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Vafaeizadeh M, Abroun S, Soufi Zomorrod M. Effect of human bone marrow mesenchymal stem cell-derived microvesicles on the apoptosis of the multiple myeloma cell line U266. J Cancer Res Clin Oncol 2024; 150:299. [PMID: 38850382 PMCID: PMC11162395 DOI: 10.1007/s00432-024-05822-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 05/28/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Microvesicles are membraned particles produced by different types of cells recently investigated for anticancer purposes. The current study aimed to investigate the effects of human bone marrow mesenchymal stem cell-derived microvesicles (BMSC-MVs) on the multiple myeloma cell line U266. BMSC-MVs were isolated from BMSCs via ultracentrifugation and characterized using transmission electron microscopy (TEM) and dynamic light scattering (DLS). U266 cells were treated with 15, 30, 60, and 120 µg/mL BMSC-MVs for three and seven days and the effects of treatment in terms of viability, cytotoxicity, and DNA damage were investigated via the MTT assay, lactate dehydrogenase (LDH) assay, and 8‑hydroxy-2'-deoxyguanosine (8‑OHdG) measurement, respectively. Moreover, the apoptosis rate of the U266 cells treated with 60 µg/mL BMSC-MVs was also assessed seven days following treatment via flow cytometry. Ultimately, the expression level of BCL2, BAX, and CCND1 by the U266 cells was examined seven days following treatment with 60 µg/mL BMSC-MVs using qRT-PCR. RESULTS BMSC-MVs had an average size of ~ 410 nm. According to the MTT and LDH assays, BMSC-MV treatment reduced the U266 cell viability and mediated cytotoxic effects against them, respectively. Moreover, elevated 8‑OHdG levels following BMSC-MV treatment demonstrated a dose-dependent increase of DNA damage in the treated cells. BMSC-MV-treated U266 cells also exhibited an increased apoptosis rate after seven days of treatment. The expression level of BCL2 and CCND1 decreased in the treated cells whereas the BAX expression demonstrated an incremental pattern. CONCLUSIONS Our findings accentuate the therapeutic benefit of BMSC-MVs against the multiple myeloma cell line U266 and demonstrate how microvesicles could be of therapeutic advantage. Future in vivo studies could further corroborate these findings.
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Affiliation(s)
- Mona Vafaeizadeh
- Department of Hematology and Cell Therapy, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Saeid Abroun
- Department of Hematology and Cell Therapy, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
| | - Mina Soufi Zomorrod
- Department of Hematology and Cell Therapy, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
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2
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Pellecchia S, Franchini M, Viscido G, Arnese R, Gambardella G. Single cell lineage tracing reveals clonal dynamics of anti-EGFR therapy resistance in triple negative breast cancer. Genome Med 2024; 16:55. [PMID: 38605363 PMCID: PMC11008053 DOI: 10.1186/s13073-024-01327-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 03/29/2024] [Indexed: 04/13/2024] Open
Abstract
BACKGROUND Most primary Triple Negative Breast Cancers (TNBCs) show amplification of the Epidermal Growth Factor Receptor (EGFR) gene, leading to increased protein expression. However, unlike other EGFR-driven cancers, targeting this receptor in TNBC yields inconsistent therapeutic responses. METHODS To elucidate the underlying mechanisms of this variability, we employ cellular barcoding and single-cell transcriptomics to reconstruct the subclonal dynamics of EGFR-amplified TNBC cells in response to afatinib, a tyrosine kinase inhibitor (TKI) that irreversibly inhibits EGFR. RESULTS Integrated lineage tracing analysis revealed a rare pre-existing subpopulation of cells with distinct biological signature, including elevated expression levels of Insulin-Like Growth Factor Binding Protein 2 (IGFBP2). We show that IGFBP2 overexpression is sufficient to render TNBC cells tolerant to afatinib treatment by activating the compensatory insulin-like growth factor I receptor (IGF1-R) signalling pathway. Finally, based on reconstructed mechanisms of resistance, we employ deep learning techniques to predict the afatinib sensitivity of TNBC cells. CONCLUSIONS Our strategy proved effective in reconstructing the complex signalling network driving EGFR-targeted therapy resistance, offering new insights for the development of individualized treatment strategies in TNBC.
