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Hu S, Yang Q, Chen Z, Fu W. Role of β1-integrin in promoting cell motility and tamoxifen resistance of human breast cancer MCF-7 cells. Asia Pac J Clin Oncol 2023; 19:e223-e230. [PMID: 36065151 DOI: 10.1111/ajco.13841] [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: 04/12/2022] [Revised: 08/03/2022] [Accepted: 08/13/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND The mechanism of acquired resistance of tamoxifen in endocrine therapy of breast cancer is not fully understood. In this study, we investigated the genomic changes in acquired tamoxifen-resistant cell lines. METHODS Tamoxifen-resistant subclones (MCF-7R) derived from parent MCF-7 cells, which is an ER(+) breast cancer cell line, cultured with 4-hydrotamoxifen more than 6 months were used to obtain genomic alterations. Cell growth, microarray, and quantitative real-time PCR (q-RTPCR) assays were conducted. Additionally, the ITGB1 function was investigated in MCF-7R cells and MCF-7R ITGB1-silenced subclones using MTT and Transwell assays. Online pathway analysis was performed to assess the genetic characteristics of tamoxifen resistance. RESULTS The gene expression profile of the tamoxifen-resistant cell line was considerably changed compared to the tamoxifen-sensitive cell line. Of 4102 genes with altered expressions, 1986 genes were upregulated, whereas 2116 were downregulated. The ITGB1 expression in MCF-7R cells was higher than that in MCF-7 cells. Interestingly, ITGB1 silencing partially rescued the sensitivity of MCF-7R cells to tamoxifen and reduced their motility. The activation of the β1-integrin signaling pathway was probably responsible for this phenomenon. CONCLUSIONS Our data confirm the presence of alterations in the genes of tamoxifen-resistance breast cancer cells. ITGB1 probably partially contributes to tamoxifen resistance and cell motility via the β1-integrin signaling pathway. Thus, ITGB1 may be a potential target for the improvement of anti-hormone therapy reaction in ER(+) breast cancer patients.
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Affiliation(s)
- Song Hu
- Department of General Surgery, Chongqing University Central Hospital (Chong qing Emergency Medical Center), Chongqing, China
| | - Qian Yang
- Department of General Surgery, Chongqing University Central Hospital (Chong qing Emergency Medical Center), Chongqing, China
| | - Zhenhai Chen
- Department of General Surgery, Chongqing University Central Hospital (Chong qing Emergency Medical Center), Chongqing, China
| | - Weijie Fu
- Department of General Surgery, Chongqing University Central Hospital (Chong qing Emergency Medical Center), Chongqing, China
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Breast cancer: emerging principles of metastasis, adjuvant and neoadjuvant treatment from cancer registry data. J Cancer Res Clin Oncol 2023; 149:721-735. [PMID: 36538148 PMCID: PMC9931789 DOI: 10.1007/s00432-022-04369-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 09/17/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE Growing primary breast cancers (PT) can initiate local recurrences (LR), regional lymph nodes (pLN) and distant metastases (MET). Components of these progressions are initiation, frequency, growth duration, and survival. These characteristics describe principles which proposed molecular concepts and hypotheses must align with. METHODS In a population-based retrospective modeling approach using data from the Munich Cancer Registry key steps and factors associated with metastasis were identified and quantified. Analysis of 66.800 patient datasets over four time periods since 1978, reliable evidence is obtained even in small subgroups. Together with results of clinical trials on prevention and adjuvant treatment (AT) principles for the MET process and AT are derived. RESULTS The median growth periods for PT/MET/LR/pLN comes to 12.5/8.8/5/3.5 years, respectively. Even if 30% of METs only appear after 10 years, a pre-diagnosis MET initiation principle not a delayed one should be true. The growth times of PTs and METs vary by a factor of 10 or more but their ratio is robust at about 1.4. Principles of AT are 50% PT eradication, the selective and partial eradication of bone and lung METs. This cannot be improved by extending the duration of the previously known ATs. CONCLUSION A paradigm of ten principles for the MET process and ATs is derived from real world data and clinical trials indicates that there is no rationale for the long-term application of endocrine ATs, risk of PTs by hormone replacement therapies, or cascading initiation of METs. The principles show limits and opportunities for innovation also through alternative interpretations of well-known studies. The outlined MET process should be generalizable to all solid tumors.
