Evidence map›Paper›PMID 40687983›Full record

ArticleCancer reports and reviews2025

The role of proteomics and radioproteomics in biomarkers of liver HCC for diagnosis, therapy and enhance interventional radiological treatments.

Margaret Simonian

Abstract read
In one paragraph

Article in Cancer reports and reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Margaret SimonianDavid Geffen School of Medicine, Department of Radiological Sciences, University of California Los Angeles, California, United States.

Funding

New Technologies for Real-Time MRI-Guided Robotic-Assisted Abdominal InterventionsR01EB031934 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LU, DAVID S, TSAO, TSU-CHIN TC · 2022 to 2025
$2.5M
NIBIB NIH HHS R01 EB031934
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common liver cancer and is highly malignant. Current diagnostic tests are blood, imaging and biopsy, with no useful predictive biomarker. Additionally, targeted therapies are unavailable, which hinders the potential for personalized therapy in HCC patients. Here, we discuss the limited studies conducted thus far to identify molecular targets for early detection and treatment of HCC, their limitations and future directions in this field. However, the integration of multi-omics analyses, such as genomics, proteomics, and phosphoproteomics, has provided valuable insights into the mechanisms and pathways underlying the disease.

Indexed as

biomarkershepatocellular carcinomaliver cancerproteomics

Identifiers

PMID40687983
PMCPMC12268992

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.