Evidence map›Paper›PMID 40437577›Full record

ReviewCancer cell international2025

Hepatocellular carcinoma drug resistance models.

Xiaolu Xie, Yaomin Wang, Ziyi Wang, Lei Zhang, Jun Li, Yaling Li

Abstract readReview
In one paragraph

Review in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Xiaolu XieDepartment of Pharmacy, Yibin Hospital Affiliated to Children's Hospital of Chongqing Medical University, No. 108, Shangmao road, Xuzhou district, Yibin, Sichuan, China.
Yaomin WangDepartment of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Ziyi WangDepartment of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Lei ZhangDepartment of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Jun LiDepartment of Traditional Chinese Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China. ljadoctor@swmu.edu.cn.
Yaling LiDepartment of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China. lylapothecary@swmu.edu.cn.

Funding

National Natural Science Foundation of China 81803019Sichuan Science and Technology Program 2022YFS0625strategic cooperation project of scientific and technological between Luzhou People's government and Southwest Medical University 2023LZXNYDJ010
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide. Although drug therapy has been well developed and applied, its clinical efficacy is limited due to primary or acquired drug resistance in most HCC patients. Therefore, it is of great clinical significance to elucidate the key molecular mechanisms of resistance and improve the sensitivity of HCC cells to drugs. At present, a variety of HCC drug resistance models have been developed to find out resistance mechanisms, screen biomarkers, and explore strategies to reverse drug resistance, including traditional HCC drug resistance models, HCC patient-derived drug resistance models, three-dimensional drug resistance models, transgenic drug resistance models, and multi-drug resistance models. Here, we searched PubMed, Embase and Web of science for studies related to HCC drug resistance models in recent years, systematically summarized the established methods and characteristics of these models, reviewed their applications and compared their advantages and disadvantages, aiming to provide reference for the selection of appropriate models for HCC drug resistance research.

Indexed as

Cell lineDrug resistanceHCCPatient-derived xenograftTransgenic model

Identifiers

PMID40437577
PMCPMC12121111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.