the efficacy of neoadjuvant chemotherapy in breast cancer. Further, the promoter profile changes in sequential cfDNA samples from 30 patients (pCR = 8 vs. non-pCR = 22) during neoadjuvant chemotherapy were analyzed to explore the potential benefits of cfDNA promoter profile changes as a novel potential biomarker for predicting the treatment efficacy. RESULTS The results showed significantly distinct promoter profile in plasma cfDNA of pCR patients compared with non-pCR patients before neoadjuvant chemotherapy. The classifier based on promoter profiles in a Random Forest model produced the largest area under the curve of 0.980 (95% CI: 0.978-0.983). After neoadjuvant chemotherapy, 332 genes with significantly differential promoter profile changes in sequential cfDNA samples of pCR patients was observed, compared with non-pCR patients, and their functions were closely related to treatment response. CONCLUSION These results suggest that promoter profiles in plasma cfDNA may be a powerful, non-invasive tool for predicting the efficacy of neoadjuvant chemotherapy breast cancer patients before treatment, and the on-treatment cfDNA promoter profiles have potential benefits for predicting the treatment efficacy.
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Affiliation(s)
- Xu Yang
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Qing Liu
- Department of Pathology, The First People's Hospital of Foshan, Foshan, China
| | - Zhiwei Guo
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Xuexi Yang
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Kun Li
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Bowei Han
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Min Zhang
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Minying Sun
- Department of Primary Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Limin Huang
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Gengxi Cai
- Department of Pathology, The First People's Hospital of Foshan, Foshan, China.
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Yingsong Wu
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China.
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Singh A, Georgy JT, Dhananjayan S, Sigamani E, John AO, Joel A, Chandramohan J, Abarna R, Rebekah G, Backianathan S, Abraham DT, Paul MJ, Chacko RT, Manipadam MT, Pai R. Comparative analysis of mutational patterns in triple negative breast cancer before and after neoadjuvant chemotherapy in patients with residual disease. Gene 2024; 895:147980. [PMID: 37951371 DOI: 10.1016/j.gene.2023.147980] [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: 06/07/2023] [Revised: 09/13/2023] [Accepted: 11/08/2023] [Indexed: 11/14/2023]
Abstract
Triple-negative breast cancer (TNBC) is a heterogeneous disease with poor survival compared to other subtypes. Patients with residual disease after neoadjuvant chemotherapy (NAC) face an increased risk of relapse and death. We aimed to characterize the mutational landscape of this subset to offer insights into relapse pathogenesis and potential therapeutic targets. We retrospectively analyzed archived paired (pre- and post-NAC) tumor samples from 25 patients with TNBC with residual disease using a targeted 72-gene next-generation sequencing panel. Our findings revealed a stable mutational burden in both pre- and post-NAC samples, with a median count of 12 variants (IQR 7-17.25) per sample. TP53, PMS2, PTEN, ERBB2, and NOTCH1 variants were observed in pre-NAC samples predominantly. Notably, post-NAC samples exhibited a significant increase in AR gene mutations, suggesting potential prognostic and predictive implications. No difference in mutational burden was found between patients who did and did not receive platinum (p = 0.94), or between those with and without recurrence (p = 0.49). We employed K-means clustering to categorize the patients based on their variant profiles, aiding in the prediction of possible patterns associated with recurrence. Our study was limited by its small sample size and retrospective design, suggesting the need for further validation in larger prospective cohorts.
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Affiliation(s)
- Ashish Singh
- Department of Medical Oncology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Josh Thomas Georgy
- Department of Medical Oncology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Sakthi Dhananjayan
- Department of Pathology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Elanthenral Sigamani
- Department of Pathology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Ajoy Oommen John
- Department of Medical Oncology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Anjana Joel
- Department of Medical Oncology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Jagan Chandramohan
- Department of Pathology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Rajadurai Abarna
- Department of Pathology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Grace Rebekah
- Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Selvamani Backianathan
- Department of Radiotherapy, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Deepak Thomas Abraham
- Department of Endocrine Surgery, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | | | - Raju Titus Chacko
- Department of Medical Oncology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | | | - Rekha Pai
- Department of Pathology, Christian Medical College, Vellore, Tamil Nadu 632004, India.
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Gardi N, Chaubal R, Parab P, Pachakar S, Kulkarni S, Shet T, Joshi S, Kembhavi Y, Chandrani P, Quist J, Kowtal P, Grigoriadis A, Sarin R, Govindarajan R, Gupta S. Natural History of Germline BRCA1 Mutated and BRCA Wild-type Triple-negative Breast Cancer. CANCER RESEARCH COMMUNICATIONS 2024; 4:404-417. [PMID: 38315150 PMCID: PMC10865976 DOI: 10.1158/2767-9764.crc-23-0277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/09/2023] [Accepted: 01/26/2024] [Indexed: 02/07/2024]
Abstract
We report a deep next-generation sequencing analysis of 13 sequentially obtained tumor samples, eight sequentially obtained circulating tumor DNA (ctDNA) samples and three germline DNA samples over the life history of 3 patients with triple-negative breast cancer (TNBC), 2 of whom had germline pathogenic BRCA1 mutation, to unravel tumor evolution. Tumor tissue from all timepoints and germline DNA was subjected to whole-exome sequencing (WES), custom amplicon deep sequencing (30,000X) of a WES-derived somatic mutation panel, and SNP arrays for copy-number variation (CNV), while whole transcriptome sequencing (RNA-seq) was performed only on somatic tumor.There was enrichment of homologous recombination deficiency signature in all tumors and widespread CNV, which remained largely stable over time. Somatic tumor mutation numbers varied between patients and within each patient (range: 70-216, one outlier). There was minimal mutational overlap between patients with TP53 being the sole commonly mutated gene, but there was substantial overlap in sequential samples in each patient. Each patient's tumor contained a founding ("stem") clone at diagnosis, which persisted over time, from which all other clones ("subclone") were derived ("branching evolution"), which contained mutations in well-characterized cancer-related genes like PDGFRB, ARID2, TP53 (Patient_02), TP53, BRAF, BRIP1, CSF3R (Patient_04), and TP53, APC, EZH2 (Patient_07). Including stem and subclones, tumors from all patients were polyclonal at diagnosis and during disease progression. ctDNA recapitulated most tissue-derived stem clonal and subclonal mutations while detecting some additional subclonal mutations. RNA-seq revealed a stable basal-like pattern, with most highly expressed variants belonging to stem clone. SIGNIFICANCE In germline BRCA1 mutated and BRCA wild-type patients, TNBC shows a branching evolutionary pattern of mutations with a single founding clone, are polyclonal throughout their disease course, and have widespread copy-number aberrations. This evolutionary pattern may be associated with treatment resistance or sensitivity and could be therapeutically exploited.
