Evidence map›Paper›PMID 24113172›Full record

ReviewCell death & disease2013

Autophagy and chemotherapy resistance: a promising therapeutic target for cancer treatment.

X Sui, R Chen, Z Wang, Z Huang, N Kong, M Zhang, W Han, F Lou, J Yang, Q Zhang and 3 more

Abstract readReview
In one paragraph

Review in Cell death & disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 689 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
689citing papers in PubMed, 2 pooled it
–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

689 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  6. Anoikis in cancer: molecular mechanisms, resistance, and therapeutic strategies.Apoptosis : an international journal on programmed cell death · 2026
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629 more citing papers are in PubMed but not listed here.

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

13 authors.

X SuiDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
R Chen
Z Wang
Z Huang
N Kong
M Zhang
W Han
F Lou
J Yang
Q Zhang
X Wang
C He
H Pan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Induction of cell death and inhibition of cell survival are the main principles of cancer therapy. Resistance to chemotherapeutic agents is a major problem in oncology, which limits the effectiveness of anticancer drugs. A variety of factors contribute to drug resistance, including host factors, specific genetic or epigenetic alterations in the cancer cells and so on. Although various mechanisms by which cancer cells become resistant to anticancer drugs in the microenvironment have been well elucidated, how to circumvent this resistance to improve anticancer efficacy remains to be defined. Autophagy, an important homeostatic cellular recycling mechanism, is now emerging as a crucial player in response to metabolic and therapeutic stresses, which attempts to maintain/restore metabolic homeostasis through the catabolic lysis of excessive or unnecessary proteins and injured or aged organelles. Recently, several studies have shown that autophagy constitutes a potential target for cancer therapy and the induction of autophagy in response to therapeutics can be viewed as having a prodeath or a prosurvival role, which contributes to the anticancer efficacy of these drugs as well as drug resistance. Thus, understanding the novel function of autophagy may allow us to develop a promising therapeutic strategy to enhance the effects of chemotherapy and improve clinical outcomes in the treatment of cancer patients.

Indexed as

Antineoplastic AgentsAutophagyCell SurvivalDrug Resistance, NeoplasmHumansNeoplasmsStress, PhysiologicalAntineoplastic Agents

Identifiers

PMID24113172
PMCPMC3824660

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.