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Affiliation(s)
- Simona Pellecchia
- Telethon Institute of Genetics and Medicine, Naples, Italy
- Scuola Superiore Meridionale, Genomics and Experimental Medicine Program, Naples, Italy
| | - Melania Franchini
- Telethon Institute of Genetics and Medicine, Naples, Italy
- Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
| | - Gaetano Viscido
- Telethon Institute of Genetics and Medicine, Naples, Italy
- Department of Chemical, Materials and Industrial Engineering , University of Naples Federico II, Naples, Italy
| | - Riccardo Arnese
- Telethon Institute of Genetics and Medicine, Naples, Italy
- Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
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Kim MW, Moon S, Lee S, Lee H, Kim Y, Kim JY, Kim JY, Kim SI. Exploring miRNA‑target gene profiles associated with drug resistance in patients with breast cancer receiving neoadjuvant chemotherapy. Oncol Lett 2024; 27:158. [PMID: 38426156 PMCID: PMC10902752 DOI: 10.3892/ol.2024.14291] [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: 11/28/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
Exosomal microRNAs (miRNAs) are closely related to drug resistance in patients with breast cancer (BC); however, only a few roles of the exosomal miRNA-target gene networks have been clinically implicated in drug resistance in BC. Therefore, the present study aimed to identify the differential expression of exosomal miRNAs associated with drug resistance and their target mRNAs. In vitro microarray analysis was used to verify differentially expressed miRNAs (DEMs) in drug-resistant BC. Next, tumor-derived exosomes (TDEs) were isolated. Furthermore, it was determined whether the candidate drug-resistant miRNAs were also significant in TDEs, and then putative miRNAs in TDEs were validated in plasma samples from 35 patients with BC (20 patients with BC showing no response and 15 patients with BC showing a complete response). It was confirmed that the combination of five exosomal miRNAs, including miR-125b-5p, miR-146a-5p, miR-484, miR-1246-5p and miR-1260b, was effective for predicting therapeutic response to neoadjuvant chemotherapy, with an area under the curve value of 0.95, sensitivity of 75%, and specificity of 95%. Public datasets were analyzed to identify differentially expressed genes (DEGs) related to drug resistance and it was revealed that BAK1, NOVA1, PTGER4, RTKN2, AGO1, CAP1, and ETS1 were the target genes of exosomal miRNAs. Networks between DEMs and DEGs were highly correlated with mitosis, metabolism, drug transport, and immune responses. Consequently, these targets could be used as predictive markers and therapeutic targets for clinical applications to enhance treatment outcomes for patients with BC.
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Affiliation(s)
- Min Woo Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Sol Moon
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Suji Lee
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Hyojung Lee
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Young Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Joon Ye Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jee Ye Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Seung Il Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
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4
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Saleh T, Al Shboul S, Awad H, El-Sadoni M, Alhesa A, Alsharaiah E, Abu Shahin N, Alotaibi MR, Battah A, Azab B. Characterization of BCL-X L , MCL-1, and BAX Protein Expression in Response to Neoadjuvant Chemotherapy in Breast Cancer. Appl Immunohistochem Mol Morphol 2024; 32:189-199. [PMID: 38426376 DOI: 10.1097/pai.0000000000001189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 01/26/2024] [Indexed: 03/02/2024]
Abstract
The use of chemotherapy has improved the overall treatment of breast cancer, which is frequently administered in the form of neoadjuvant chemotherapy (NAC). Apoptosis is an established cell stress response to NAC in preclinical models; however, there is limited understanding of its role in clinical cancer, specifically, its contribution to favorable pathologic responses in breast cancer therapy. Here, we aimed to characterize the change in protein expression of 3 apoptosis-associated biomarkers, namely, BCL-X L , MCL-1, and BAX in breast cancer in response to NAC. For this, we utilized a set of 68 matched invasive breast cancer FFPE samples that were collected before (pre) and after (post) the exposure to NAC therapy that were characterized by incomplete pathologic response. Immunohistochemistry (IHC) analysis suggested that most of the samples show a decrease in the protein expression of all 3 markers following exposure to NAC as 90%, 69%, and 76% of the matched samples exhibited a decrease in expression for BCL-X L , MCL-1, and BAX, respectively. The median H-score of BCL-X L post-NAC was 150/300 compared with 225/300 pre-NAC ( P value <0.0001). The median H-score of MCL-1 declined from 200 pre-NAC to 160 post-NAC ( P value <0.0001). The median H-score of BAX protein expression decreased from 260 pre-NAC to 190 post-NAC ( P value <0.0001). There was no statistically significant association between the expression of these markers and stage, grade, and hormone receptor profiling (luminal status). Collectively, our data indicate that the expression of apoptosis regulatory proteins changes following exposure to NAC in breast cancer tissue, developing a partial pathologic response.
