دورية أكاديمية
أعرض في EDS

Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls.

التفاصيل البيبلوغرافية
العنوان: Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls.
المؤلفون: Vallejos PA; Department of Basic Science, Division of Biochemistry, Loma Linda University School of Medicine, Loma Linda, CA, USA.; Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA., Gonda A; Department of Surgery, Division of Surgical Oncology, University of California, Irvine Medical Center, Orange, CA, USA., Yu J; Department of Surgery, Division of Surgical Oncology, University of California, Irvine Medical Center, Orange, CA, USA., Sullivan BG; Department of Surgery, Division of Surgical Oncology, University of California, Irvine Medical Center, Orange, CA, USA., Ostowari A; Department of Surgery, Division of Surgical Oncology, University of California, Irvine Medical Center, Orange, CA, USA., Kwong ML; Division of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA., Choi A; Division of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA., Selleck MJ; Division of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA., Kabagwira J; Department of Basic Science, Division of Biochemistry, Loma Linda University School of Medicine, Loma Linda, CA, USA.; Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA., Fuller RN; Department of Basic Science, Division of Biochemistry, Loma Linda University School of Medicine, Loma Linda, CA, USA.; Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA., Gironda DJ; Department of Cancer Biology, Wake Forest Health, Winston-Salem, NC, USA., Levine EA; Department of Surgery, Division of Surgical Oncology, Wake Forest Health, Winston-Salem, NC, USA., Hughes CCW; Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA., Wall NR; Department of Basic Science, Division of Biochemistry, Loma Linda University School of Medicine, Loma Linda, CA, USA.; Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA., Miller LD; Department of Cancer Biology, Wake Forest Health, Winston-Salem, NC, USA., Senthil M; Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA. maheswas@hs.uci.edu.
المصدر: Annals of surgical oncology [Ann Surg Oncol] 2023 Jun; Vol. 30 (6), pp. 3833-3844. Date of Electronic Publication: 2023 Mar 02.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE
أسماء مطبوعة: Publication: 2005- : New York, NY : Springer
Original Publication: New York, NY : Raven Press, c1994-
مواضيع طبية MeSH: Exosomes*/genetics , Exosomes*/metabolism , Colonic Neoplasms*/pathology, Humans ; Biomarkers, Tumor/metabolism ; Bayes Theorem ; RNA/metabolism
مستخلص: Background: Liquid biopsies have become an integral part of cancer management as minimally invasive options to detect molecular and genetic changes. However, current options show poor sensitivity in peritoneal carcinomatosis (PC). Novel exosome-based liquid biopsies may provide critical information on these challenging tumors. In this initial feasibility analysis, we identified an exosome gene signature of 445 genes (ExoSig445) from colon cancer patients, including those with PC, that is distinct from healthy controls.
Methods: Plasma exosomes from 42 patients with metastatic and non-metastatic colon cancer and 10 healthy controls were isolated and verified. RNAseq analysis of exosomal RNA was performed and differentially expressed genes (DEGs) were identified by the DESeq2 algorithm. The ability of RNA transcripts to discriminate control and cancer cases was assessed by principal component analysis (PCA) and Bayesian compound covariate predictor classification. An exosomal gene signature was compared with tumor expression profiles of The Cancer Genome Atlas.
Results: Unsupervised PCA using exosomal genes with greatest expression variance showed stark separation between controls and patient samples. Using separate training and test sets, gene classifiers were constructed capable of discriminating control and patient samples with 100% accuracy. Using a stringent statistical threshold, 445 DEGs fully delineated control from cancer samples. Furthermore, 58 of these exosomal DEGs were found to be overexpressed in colon tumors.
Conclusions: Plasma exosomal RNAs can robustly discriminate colon cancer patients, including patients with PC, from healthy controls. ExoSig445 can potentially be developed as a highly sensitive liquid biopsy test in colon cancer.
(© 2023. The Author(s).)
التعليقات: Comment in: Ann Surg Oncol. 2023 Jun;30(6):3845-3846. (PMID: 36856910)
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معلومات مُعتمدة: Grants to promote Collaborative Loma Linda University; Translational Loma Linda University
المشرفين على المادة: 0 (Biomarkers, Tumor)
63231-63-0 (RNA)
تواريخ الأحداث: Date Created: 20230302 Date Completed: 20230515 Latest Revision: 20230525
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC10175396
DOI: 10.1245/s10434-023-13219-7
PMID: 36864326
قاعدة البيانات: MEDLINE
الوصف
تدمد:1534-4681
DOI:10.1245/s10434-023-13219-7