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Sökning: WFRF:(Kumari Renu) > C1QA and COMP: plas...

C1QA and COMP: plasma-based biomarkers for early diagnosis of pancreatic neuroendocrine tumors

Gorai, Priya Kumari (författare)
Department of Anatomy, All India Institute of Medical Sciences, New Delhi, India
Bharti, Prahalad Singh (författare)
Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
Kumar, Shashi (författare)
Department of Metabolic Engineering, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
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Rajacharya, Girish H. (författare)
Department of Metabolic Engineering, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
Bandyopadhyay, Sabyasachi (författare)
Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
Pal, Sujoy (författare)
Department of GI Surgery, All India Institute of Medical Sciences, New Delhi, India
Dhingra, Renu (författare)
Department of Anatomy, All India Institute of Medical Sciences, New Delhi, India
Kumar, Rakesh (författare)
Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India
Nikolajeff, Fredrik (författare)
Luleå tekniska universitet,Omvårdnad och medicinsk teknik
Kumar, Saroj (författare)
Luleå tekniska universitet,Omvårdnad och medicinsk teknik,Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
Rani, Neerja (författare)
Department of Anatomy, All India Institute of Medical Sciences, New Delhi, India
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 (creator_code:org_t)
Springer Nature, 2023
2023
Engelska.
Ingår i: Scientific Reports. - : Springer Nature. - 2045-2322. ; 13:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Pancreatic Neuroendocrine tumors (PanNET) are challenging to diagnose and often detected at advanced stages due to a lack of specific and sensitive biomarkers. This study utilized proteomics as a valuable approach for cancer biomarker discovery; therefore, mass spectrometry-based proteomic profiling was conducted on plasma samples from 12 subjects (3 controls; 5 Grade I, 4 Grade II PanNET patients) to identify potential proteins capable of effectively distinguishing PanNET from healthy controls. Data are available via ProteomeXchange with the identifier PXD045045. 13.2% of proteins were uniquely identified in PanNET, while 60% were commonly expressed in PanNET and controls. 17 proteins exhibiting significant differential expression between PanNET and controls were identified with downstream analysis. Further, 5 proteins (C1QA, COMP, HSP90B1, ITGA2B, and FN1) were selected by pathway analysis and were validated using Western blot analysis. Significant downregulation of C1QA (p = 0.001: within groups, 0.03: control vs. grade I, 0.0013: grade I vs. grade II) and COMP (p = 0.011: within groups, 0.019: control vs grade I) were observed in PanNET Grade I & II than in controls. Subsequently, ELISA on 38 samples revealed significant downregulation of C1QA and COMP with increasing disease severity. This study shows the potential of C1QA and COMP in the early detection of PanNET, highlighting their role in the search for early-stage (Grade-I and Grade-II) diagnostic markers and therapeutic targets for PanNET.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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Biomedical Engineering
Medicinsk teknik

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