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Affiliation(s)
- Tareq Saleh
- Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa
| | - Sofian Al Shboul
- Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa
| | - Heyam Awad
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan
| | - Mohammed El-Sadoni
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan
| | - Ahmad Alhesa
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan
| | - Elham Alsharaiah
- Department of Pathology, King Hussein Medical Center, Royal Medical Service, Amman, Jordan
| | - Nisreen Abu Shahin
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan
| | - Moureq R Alotaibi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - AbdelKader Battah
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan
| | - Bilal Azab
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan
- Division of Pathology and Laboratory Medicine, Phoenix Children's Hospital, Phoenix, AZ
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Cui J, Christin JR, Reisz JA, Cendali FI, Sanawar R, Coutinho De Miranda M, D’Alessandro A, Guo W. Targeting ABCA12-controlled ceramide homeostasis inhibits breast cancer stem cell function and chemoresistance. SCIENCE ADVANCES 2023; 9:eadh1891. [PMID: 38039374 PMCID: PMC10691781 DOI: 10.1126/sciadv.adh1891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 11/01/2023] [Indexed: 12/03/2023]
Abstract
Cancer stem cells (CSCs) drive tumor growth, metastasis, and chemoresistance. While emerging evidence suggests that CSCs have a unique dependency on lipid metabolism, the functions and regulation of distinct lipid species in CSCs remain poorly understood. Here, we developed a stem cell factor SOX9-based reporter for isolating CSCs in primary tumors and metastases of spontaneous mammary tumor models. Transcriptomic analyses uncover that SOX9high CSCs up-regulate the ABCA12 lipid transporter. ABCA12 down-regulation impairs cancer stemness and chemoresistance. Lipidomic analyses reveal that ABCA12 maintains cancer stemness and chemoresistance by reducing intracellular ceramide abundance, identifying a CSC-associated function of ABCA subfamily transporter. Ceramide suppresses cancer stemness by inhibiting the YAP-SOX9 signaling pathway in CSCs. Increasing ceramide levels in tumors enhances their sensitivity to chemotherapy and prevents the enrichment of SOX9high CSCs. In addition, SOX9high and ABCA12high cancer cells contribute to chemoresistance in human patient-derived xenografts. These findings identify a CSC-suppressing lipid metabolism pathway that can be exploited to inhibit CSCs and overcome chemoresistance.
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Affiliation(s)
- Jihong Cui
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - John R. Christin
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Julie A. Reisz
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Francesca Isabelle Cendali
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Rahul Sanawar
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Marcelo Coutinho De Miranda
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Angelo D’Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Wenjun Guo
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Montefiore Einstein Cancer Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA
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Wiecek AJ, Cutty SJ, Kornai D, Parreno-Centeno M, Gourmet LE, Tagliazucchi GM, Jacobson DH, Zhang P, Xiong L, Bond GL, Barr AR, Secrier M. Genomic hallmarks and therapeutic implications of G0 cell cycle arrest in cancer. Genome Biol 2023; 24:128. [PMID: 37221612 PMCID: PMC10204193 DOI: 10.1186/s13059-023-02963-4] [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: 06/01/2022] [Accepted: 05/07/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND Therapy resistance in cancer is often driven by a subpopulation of cells that are temporarily arrested in a non-proliferative G0 state, which is difficult to capture and whose mutational drivers remain largely unknown. RESULTS We develop methodology to robustly identify this state from transcriptomic signals and characterise its prevalence and genomic constraints in solid primary tumours. We show that G0 arrest preferentially emerges in the context of more stable, less mutated genomes which maintain TP53 integrity and lack the hallmarks of DNA damage repair deficiency, while presenting increased APOBEC mutagenesis. We employ machine learning to uncover novel genomic dependencies of this process and validate the role of the centrosomal gene CEP89 as a modulator of proliferation and G0 arrest capacity. Lastly, we demonstrate that G0 arrest underlies unfavourable responses to various therapies exploiting cell cycle, kinase signalling and epigenetic mechanisms in single-cell data. CONCLUSIONS We propose a G0 arrest transcriptional signature that is linked with therapeutic resistance and can be used to further study and clinically track this state.
