Evidence map›Paper›PMID 33883278›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Systems level profiling of chemotherapy-induced stress resolution in cancer cells reveals druggable trade-offs.

Paula Saavedra-García, Monica Roman-Trufero, Hibah A Al-Sadah, Kevin Blighe, Elena López-Jiménez, Marilena Christoforou, Lucy Penfold, Daria Capece, Xiaobei Xiong, Yirun Miao and 16 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  5. A Novel Potent and Selective GCN2 Inhibitor, APL-4098, Has Antileukemic Activity through Dysregulation of Mitochondrial Function.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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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

26 authors.

Paula Saavedra-GarcíaCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.ORCID 0000-0002-9907-475X
Monica Roman-TruferoCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.
Hibah A Al-SadahCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.
Kevin BligheClinical Bioinformatics Research, London W1B 3HH, United Kingdom.
Elena López-JiménezCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.ORCID 0000-0002-5179-5195
Marilena ChristoforouCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.
Lucy PenfoldCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.
Daria CapeceCentre for Molecular Immunology and Inflammation, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.ORCID 0000-0003-3126-2014
Xiaobei XiongCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.
Yirun MiaoCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.
Katarzyna ParzychCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.
Valentina S CaputoThe Hugh and Josseline Langmuir Centre for Myeloma Research, Imperial College London, London W12 0NN, United Kingdom.
Alexandros P SiskosDepartment of Surgery and Cancer, Imperial College London, London W12 0NN, United Kingdom.
Vesela EnchevaProteomics Platform, The Francis Crick Institute, London NW1 1AT, United Kingdom.
Zijing LiuDepartment of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom.
Denise ThielDepartment of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom.
Martin F KaiserMyeloma Molecular Therapy, The Institute of Cancer Research, Sutton SW7 3RP, United Kingdom.
Paolo PiazzaImperial BRC Genomics Facility, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom.
Aristeidis ChaidosThe Hugh and Josseline Langmuir Centre for Myeloma Research, Imperial College London, London W12 0NN, United Kingdom.
Anastasios KaradimitrisThe Hugh and Josseline Langmuir Centre for Myeloma Research, Imperial College London, London W12 0NN, United Kingdom.ORCID 0000-0002-9566-9780
Guido FranzosoCentre for Molecular Immunology and Inflammation, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom.
Ambrosius P SnijdersProteomics Platform, The Francis Crick Institute, London NW1 1AT, United Kingdom.
Hector C KeunDepartment of Surgery and Cancer, Imperial College London, London W12 0NN, United Kingdom.
Diego A OyarzúnSchool of Informatics, The University of Edinburgh, Edinburgh EH8 9AB, United Kingdom.ORCID 0000-0002-0381-5278
Mauricio BarahonaDepartment of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0002-1089-5675
Holger W AunerCancer Cell Protein Metabolism, Department of Immunology and Inflammation, Imperial College London, London W12 0NN, United Kingdom; holger.auner04@imperial.ac.uk.ORCID 0000-0003-4040-0642

Funding

Cancer Research UK 15115Cancer Research UK 27988Cancer Research UK 29035Cancer Research UK C17375/A19482Cancer Research UK C41494/A27988Cancer Research UK C41494/A29035Department of HealthMedical Research Council MR/V027581/1
6 · The paper itself

Abstract

Cancer cells can survive chemotherapy-induced stress, but how they recover from it is not known. Using a temporal multiomics approach, we delineate the global mechanisms of proteotoxic stress resolution in multiple myeloma cells recovering from proteasome inhibition. Our observations define layered and protracted programs for stress resolution that encompass extensive changes across the transcriptome, proteome, and metabolome. Cellular recovery from proteasome inhibition involved protracted and dynamic changes of glucose and lipid metabolism and suppression of mitochondrial function. We demonstrate that recovering cells are more vulnerable to specific insults than acutely stressed cells and identify the general control nonderepressable 2 (GCN2)-driven cellular response to amino acid scarcity as a key recovery-associated vulnerability. Using a transcriptome analysis pipeline, we further show that GCN2 is also a stress-independent bona fide target in transcriptional signature-defined subsets of solid cancers that share molecular characteristics. Thus, identifying cellular trade-offs tied to the resolution of chemotherapy-induced stress in tumor cells may reveal new therapeutic targets and routes for cancer therapy optimization.

Indexed as

Antineoplastic AgentsAutophagyCell Line, TumorHumansMetabolomeMitochondriaMultiple MyelomaNeoplasmsProteasome InhibitorsProteolysisProteomeStress, PhysiologicalSystems AnalysisTranscriptomeAntineoplastic AgentsProteasome InhibitorsProteomeGCN2metabolismmyelomaproteasomeproteostasis

Identifiers

PMID33883278
PMCPMC8092411

What Socratic 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 Socratic graph.