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Chen NN, Zhou KF, Miao Z, Chen YX, Cui JX, Su SW. Exosomes regulate doxorubicin resistance in breast cancer via miR-34a-5p/NOTCH1. Mol Cell Probes 2024; 76:101964. [PMID: 38810840 DOI: 10.1016/j.mcp.2024.101964] [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: 03/22/2023] [Revised: 04/22/2024] [Accepted: 05/26/2024] [Indexed: 05/31/2024]
Abstract
Breast cancer (BRCA) is the most common cancer among women. Adriamycin (ADR), also known as doxorubicin (Dox), is a commonly used chemotherapeutic agent for BRCA patients, however, the susceptibility of tumor cells to develop resistance to Dox has severely limited its clinical use. One new promising therapeutic target for breast cancer patients is exosomes. The objective of this study was to investigate the role of exosomes in regulating Dox resistance in BRCA. In this study, the exosomes from both types of cells were extracted by differential centrifugation. The effect of exosomes on drug resistance was assessed by laser confocal microscopy, MTT assay, and qRT-PCR. The miRNA was transfected into cells using Lipofectamine 2000, which was then evaluated for downstream genes and changes in drug resistance. Exosomes from MCF-7 cells (MCF-7/exo) and MCF-7/ADR cells (ADR/exo) were effectively extracted in this study. The ADR/exo was able to endocytose MCF-7 cells and make them considerably more resistant to Dox. Moreover, we observed a significant difference in miR-34a-5p expression in MCF-7/ADR and ADR/exo compared to MCF-7 and MCF-7/exo. Among the miR-34a-5p target genes, NOTCH1 displayed a clear change with a negative correlation. In addition, when miR-34a-5p expression was elevated in MCF-7/ADR cells, the expression of miR-34a-5p in ADR/exo was also enhanced alongside NOTCH1, implying that exosomes may carry miRNA into and out of cells and perform their function. In conclusion, exosomes can influence Dox resistance in breast cancer cells by regulating miR-34a-5p/NOTCH1. These findings provide novel insights for research into the causes of tumor resistance and the enhancement of chemotherapy efficacy in breast cancer.
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Affiliation(s)
- Nan-Nan Chen
- Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, The Key Laboratory of New Drug Pharmacology and Toxicology, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Ke-Fan Zhou
- Key Laboratory of Innovative Drug Research and Safety Evaluation, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Zhuang Miao
- Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, The Key Laboratory of New Drug Pharmacology and Toxicology, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Yun-Xia Chen
- Key Laboratory of Innovative Drug Research and Safety Evaluation, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Jing-Xia Cui
- Key Laboratory of Innovative Drug Research and Safety Evaluation, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
| | - Su-Wen Su
- Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, The Key Laboratory of New Drug Pharmacology and Toxicology, Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
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Izadi F, Sharpe BP, Breininger SP, Secrier M, Gibson J, Walker RC, Rahman S, Devonshire G, Lloyd MA, Walters ZS, Fitzgerald RC, Rose-Zerilli MJJ, Underwood TJ. Genomic Analysis of Response to Neoadjuvant Chemotherapy in Esophageal Adenocarcinoma. Cancers (Basel) 2021; 13:3394. [PMID: 34298611 PMCID: PMC8308111 DOI: 10.3390/cancers13143394] [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: 06/10/2021] [Revised: 06/28/2021] [Accepted: 07/01/2021] [Indexed: 01/04/2023] Open
Abstract
Neoadjuvant therapy followed by surgery is the standard of care for locally advanced esophageal adenocarcinoma (EAC). Unfortunately, response to neoadjuvant chemotherapy (NAC) is poor (20-37%), as is the overall survival benefit at five years (9%). The EAC genome is complex and heterogeneous between patients, and it is not yet understood whether specific mutational patterns may result in chemotherapy sensitivity or resistance. To identify associations between genomic events and response to NAC in EAC, a comparative genomic analysis was performed in 65 patients with extensive clinical and pathological annotation using whole-genome sequencing (WGS). We defined response using Mandard Tumor Regression Grade (TRG), with responders classified as TRG1-2 (n = 27) and non-responders classified as TRG4-5 (n =38). We report a higher non-synonymous mutation burden in responders (median 2.08/Mb vs. 1.70/Mb, p = 0.036) and elevated copy number variation in non-responders (282 vs. 136/patient, p < 0.001). We identified copy number variants unique to each group in our cohort, with cell cycle (CDKN2A, CCND1), c-Myc (MYC), RTK/PIK3 (KRAS, EGFR) and gastrointestinal differentiation (GATA6) pathway genes being specifically altered in non-responders. Of note, NAV3 mutations were exclusively present in the non-responder group with a frequency of 22%. Thus, lower mutation burden, higher chromosomal instability and specific copy number alterations are associated with resistance to NAC.