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Kesztyüs D, Kämpfer J, Kesztyüs T. Intermittent Use of Anti-Hormonal Agents for the Endocrine Therapy of Sex-Hormone-Dependent Breast and Prostate Cancer: A Protocol for a Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15486. [PMID: 36497561 PMCID: PMC9735951 DOI: 10.3390/ijerph192315486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/10/2022] [Accepted: 11/19/2022] [Indexed: 06/17/2023]
Abstract
Therapies with the continuous administration of anti-hormonal agents in sex-hormone-dependent malignancies such as prostate and breast carcinomas often lead to the development of resistant tumor cells. A systematic evaluation of the use and effects of the intermittent application of endocrine therapy could provide information on the state of knowledge in this research area. PubMed, Cochrane Library, Embase, and Web of Science will be systematically searched using pretested search strategies. Randomized and non-randomized controlled trials, pragmatic trials, case-control, and comparative cohort studies will be eligible. Primary outcomes will be progression-free survival, disease-free survival, and overall survival. The literature retrieved will be selected based on predefined inclusion and exclusion criteria. Relevant data will be extracted from included references into a pre-designed table. The risk of bias will be assessed, and the report of the results will follow PRISMA recommendations and include any deviations from this protocol. The increasing prevalence of breast and prostate cancer and limitations of current therapeutic approaches require a closer look at alternatives. Additionally, to explore new therapeutic agents, modalities of administration should be rigorously reviewed to determine the best regimens for patients. This proposed systematic review aims to summarize and evaluate the current knowledge regarding intermittent endocrine cancer therapy to provide a basis for further research.
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Lopes Cardozo JMN, Drukker CA, Rutgers EJT, Schmidt MK, Glas AM, Witteveen A, Cardoso F, Piccart M, Esserman LJ, Poncet C, van 't Veer LJ. Outcome of Patients With an Ultralow-Risk 70-Gene Signature in the MINDACT Trial. J Clin Oncol 2022; 40:1335-1345. [PMID: 35061525 DOI: 10.1200/jco.21.02019] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
PURPOSE Patients with 70-gene signature ultralow-risk breast cancers have shown excellent survival in historic cohorts, including randomized trials. The ultralow-risk subgroup was characterized to help avoid overtreatment. We evaluated outcomes of ultralow-risk patients in the largest cohort to date. METHODS Of the 6,693 patients enrolled in the EORTC-10041/BIG-3-04 randomized phase III MINDACT trial, profiling revealed an ultralow-risk 70-gene signature in 1,000 patients (15%). Distant metastasis-free interval (DMFI) and breast cancer-specific survival (BCSS) were assessed in patients stratified by 70-gene signature result (high, low, and ultralow) by Kaplan-Meier analysis and hazard ratios with 95% CI from Cox regression. RESULTS Median follow-up was 8.7 years. Of the ultralow-risk patients (n = 1,000), 67% were > 50 years, 81% had tumors ≤ 2 cm, 80% were lymph node-negative, 96% had grade 1 or 2 tumors, and 99% were estrogen receptor (ER)-positive. Systemic therapy was received by 84% of patients (69% endocrine therapy, 14% endocrine therapy plus chemotherapy, 1% other) and 16% received no adjuvant systemic treatment. The 8-year DMFI for ultralow-risk patients was 97.0% (95% CI, 95.8 to 98.1), which was 2.5% higher than for patients with low-risk tumors (n = 3,295, 94.5% [95% CI, 93.6 to 95.3]). The hazard ratio for DMFI was 0.65 (95% CI, 0.45 to 0.94) for ultralow versus low risk, after adjusting for clinical-pathologic and treatment characteristics. The 8-year BCSS for ultralow-risk patients was 99.6% (95% CI, 99.1 to 100). CONCLUSION Patients with an ultralow-risk 70-gene signature have the best prognosis, distinctive from low risk, with 8-year BCSS above 99%, and very few patients developed distant metastases with an 8-year DMFI rate of 97%. These patients could be candidates for further de-escalation of treatment, to avoid overtreatment and the risk of side effects.
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Affiliation(s)
- Josephine M N Lopes Cardozo
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.,European Organisation for Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium
| | - Caroline A Drukker
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Emiel J T Rutgers
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | | | | | - Fatima Cardoso
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
| | - Martine Piccart
- Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Laura J Esserman
- Department of Surgery, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
| | - Coralie Poncet
- European Organisation for Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium
| | - Laura J van 't Veer
- Department of Laboratory Medicine, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
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Kumar Y, Gupta S, Singla R, Hu YC. A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING : STATE OF THE ART REVIEWS 2021; 29:2043-2070. [PMID: 34602811 PMCID: PMC8475374 DOI: 10.1007/s11831-021-09648-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 09/11/2021] [Indexed: 05/05/2023]
Abstract
Artificial intelligence has aided in the advancement of healthcare research. The availability of open-source healthcare statistics has prompted researchers to create applications that aid cancer detection and prognosis. Deep learning and machine learning models provide a reliable, rapid, and effective solution to deal with such challenging diseases in these circumstances. PRISMA guidelines had been used to select the articles published on the web of science, EBSCO, and EMBASE between 2009 and 2021. In this study, we performed an efficient search and included the research articles that employed AI-based learning approaches for cancer prediction. A total of 185 papers are considered impactful for cancer prediction using conventional machine and deep learning-based classifications. In addition, the survey also deliberated the work done by the different researchers and highlighted the limitations of the existing literature, and performed the comparison using various parameters such as prediction rate, accuracy, sensitivity, specificity, dice score, detection rate, area undercover, precision, recall, and F1-score. Five investigations have been designed, and solutions to those were explored. Although multiple techniques recommended in the literature have achieved great prediction results, still cancer mortality has not been reduced. Thus, more extensive research to deal with the challenges in the area of cancer prediction is required.