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Affiliation(s)
- Nilesh Gardi
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Clinician Scientist Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Rohan Chaubal
- Clinician Scientist Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
- Homi Bhabha National Institute, Mumbai
- Department of Surgical Oncology, Tata Memorial Centre, Mumbai
| | - Pallavi Parab
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Sunil Pachakar
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Clinician Scientist Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Suyash Kulkarni
- Homi Bhabha National Institute, Mumbai
- Department of Radiodiagnosis, Tata Memorial Centre, Mumbai
| | - Tanuja Shet
- Homi Bhabha National Institute, Mumbai
- Department of Pathology, Tata Memorial Centre, Mumbai
| | - Shalaka Joshi
- Homi Bhabha National Institute, Mumbai
- Department of Surgical Oncology, Tata Memorial Centre, Mumbai
| | - Yogesh Kembhavi
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Pratik Chandrani
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Jelmar Quist
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
- School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
- Breast Cancer Now Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Pradnya Kowtal
- Homi Bhabha National Institute, Mumbai
- DNA sequencing Facility, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
| | - Anita Grigoriadis
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
- School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
- Breast Cancer Now Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Rajiv Sarin
- Homi Bhabha National Institute, Mumbai
- Department of Radiation Oncology, Tata Memorial Centre, Mumbai
| | | | - Sudeep Gupta
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Clinician Scientist Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
- Homi Bhabha National Institute, Mumbai
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Aguilar-Mahecha A, Alirezaie N, Lafleur J, Bareke E, Przybytkowski E, Lan C, Cavallone L, Salem M, Pelmus M, Aleynikova O, Greenwood C, Lovato A, Ferrario C, Boileau JF, Mihalcioiu C, Roy JA, Marcus E, Discepola F, Majewski J, Basik M. The Mutational Spectrum of Pre- and Post-Neoadjuvant Chemotherapy Triple-Negative Breast Cancers. Genes (Basel) 2023; 15:27. [PMID: 38254917 PMCID: PMC10815241 DOI: 10.3390/genes15010027] [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: 11/04/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
The response of triple-negative breast cancer (TNBC) patients to pre-operative (neoadjuvant chemotherapy) is a critical factor of their outcome. To determine the effects of chemotherapy on the tumor genome and to identify mutations associated with chemoresistance and sensitivity, we performed whole exome sequencing on pre/post-chemotherapy tumors and matched lymphocytes from 26 patients. We observed great inter-tumoral heterogeneity with no gene mutated recurrently in more than four tumors besides TP53. Although the degree of response to chemotherapy in residual tumors was associated with more subclonal changes during chemotherapy, there was minimal evolution between pre/post-tumors. Indeed, gene sets enriched for mutations in pre- and post-chemotherapy tumors were very similar and reflected genes involved in the biological process of neurogenesis. Somatically mutated genes present in chemosensitive tumors included COL1A2, PRMD15, APOBEC3B, PALB2 and histone protein encoding genes, while BRCA1, ATR, ARID1A, XRCC3 and genes encoding for tubulin-associated proteins were present in the chemoresistant tumors. We also found that the mutational spectrum of post-chemotherapy tumors was more reflective of matching metastatic tumor biopsies than pre-chemotherapy samples. These findings support a portrait of modest ongoing genomic instability with respect to single-nucleotide variants induced by or selected for by chemotherapy in TNBCs.
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Affiliation(s)
- Adriana Aguilar-Mahecha
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Najmeh Alirezaie
- Department of Human Genetics, McGill University, Montreal, QC H3A 1A4, Canada; (N.A.); (J.M.)
| | - Josiane Lafleur
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Eric Bareke
- Department of Human Genetics, McGill University, Montreal, QC H3A 1A4, Canada; (N.A.); (J.M.)
| | - Ewa Przybytkowski
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Cathy Lan
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Luca Cavallone
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Myriam Salem
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Manuela Pelmus
- Department of Pathology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Olga Aleynikova
- Department of Pathology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Celia Greenwood
- Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; (C.G.)
| | - Amanda Lovato
- Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; (C.G.)
| | - Cristiano Ferrario
- Department of Oncology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | | | | | - Josée-Anne Roy
- Hôpital du Sacré-Cœur de Montréal, Montreal, QC H4J 1C5, Canada;
| | | | - Federico Discepola
- Department of Radiology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Jacek Majewski
- Department of Human Genetics, McGill University, Montreal, QC H3A 1A4, Canada; (N.A.); (J.M.)
| | - Mark Basik
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
- Department of Oncology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
- McGill University Health Center, Montreal, QC H3A 3J1, Canada
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5
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Tran J, Thaper A, Lopetegui-Lia N, Ali A. Locoregional recurrence in triple negative breast cancer: past, present, and future. Expert Rev Anticancer Ther 2023; 23:1085-1093. [PMID: 37750222 DOI: 10.1080/14737140.2023.2262760] [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: 07/17/2023] [Accepted: 09/20/2023] [Indexed: 09/27/2023]
Abstract
INTRODUCTION Triple negative breast cancer (TNBC) is a rare but aggressive biological subtype of breast cancer associated with higher locoregional and distant recurrence rates and lower overall survival despite advancements in diagnostic and treatment strategies. AREAS COVERED This review explores the evolving landscape of locoregional recurrence (LRR) in TNBC with improved surgical and radiation therapy delivery techniques including salvage breast conserving surgery (SBCS), re-irradiation, and thermo-radiation. We review current retrospective and prospective, albeit limited, clinical data highlighting the optimal management of locoregionally recurrent TNBC. We also discuss tumor genomic profiling and transcriptome analysis and review potential investigational directions. EXPERT OPINION Significant progress has been made in the prevention of LRR but rates remain suboptimal, particularly in the TNBC population, and outcomes following LRR are poor. Further prospective studies are needed to identify the most effective and safest systemic therapy regimens and to whom it should be offered. There has been growing interest in the role of molecular markers, genomic signatures, and tumor microenvironment in predicting outcomes and guiding LRR treatment. Transcriptome analyses and biomarker-driven investigations are currently being studied and represent a promising era of development in the management of LRR.
