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Tang X, Lin Y, He J, Luo X, Liang J, Zhu X. Downregulated miRNA-491-3p accelerates colorectal cancer growth by increasing uMtCK expression. PeerJ 2022; 10:e14285. [PMID: 36518289 PMCID: PMC9744150 DOI: 10.7717/peerj.14285] [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: 06/17/2022] [Accepted: 10/02/2022] [Indexed: 11/29/2022] Open
Abstract
Colorectal carcinoma (CRC) is the second most frequent cancer worldwide. MiR-491-3p, a tumor-suppressive microRNA (miRNA, miR), has been revealed to be abnormally expressed in CRC tissues. Meanwhile, up-regulated ubiquitous mitochondrial creatine kinase (uMtCK) contributes to CRC cell proliferation. Here we aim to explore whether aberrant miR-491-3p expression promotes CRC progression through regulating uMtCK. To this end, miR-491-3p and uMtCK levels were assessed in CRC tissues using quantitative real-time PCR (qRT-PCR). The biological roles of miR-491-3p and uMtCK in regulating CRC growth were evaluated using colony formation assay and mouse Xenograft tumour model. We found that miR-491-3p expression was decreased in CRC tissues compared with matched para-cancerous tissues, whereas uMtCK expression was increased. Functionally, miR-491-3p overexpression repressed SW480 cell growth, whereas miR-491-3p depletion accelerated SW620 cell proliferation and growth. Inversely, uMtCK positively regulated CRC cell proliferation. Mechanistically, miR-491-3p post-transcriptionally downregulated uMtCK expression by binding to 3'-UTR of uMtCK. Consequently, restoring uMtCK expression markedly eliminated the role of miR-491-3p in suppressing CRC growth. Collectively, miR-491-3p functions as a tumour suppressor gene by repressing uMtCK, and may be a potential target for CRC treatment.
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Affiliation(s)
- Xingkui Tang
- Department of General Surgery, Panyu District Central Hospital, Guangzhou, China
| | - Yukun Lin
- Department of Electron Microscopy, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Jialin He
- Department of General Surgery, Panyu District Central Hospital, Guangzhou, China
| | - Xijun Luo
- Department of General Surgery, Panyu District Central Hospital, Guangzhou, China
| | - Junjie Liang
- Department of General Surgery, Panyu District Central Hospital, Guangzhou, China
| | - Xianjun Zhu
- Department of General Surgery, Panyu District Central Hospital, Guangzhou, China
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4
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De Marchi T, Pyl PT, Sjöström M, Klasson S, Sartor H, Tran L, Pekar G, Malmström J, Malmström L, Niméus E. Proteogenomic Workflow Reveals Molecular Phenotypes Related to Breast Cancer Mammographic Appearance. J Proteome Res 2021; 20:2983-3001. [PMID: 33855848 PMCID: PMC8155562 DOI: 10.1021/acs.jproteome.1c00243] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Indexed: 12/21/2022]
Abstract
Proteogenomic approaches have enabled the generat̲ion of novel information levels when compared to single omics studies although burdened by extensive experimental efforts. Here, we improved a data-independent acquisition mass spectrometry proteogenomic workflow to reveal distinct molecular features related to mammographic appearances in breast cancer. Our results reveal splicing processes detectable at the protein level and highlight quantitation and pathway complementarity between RNA and protein data. Furthermore, we confirm previously detected enrichments of molecular pathways associated with estrogen receptor-dependent activity and provide novel evidence of epithelial-to-mesenchymal activity in mammography-detected spiculated tumors. Several transcript-protein pairs displayed radically different abundances depending on the overall clinical properties of the tumor. These results demonstrate that there are differentially regulated protein networks in clinically relevant tumor subgroups, which in turn alter both cancer biology and the abundance of biomarker candidates and drug targets.
