Evidence map›Paper›PMID 36834851›Full record

ReviewInternational journal of molecular sciences2023

Tumor Mutational Burden for Predicting Prognosis and Therapy Outcome of Hepatocellular Carcinoma.

Daniela Gabbia, Sara De Martin

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
10.2field-weighted citation impact, top 1% 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.

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

45 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Novel Therapeutics for Hepatocellular Carcinoma.Clinics in liver disease · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Daniela GabbiaDepartment of Pharmaceutical and Pharmacological Sciences, University of Padova, 35122 Padova, Italy.ORCID 0000-0003-2247-8227
Sara De MartinDepartment of Pharmaceutical and Pharmacological Sciences, University of Padova, 35122 Padova, Italy.ORCID 0000-0001-6398-8237
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC), the primary hepatic malignancy, represents the second-highest cause of cancer-related death worldwide. Many efforts have been devoted to finding novel biomarkers for predicting both patients' survival and the outcome of pharmacological treatments, with a particular focus on immunotherapy. In this regard, recent studies have focused on unravelling the role of tumor mutational burden (TMB), i.e., the total number of mutations per coding area of a tumor genome, to ascertain whether it can be considered a reliable biomarker to be used either for the stratification of HCC patients in subgroups with different responsiveness to immunotherapy, or for the prediction of disease progression, particularly in relation to the different HCC etiologies. In this review, we summarize the recent advances on the study of TMB and TMB-related biomarkers in the HCC landscape, focusing on their feasibility as guides for therapy decisions and/or predictors of clinical outcome.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkers, TumorHumansImmunotherapyMutationBiomarkers, Tumorhepatocellular carcinomaimmune checkpoint inhibitorsimmunotherapyliquid biopsymicrosatellite instabilityneoantigenstumor immune microenvironmenttumor mutational burden

Identifiers

PMID36834851
PMCPMC9960420
OpenAlexW4319763359

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.