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Affiliation(s)
- Jennifer Tran
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH, USA
| | - Arushi Thaper
- Division of Hematology and Oncology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Nerea Lopetegui-Lia
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH, USA
| | - Azka Ali
- Department of Hematology and Medical Oncology, Cleveland Clinic Foundation, Taussig Cancer Institute, Cleveland, OH, USA
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Tang X, Thompson KJ, Kalari KR, Sinnwell JP, Suman VJ, Vedell PT, McLaughlin SA, Northfelt DW, Aspitia AM, Gray RJ, Carter JM, Weinshilboum R, Wang L, Boughey JC, Goetz MP. Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors. Breast Cancer Res 2023; 25:57. [PMID: 37226243 PMCID: PMC10207800 DOI: 10.1186/s13058-023-01656-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/09/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype. Patients with TNBC are primarily treated with neoadjuvant chemotherapy (NAC). The response to NAC is prognostic, with reductions in overall survival and disease-free survival rates in those patients who do not achieve a pathological complete response (pCR). Based on this premise, we hypothesized that paired analysis of primary and residual TNBC tumors following NAC could identify unique biomarkers associated with post-NAC recurrence. METHODS AND RESULTS We investigated 24 samples from 12 non-LAR TNBC patients with paired pre- and post-NAC data, including four patients with recurrence shortly after surgery (< 24 months) and eight who remained recurrence-free (> 48 months). These tumors were collected from a prospective NAC breast cancer study (BEAUTY) conducted at the Mayo Clinic. Differential expression analysis of pre-NAC biopsies showed minimal gene expression differences between early recurrent and nonrecurrent TNBC tumors; however, post-NAC samples demonstrated significant alterations in expression patterns in response to intervention. Topological-level differences associated with early recurrence were implicated in 251 gene sets, and an independent assessment of microarray gene expression data from the 9 paired non-LAR samples available in the NAC I-SPY1 trial confirmed 56 gene sets. Within these 56 gene sets, 113 genes were observed to be differentially expressed in the I-SPY1 and BEAUTY post-NAC studies. An independent (n = 392) breast cancer dataset with relapse-free survival (RFS) data was used to refine our gene list to a 17-gene signature. A threefold cross-validation analysis of the gene signature with the combined BEAUTY and I-SPY1 data yielded an average AUC of 0.88 for six machine-learning models. Due to the limited number of studies with pre- and post-NAC TNBC tumor data, further validation of the signature is needed. CONCLUSION Analysis of multiomics data from post-NAC TNBC chemoresistant tumors showed down regulation of mismatch repair and tubulin pathways. Additionally, we identified a 17-gene signature in TNBC associated with post-NAC recurrence enriched with down-regulated immune genes.
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Affiliation(s)
- Xiaojia Tang
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Kevin J Thompson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Krishna R Kalari
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
| | - Jason P Sinnwell
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Vera J Suman
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Peter T Vedell
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Jodi M Carter
- Department of Pathology, Mayo Clinic, Rochester, MN, USA
| | - Richard Weinshilboum
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Liewei Wang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | | | - Matthew P Goetz
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
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Wijayanti D, Luo Y, Bai Y, Pan C, Qu L, Guo Z, Lan X. New insight into copy number variations of goat SMAD2 gene and their associations with litter size and semen quality. Theriogenology 2023; 206:114-122. [PMID: 37229957 DOI: 10.1016/j.theriogenology.2023.05.012] [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: 02/06/2023] [Revised: 05/10/2023] [Accepted: 05/12/2023] [Indexed: 05/27/2023]
Abstract
Copy number variations (CNV) contribute significantly to genetic variations. Numerous studies have shown that CNV affects phenotypic traits in livestock. The SMAD family member 2 (SMAD2) is a leading candidate gene in reproduction and has a crucial effect on litter size. Additionally, SMAD2 is also required for male reproduction and influences male germ cell development. However, there are no reports on investigating the effect of CNVs in the SMAD2 gene on reproductive traits in goat. Therefore, the goal of this study was to explore associations between CNV of the SMAD2 gene and litter size and semen quality in Shaanbei white cashmere (SBWC) goats. In this study, two CNVs within the SMAD2 were identified in 352 SBWC goats (50 males and 302 females). The association analysis revealed that only CNV2 was significantly associated with female goat first-born litter size (P = 3.59 × 10-4), male semen concentration (P < 0.01), ejaculation volume, live sperm count, and sperm deformity rate (P < 0.05). In terms of phenotypic performance, the individuals with loss genotypes outperformed those with other genotypes. CNV1 and CNV2 genotype combinations containing their dominant genotypes were also associated with goat litter size (P = 1.7 × 10-5), but no differences in semen quality were found. In summary, CNV2 of the SMAD2 gene is useful for molecular marker-assisted selection breeding, as it is associated with essential goat reproductive traits.
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Affiliation(s)
- Dwi Wijayanti
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China; Department of Animal Science, Perjuangan University of Tasikmalaya, Tasikmalaya, West Java, 46115, Indonesia.
| | - Yunyun Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Yangyang Bai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Chuanying Pan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Lei Qu
- Shaanxi Provincial Engineering and Technology Research Center of Cashmere Goats, Yulin University, Yulin, Shaanxi, 719000, PR China; Life Science Research Center, Yulin University, Yulin, Shaanxi, 719000, PR China.
| | - Zhengang Guo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China; Institute of Animal Husbandry and Veterinary Science of Bijie City, Guizhou, 551700, China.
| | - Xianyong Lan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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Pantelaiou-Prokaki G, Reinhardt O, Georges NS, Agorku DJ, Hardt O, Prokakis E, Mieczkowska IK, Deppert W, Wegwitz F, Alves F. Basal-like mammary carcinomas stimulate cancer stem cell properties through AXL-signaling to induce chemotherapy resistance. Int J Cancer 2023; 152:1916-1932. [PMID: 36637144 DOI: 10.1002/ijc.34429] [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: 05/26/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 01/14/2023]
Abstract
Basal-like breast cancer (BLBC) is the most aggressive and heterogeneous breast cancer (BC) subtype. Conventional chemotherapies represent next to surgery the most frequently employed treatment options. Unfortunately, resistant tumor phenotypes often develop, resulting in therapeutic failure. To identify the early events occurring upon the first drug application and initiating chemotherapy resistance in BLBC, we leveraged the WAP-T syngeneic mammary carcinoma mouse model and we developed a strategy combining magnetic-activated cell sorting (MACS)-based tumor cell enrichment with high-throughput transcriptome analyses. We discovered that chemotherapy induced a massive gene expression reprogramming toward stemness acquisition to tolerate and survive the cytotoxic treatment in vitro and in vivo. Retransplantation experiments revealed that one single cycle of cytotoxic drug combination therapy (Cyclophosphamide, Adriamycin and 5-Fluorouracil) suffices to induce resistant tumor cell phenotypes in vivo. We identified Axl and its ligand Pros1 as highly induced genes driving cancer stem cell (CSC) properties upon chemotherapy in vivo and in vitro. Furthermore, from our analysis of BLBC patient datasets, we found that AXL expression is also strongly correlated with CSC-gene signatures, a poor response to conventional therapies and worse survival outcomes in those patients. Finally, we demonstrate that AXL inhibition sensitized BLBC-cells to cytotoxic treatment in vitro. Together, our data support AXL as a promising therapeutic target to optimize the efficiency of conventional cytotoxic therapies in BLBC.
