Evidence map›Paper›PMID 32878319›Full record

ReviewMedicina (Kaunas, Lithuania)2020

Secretome Proteomic Approaches for Biomarker Discovery: An Update on Colorectal Cancer.

Armando Cevenini, Stefania Orrù, Esther Imperlini

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. High-Throughput Mass Spectrometry Analysis ofJournal of proteome research · 2024
    Article
  3. Article
  4. Cancer secretome: finding out hidden messages in extracellular secretions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Armando CeveniniDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli "Federico II", 80131 Napoli, Italy.ORCID 0000-0002-1858-2833
Stefania OrrùCEINGE-Biotecnologie Avanzate S.c.a r.l., 80145 Napoli, Italy.ORCID 0000-0002-6697-9413
Esther ImperliniIRCCS SDN, 80143 Napoli, Italy.ORCID 0000-0002-3054-7504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Searching for new cancer-related biomarkers is a key priority for the early detection of solid tumors, such as colorectal cancer (CRC), in clinically relevant biological fluids. The cell line and/or tumor tissue secretome represents a valuable resource for discovering novel protein markers secreted by cancer cells. The advantage of a secretome analysis is the reduction of the large dynamic range characterizing human plasma/serum, and the simultaneous enrichment of low abundance cancer-secreted proteins, thereby overcoming the technical limitations underlying the direct search in blood samples. In this review, we provided a comprehensive overview of recent studies on the CRC secretome for biomarker discovery, focusing both on methodological and technical aspects of secretome proteomic approaches and on biomarker-independent validation in CRC patient samples (blood and tissues). Secretome proteomics are mainly based on LC-MS/MS analyses for which secretome samples are either in-gel or in-solution trypsin-digested. Adequate numbers of biological and technical replicates are required to ensure high reproducibility and robustness of the secretome studies. Moreover, another major challenge is the accuracy of proteomic quantitative analysis performed by label-free or labeling methods. The analysis of differentially expressed proteins in the CRC secretome by using bioinformatic tools allowed the identification of potential biomarkers for early CRC detection. In this scenario, this review may help to follow-up the recent secretome studies in order to select promising circulating biomarkers to be validated in larger screenings, thereby contributing toward a complete translation in clinical practice.

Indexed as

Colorectal NeoplasmsProteomicsBiomarkers, TumorChromatography, LiquidHumansProteomeReproducibility of ResultsTandem Mass SpectrometryBiomarkers, TumorProteomebiomarkercancer cell linescolorectal cancermass spectrometryproteomicssecretome

Identifiers

PMID32878319
PMCPMC7559921

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.