Evidence map›Paper›PMID 38063850›Full record

ArticleMolecular cancer research : MCR2024

Single-Cell Transcriptomics Reveals Pre-existing COVID-19 Vulnerability Factors in Lung Cancer Patients.

Wendao Liu, Wenbo Li, Zhongming Zhao

Open access · greenAbstract read
In one paragraph

Article in Molecular cancer research : MCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

3 authors at 1 institution in 1 country.

Wendao LiuThe University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas.ORCID 0000-0002-5124-9338
Wenbo LiThe University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas.ORCID 0000-0002-9042-5664
Zhongming ZhaoThe University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas.ORCID 0000-0002-3477-0914
The University of Texas MD Anderson Cancer Center · US

Funding

AIM-AI: an Actionable, Integrated and Multiscale genetic map of Alzheimer's disease via deep learningU01AG079847 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Christopher A. Gaiteri, Xiaoqian Jiang · 2023 to 2026
$5.1M
Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Enhancer RNAs in brain gene regulation and Alzheimer's diseaseR01AG082132 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Wenbo Li · 2023 to 2026
$3.0M
Personalized, antigen-directed immunotherapy delivered to lymph nodesR01CA276513 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Eva M. Sevick, Zhongming Zhao · 2023 to 2026
$2.3M
Mechanisms Underlying Enhancer Rnp Mediated Gene Regulation And Genome OrganizationR01GM136922 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LI, WENBO · 2020 to 2024
$2.0M
NCI NIH HHS R01 CA276513NIA NIH HHS R01 AG082132NIA NIH HHS U01 AG079847NIGMS NIH HHS R01 GM136922NLM NIH HHS R01 LM012806
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) and cancer are major health threats, and individuals may develop both simultaneously. Recent studies have indicated that patients with cancer are particularly vulnerable to COVID-19, but the molecular mechanisms underlying the associations remain poorly understood. To address this knowledge gap, we collected single-cell RNA-sequencing data from COVID-19, lung adenocarcinoma, small cell lung carcinoma patients, and normal lungs to perform an integrated analysis. We characterized altered cell populations, gene expression, and dysregulated intercellular communication in diseases. Our analysis identified pathologic conditions shared by COVID-19 and lung cancer, including upregulated TMPRSS2 expression in epithelial cells, stronger inflammatory responses mediated by macrophages, increased T-cell response suppression, and elevated fibrosis risk by pathologic fibroblasts. These pre-existing conditions in patients with lung cancer may lead to more severe inflammation, fibrosis, and weakened adaptive immune response upon COVID-19 infection. Our findings revealed potential molecular mechanisms driving an increased COVID-19 risk in patients with lung cancer and suggested preventive and therapeutic targets for COVID-19 in this population. IMPLICATIONS: Our work reveals the potential molecular mechanisms contributing to the vulnerability to COVID-19 in patients with lung cancer.

Indexed as

COVID-19Lung NeoplasmsFibrosisGene Expression ProfilingHumansRisk Factors

Identifiers

PMID38063850
PMCPMC10922768
OpenAlexW4389477711

What OpenQuestion holds

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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.