Evidence map›Paper›PMID 39342202›Full record

ReviewCancer cell international2024

A protracted war against cancer drug resistance.

Yuan Tian, Xiaowei Wang, Cong Wu, Jiaming Qiao, Hai Jin, Huafei Li

Abstract readReview
In one paragraph

Review in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

6 authors.

Yuan Tian *School of Lifesciences, Shanghai University, 333 Nanchen Road, Shanghai, 200444, P.R. China.
Xiaowei Wang *Department of Thoracic Surgery/Clinical Research Center, The First Affiliated Hospital of Navy Medical University, 168 Changhai Road, Shanghai, 200433, P.R. China.
Cong WuDepartment of Thoracic Surgery/Clinical Research Center, The First Affiliated Hospital of Navy Medical University, 168 Changhai Road, Shanghai, 200433, P.R. China.
Jiaming QiaoSchool of Lifesciences, Shanghai University, 333 Nanchen Road, Shanghai, 200444, P.R. China.
Hai JinDepartment of Thoracic Surgery/Clinical Research Center, The First Affiliated Hospital of Navy Medical University, 168 Changhai Road, Shanghai, 200433, P.R. China. projinhai@126.com.
Huafei LiSchool of Lifesciences, Shanghai University, 333 Nanchen Road, Shanghai, 200444, P.R. China. huafey_lee@163.com.

Funding

National Key Research and Development Program of China 2023YFC2510000Natural Science Foundation of Shanghai Municipality 21ZR1422800
6 · The paper itself

Abstract

Currently, even the most effective anti-cancer therapies are often limited by the development of drug resistance and tumor relapse, which is a major challenge facing current cancer research. A deep understanding of the molecular and biochemical bases of drug efficacy that can help predict the clinical drug resistance, coupled with the evolution of systematic genomic and proteomic technologies, have facilitated studies identifying and elucidating the underlying mechanisms. In this review, we focus on several important issues on cancer drug resistance and provide a framework for understanding the common ways by which cancers develop resistance to therapeutic agents. With the increasing arsenal of novel anticancer agents and techniques, there are now unprecedented opportunities to understand and overcome drug resistance. The proteolysis targeting chimera (PROTAC) technology, immunotherapy, nanomedicine, and real-time monitoring of drug response all provide effective approaches for combating drug resistance. In addition to the advancement of therapeutic technologies, the revolution of treatment concept is also of great importance. We can take advantage of the interplay between drug sensitive and resistant subclones for combating cancer. However, there remains a long way to go in the protracted war against cancer drug resistance.

Indexed as

Cancer drug resistanceCancer evolutionCancer stem cellsIndividualized medicineYin-Yang balance

Identifiers

PMID39342202
PMCPMC11439304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.