Evidence map›Paper›PMID 34722540›Full record

ArticleFrontiers in cell and developmental biology2021

The miRNA Profile of Inflammatory Colorectal Tumors Identify TGF-β as a Companion Target for Checkpoint Blockade Immunotherapy.

Bjarne Bartlett, Zitong Gao, Monique Schukking, Mark Menor, Vedbar S Khadka, Muller Fabbri, Peiwen Fei, Youping Deng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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  5. Review
  6. A data science practicum to introduce undergraduate students to bioinformatics for research.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology
    Article
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

8 authors at 3 institutions in 1 country.

Bjarne BartlettBioinformatics Core, Department of Quantitative Health Sciences, University of Hawaii, Honolulu, HI, United States.
Zitong GaoBioinformatics Core, Department of Quantitative Health Sciences, University of Hawaii, Honolulu, HI, United States.
Monique SchukkingDepartment of Molecular Biosciences and Bioengineering, University of Hawai'i at Mānoa, Honolulu, HI, United States.
Mark MenorBioinformatics Core, Department of Quantitative Health Sciences, University of Hawaii, Honolulu, HI, United States.
Vedbar S KhadkaBioinformatics Core, Department of Quantitative Health Sciences, University of Hawaii, Honolulu, HI, United States.
Muller FabbriCancer Biology Program, University of Hawai'i Cancer Center, Honolulu, HI, United States.
Peiwen FeiCancer Biology Program, University of Hawai'i Cancer Center, Honolulu, HI, United States.
Youping DengBioinformatics Core, Department of Quantitative Health Sciences, University of Hawaii, Honolulu, HI, United States.
University of Hawaii System · USPacific Biosciences (United States) · USUniversity of Hawaiʻi at Mānoa · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Molecular Insights into the Fanconi Anemia Tumor Suppressor Signaling PathwayR01CA188251 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI FEI, PEIWEN · 2014 to 2018
$1.6M
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA188251
6 · The paper itself

Abstract

Extrinsic factors such as expression of PD-L1 (programmed dealth-ligand 1) in the tumor microenvironment (TME) have been shown to correlate with responses to checkpoint blockade therapy. More recently two intrinsic factors related to tumor genetics, microsatellite instability (MSI), and tumor mutation burden (TMB), have been linked to high response rates to checkpoint blockade drugs. These response rates led to the first tissue-agnostic approval of any cancer therapy by the FDA for the treatment of metastatic, MSI-H tumors with anti-PD-1 immunotherapy. But there are still very few studies focusing on the association of miRNAs with immune therapy through checkpoint inhibitors. Our team sought to explore the biology of such tumors further and suggest potential companion therapeutics to current checkpoint inhibitors. Analysis by Pearson Correlation revealed 41 total miRNAs correlated with mutation burden, 62 miRNAs correlated with MSI, and 17 miRNAs correlated with PD-L1 expression. Three miRNAs were correlated with all three of these tumor features as well as M1 macrophage polarization. No miRNAs in any group were associated with overall survival. TGF-β was predicted to be influenced by these three miRNAs (

Indexed as

checkpoint blockadeimmunotherapyMSImutation burdenPD-L1

Identifiers

PMID34722540
PMCPMC8551827
OpenAlexW3206772092

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.