Publication:
Cancer Stem Cell Transcriptome Profiling Reveals Seed Genes of Tumorigenesis: New Avenues for Cancer Precision Medicine

dc.contributor.authorARĞA, KAZIM YALÇIN
dc.contributor.authorsComertpay, Betul; Gulfidan, Gizem; Arga, Kazim Yalcin; Gov, Esra
dc.date.accessioned2022-03-12T22:56:39Z
dc.date.accessioned2026-01-11T15:19:47Z
dc.date.available2022-03-12T22:56:39Z
dc.date.issued2021
dc.description.abstractCancer stem-like cells (CSCs) possess the ability to self-renew and differentiate, and they are among the major factors driving tumorigenesis, metastasis, and resistance to chemotherapy. Therefore, it is critical to understand the molecular substrates of CSC biology so as to discover novel molecular biosignatures that distinguish CSCs and tumor cells. Here, we report new findings and insights by employing four transcriptome datasets associated with CSCs, with CSC and tumor samples from breast, lung, oral, and ovarian tissues. The CSC samples were analyzed to identify differentially expressed genes between CSC and tumor phenotypes. Through comparative profiling of expression levels in different cancer types, we identified 17 seed genes that showed a mutual differential expression pattern. We showed that these seed genes were strongly associated with cancer-associated signaling pathways and biological processes, the immune system, and the key cancer hallmarks. Further, the seed genes presented significant changes in their expression profiles in different cancer types and diverse mutation rates, and they also demonstrated high potential as diagnostic and prognostic biomarkers in various cancers. We report a number of seed genes that represent significant potential as systems biomarkers for understanding the pathobiology of tumorigenesis. Seed genes offer a new innovation avenue for potential applications toward cancer precision medicine in a broad range of cancers in oncology in the future.
dc.identifier.doi10.1089/omi.2021.0021
dc.identifier.eissn1557-8100
dc.identifier.issn1536-2310
dc.identifier.pubmed34037481
dc.identifier.urihttps://hdl.handle.net/11424/236956
dc.identifier.wosWOS:000654452000001
dc.language.isoeng
dc.publisherMARY ANN LIEBERT, INC
dc.relation.ispartofOMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectcancer stem cells
dc.subjectbiomarkers
dc.subjectcomputational systems biology
dc.subjectcancer precision medicine
dc.subjectoncology
dc.subjectbioinformatics
dc.subjectomics
dc.subjectEXPRESSION
dc.subjectBREAST
dc.subjectINHIBITION
dc.subjectSIGNATURES
dc.subjectBIOMARKER
dc.subjectINSIGHTS
dc.subjectGADD45A
dc.subjectBIOLOGY
dc.subjectROLES
dc.subjectAXIS
dc.titleCancer Stem Cell Transcriptome Profiling Reveals Seed Genes of Tumorigenesis: New Avenues for Cancer Precision Medicine
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage388
oaire.citation.issue6
oaire.citation.startPage372
oaire.citation.titleOMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
oaire.citation.volume25

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