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Affiliation(s)
- Tommaso De Marchi
- Division
of Surgery, Oncology, and Pathology, Department of Clinical Sciences, Lund University, Solvegatan 19, Lund SE-223 62, Sweden
| | - Paul Theodor Pyl
- Division
of Surgery, Oncology, and Pathology, Department of Clinical Sciences, Lund University, Solvegatan 19, Lund SE-223 62, Sweden
| | - Martin Sjöström
- Division
of Surgery, Oncology, and Pathology, Department of Clinical Sciences, Lund University, Solvegatan 19, Lund SE-223 62, Sweden
| | - Stina Klasson
- Department
Plastic and Reconstructive Surgery, Skåne
University Hospital, Inga Marie Nilssons gata 47, Malmö SE-20502, Sweden
| | - Hanna Sartor
- Division
of Diagnostic Radiology, Department of Translational Medicine, Skåne University Hospital, Entrégatan 7, Lund SE-22185, Sweden
| | - Lena Tran
- Division
of Surgery, Oncology, and Pathology, Department of Clinical Sciences, Lund University, Solvegatan 19, Lund SE-223 62, Sweden
| | - Gyula Pekar
- Division
of Oncology and Pathology, Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund SE-22185, Sweden
| | - Johan Malmström
- Division
of Infection Medicine, Department of Clinical Sciences Lund, Faculty
of Medicine, Lund University, Klinikgatan 32, Lund SE-22184, Sweden
| | - Lars Malmström
- S3IT, University of Zurich, Winterthurerstrasse 190, Zurich CH-8057, Switzerland
- Institute
for Computational Science, University of
Zurich, Winterthurerstrasse 190, Zurich CH-8057, Switzerland
| | - Emma Niméus
- Division
of Surgery, Oncology, and Pathology, Department of Clinical Sciences, Lund University, Solvegatan 19, Lund SE-223 62, Sweden
- Department
of Surgery, Skåne University Hospital, Lund 222 42, Sweden
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6
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Lorenzo-Martín LF, Fernández-Parejo N, Menacho-Márquez M, Rodríguez-Fdez S, Robles-Valero J, Zumalave S, Fabbiano S, Pascual G, García-Pedrero JM, Abad A, García-Macías MC, González N, Lorenzano-Menna P, Pavón MA, González-Sarmiento R, Segrelles C, Paramio JM, Tubío JMC, Rodrigo JP, Benitah SA, Cuadrado M, Bustelo XR. VAV2 signaling promotes regenerative proliferation in both cutaneous and head and neck squamous cell carcinoma. Nat Commun 2020; 11:4788. [PMID: 32963234 PMCID: PMC7508832 DOI: 10.1038/s41467-020-18524-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 08/27/2020] [Indexed: 12/30/2022] Open
Abstract
Regenerative proliferation capacity and poor differentiation are histological features usually linked to poor prognosis in head and neck squamous cell carcinoma (hnSCC). However, the pathways that regulate them remain ill-characterized. Here, we show that those traits can be triggered by the RHO GTPase activator VAV2 in keratinocytes present in the skin and oral mucosa. VAV2 is also required to maintain those traits in hnSCC patient-derived cells. This function, which is both catalysis- and RHO GTPase-dependent, is mediated by c-Myc- and YAP/TAZ-dependent transcriptomal programs associated with regenerative proliferation and cell undifferentiation, respectively. High levels of VAV2 transcripts and VAV2-regulated gene signatures are both associated with poor hnSCC patient prognosis. These results unveil a druggable pathway linked to the malignancy of specific SCC subtypes. The Rho signalling pathway is frequently activated in squamous carcinomas. Here, the authors find that the Rho GEF VAV2 is over expressed in both cutaneous and head and neck squamous cell carcinomas and that at the molecular level VAV2 promotes a pro-tumorigenic stem cell-like signalling programme.