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Affiliation(s)
- Garyfallia Pantelaiou-Prokaki
- Max Planck Institute for Multidisciplinary Sciences, Translational Molecular Imaging, Göttingen, Germany.,Department of Gynecology and Obstetrics, University Medical Center Göttingen, Göttingen, Germany
| | - Oliver Reinhardt
- Max Planck Institute for Multidisciplinary Sciences, Translational Molecular Imaging, Göttingen, Germany
| | - Nadine S Georges
- Department of Gynecology and Obstetrics, University Medical Center Göttingen, Göttingen, Germany
| | - David J Agorku
- Miltenyi Biotec B.V. & Co. KG, R&D Reagents, Bergisch Gladbach, Germany
| | - Olaf Hardt
- Miltenyi Biotec B.V. & Co. KG, R&D Reagents, Bergisch Gladbach, Germany
| | - Evangelos Prokakis
- Department of Gynecology and Obstetrics, University Medical Center Göttingen, Göttingen, Germany
| | - Iga K Mieczkowska
- Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Göttingen, Germany
| | - Wolfgang Deppert
- University Medical Center Hamburg Eppendorf, Institute for Tumor Biology, University of Hamburg, Hamburg, Germany
| | - Florian Wegwitz
- Department of Gynecology and Obstetrics, University Medical Center Göttingen, Göttingen, Germany.,Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Göttingen, Germany
| | - Frauke Alves
- Max Planck Institute for Multidisciplinary Sciences, Translational Molecular Imaging, Göttingen, Germany.,Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.,Clinic for Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany
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9
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Nguyen HM, Paulishak W, Oladejo M, Wood L. Dynamic tumor microenvironment, molecular heterogeneity, and distinct immunologic portrait of triple-negative breast cancer: an impact on classification and treatment approaches. Breast Cancer 2023; 30:167-186. [PMID: 36399321 DOI: 10.1007/s12282-022-01415-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/26/2022] [Indexed: 11/19/2022]
Abstract
Heterogeneity of the tumor microenvironment (TME) and the lack of a definite targetable receptor in triple-negative breast cancer (TNBC) has carved a niche for this cancer as a particularly therapeutically challenging form of breast cancer. However, recent advances in high-throughput genomic analysis have provided new insights into the unique microenvironment and defining characteristics of various subsets of TNBC. This improved understanding has contributed to the development of novel therapeutic strategies including targeted therapies such as PARP inhibitors and CDK inhibitors. Moreover, the recent FDA approval of the immune checkpoint inhibitor against programmed cell death protein 1 (PD-1), pembrolizumab and atezolizumab, holds the promise of improving the quality of life and increasing the overall survival of TNBC patients. This recent approval is one of the many therapeutically novel strategies that are currently being exploited in clinical trials toward eventual contribution to the oncologist's toolbox against TNBC. In this review, we comprehensively discuss TNBC's distinct TME and its immunophenotype. Furthermore, we highlight the histological and molecular classification of this cancer. More importantly, we describe how these characteristics and classifications contribute to the current standards of care and how they steer the development of newer and more targeted therapies toward achieving peak therapeutic goals in the treatment of TNBC.
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Affiliation(s)
- Hong-My Nguyen
- Department of Immunotherapeutics and Biotechnology, Texas Tech University Health Sciences Center, Jerry H. Hodge School of Pharmacy, Abilene, TX, 79601, USA
| | - Wyatt Paulishak
- Department of Immunotherapeutics and Biotechnology, Texas Tech University Health Sciences Center, Jerry H. Hodge School of Pharmacy, Abilene, TX, 79601, USA
| | - Mariam Oladejo
- Department of Immunotherapeutics and Biotechnology, Texas Tech University Health Sciences Center, Jerry H. Hodge School of Pharmacy, Abilene, TX, 79601, USA
| | - Laurence Wood
- Department of Immunotherapeutics and Biotechnology, Texas Tech University Health Sciences Center, Jerry H. Hodge School of Pharmacy, Abilene, TX, 79601, USA.
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10
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Wang C, Feng G, Zhu J, Wei K, Huang C, Wu Z, Yu Y, Qin G. Developing an immune signature for triple-negative breast cancer to predict prognosis and immune checkpoint inhibitor response. Future Oncol 2022; 18:1055-1066. [PMID: 35105171 DOI: 10.2217/fon-2021-0600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Aim: We aimed to develop a new signature based on immune-related genes to predict prognosis and response to immune checkpoint inhibitors in patients with triple-negative breast cancer (TNBC). Materials & methods: Single-sample gene set enrichment was used to develop an immune-based prognostic signature (IPRS) for TNBC patients. We conducted multivariate Cox analysis to evaluate the prognosis value of the IPRS. Result: An IPRS based on 66 prognostic genes was developed. Multivariate Cox analysis indicated that the IPRS was an independent factor for prognosis. PD-1, PD-L1, PD-L2 and CTLA4 gene expression was higher in the low-risk group, suggesting IPRS could predict the response to immune checkpoint inhibitors. Conclusion: The IPRS might be a reliable signature to predict TNBC patients' prognosis and response to immune checkpoint inhibitors, but needs prospective validation.
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Affiliation(s)
- Ce Wang
- Department of Biostatistics, School of Public Health, & The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing 100083, China
| | - Guoshuang Feng
- Big Data & Engineering Research Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing 100083, China
| | - Jingjing Zhu
- Department of Biostatistics, School of Public Health, & The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Kecheng Wei
- Department of Biostatistics, School of Public Health, & The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Chen Huang
- Department of Biostatistics, School of Public Health, & The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Zhenyu Wu
- Department of Biostatistics, School of Public Health, & The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Yongfu Yu
- Department of Biostatistics, School of Public Health, & The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Guoyou Qin
- Department of Biostatistics, School of Public Health, & The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing 100083, China
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11
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Zhang Z, Hao R, Guo Q, Zhang S, Wang X. TP53 Mutation Infers a Poor Prognosis and Is Correlated to Immunocytes Infiltration in Breast Cancer. Front Cell Dev Biol 2021; 9:759154. [PMID: 34917611 PMCID: PMC8669954 DOI: 10.3389/fcell.2021.759154] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: This study aimed to investigate the TP53 mutation, its potential immune features, its prognostic value, and its impact on immune infiltration in patients with breast cancer (BC). Methods: We downloaded the somatic mutation data and clinicopathologic features of BC patients from the TCGA GDC database, UCSC Xena platform, and International Cancer Genome Consortium (ICGC) database. The association between the TP53 mutation, clinicopathology features, and overall survival (OS) in BC patients was analyzed. We evaluated the potential role of the TP53 mutation in the immune therapy response, including the tumor mutation burden (TMB), microsatellite instability (MSI), and tumor immune dysfunction and exclusion (TIDE). Moreover, ESTIMATE was employed to assess the ImmuneScore and StromalScore in BC patients. We also explored immunocyte infiltration related to the TP53 mutation and its potential mechanism. Immunohistochemistry (IHC) was performed to validate the association between the expression of CXCL1, CXCL10, and CCL20 and TP53 status. Results: We found that the TP53 mutation was significantly associated with the shorter OS (p = 0.038) and was also an independent predictive factor of OS for BC patients (p < 0.001). Compared to that in the wild type group, the TP53-mutant group showed a higher TMB value (P< 0.001), MSI value (p = 0.077), and TIDE value (p < 0.001) with respect to BC patient immunotherapy. In addition, the ImmuneScore and StromalScore were both significantly increased in the TP53-mutant group (ImmuneScore: p < 0.001; StromalScore: p = 0.003). The results of CIBERSORT suggested that the TP53 mutation significantly promoted the infiltration of Tregs, T helper cells, and M0-type macrophages. KEGG and GSEA enrichment results suggested that the IL-17 signaling pathway and antigen processing and presentation pathways were significantly enriched in the TP53-mutant group. Importantly, based on IHC results of immune-related hub-genes, the chemokines CXCL1, CXCL10, and CCL20 were significantly upregulated in the TP53-mutant group in BC patients. Conclusion: These results indicate that a TP53 mutation might serve as a biomarker for BC prognosis and is related to immunocyte infiltration in the tumor microenvironment.
