Evidence map›Paper›PMID 39649035›Full record

ReviewJournal of clinical and translational hepatology2024

Exploring Circulating Tumor Cells: Detection Methods and Biomarkers for Clinical Evaluation in Hepatocellular Carcinoma.

Chin-Mu Hsu, Yi-Chang Liu, Jee-Fu Huang

Abstract readReview
In one paragraph

Review in Journal of clinical and translational hepatology, 2024. 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. Review
  2. Review
  3. Article
  4. Review
  5. Novel Therapeutics for Hepatocellular Carcinoma.Clinics in liver disease · 2025
    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

3 authors.

Chin-Mu HsuDepartment of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung.
Yi-Chang LiuDepartment of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung.ORCID https://orcid.org/0000-0002-0681-379
Jee-Fu HuangDepartment of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung.ORCID https://orcid.org/0000-0002-2752-7051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs), originating from primary neoplastic tissues, infiltrate blood vessels, migrate through the bloodstream, and establish secondary tumor foci. The detection of CTCs holds significant promise for early-stage identification, diagnostic precision, therapeutic monitoring, and prognostic evaluation. It offers a non-invasive approach and has broad clinical relevance in cancer management. This comprehensive review primarily focused on CTCs as biomarkers in the diagnostic, therapeutic, and prognostic surveillance of hepatocellular carcinoma, compared their correlation with key clinical parameters and the identification of gene characteristics. It also highlighted current methodologies in CTC detection. Despite approval by the U.S. Food and Drug Administration for select malignancies, the comprehensive integration of CTCs into routine clinical practice requires procedural standardization and a deeper understanding of the underlying molecular intricacies. The challenges in CTC detection, including limited quantity, technical impediments, and cellular heterogeneity, call for concerted and further investigational efforts to advance precision in cancer diagnostics and prognostication, thus realizing the objectives of precise and personalized medicine.

Indexed as

AFPalpha-fetoproteinBiomarkerCirculating tumor cellsClinical applicationCTCCTC enrichmentHCCHepatocellular carcinomaMicrovascular invasionMVIProgression

Identifiers

PMID39649035
PMCPMC11622199

What OpenQuestion holds

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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.