Evidence map›Paper›PMID 32867043›Full record

ReviewCancers2020

Challenges and Opportunities in Clinical Applications of Blood-Based Proteomics in Cancer.

Ruchika Bhawal, Ann L Oberg, Sheng Zhang, Manish Kohli

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07007832 (The Diagnostic Value of Bile-based Omics Analysis for Indeterminate Biliary Strictures), which is not on this map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
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.

NCT07007832 recruitingnot on this mapstarted 2024, after this paper: background citation

The Diagnostic Value of Bile-based Omics Analysis for Indeterminate Biliary Strictures

TypeobservationalSponsorShanghai General Hospital, Shanghai Jiao Tong University School of MedicineRan2024 to 2026Enrolled260ConditionsCholangiocarcinoma, Gallbladder Cancer and Extrahepatic Cholangiocarcinoma, Pancreatic Cancer, Bile Duct Strictures of Unknown OriginArmsEndoscopic retrograde cholangiopancreatography
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Unravelling Immunogenic Cell Death Mechanisms by Functional Proteomics Arrays.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  18. Review
  19. Article
  20. Review
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

4 authors at 3 institutions in 1 country.

Ruchika BhawalProteomics and Metabolomics Facility, Institute of Biotechnology, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0002-5705-5032
Ann L ObergDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-2539-9807
Sheng ZhangProteomics and Metabolomics Facility, Institute of Biotechnology, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0001-8206-1007
Manish KohliDepartment of Medicine, Division of Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0002-9735-6614
Cornell University · USMayo Clinic · USUniversity of Utah · US

Funding

Tissue CoreP50CA102701 · NCI · MAYO CLINIC ROCHESTER · PI MUKHOPADHYAY, DEBABRATA · 2004 to 2018
$32.7M
NCI NIH HHS P50 CA102701NIH HHS P50 CA102701; P50-CA136393; CA180882
6 · The paper itself

Abstract

Blood is a readily accessible biofluid containing a plethora of important proteins, nucleic acids, and metabolites that can be used as clinical diagnostic tools in diseases, including cancer. Like the on-going efforts for cancer biomarker discovery using the liquid biopsy detection of circulating cell-free and cell-based tumor nucleic acids, the circulatory proteome has been underexplored for clinical cancer biomarker applications. A comprehensive proteome analysis of human serum/plasma with high-quality data and compelling interpretation can potentially provide opportunities for understanding disease mechanisms, although several challenges will have to be met. Serum/plasma proteome biomarkers are present in very low abundance, and there is high complexity involved due to the heterogeneity of cancers, for which there is a compelling need to develop sensitive and specific proteomic technologies and analytical platforms. To date, liquid chromatography mass spectrometry (LC-MS)-based quantitative proteomics has been a dominant analytical workflow to discover new potential cancer biomarkers in serum/plasma. This review will summarize the opportunities of serum proteomics for clinical applications; the challenges in the discovery of novel biomarkers in serum/plasma; and current proteomic strategies in cancer research for the application of serum/plasma proteomics for clinical prognostic, predictive, and diagnostic applications, as well as for monitoring minimal residual disease after treatments. We will highlight some of the recent advances in MS-based proteomics technologies with appropriate sample collection, processing uniformity, study design, and data analysis, focusing on how these integrated workflows can identify novel potential cancer biomarkers for clinical applications.

Indexed as

biomarkersmass spectrometryproteomicsserum

Identifiers

PMID32867043
PMCPMC7564506
OpenAlexW3080144556

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.