Evidence map›Paper›PMID 33114107›Full record

ArticleCancers2020

Analysis of Cross-Association between mRNA Expression and RNAi Efficacy for Predictive Target Discovery in Colon Cancers.

Euna Jeong, Yejin Lee, Youngju Kim, Jieun Lee, Sukjoon Yoon

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  8. A Novel Role of Arrhythmia-Related GeneInternational journal of molecular sciences · 2022
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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

5 authors at 1 institution in 1 country.

Euna JeongResearch Institute of Women's Health, Sookmyung Women's University, Seoul 04310, Korea.
Yejin LeeDepartment of Biological Sciences, Sookmyung Women's University, Seoul 04310, Korea.
Youngju KimDepartment of Biological Sciences, Sookmyung Women's University, Seoul 04310, Korea.
Jieun LeeDepartment of Biological Sciences, Sookmyung Women's University, Seoul 04310, Korea.
Sukjoon YoonResearch Institute of Women's Health, Sookmyung Women's University, Seoul 04310, Korea.
Sookmyung Women's University · KR

Funding

National Research Foundation of Korea NRF-2018R1A2B6009313, NRF-2017R1A2B2007745 and NRF-2016R1A5A1011974
6 · The paper itself

Abstract

The availability of large-scale, collateral mRNA expression and RNAi data from diverse cancer cell types provides useful resources for the discovery of anticancer targets for which inhibitory efficacy can be predicted from gene expression. Here, we calculated bidirectional cross-association scores (predictivity and descriptivity) for each of approximately 18,000 genes identified from mRNA and RNAi (i.e., shRNA and sgRNA) data from colon cancer cell lines. The predictivity score measures the difference in RNAi efficacy between cell lines with high vs. low expression of the target gene, while the descriptivity score measures the differential mRNA expression between groups of cell lines exhibiting high vs. low RNAi efficacy. The mRNA expression of 90 and 74 genes showed significant (

Indexed as

anticancer targetsbiomarkersCRISPRgene expressionprecision medicineshRNA screening

Identifiers

PMID33114107
PMCPMC7690798
OpenAlexW3094499917

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.