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Affiliation(s)
- Anna J. Wiecek
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Stephen J. Cutty
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Daniel Kornai
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Mario Parreno-Centeno
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Lucie E. Gourmet
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | | | - Daniel H. Jacobson
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
- UCL Cancer Institute, Paul O’Gorman Building, University College London, London, UK
| | - Ping Zhang
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Lingyun Xiong
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Gareth L. Bond
- Institute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Alexis R. Barr
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
- Cell Cycle Control Team, MRC London Institute of Medical Sciences (LMS), London, UK
| | - Maria Secrier
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
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7
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Voorwerk L, Sanders J, Keusters MS, Balduzzi S, Cornelissen S, Duijst M, Lips EH, Sonke GS, Linn SC, Horlings HM, Kok M. Immune landscape of breast tumors with low and intermediate estrogen receptor expression. NPJ Breast Cancer 2023; 9:39. [PMID: 37179445 PMCID: PMC10182974 DOI: 10.1038/s41523-023-00543-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
Immune checkpoint blockade (ICB) is currently approved for patients with triple-negative breast cancer (TNBC), whereas responses to ICB are also observed in a small subgroup of Estrogen Receptor (ER)-positive breast cancer. The cut-off for ER-positivity (≥1%) is based on likelihood of endocrine treatment response, but ER-positive breast cancer represents a very heterogeneous group. This raises the question whether selection based on ER-negativity should be revisited to select patients for ICB treatment in the context of clinical trials. Stromal tumor-infiltrating lymphocytes (sTILs) and other immune parameters are higher in TNBC compared to ER-positive breast cancer, but it is unknown whether lower ER levels are associated with more inflamed tumor microenvironments (TME). We collected a consecutive series of primary tumors from 173 HER2-negative breast cancer patients, enriched for tumors with ER expression between 1 and 99% and found levels of stromal TILs, CD8 + T cells, and PD-L1 positivity in breast tumors with ER 1-9% and ER 10-50% to be comparable to tumors with ER 0%. Expression of immune-related gene signatures in tumors with ER 1-9% and ER 10-50% was comparable to ER 0%, and higher than in tumors with ER 51-99% and ER 100%. Our results suggest that the immune landscape of ER low tumors (1-9%) and ER intermediate tumors (10-50%) mimic that of primary TNBC.
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Affiliation(s)
- Leonie Voorwerk
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Joyce Sanders
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Milou S Keusters
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sara Balduzzi
- Department of Biometrics, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sten Cornelissen
- Core Facility Molecular Pathology & Biobanking, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Maxime Duijst
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Esther H Lips
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Gabe S Sonke
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sabine C Linn
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hugo M Horlings
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Marleen Kok
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
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Zhang W, Li E, Wang L, Lehmann BD, Chen XS. Transcriptome Meta-Analysis of Triple-Negative Breast Cancer Response to Neoadjuvant Chemotherapy. Cancers (Basel) 2023; 15:2194. [PMID: 37190123 PMCID: PMC10137141 DOI: 10.3390/cancers15082194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 04/01/2023] [Accepted: 04/04/2023] [Indexed: 05/17/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is a heterogeneous disease with varying responses to neoadjuvant chemotherapy (NAC). The identification of biomarkers to predict NAC response and inform personalized treatment strategies is essential. In this study, we conducted large-scale gene expression meta-analyses to identify genes associated with NAC response and survival outcomes. The results showed that immune, cell cycle/mitotic, and RNA splicing-related pathways were significantly associated with favorable clinical outcomes. Furthermore, we integrated and divided the gene association results from NAC response and survival outcomes into four quadrants, which provided more insights into potential NAC response mechanisms and biomarker discovery.
