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Proteomic Alterations in Multiple Myeloma: A Comprehensive Study Using Bone Marrow Interstitial Fluid and Serum Samples.
Chanukuppa, Venkatesh; Taware, Ravindra; Taunk, Khushman; Chatterjee, Tathagat; Sharma, Sanjeevan; Somasundaram, Venkatesan; Rashid, Faraz; Malakar, Dipankar; Santra, Manas K; Rapole, Srikanth.
Afiliação
  • Chanukuppa V; Proteomics Lab, National Centre for Cell Science, Pune, India.
  • Taware R; Savitribai Phule Pune University, Pune, India.
  • Taunk K; Proteomics Lab, National Centre for Cell Science, Pune, India.
  • Chatterjee T; Proteomics Lab, National Centre for Cell Science, Pune, India.
  • Sharma S; Army Hospital (Research and Referral), New Delhi, India.
  • Somasundaram V; Armed Forces Medical College, Pune, India.
  • Rashid F; Armed Forces Medical College, Pune, India.
  • Malakar D; Sciex, Gurgaon, India.
  • Santra MK; Sciex, Gurgaon, India.
  • Rapole S; Cancer Biology and Epigenetics Lab, National Centre for Cell Science, Pune, India.
Front Oncol ; 10: 566804, 2020.
Article em En | MEDLINE | ID: mdl-33585190
ABSTRACT
Multiple myeloma (MM) is a plasma cell-associated cancer and exists as the second most common hematological malignancy worldwide. Although researchers have been working on MM, a comprehensive quantitative Bone Marrow Interstitial Fluid (BMIF) and serum proteomic analysis from the same patients' samples is not yet reported. The present study involves the investigation of alterations in the BMIF and serum proteome of MM patients compared to controls using multipronged quantitative proteomic approaches viz., 2D-DIGE, iTRAQ, and SWATH-MS. A total of 279 non-redundant statistically significant differentially abundant proteins were identified by the combination of three proteomic approaches in MM BMIF, while in the case of serum 116 such differentially abundant proteins were identified. The biological context of these dysregulated proteins was deciphered using various bioinformatic tools. Verification experiments were performed in a fresh independent cohort of samples using immunoblotting and mass spectrometry based SRM assays. Thorough data evaluation led to the identification of a panel of five proteins viz., haptoglobin, kininogen 1, transferrin, and apolipoprotein A1 along with albumin that was validated using ELISA in a larger cohort of serum samples. This panel of proteins could serve as a useful tool in the diagnosis and understanding of the pathophysiology of MM in the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article