Evidence map›Paper›PMID 39682130›Full record

ReviewCancers2024

Resistance to Tyrosine Kinase Inhibitors in Hepatocellular Carcinoma (HCC): Clinical Implications and Potential Strategies to Overcome the Resistance.

Ali Gawi Ermi, Devanand Sarkar

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Mutant-Selective Binding ofInternational journal of molecular sciences · 2026
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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.

Ali Gawi ErmiDepartment of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA 23298, USA.
Devanand SarkarDepartment of Human and Molecular Genetics, Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA.ORCID 0000-0003-0973-2323

Funding

Mouse Model and Pathological Analysis CoreP01CA275740 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Devanand Sarkar · 2024 to 2026
$10.6M
Novel Targeted Combinatorial Therapy for Hepatocellular CarcinomaR01CA244993 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FISHER, PAUL B, SARKAR, DEVANAND · 2020 to 2024
$2.7M
Targeting oncogenes for hepatocellular carcinomaR01CA230561 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI SARKAR, DEVANAND · 2019 to 2023
$2.0M
NCI NIH HHS P01 CA275740NCI NIH HHS R01 CA230561NCI NIH HHS R01 CA244993NIH HHS 1P01CA275740-01A1NIH HHS 5R01CA230561-05A1NIH HHS 5R01CA244993-05A1
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, and the development of effective treatment strategies remains a significant challenge in the management of advanced HCC patients. The emergence of tyrosine kinase inhibitors (TKIs) has been a significant advancement in the treatment of HCC, as these targeted therapies have shown promise in prolonging the survival of patients with advanced disease. Although immunotherapy is currently considered as the first line of treatment for advanced HCC patients, many such patients do not meet the clinical criteria to be eligible for immunotherapy, and in many parts of the world there is still lack of accessibility to immunotherapy. As such, TKIs still serve as the first line of treatment and play a major role in the treatment repertoire for advanced HCC patients. However, the development of resistance to these agents is a major obstacle that must be overcome. In this review, we explore the underlying mechanisms of resistance to TKIs in HCC, the clinical implications of this resistance, and the potential strategies to overcome or prevent the emergence of resistance.

Indexed as

hepatocellular carcinomasorafenibtreatment resistancetyrosine kinase

Identifiers

PMID39682130
PMCPMC11640171

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.