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Affiliation(s)
- Ziwen Zhang
- Department of Medical Oncology (Breast Cancer), Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.,Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou, China
| | - Ran Hao
- School of Nursing, Hebei Medical University, Shijiazhuang, China
| | - Qiusheng Guo
- Department of Medical Oncology (Breast Cancer), Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.,The Second Clinical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Sheyu Zhang
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
| | - Xiaojia Wang
- Department of Medical Oncology (Breast Cancer), Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.,Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou, China
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12
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Jin L, Luo C, Wu X, Li M, Wu S, Feng Y. LncRNA-HAGLR motivates triple negative breast cancer progression by regulation of WNT2 via sponging miR-335-3p. Aging (Albany NY) 2021; 13:19306-19316. [PMID: 34375306 PMCID: PMC8386551 DOI: 10.18632/aging.203272] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/22/2021] [Indexed: 02/06/2023]
Abstract
Background: Triple negative breast cancer (TNBC) is a group of highly heterogeneous mixed breast cancer at the level of gene expression profile. Therefore, it is of great clinical significance to explore the molecular mechanism of TNBC and find a targeted therapeutic approach from the molecular level. Methods: Long non-coding RNA (lncRNA) HAGLR expression level was measured by and qRT-PCR in TNBC tissues and cell lines. EdU, MTT, wound healing and Transwell assays were performed to explore the role of HAGLR on the malignancy of TNBC cells. Luciferase assay was used to clarify the binding between miR-335-3p with HAGLR and WNT2. The tumor formation experiment in nude mice was used to explore the function of HAGLR in vivo. Results: HAGLR was increased in TNBC tissues and cell lines. Silencing of HAGLR inhibited viability, proliferation, migration, and invasion of BT549 cells. Furthermore, HAGLR acted as a sponge of miR-335-3p and inhibited its expression. And miR-335-3p directly targeted WNT2. Functionally, forced expression of miR-335-3p or knockdown of WNT2 removed the promoted effects of lncRNA HAGLR on TNBC development. In vivo tumorigenesis experiments indicated HAGLR accelerated tumor growth via miR-335-3p/WNT2 axis. Conclusion: Our study revealed that HAGLR promoted the growth of TNBC, which was mediated by miR-335-3p/WNT2 axis.
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Affiliation(s)
- Liting Jin
- Department of Breast Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province 430079, China
| | - Chenggang Luo
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province 430079, China
| | - Xinhong Wu
- Department of Breast Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province 430079, China
| | - Manxiu Li
- Department of Breast Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province 430079, China
| | - Shun Wu
- Department of Breast Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province 430079, China
| | - Yaojun Feng
- Department of Breast Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province 430079, China
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13
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Wang K, Li L, Franch-Expósito S, Le X, Tang J, Li Q, Wu Q, Bassaganyas L, Camps J, Zhang X, Li H, Foukakis T, Xiang T, Wu J, Ren G. Integrated multi-omics profiling of high-grade estrogen receptor-positive, HER2-negative breast cancer. Mol Oncol 2021; 16:2413-2431. [PMID: 34146382 PMCID: PMC9208078 DOI: 10.1002/1878-0261.13043] [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: 02/01/2021] [Revised: 05/18/2021] [Accepted: 06/18/2021] [Indexed: 12/01/2022] Open
Abstract
Estrogen receptor‐positive and human epidermal growth factor receptor 2‐negative (ER+HER2−) breast cancer accounts for ~ 60–70% of all cases of invasive breast carcinoma. High‐grade ER+HER2− tumors respond poorly to endocrine therapy. In this study, we systematically analyzed clinical and multi‐omics data to find potential strategies for personalized therapy of patients with high‐grade ER+HER2− disease. Six different cohorts were analyzed, for which multi‐omics data were available. Grade III ER+HER2− cases harbored higher proportions of large tumor size (> 5 cm), lymph node metastasis, chemotherapy use, and luminal B subtypes defined by PAM50, as compared with grade I/II tumors. DNA methylation (HM450) data and methylation‐specific PCR indicated that the cg18629132 locus in the MKI67 promoter was hypermethylated in grade I/II cases and normal tissue, but hypomethylated in grade III cases or triple‐negative breast cancer, resulting in higher expression of MKI67. Mutations in ESR1 and TP53 were detected in post‐endocrine treatment metastatic samples at a higher rate than in treatment‐naive tumors in grade III cases. We identified 42 and 20 focal copy number events in nonmetastatic and metastatic high‐grade ER+HER2− cases, respectively, with either MYC or MDM2 amplification representing an independent prognostic event in grade III cases. Transcriptional profiling within grade III tumors highlighted ER signaling downregulation and upregulation of immune‐related pathways in non‐luminal‐like tumors defined by PAM50. Recursive partitioning analysis was employed to construct a decision tree of an endocrine‐resistant subgroup (GATA3‐negative and AGR‐negative) of two genes that was validated by immunohistochemistry in a Chinese cohort. All together, these data suggest that grade III ER+HER2− tumors have distinct clinical and molecular characteristics compared with low‐grade tumors, particularly in cases with non‐luminal‐like biology. Due to the dismal prognosis in this group, clinical trials are warranted to test the efficacy of potential novel therapies.
