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Quantitative mass spectrometry analysis reveals a panel of nine proteins as diagnostic markers for colon adenocarcinomas.
Atak, Apurva; Khurana, Samiksha; Gollapalli, Kishore; Reddy, Panga Jaipal; Levy, Roei; Ben-Salmon, Stav; Hollander, Dror; Donyo, Maya; Heit, Anke; Hotz-Wagenblatt, Agnes; Biran, Hadas; Sharan, Roded; Rane, Shailendra; Shelar, Ashutosh; Ast, Gil; Srivastava, Sanjeeva.
Afiliação
  • Atak A; Proteomics Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
  • Khurana S; Proteomics Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
  • Gollapalli K; Proteomics Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
  • Reddy PJ; Proteomics Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
  • Levy R; Department of Human Molecular Genetics and Biochemistry, Sackler Medical School, Tel Aviv University, Tel Aviv 69978, Israel.
  • Ben-Salmon S; Department of Human Molecular Genetics and Biochemistry, Sackler Medical School, Tel Aviv University, Tel Aviv 69978, Israel.
  • Hollander D; Department of Human Molecular Genetics and Biochemistry, Sackler Medical School, Tel Aviv University, Tel Aviv 69978, Israel.
  • Donyo M; Department of Human Molecular Genetics and Biochemistry, Sackler Medical School, Tel Aviv University, Tel Aviv 69978, Israel.
  • Heit A; Bioinformatics Group, Genomics and Proteomics Core Facility (GPCF), German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
  • Hotz-Wagenblatt A; Bioinformatics Group, Genomics and Proteomics Core Facility (GPCF), German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
  • Biran H; Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
  • Sharan R; Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
  • Rane S; Shimadzu Analytical (India) Pvt. Ltd, 1A/B, Rushabh Chambers, Makwana Road, Marol, Andheri (E), Mumbai 400059, India.
  • Shelar A; Shimadzu Analytical (India) Pvt. Ltd, 1A/B, Rushabh Chambers, Makwana Road, Marol, Andheri (E), Mumbai 400059, India.
  • Ast G; Department of Human Molecular Genetics and Biochemistry, Sackler Medical School, Tel Aviv University, Tel Aviv 69978, Israel.
  • Srivastava S; Proteomics Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Oncotarget ; 9(17): 13530-13544, 2018 Mar 02.
Article em En | MEDLINE | ID: mdl-29568375
ABSTRACT
Adenocarcinomas are cancers originating from the gland forming cells of the colon and rectal lining, and are known to be the most common type of colorectal cancers. The current diagnosis strategies for colorectal cancers include biopsy, laboratory tests, and colonoscopy which are time consuming. Identification of protein biomarkers could aid in the detection of colon adenocarcinomas (CACs). In this study, tissue proteome of colon adenocarcinomas (n = 11) was compared with the matched control specimens (n = 11) using isobaric tags for relative and absolute quantitation (iTRAQ) based liquid chromatography-mass spectrometry (LC-MS/MS) approach. A list of 285 significantly altered proteins was identified in colon adenocarcinomas as compared to its matched controls, which are associated with growth and malignancy of the tumors. Protein interaction analysis revealed the association of altered proteins in colon adenocarcinomas with various transcription factors and their targets. A panel of nine proteins was validated using multiple reaction monitoring (MRM). Additionally, S100A9 was also validated using immunoblotting. The identified panel of proteins may serve as potential biomarkers and thereby aid in the detection of colon adenocarcinomas.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article