Evidence map›Paper›PMID 34270851›Full record

ReviewThe FEBS journal2022

Autophagy and tumorigenesis.

Michael Rangel, Jerry Kong, Vrushank Bhatt, Khoosheh Khayati, Jessie Yanxiang Guo

Open access · bronzeAbstract readReview
In one paragraph

Review in The FEBS journal, 2022. 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
6.9field-weighted citation impact, top 2% 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, 67 citations in OpenAlex.

  1. Circadian rhythms in health and disease.Molecular biomedicine · 2026
    Review
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  6. Inhibition of RAB7 promotes CD8American journal of cancer research · 2026
    Article
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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

5 authors at 1 institution in 1 country.

Michael RangelRutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.ORCID 0000-0002-3033-5392
Jerry KongRutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Vrushank BhattRutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Khoosheh KhayatiRutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Jessie Yanxiang GuoRutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.ORCID 0000-0001-9212-7954
Rutgers, The State University of New Jersey · US

Funding

Elucidate the mechanism of autophagy in supporting Lkb1-deficient lung tumorigenesis and metastasisR01CA237347 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI GUO, YANXIANG · 2020 to 2025
$1.8M
NCI NIH HHS R01 CA237347
6 · The paper itself

Abstract

Autophagy is a catabolic process that captures cellular waste and degrades them in the lysosome. The main functions of autophagy are quality control of cytosolic proteins and organelles, and intracellular recycling of nutrients in order to maintain cellular homeostasis. Autophagy is upregulated in many cancers to promote cell survival, proliferation, and metastasis. Both cell-autonomous autophagy (also known as tumor autophagy) and non-cell-autonomous autophagy (also known as host autophagy) support tumorigenesis through different mechanisms, including inhibition of p53 activation, sustaining redox homeostasis, maintenance of essential amino acids levels in order to support energy production and biosynthesis, and inhibition of antitumor immune responses. Therefore, autophagy may serve as a tumor-specific vulnerability and targeting autophagy could be a novel strategy in cancer treatment.

Indexed as

AutophagyNeoplasmsCarcinogenesisCell Transformation, NeoplasticHumansLysosomesautophagycancercancer metabolismcancer treatmentimmune responsemetastasisp53

Identifiers

PMID34270851
PMCPMC8761221
OpenAlexW3177927685

What OpenQuestion holds

Textmetadata
LicenceTDM
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.