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Affiliation(s)
- Kang Wang
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, China.,Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, China.,Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Lun Li
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, China.,Cancer Institute, Fudan University Shanghai Cancer Center, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Sebastià Franch-Expósito
- Gastrointestinal and Pancreatic Oncology Team, Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Universitat de Barcelona, Spain
| | - Xin Le
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, China
| | - Jun Tang
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, China
| | - Qing Li
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, China
| | - Qianxue Wu
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, China
| | - Laia Bassaganyas
- Liver Cancer Translational Research Group, Liver Unit, Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Universitat de Barcelona, Spain
| | - Jordi Camps
- Gastrointestinal and Pancreatic Oncology Team, Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Universitat de Barcelona, Spain.,Unitat de Biologia Cel·lular i Genètica Mèdica, Departament de Biologia Cellular, Fisiologia i Immunologia, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Xiang Zhang
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, China
| | - Hongyuan Li
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, China
| | - Theodoros Foukakis
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.,Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Tingxiu Xiang
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, China
| | - Jiong Wu
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, China.,Cancer Institute, Fudan University Shanghai Cancer Center, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guosheng Ren
- Department of Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical University, Chongqing Medical University, China.,Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, China
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14
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Kalra M, Tong Y, Jones DR, Walsh T, Danso MA, Ma CX, Silverman P, King MC, Badve SS, Perkins SM, Miller KD. Cisplatin +/- rucaparib after preoperative chemotherapy in patients with triple-negative or BRCA mutated breast cancer. NPJ Breast Cancer 2021; 7:29. [PMID: 33753748 PMCID: PMC7985189 DOI: 10.1038/s41523-021-00240-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 02/26/2021] [Indexed: 12/18/2022] Open
Abstract
Patients with triple-negative breast cancer (TNBC) who have residual disease after neoadjuvant therapy have a high risk of recurrence. We tested the impact of DNA-damaging chemotherapy alone or with PARP inhibition in this high-risk population. Patients with TNBC or deleterious BRCA mutation (TNBC/BRCAmut) who had >2 cm of invasive disease in the breast or persistent lymph node (LN) involvement after neoadjuvant therapy were assigned 1:1 to cisplatin alone or with rucaparib. Germline mutations were identified with BROCA analysis. The primary endpoint was 2-year disease-free survival (DFS) with 80% power to detect an HR 0.5. From Feb 2010 to May 2013, 128 patients were enrolled. Median tumor size at surgery was 1.9 cm (0-11.5 cm) with 1 (0-38) involved LN; median Residual Cancer Burden (RCB) score was 2.6. Six patients had known deleterious BRCA1 or BRCA2 mutations at study entry, but BROCA identified deleterious mutations in 22% of patients with available samples. Toxicity was similar in both arms. Despite frequent dose reductions (21% of patients) and delays (43.8% of patients), 73% of patients completed planned cisplatin. Rucaparib exposure was limited with median concentration 275 (82-4694) ng/mL post-infusion on day 3. The addition of rucaparib to cisplatin did not increase 2-year DFS (54.2% cisplatin vs. 64.1% cisplatin + rucaparib; P = 0.29). In the high-risk post preoperative TNBC/BRCAmut setting, the addition of low-dose rucaparib did not improve 2-year DFS or increase the toxicity of cisplatin. Genetic testing was underutilized in this high-risk population.
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Affiliation(s)
- Maitri Kalra
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - Yan Tong
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - David R Jones
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - Tom Walsh
- University of Washington, Seattle, WA, USA
| | | | - Cynthia X Ma
- Siteman Cancer Center, Washington University, St. Louis, MO, USA
| | - Paula Silverman
- University Hospitals Ireland Cancer Center, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | | | - Sunil S Badve
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - Susan M Perkins
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathy D Miller
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA.
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15
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Boudjadi S, Pandey PR, Chatterjee B, Nguyen TH, Sun W, Barr FG. A Fusion Transcription Factor-Driven Cancer Progresses to a Fusion-Independent Relapse via Constitutive Activation of a Downstream Transcriptional Target. Cancer Res 2021; 81:2930-2942. [PMID: 33589519 DOI: 10.1158/0008-5472.can-20-1613] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 12/22/2020] [Accepted: 02/11/2021] [Indexed: 11/16/2022]
Abstract
Targeted monotherapies usually fail due to development of resistance by a subgroup of cells that evolve into recurrent tumors. Alveolar rhabdomyosarcoma is an aggressive myogenic soft-tissue cancer that is associated with a characteristic PAX3-FOXO1 gene fusion encoding a novel fusion transcription factor. In our myoblast model of PAX3-FOXO1-induced rhabdomyosarcoma, deinduction of PAX3-FOXO1 simulates a targeted therapy that antagonizes the fusion oncoprotein. This simulated therapy results initially in regression of the primary tumors, but PAX3-FOXO1-independent recurrent tumors eventually form after a delay. We report here that upregulation of FGF8, a direct transcriptional target of PAX3-FOXO1, is a mechanism responsible for PAX3-FOXO1-independent tumor recurrence. As a transcriptional target of PAX3-FOXO1, FGF8 promoted oncogenic activity in PAX3-FOXO1-expressing primary tumors that developed in the myoblast system. In the recurrent tumors forming after PAX3-FOXO1 deinduction, FGF8 expression was necessary and sufficient to induce PAX3-FOXO1-independent tumor growth through an autocrine mechanism. FGF8 was also expressed in human PAX3-FOXO1-expressing rhabdomyosarcoma cell lines and contributed to proliferation and transformation. In a human rhabdomyosarcoma cell line with reduced PAX3-FOXO1 expression, FGF8 upregulation rescued oncogenicity and simulated recurrence after PAX3-FOXO1-targeted therapy. We propose that deregulated expression of a PAX3-FOXO1 transcriptional target can generate resistance to therapy directed against this oncogenic transcription factor and postulate that this resistance mechanism may ultimately be countered by therapeutic approaches that antagonize the corresponding downstream pathways. SIGNIFICANCE: In a model of cancer initiated by a fusion transcription factor, constitutive activation of a downstream transcriptional target leads to fusion oncoprotein-independent recurrences, thereby highlighting a novel progression mechanism and therapeutic target.
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Affiliation(s)
- Salah Boudjadi
- Laboratory of Pathology, Center for Cancer Research, NCI, Bethesda, Maryland
| | - Puspa Raj Pandey
- Laboratory of Pathology, Center for Cancer Research, NCI, Bethesda, Maryland
| | | | - Thanh Hung Nguyen
- Laboratory of Pathology, Center for Cancer Research, NCI, Bethesda, Maryland
| | - Wenyue Sun
- Laboratory of Pathology, Center for Cancer Research, NCI, Bethesda, Maryland
| | - Frederic G Barr
- Laboratory of Pathology, Center for Cancer Research, NCI, Bethesda, Maryland.
