Evidence map›Paper›PMID 35311290›Full record

ArticleACS chemical biology2022

Deubiquitinase Vulnerabilities Identified through Activity-Based Protein Profiling in Non-Small Cell Lung Cancer.

Shikha Mahajan, Anurima Majumder, Paul A Stewart, Yian Ann Chen, Emma Adhikari, Bin Fang, Yan Yang, Harshani Lawrence, Fumi Kinose, John M Koomen and 1 more

Open access · greenAbstract read
In one paragraph

Article in ACS chemical biology, 2022. 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
0.3field-weighted citation impact, top 46% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

11 authors at 1 institution in 1 country.

Shikha Mahajan
Anurima Majumder
Paul A Stewart
Yian Ann Chen
Emma Adhikari
Bin Fang
Yan Yang
Harshani LawrenceORCID 0000-0002-9263-7775
Fumi Kinose
Moffitt Cancer Center · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
Developing Chemical Probes for Oncogenic Signaling PathwaysR50CA211447 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Harshani R Lawrence · 2017 to 2026
$2.2M
NCI NIH HHS P30 CA076292NCI NIH HHS R50 CA211447
6 · The paper itself

Abstract

To aid in the prioritization of deubiquitinases (DUBs) as anticancer targets, we developed an approach combining activity-based protein profiling (ABPP) with mass spectrometry in both non-small cell lung cancer (NSCLC) tumor tissues and cell lines along with analysis of available RNA interference and CRISPR screens. We identified 67 DUBs in NSCLC tissues, 17 of which were overexpressed in adenocarcinoma or squamous cell histologies and 12 of which scored as affecting lung cancer cell viability in RNAi or CRISPR screens. We used the CSN5 inhibitor, which targets COPS5/CSN5, as a tool to understand the biological significance of one of these 12 DUBs, COPS6, in lung cancer. Our study provides a powerful resource to interrogate the role of DUB signaling biology and nominates druggable targets for the treatment of lung cancer subtypes.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAdaptor Proteins, Signal TransducingCell Line, TumorClustered Regularly Interspaced Short Palindromic RepeatsCOP9 Signalosome ComplexHumansSignal TransductionAdaptor Proteins, Signal TransducingCOP9 Signalosome ComplexCOPS6 protein, human

Identifiers

PMID35311290
PMCPMC11071078
OpenAlexW4221020435

What OpenQuestion holds

Textmetadata
LicenceTDM
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.