Evidence map›Paper›PMID 34675191›Full record

ArticleCell death & disease2021

Everolimus and plicamycin specifically target chemoresistant colorectal cancer cells of the CMS4 subtype.

Jiayin Deng, Ai-Ling Tian, Hui Pan, Allan Sauvat, Marion Leduc, Peng Liu, Liwei Zhao, Shuai Zhang, Hui Chen, Valérie Taly and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

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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

15 authors at 3 institutions in 4 countries.

Jiayin Deng *MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-6767-4179
Ai-Ling Tian *Université Paris Sud, Paris Saclay, Faculty of Medicine, Kremlin Bicêtre, France.
Hui PanUniversité Paris Sud, Paris Saclay, Faculty of Medicine, Kremlin Bicêtre, France.
Allan SauvatMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France.
Marion LeducMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France.
Peng LiuMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France.ORCID http://orcid.org/0000-0002-1682-9222
Liwei ZhaoMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France.
Shuai ZhangMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France.
Hui ChenUniversité Paris Sud, Paris Saclay, Faculty of Medicine, Kremlin Bicêtre, France.
Valérie TalyCentre de Recherche des Cordeliers, Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, Inserm U1138 and CNRS SNC 5096, Institut Universitaire de France, Paris, France.
Pierre Laurent-PuigCentre de Recherche des Cordeliers, Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, Inserm U1138 and CNRS SNC 5096, Institut Universitaire de France, Paris, France.ORCID http://orcid.org/0000-0001-8475-5459
Laura SenovillaMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France.ORCID http://orcid.org/0000-0001-6887-2436
Yingqiu LiMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China. lsslyq@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-3206-5231
Guido KroemerMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France. kroemer@orange.fr.ORCID http://orcid.org/0000-0002-9334-4405
Oliver KeppMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France. captain.olsen@gmail.com.ORCID http://orcid.org/0000-0002-6081-9558
Centre National de la Recherche Scientifique · FRUniversité Paris-Sud · FRSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancers (CRC) can be classified into four consensus molecular subtypes (CMS), among which CMS1 has the best prognosis, contrasting with CMS4 that has the worst outcome. CMS4 CRC is notoriously resistant against therapeutic interventions, as demonstrated by preclinical studies and retrospective clinical observations. Here, we report the finding that two clinically employed agents, everolimus (EVE) and plicamycin (PLI), efficiently target the prototypic CMS4 cell line MDST8. As compared to the prototypic CMS1 cell line LoVo, MDST8 cells treated with EVE or PLI demonstrated stronger cytostatic and cytotoxic effects, increased signs of apoptosis and autophagy, as well as a more pronounced inhibition of DNA-to-RNA transcription and RNA-to-protein translation. Moreover, nontoxic doses of EVE and PLI induced the shrinkage of MDST8 tumors in mice, yet had only minor tumor growth-reducing effects on LoVo tumors. Altogether, these results suggest that EVE and PLI should be evaluated for their clinical activity against CMS4 CRC.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsAntineoplastic Combined Chemotherapy ProtocolsCell ProliferationColorectal NeoplasmsCytoskeletal ProteinsEverolimusHumansMicePlicamycinAdaptor Proteins, Signal TransducingCD2-associated proteinCytoskeletal ProteinsEverolimusPlicamycin

Identifiers

PMID34675191
PMCPMC8531384
OpenAlexW3206514149

What OpenQuestion holds

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LicenceCC BY
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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.