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16
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Yi X, Lou L, Wang J, Xiong J, Zhou S. Honokiol antagonizes doxorubicin resistance in human breast cancer via miR-188-5p/FBXW7/c-Myc pathway. Cancer Chemother Pharmacol 2021; 87:647-656. [PMID: 33544209 DOI: 10.1007/s00280-021-04238-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 01/20/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Honokiol, a natural phenolic compound derived from Magnolia plants, is a promising anti-tumor compound that exerts a wide range of anti-cancer effects. Herein, we investigated the effect of honokiol on doxorubicin resistance in breast cancer. METHODS Doxorubicin-sensitive (MCF-7 and MDA-MB-231) and doxorubicin-resistant (MCF-7/ADR and MDA-MB-231/ADR) breast cancer cell lines were treated with doxorubicin in the absence or presence of honokiol; then, the following tests were performed: flow cytometry for cell apoptosis, WST-1 assay for cell viability, qPCR and western blot for the expression of miR-188-5p, FBXW7, and c-Myc. MiR-188-5p mimic, miR-188-5p inhibitor, siFBXW7, and c-Myc plasmids were transfected into cancer cells to evaluate whether miR-188-5p and FBXW7/c-Myc signaling are involved in the effect of honokiol on doxorubicin resistance in breast cancer. A dual luciferase reporter system was used to study the direct interaction between miR-188-5p and FBXW7. RESULTS Honokiol sensitized doxorubicin-resistant breast cancer cells to doxorubicin-induced apoptosis. Mechanically, upregulation of miR-188-5p was associated with doxorubicin resistance, and honokiol enhanced doxorubicin sensitivity by downregulating miR-188-5p. FBXW7 was confirmed to be a direct target gene of miR-188-5p. FBXW7/c-Myc signaling was involved in the chemosensitization effect of honokiol. Honokiol induced apoptosis in MCF-7/ADR and MDA-MB-231/ADR cells. However, FBXW7 silencing or c-Myc transfection resulted in resistance to the honokiol-induced apoptotic effect. CONCLUSION These findings suggest that downregulation of miR-188-5p by honokiol enhances doxorubicin sensitivity through FBXW7/c-Myc signaling in human breast cancer. Our study finds an important role of miR-188-5p in the development of doxorubicin resistance in breast cancer, and enriches our understanding of the mechanism of action of honokiol in cancer therapy.
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Affiliation(s)
- Xianglan Yi
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Liping Lou
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jun Wang
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jing Xiong
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Sheng Zhou
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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17
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Tan L, He X, Shen G. Identification of a 15-pseudogene based prognostic signature for predicting survival and antitumor immune response in breast cancer. Aging (Albany NY) 2020; 13:14499-14521. [PMID: 33378744 PMCID: PMC8202842 DOI: 10.18632/aging.103735] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 07/07/2020] [Indexed: 12/04/2022]
Abstract
Pseudogenes are noncoding RNAs that have been revealed to play critical roles in oncogenesis and tumor progression. However, their functional roles have not been comprehensively clarified in breast cancer. Here, we systematically analyzed the RNA sequencing data of 13931 pseudogenes in 775 breast cancer patients from The Cancer Genome Atlas dataset, and ultimately identified 15 prognostic pseudogenes by univariate Cox proportional hazard regression. A risk score model was constructed based on the prognostic pseudogenes via LASSO analysis and dichotomized patients into low- and high-risk subgroups. Patients in the high-risk group had a significantly shorter overall survival than those in the low-risk group. The prognostic value of these 15 pseudogenes and the risk score model were further validated in the European Genome-Phenome Archive dataset. Furthermore, we performed consensus clustering of the 15 prognostic pseudogenes and found that their expression pattern was significantly associated with tumor malignancy and host antitumor immune response, in terms of infiltrating immune cell compositions, antigen presenting genes expression, cytolytic activity and T-cell exhausted markers. This study indicated that these 15 prognostic pseudogenes were significantly correlated with tumor malignancy and host antitumor immune response in breast cancer, and might serve as potential targets for immunotherapy.
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Affiliation(s)
- Liqiang Tan
- Department of Medical Bioinformatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.,Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaofang He
- Department of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Guoping Shen
- Department of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
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18
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Resistance to Neoadjuvant Treatment in Breast Cancer: Clinicopathological and Molecular Predictors. Cancers (Basel) 2020; 12:cancers12082012. [PMID: 32708049 PMCID: PMC7463925 DOI: 10.3390/cancers12082012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/03/2020] [Accepted: 07/20/2020] [Indexed: 01/30/2023] Open
Abstract
Neoadjuvant Chemotherapy (NAC) in Breast Cancer (BC) has proved useful for the reduction in tumor burden prior to surgery, allowing for a more extensive breast preservation and the eradication of subjacent micrometastases. However, the impact on prognosis is highly dependent on the establishment of Pathological Complete Response (pCR), in particular for Triple Negative (TN) and Hormonal Receptor negative/Human Epidermal growth factor Receptor 2 positive (HR-/HER2+) subtypes. Several pCR predictors, such as PAM50, Integrative Cluster (IntClust), mutations in PI3KCA, or the Trastuzumab Risk model (TRAR), are useful molecular tools for estimating response to treatment and are prognostic. Major evolution events during BC NAC that feature the Residual Disease (RD) are the loss of HR and HER2, which are prognostic of bad outcome, and stemness and immune depletion-related gene expression aberrations. This dynamic nature of the determinants of response to BC NAC, together with the extensive heterogeneity of BC, raises the need to discern the individual and subtype-specific determinants of resistance. Moreover, refining the current approaches for a comprehensive monitoring of tumor evolution during treatment, RD, and eventual recurrences is essential for identifying new actionable alterations and the integral best management of the disease.
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19
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Testa U, Castelli G, Pelosi E. Breast Cancer: A Molecularly Heterogenous Disease Needing Subtype-Specific Treatments. Med Sci (Basel) 2020; 8:E18. [PMID: 32210163 PMCID: PMC7151639 DOI: 10.3390/medsci8010018] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/23/2020] [Accepted: 03/11/2020] [Indexed: 12/12/2022] Open
Abstract
Breast cancer is the most commonly occurring cancer in women. There were over two-million new cases in world in 2018. It is the second leading cause of death from cancer in western countries. At the molecular level, breast cancer is a heterogeneous disease, which is characterized by high genomic instability evidenced by somatic gene mutations, copy number alterations, and chromosome structural rearrangements. The genomic instability is caused by defects in DNA damage repair, transcription, DNA replication, telomere maintenance and mitotic chromosome segregation. According to molecular features, breast cancers are subdivided in subtypes, according to activation of hormone receptors (estrogen receptor and progesterone receptor), of human epidermal growth factors receptor 2 (HER2), and or BRCA mutations. In-depth analyses of the molecular features of primary and metastatic breast cancer have shown the great heterogeneity of genetic alterations and their clonal evolution during disease development. These studies have contributed to identify a repertoire of numerous disease-causing genes that are altered through different mutational processes. While early-stage breast cancer is a curable disease in about 70% of patients, advanced breast cancer is largely incurable. However, molecular studies have contributed to develop new therapeutic approaches targeting HER2, CDK4/6, PI3K, or involving poly(ADP-ribose) polymerase inhibitors for BRCA mutation carriers and immunotherapy.