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Affiliation(s)
- Fereshteh Izadi
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
- Centre for NanoHealth, Swansea University Medical School, Singleton Campus, Swansea SA2 8PP, UK
| | - Benjamin P. Sharpe
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
- Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Stella P. Breininger
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
| | - Maria Secrier
- UCL Genetics Institute, Division of Biosciences, University College London, Gower Street, London WC1E 6BT, UK;
| | - Jane Gibson
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
- Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Robert C. Walker
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
| | - Saqib Rahman
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
| | - Ginny Devonshire
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK;
| | - Megan A. Lloyd
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
| | - Zoë S. Walters
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
- Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Rebecca C. Fitzgerald
- MRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge CB2 OXZ, UK;
| | - Matthew J. J. Rose-Zerilli
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
- Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Tim J. Underwood
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; (F.I.); (B.P.S.); (S.P.B.); (J.G.); (R.C.W.); (S.R.); (M.A.L.); (Z.S.W.); (M.J.J.R.-Z.)
- Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
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Li S, Zhang F, Xiao X, Guo Y, Wen Z, Li M, Pu X. Prediction of Synergistic Drug Combinations for Prostate Cancer by Transcriptomic and Network Characteristics. Front Pharmacol 2021; 12:634097. [PMID: 33986671 PMCID: PMC8112211 DOI: 10.3389/fphar.2021.634097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 02/04/2021] [Indexed: 12/26/2022] Open
Abstract
Prostate cancer (PRAD) is a major cause of cancer-related deaths. Current monotherapies show limited efficacy due to often rapidly emerging resistance. Combination therapies could provide an alternative solution to address this problem with enhanced therapeutic effect, reduced cytotoxicity, and delayed the appearance of drug resistance. However, it is prohibitively cost and labor-intensive for the experimental approaches to pick out synergistic combinations from the millions of possibilities. Thus, it is highly desired to explore other efficient strategies to assist experimental researches. Inspired by the challenge, we construct the transcriptomics-based and network-based prediction models to quickly screen the potential drug combination for Prostate cancer, and further assess their performance by in vitro assays. The transcriptomics-based method screens nine possible combinations. However, the network-based method gives discrepancies for at least three drug pairs. Further experimental results indicate the dose-dependent effects of the three docetaxel-containing combinations, and confirm the synergistic effects of the other six combinations predicted by the transcriptomics-based model. For the network-based predictions, in vitro tests give opposite results to the two combinations (i.e. mitoxantrone-cyproheptadine and cabazitaxel-cyproheptadine). Namely, the transcriptomics-based method outperforms the network-based one for the specific disease like Prostate cancer, which provide guideline for selection of the computational methods in the drug combination screening. More importantly, six combinations (the three mitoxantrone-containing and the three cabazitaxel-containing combinations) are found to be promising candidates to synergistically conquer Prostate cancer.
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Affiliation(s)
- Shiqi Li
- College of Chemistry, Sichuan University, Chengdu, China
| | - Fuhui Zhang
- College of Chemistry, Sichuan University, Chengdu, China
| | - Xiuchan Xiao
- School of Material Science and Environmental Engineering, Chengdu Technological University, Chengdu, China
| | - Yanzhi Guo
- College of Chemistry, Sichuan University, Chengdu, China
| | - Zhining Wen
- College of Chemistry, Sichuan University, Chengdu, China
| | - Menglong Li
- College of Chemistry, Sichuan University, Chengdu, China
| | - Xuemei Pu
- College of Chemistry, Sichuan University, Chengdu, China
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