Evidence map›Paper›PMID 37863651›Full record

ArticleLife science alliance2024

Pathway-driven analysis of synthetic lethal interactions in cancer using perturbation screens.

Mina Karimpour, Mehdi Totonchi, Mehrdad Behmanesh, Hesam Montazeri

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Life science alliance, 2024. 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
1.2field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  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

4 authors at 3 institutions in 1 country.

Mina KarimpourDepartment of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0002-4169-0736
Mehdi TotonchiDepartment of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran.
Mehrdad BehmaneshDepartment of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran Behmanesh@modares.ac.ir.ORCID https://orcid.org/0000-0002-3901-304X
Hesam MontazeriDepartment of Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran hesam.montazeri@ut.ac.ir.ORCID https://orcid.org/0000-0002-7269-692X
Tarbiat Modares University · IRRoyan Institute · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic lethality offers a promising approach for developing effective therapeutic interventions in cancer when direct targeting of driver genes is impractical. In this study, we comprehensively analyzed large-scale CRISPR, shRNA, and PRISM screens to identify potential synthetic lethal (SL) interactions in pan-cancer and 12 individual cancer types, using a new computational framework that leverages the biological function and signaling pathway information of key driver genes to mitigate the confounding effects of background genetic alterations in different cancer cell lines. This approach has successfully identified several putative SL interactions, including

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAdaptor Proteins, Signal TransducingHumansMutationProto-Oncogene Proteins p21(ras)RNA, Small InterferingAdaptor Proteins, Signal TransducingFRS3 protein, humanProto-Oncogene Proteins p21(ras)RNA, Small Interfering

Identifiers

PMID37863651
PMCPMC10589366
OpenAlexW4387805888

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.