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Affiliation(s)
- Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Regina Elena 299, 00161 Rome, Italy; (G.C.); (E.P.)
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20
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Liang ZR, Qu LH, Ma LM. Differential impacts of charcoal-stripped fetal bovine serum on c-Myc among distinct subtypes of breast cancer cell lines. Biochem Biophys Res Commun 2020; 526:267-272. [PMID: 32209261 DOI: 10.1016/j.bbrc.2020.03.049] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 03/03/2020] [Accepted: 03/08/2020] [Indexed: 12/23/2022]
Abstract
Charcoal-stripped fetal bovine serum (CS-FBS) is frequently used in studies on hormone-responsive cancers to provide hormone-free cell culture conditions. CS-FBS may influence the growth of cancer cells; however, the underlying mechanisms remain unclear. In this study, we aimed to clarify the effects of CS-FBS on distinct subtypes of breast cancer cells. We found that the crucial oncoprotein c-Myc was significantly inhibited in estrogen receptor alpha (ER-α)-positive breast cancer cells when cultured in CS-FBS-supplemented medium, but it was not suppressed in ER-α-negative cells. The addition of 17β-estradiol (E2) to CS-FBS-supplemented medium rescued the CS-FBS-induced inhibition of c-Myc, while treatment with 5α-dihydrotestosterone (DHT) suppressed c-Myc expression. Our data demonstrated that CS-FBS may impede the growth of ER-α-positive breast cancer cells via c-Myc inhibition, and this was possibly due to the removal of estrogen. These results highlighted that the core drivers of c-Myc expression were subtype-specific depending on the distinct cell context and special caution should be exercised when using CS-FBS in studies of hormone-responsive cancer cells.
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Affiliation(s)
- Zi-Rui Liang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, PR China.
| | - Liang-Hu Qu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, PR China.
| | - Li-Ming Ma
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, PR China.
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21
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Mendaza S, Ulazia-Garmendia A, Monreal-Santesteban I, Córdoba A, de Azúa YR, Aguiar B, Beloqui R, Armendáriz P, Arriola M, Martín-Sánchez E, Guerrero-Setas D. ADAM12 is A Potential Therapeutic Target Regulated by Hypomethylation in Triple-Negative Breast Cancer. Int J Mol Sci 2020; 21:ijms21030903. [PMID: 32019179 PMCID: PMC7036924 DOI: 10.3390/ijms21030903] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 01/28/2020] [Accepted: 01/28/2020] [Indexed: 02/08/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and currently lacks any effective targeted therapy. Since epigenetic alterations are a common event in TNBC, DNA methylation profiling can be useful for identifying potential biomarkers and therapeutic targets. Here, genome-wide DNA methylation from eight TNBC and six non-neoplastic tissues was analysed using Illumina Human Methylation 450K BeadChip. Results were validated by pyrosequencing in an independent cohort of 50 TNBC and 24 non-neoplastic samples, where protein expression was also assessed by immunohistochemistry. The functional role of disintegrin and metalloproteinase domain-containing protein 12(ADAM12) in TNBC cell proliferation, migration and drug response was analysed by gene expression silencing with short hairpin RNA. Three genes (Von Willenbrand factor C and Epidermal Growth Factor domain-containing protein (VWCE), tetraspanin-9 (TSPAN9) and ADAM12) were found to be exclusively hypomethylated in TNBC. Furthermore, ADAM12 hypomethylation was associated with a worse outcome in TNBC tissues and was also found in adjacent-to-tumour tissue and, preliminarily, in plasma from TNBC patients. In addition, ADAM12 silencing decreased TNBC cell proliferation and migration and improved doxorubicin sensitivity in TNBC cells. Our results indicate that ADAM12 is a potential therapeutic target and its hypomethylation could be a poor outcome biomarker in TNBC.
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Affiliation(s)
- Saioa Mendaza
- Molecular Pathology of Cancer Group, Navarrabiomed, ComplejoHospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Irunlarrea 3, 31008 Pamplona, Spain; (S.M.); (A.U.-G.); (D.G.-S.)
| | - Ane Ulazia-Garmendia
- Molecular Pathology of Cancer Group, Navarrabiomed, ComplejoHospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Irunlarrea 3, 31008 Pamplona, Spain; (S.M.); (A.U.-G.); (D.G.-S.)
| | - Iñaki Monreal-Santesteban
- Molecular Pathology of Cancer Group, Navarrabiomed, ComplejoHospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Irunlarrea 3, 31008 Pamplona, Spain; (S.M.); (A.U.-G.); (D.G.-S.)
| | - Alicia Córdoba
- Department of Pathology, ComplejoHospitalario de Navarra (CHN), Irunlarrea 3, 31008, Pamplona, Spain; (A.C.); (Y.R.d.A.); (B.A.); (R.B.); (M.A.)
| | - Yerani Ruiz de Azúa
- Department of Pathology, ComplejoHospitalario de Navarra (CHN), Irunlarrea 3, 31008, Pamplona, Spain; (A.C.); (Y.R.d.A.); (B.A.); (R.B.); (M.A.)
| | - Begoña Aguiar
- Department of Pathology, ComplejoHospitalario de Navarra (CHN), Irunlarrea 3, 31008, Pamplona, Spain; (A.C.); (Y.R.d.A.); (B.A.); (R.B.); (M.A.)
| | - Raquel Beloqui
- Department of Pathology, ComplejoHospitalario de Navarra (CHN), Irunlarrea 3, 31008, Pamplona, Spain; (A.C.); (Y.R.d.A.); (B.A.); (R.B.); (M.A.)
| | - Pedro Armendáriz
- Department of Surgery, ComplejoHospitalario de Navarra, (CHN), Irunlarrea 3, 31008, Pamplona, Spain;
| | - Marta Arriola
- Department of Pathology, ComplejoHospitalario de Navarra (CHN), Irunlarrea 3, 31008, Pamplona, Spain; (A.C.); (Y.R.d.A.); (B.A.); (R.B.); (M.A.)
| | - Esperanza Martín-Sánchez
- Molecular Pathology of Cancer Group, Navarrabiomed, ComplejoHospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Irunlarrea 3, 31008 Pamplona, Spain; (S.M.); (A.U.-G.); (D.G.-S.)
- Correspondence: ; Tel.: +34-848-423319
| | - David Guerrero-Setas
- Molecular Pathology of Cancer Group, Navarrabiomed, ComplejoHospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Irunlarrea 3, 31008 Pamplona, Spain; (S.M.); (A.U.-G.); (D.G.-S.)
- Department of Pathology, ComplejoHospitalario de Navarra (CHN), Irunlarrea 3, 31008, Pamplona, Spain; (A.C.); (Y.R.d.A.); (B.A.); (R.B.); (M.A.)
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