Evidence map›Paper›PMID 31467349›Full record

ArticleScientific reports2019

Dissecting phenotypic responses of the druggable targetome in cancers.

Euna Jeong, Choa Park, Sung Ung Moon, Juyeon Cho, Mee Song, Seungeun Ryoo, Hyejeong Gu, Yejin Lee, Wooyoung Kim, Sukjoon Yoon

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Euna JeongResearch Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Choa ParkDepartment of Biological Sciences, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Sung Ung MoonResearch Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Juyeon ChoResearch Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Mee SongResearch Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Seungeun RyooDepartment of Biological Sciences, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Hyejeong GuDepartment of Biological Sciences, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Yejin LeeDepartment of Biological Sciences, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Wooyoung KimCollege of Pharmacy, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Sukjoon YoonResearch Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea. yoonsj@sookmyung.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although a large amount of screening data comprising target genes and/or drugs tested against cancer cell line panels are available, different assay conditions and readouts limit the integrated analysis and batch-to-batch comparison of these data. Here, we systematically produced and analyzed the anticancer effect of the druggable targetome to understand the varied phenotypic outcomes of diverse functional classes of target genes. A library of siRNAs targeting ~4,800 druggable genes was screened against cancer cell lines under 2D and/or 3D assay conditions. The anticancer effect was simultaneously measured by quantifying cell proliferation and/or viability. Hit rates varied significantly depending on assay conditions and/or phenotypic readouts. Functional classes of hit genes were correlated with the microenvironment difference between the 2D monolayer cell proliferation and 3D sphere formation assays. Furthermore, multiplexing of cell proliferation and viability measures enabled us to compare the sensitivity and resistance responses to the gene knockdown. Many target genes that inhibited cell proliferation increased the single-cell-level viability of surviving cells, leading to an increase in self-renewal potential. In this study, combinations of parallel 2D/3D assays and multiplexing of cell proliferation and viability measures provided functional insights into the varied phenotypic outcomes of the cancer targetome.

Indexed as

Antineoplastic AgentsCell Line, TumorCell ProliferationCell SurvivalDrug Screening Assays, AntitumorHigh-Throughput Screening AssaysHumansNeoplasmsRNA InterferenceRNA, Small InterferingAntineoplastic AgentsRNA, Small Interfering

Identifiers

PMID31467349
PMCPMC6715751

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.