Evidence map›Paper›PMID 34933203›Full record

ArticleCancer treatment and research communications2022

Druggable genetic targets in endometrial cancer

Steven Lehrer, Peter H Rheinstein

Open access · goldAbstract read
In one paragraph

Article in Cancer treatment and research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Prognostic Role of L1CAM in Endometrial Cancer.Diagnostics (Basel, Switzerland) · 2025
    Review
  2. Review
  3. 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

2 authors at 1 institution in 1 country.

Steven LehrerDepartment of Radiation Oncology Icahn School of Medicine at Mount Sinai New York United States.
Peter H RheinsteinSevern Health Solutions Severna Park, MD United States.
Icahn School of Medicine at Mount Sinai · US

Funding

Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
NIH HHS S10 OD018522NIH HHS S10 OD026880
6 · The paper itself

Abstract

backgroundFBXW7 is frequently somatically mutated in grade 3 endometrioid endometrial cancers (G3EECs) and serous endometrial cancers (SECs), high-risk cancers associated with poor prognosis. CRISPR-edited cell lines identified the proteomic and phosphoproteomic effects of FBXW7 mutation in 3 high-risk endometrial cancers (ECs), including altered protein levels of L1CAM and TGM2. This result is important because L1CAM and TGM2 are druggable proteins that could represent new therapeutic targets.

methodsWe used cBioPortal for Cancer Genomics to analyze data in The Cancer Genome Atlas (TCGA). We used the UCSC Xena Browser to analyze gene expression. For differential gene expression analysis, the gene ontology molecular function 2018 version was used. The analysis was focused on determined genes.

resultsFBXW7 mutations affect gene expression of L1CAM but are unrelated to TGM2 gene expression. L1CAM gene expression is significantly related to survival. Patients with lower L1CAM gene expression have better survival. FBXW7 mutations are unrelated to survival. TGM2 gene expression is unrelated to FBXW7 mutations. TGM2 gene expression is unrelated to survival, all tumor grades or grade 3 alone.

conclusionWe agree with Urick et al. that L1CAM may be a promising druggable target in endometrial carcinoma. The lack of relationship of TGM2 expression with FBXW7 mutations and endometrial cancer survival suggests that TGM2 might not be of as much value as a druggable target, compared to L1CAM. However, the fact that a certain alteration is not prognostic for cancer survival does not necessarily mean that the alteration will not be targetable. More data, such as inhibition of each gene by calculating drug targetability, may be required to support this conclusion.

Indexed as

Endometrial cancerGeneticsThe cancer genome atlas

Identifiers

PMID34933203
PMCPMC9277713
OpenAlexW4200382735

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.