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Affiliation(s)
- Wei Zhang
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Emma Li
- California Academy of Mathematics and Science, 1000 E Victoria St, Carson, CA 90747, USA
| | - Lily Wang
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Brian D. Lehmann
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - X. Steven Chen
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
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Web-Based Dynamic Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Breast Cancer Patients with Lung Metastases. J Pers Med 2022; 13:jpm13010043. [PMID: 36675704 PMCID: PMC9864097 DOI: 10.3390/jpm13010043] [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: 10/20/2022] [Revised: 12/12/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND 60-70% of patients who die from breast cancer have lung metastases. However, there is a lack of readily available tools for accurate risk stratification in patients with breast cancer lung metastases (BCLM). Therefore, a web-based dynamic nomogram was developed for BCLM to quickly, accurately, and intuitively assess overall and cancer-specific survival rates. METHODS Patients diagnosed with BCLM between 2004 and 2016 were extracted from the Surveillance, Epidemiology, and Final Results (SEER) database. After excluding incomplete data, all patients were randomly assigned to training and validation cohorts (2:1). Patients' basic clinical information, detailed pathological staging and treatment information, and sociological information were included in further analysis. Nomograms were constructed following the evaluations of the Cox regression model and verified using the concordance index (C-index), calibration curves, time-dependent receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Web-based dynamic nomograms were published online. RESULTS 3916 breast cancer patients with lung metastases were identified from the SEER database. Based on multivariate Cox regression analysis, overall survival (OS) and cancer-specific survival (CSS) are significantly correlated with 13 variables: age, marital status, race, grade, T stage, surgery, chemotherapy, bone metastatic, brain metastatic, liver metastatic, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2). These are included in the construction of the nomogram of OS and CSS. The time-dependent receiver operating characteristic curve, decision curve analysis, consistency index, and calibration curve prove the distinct advantages of the nomogram. CONCLUSIONS Our web-based dynamic nomogram effectively integrates patient molecular subtype and sociodemographic characteristics with clinical characteristics and guidance and can be easily used. ER-Negative should receive attention in diagnosing and treating BCLM.
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Identification of a Gene Panel Predictive of Triple-Negative Breast Cancer Response to Neoadjuvant Chemotherapy Employing Transcriptomic and Functional Validation. Int J Mol Sci 2022; 23:ijms231810901. [PMID: 36142814 PMCID: PMC9506546 DOI: 10.3390/ijms231810901] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 08/30/2022] [Accepted: 09/12/2022] [Indexed: 11/17/2022] Open
Abstract
Triple-negative breast cancer (TNBC) patients exhibiting pathological complete response (pCR) have better clinical outcomes compared to those with residual disease (RD). Therefore, robust biomarkers that can predict pCR may help with triage and resource prioritization in patients with TNBC. Herein, we identified a gene panel predictive of RD and pCR in TNBC from the discovery (n = 90) treatment-naive tumor transcriptomic data. Eight RD-derived genes were identified as TNBC-essential genes, which were highly predicative of overall survival (OS) and relapse-free survival (RFS) in an additional cohort of basal breast cancer (n = 442). Mechanistically, targeted depletion of the eight genes reduced the proliferation potential of TNBC cell models, while most remarkable effects were for combined SLC39A7, TIMM13, BANF1, and MVD knockdown in conjunction with doxorubicin. Orthogonal partial least squares-discriminant analysis (OPLS-DA) and receiver operating characteristic curve (ROC) analyses revealed significant predictive power for the identified gene panels with an area under the curve (AUC) of 0.75 for the validation cohort (n = 50) to discriminate RD from pCR. Protein–Protein Interaction (PPI) network analysis of the pCR-derived gene signature identified an 87-immune gene signature highly predictive of pCR, which correlated with better OS, RFS, and distant-metastasis-free survival (DMFS) in an independent cohort of basal and, to a lesser extent, HER2+ breast cancer. Our data have identified gene signatures predicative of RD and pCR in TNBC with potential clinical implications.
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