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Affiliation(s)
- L Francisco Lorenzo-Martín
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Natalia Fernández-Parejo
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Mauricio Menacho-Márquez
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Inmunología Clínica y Experimental de Rosario (IDICER, CONICET-UNR). Facultad de Ciencias Médicas Universidad Nacional de Rosario (M.M.-M.) and CellPress editorial office (S.F.), S2000LRJ, Rosario, Argentina
| | - Sonia Rodríguez-Fdez
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Javier Robles-Valero
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Sonia Zumalave
- Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | - Salvatore Fabbiano
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Inmunología Clínica y Experimental de Rosario (IDICER, CONICET-UNR). Facultad de Ciencias Médicas Universidad Nacional de Rosario (M.M.-M.) and CellPress editorial office (S.F.), S2000LRJ, Rosario, Argentina
| | - Gloria Pascual
- Institute for Research in Biomedicine, 33011, Barcelona, Spain.,The Barcelona Institute of Science and Technology, Barcelona, 33011, Spain
| | - Juana M García-Pedrero
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.,Hospital Universitario Central de Asturias, Oviedo University, 33011, Oviedo, Spain
| | - Antonio Abad
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - María C García-Macías
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Nazareno González
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Pablo Lorenzano-Menna
- Laboratory of Molecular Oncology and National University of Quilmes, Buenos Aires, B1876BXD, Argentina.,National Council of Scientific and Technical Research (CONICET), National University of Quilmes, Buenos Aires, B1876BXD, Argentina
| | - Miguel A Pavón
- Institut Català d'Oncologia, 08908, L'Hospitalet de Llobregat, Spain.,Centro Biomédica de Investigación en Red de Enfermedades Respiratorias (CIBERESP), 08908, L'Hospitalet de Llobregat, Spain
| | - Rogelio González-Sarmiento
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Investigación Biomédica de Salamanca, 37007, Salamanca, Spain
| | - Carmen Segrelles
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040, Madrid, Spain
| | - Jesús M Paramio
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040, Madrid, Spain
| | - José M C Tubío
- Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, 15782, Santiago de Compostela, Spain
| | - Juan P Rodrigo
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.,Hospital Universitario Central de Asturias, Oviedo University, 33011, Oviedo, Spain
| | - Salvador A Benitah
- Institute for Research in Biomedicine, 33011, Barcelona, Spain.,The Barcelona Institute of Science and Technology, Barcelona, 33011, Spain.,Catalan Institution for Research and Advanced Studies (ICREA), 33011, Barcelona, Spain
| | - Myriam Cuadrado
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Xosé R Bustelo
- Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain. .,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain. .,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.
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8
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He SY, Xi WJ, Wang X, Xu CH, Cheng L, Liu SY, Meng QQ, Li B, Wang Y, Shi HB, Wang HJ, Wang ZZ. Identification of a Combined RNA Prognostic Signature in Adenocarcinoma of the Lung. Med Sci Monit 2019; 25:3941-3956. [PMID: 31132294 PMCID: PMC6556069 DOI: 10.12659/msm.913727] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background Adenocarcinoma of the lung is a type of non-small cell lung cancer (NSCLC). Clinical outcome is associated with tumor grade, stage, and subtype. This study aimed to identify RNA expression profiles, including long noncoding RNA (lncRNA), microRNA (miRNA), and mRNA, associated with clinical outcome in adenocarcinoma of the lung using bioinformatics data. Material/Methods The miRNA and mRNA expression profiles were downloaded from The Cancer Genome Atlas (TCGA) database, and lncRNA expression profiles were downloaded from The Atlas of Noncoding RNAs in Cancer (TANRIC) database. The independent dataset, the Gene Expression Omnibus (GEO) accession dataset, GSE81089, was used. RNA expression profiles were used to identify comprehensive prognostic RNA signatures based on patient survival time. Results From 7,704 lncRNAs, 787 miRNAs, and 28,937 mRNAs of 449 patients, four joint RNA molecular signatures were identified, including RP11-909N17.2, RP11-14N7.2 (lncRNAs), MIR139 (miRNA), KLHDC8B (mRNA). The random forest (RF) classifier was used to test the prediction ability of patient survival risk and showed a good predictive accuracy of 71% and also showed a significant difference in overall survival (log-rank P=0.0002; HR, 3.54; 95% CI, 1.74–7.19). The combined RNA signature also showed good performance in the identification of patient survival in the validation and independent datasets. Conclusions This study identified four RNA sequences as a prognostic molecular signature in adenocarcinoma of the lung, which may also provide an increased understanding of the molecular mechanisms underlying the pathogenesis of this malignancy.
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Affiliation(s)
- Si-Yu He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Wen-Jing Xi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Xin Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Chao-Han Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Liang Cheng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Si-Yao Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Qian-Qian Meng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Boyan Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Yahui Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Hong-Bo Shi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
| | - Hong-Jiu Wang
- College of Science, Heilongjiang University of Science and Technology, Harbin, Heilongjiang, China (mainland)
| | - Zhen-Zhen Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China (mainland)
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