Evidence map›Paper›PMID 33511116›Full record

ReviewFrontiers in cell and developmental biology2020

Metabolism of Amino Acids in Cancer.

Zhen Wei, Xiaoyi Liu, Chunming Cheng, Wei Yu, Ping Yi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
239citing papers in PubMed, 1 pooled it
25.2field-weighted citation impact, top 1% 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

239 citing papers in PubMed, 1 synthesis or guideline pooled it, 409 citations in OpenAlex.

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179 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

5 authors at 4 institutions in 2 countries.

Zhen WeiHubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China.
Xiaoyi LiuDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chunming ChengDepartment of Radiation Oncology, James Comprehensive Cancer Center and College of Medicine at The Ohio State University, Columbus, OH, United States.
Wei YuState Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Ping YiDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNThe Ohio State University · USWuhan University of Science and Technology · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic reprogramming has been widely recognized as a hallmark of malignancy. The uptake and metabolism of amino acids are aberrantly upregulated in many cancers that display addiction to particular amino acids. Amino acids facilitate the survival and proliferation of cancer cells under genotoxic, oxidative, and nutritional stress. Thus, targeting amino acid metabolism is becoming a potential therapeutic strategy for cancer patients. In this review, we will systematically summarize the recent progress of amino acid metabolism in malignancy and discuss their interconnection with mammalian target of rapamycin complex 1 (mTORC1) signaling, epigenetic modification, tumor growth and immunity, and ferroptosis. Finally, we will highlight the potential therapeutic applications.

Indexed as

amino acids (AAs)cancerepigeneticferroptosismetabolismmTORC (mammalian target of rapamycin kinase complex)tumor growthtumor immunity

Identifiers

PMID33511116
PMCPMC7835483
OpenAlexW3118575215

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.