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Affiliation(s)
- Yogesh Kumar
- Department of Computer Engineering, Indus Institute of Technology & Engineering, Indus University, Rancharda, Via: Shilaj, Ahmedabad, Gujarat 382115 India
| | - Surbhi Gupta
- School of Computer Science and Engineering, Model Institute of Engineering and Technology, Kot bhalwal, Jammu, J&K 181122 India
| | - Ruchi Singla
- Department of Research, Innovations, Sponsored Projects and Entrepreneurship, Chandigarh Group of Colleges, Landran, Mohali India
| | - Yu-Chen Hu
- Department of Computer Science and Information Management, Providence University, Taichung City, Taiwan, ROC
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Oparina N, Erlandsson MC, Fäldt Beding A, Parris T, Helou K, Karlsson P, Einbeigi Z, Bokarewa MI. Prognostic Significance of BIRC5/Survivin in Breast Cancer: Results from Three Independent Cohorts. Cancers (Basel) 2021; 13:cancers13092209. [PMID: 34064473 PMCID: PMC8125570 DOI: 10.3390/cancers13092209] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/28/2021] [Accepted: 05/01/2021] [Indexed: 12/13/2022] Open
Abstract
Simple Summary Survivin, coded by the BIRC5 gene, is the cell death preventing protein, which is important for cell division in normal and cancer cells. It is intensively studied as a cancer biomarker and target for antitumor therapy. In this study we asked if we could get clinically helpful information on how active BIRC5 is in breast cancer patients? We studied the BIRC5 protein level in tumor samples for breast cancer patients from a West Swedish cohort and its mRNA level in two different public gene expression databases. Survival analysis demonstrated that a higher BIRC5 protein or mRNA level was associated with poor survival in all cohorts and for different cancer subtypes. We show that BIRC5 is a promising independent cancer survival marker. Abstract Breast cancer (BC) histological and molecular classifications significantly improved the treatment strategy and prognosis. Inhibitor of apoptosis BIRC5/survivin is often overexpressed in cancers, however, indications of its importance in BC are inconsistent. We integrate BIRC5 protein and mRNA measures with clinical associates and long-term outcome in three independent cohorts Protein levels of BIRC5 were measured in primary lysates of 845 patients of the West Swedish BC cohort (VGR-BC) and linked to 5- and 27-years survival. The results were externally validated in transcriptomic data from METABRIC and SCAN-B cohorts. Survival analysis showed that high levels of BIRC5 were consistently associated with a poor probability of 5-year overall survival. High BIRC5 in VGR-BC contributed negatively to the disease-specific survival at 5 and 27 years. Subsets with different status by ER (estrogen receptor) expression and presence of nodal metastasis supported independent association of high BIRC5 with poor prognosis in all cohorts. In METABRIC and SCAN-B cohorts, high levels of BIRC5 mRNA were associated with the basal-like and luminal B molecular BC subtypes and with increasing histologic grade. BIRC5 is a sensitive survival marker that acts independent of ER and nodal status, and its levels need to be considered when making treatment decisions.
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Affiliation(s)
- Nina Oparina
- Department of Rheumatology and Inflammation Research, Institute of Medicine, University of Gothenburg; 40530 Gothenburg, Sweden; (M.C.E.); (M.I.B.)
- Correspondence:
| | - Malin C. Erlandsson
- Department of Rheumatology and Inflammation Research, Institute of Medicine, University of Gothenburg; 40530 Gothenburg, Sweden; (M.C.E.); (M.I.B.)
- Rheumatology Clinic, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
| | - Anna Fäldt Beding
- Department of Medicine and Oncology, Southern Älvsborg Hospital, 50182 Borås, Sweden; (A.F.B.); (Z.E.)
| | - Toshima Parris
- Department of Oncology, Institute of Clinical Science at Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (T.P.); (K.H.); (P.K.)
| | - Khalil Helou
- Department of Oncology, Institute of Clinical Science at Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (T.P.); (K.H.); (P.K.)
- The King Gustav Vth Jubilee Clinic, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
| | - Per Karlsson
- Department of Oncology, Institute of Clinical Science at Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (T.P.); (K.H.); (P.K.)
- The King Gustav Vth Jubilee Clinic, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
| | - Zakaria Einbeigi
- Department of Medicine and Oncology, Southern Älvsborg Hospital, 50182 Borås, Sweden; (A.F.B.); (Z.E.)
- Department of Oncology, Institute of Clinical Science at Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (T.P.); (K.H.); (P.K.)
| | - Maria I. Bokarewa
- Department of Rheumatology and Inflammation Research, Institute of Medicine, University of Gothenburg; 40530 Gothenburg, Sweden; (M.C.E.); (M.I.B.)
- Rheumatology Clinic, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
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