Evidence map›Paper›PMID 37833290›Full record

ArticleCell death & disease2023

Identification of ATF3 as a novel protective signature of quiescent colorectal tumor cells.

Xi Lu, Lei Zhong, Emma Lindell, Margus Veanes, Jing Guo, Miao Zhao, Maede Salehi, Fredrik J Swartling, Xingqi Chen, Tobias Sjöblom and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 3 countries.

Xi Lu *Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Lei Zhong *Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Emma LindellDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Margus VeanesDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Jing GuoCentre for Computational Biology, Duke-NUS Medical School, 8 College Road, 169857, Singapore, Singapore.
Miao ZhaoDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Maede SalehiDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Fredrik J SwartlingDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-8460-4367
Xingqi ChenDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-5657-2839
Tobias SjöblomDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Xiaonan ZhangDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden. Xiaonan.zhang@igp.uu.se.ORCID 0000-0003-4359-9079
Uppsala University · SEDuke-NUS Medical School · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common cancer and the second leading cause of death in the world. In most cases, drug resistance and tumor recurrence are ultimately inevitable. One obstacle is the presence of chemotherapy-insensitive quiescent cancer cells (QCCs). Identification of unique features of QCCs may facilitate the development of new targeted therapeutic strategies to eliminate tumor cells and thereby delay tumor recurrence. Here, using single-cell RNA sequencing, we classified proliferating and quiescent cancer cell populations in the human colorectal cancer spheroid model and identified ATF3 as a novel signature of QCCs that could support cells living in a metabolically restricted microenvironment. RNA velocity further showed a shift from the QCC group to the PCC group indicating the regenerative capacity of the QCCs. Our further results of epigenetic analysis, STING analysis, and evaluation of TCGA COAD datasets build a conclusion that ATF3 can interact with DDIT4 and TRIB3 at the transcriptional level. In addition, decreasing the expression level of ATF3 could enhance the efficacy of 5-FU on CRC MCTS models. In conclusion, ATF3 was identified as a novel marker of QCCs, and combining conventional drugs targeting PCCs with an option to target QCCs by reducing ATF3 expression levels may be a promising strategy for more efficient removal of tumor cells.

Indexed as

Colorectal NeoplasmsNeoplasm Recurrence, LocalActivating Transcription Factor 3Cell Line, TumorHumansPromoter Regions, GeneticTumor MicroenvironmentActivating Transcription Factor 3ATF3 protein, human

Identifiers

PMID37833290
PMCPMC10576032
OpenAlexW4387609792

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.