Evidence map›Paper›PMID 35430388›Full record

ArticleLeukemia research2022

Landscape of NOTCH1 mutations and co-occurring biomarker alterations in chronic lymphocytic leukemia.

Fatima Zahra Jelloul, Richard Yang, Sofia Garces, Rashmi Kanagal-Shamanna, Chi Y Ok, Sanam Loghavi, Mark J Routbort, Zhuang Zuo, C Cameron Yin, Kristen Floyd and 7 more

Open access · greenAbstract read
In one paragraph

Article in Leukemia research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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

17 authors at 1 institution in 1 country.

Fatima Zahra JelloulThe University of Texas MD Anderson Cancer Center, USA. Electronic address: fjelloul@mdanderson.org.
Richard YangThe University of Texas MD Anderson Cancer Center, USA.
Sofia GarcesThe University of Texas MD Anderson Cancer Center, USA.
Rashmi Kanagal-ShamannaThe University of Texas MD Anderson Cancer Center, USA.
Chi Y OkThe University of Texas MD Anderson Cancer Center, USA.
Sanam LoghaviThe University of Texas MD Anderson Cancer Center, USA.
Mark J RoutbortThe University of Texas MD Anderson Cancer Center, USA.
Zhuang ZuoThe University of Texas MD Anderson Cancer Center, USA.
C Cameron YinThe University of Texas MD Anderson Cancer Center, USA.
Kristen FloydThe University of Texas MD Anderson Cancer Center, USA.
Roland L BassettThe University of Texas MD Anderson Cancer Center, USA.
William WierdaThe University of Texas MD Anderson Cancer Center, USA.
Nitin JainThe University of Texas MD Anderson Cancer Center, USA.
Philip ThompsonThe University of Texas MD Anderson Cancer Center, USA.
Rajyalakshmi LuthraThe University of Texas MD Anderson Cancer Center, USA.
L Jeffrey MedeirosThe University of Texas MD Anderson Cancer Center, USA.
Keyur P PatelThe University of Texas MD Anderson Cancer Center, USA. Electronic address: kppatel@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

NOTCH1 is one of the most frequently mutated genes in chronic lymphocytic leukemia and has emerged as a marker of poor prognosis. In addition to coding NOTCH1 mutations involving exon 34, non-coding NOTCH1 mutations involving the 3' UTR have been described in a limited number of chronic lymphocytic leukemia (CLL) patients and were associated with adverse outcomes. In this study, 1574 CLL patients were assessed using targeted sequencing with a 29 gene panel and the results were correlated with prognostic characteristics. NOTCH1 mutations were detected in 252 (16%) patients, including both coding (220/252, 14%), non-coding (24/252, 1.5%) and a mixture of coding and non-coding (8/252, 0.5%) NOTCH1 mutations. NOTCH1 mutations were more commonly seen in patients with unmutated IGHV, ZAP70 positivity and CD38 positivity. Mixed NOTCH1 mutations were also more commonly seen in patients with unmutated IGHV and ZAP70. There was no association between mixed NOTCH1 mutations and CD38 expression in this cohort. The most common cytogenetic alteration detected in patients with coding and mixed NOTCH1 mutations was trisomy 12, whereas del13q was the most common cytogenetic alteration detected in patients with non-coding NOTCH1 mutation. The most common gene mutations co-occurring with coding NOTCH1 mutations were: TP53 (23.2%), SF3B1 (16.4%) and SPEN (10%). The most common gene mutations co-occurring with non-coding NOTCH1 mutations were: SF3B1 11(34.4%), ATM 4(12.5%) and TP53 4(12.5%). CLL patients with clonal coding and non-coding NOTCH1 mutations had a significantly shorter time-to-first treatment than patients with wild type NOTCH1 (4.3 vs 10.0 years and 0.9 vs 10.0 years respectively, p < 0.05). Similarly, CLL patients with subclonal coding NOTCH1 mutations had a significantly shorter time-to-first treatment than patients with wild type NOTCH1 (5.6 vs 10.0 years, p < 0.05). CLL patients with subclonal non-coding NOTCH1 mutations also had a shorter time-to-first treatment than patients with wild type NOTCH1 mutations, however, the difference was not significant (5.1 vs 10.0 years, p = 0.15). These data confirm that both coding and non-coding NOTCH1 mutations carry adverse prognostic impact and need to be included in sequencing assays performed for the prognostic workup of CLL patients.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellBiomarkersHumansMutationPrognosisReceptor, Notch1BiomarkersNOTCH1 protein, humanReceptor, Notch1Chronic lymphocytic leukemiaCodingNon-codingNOTCH1 mutations

Identifiers

PMID35430388
PMCPMC9185699
OpenAlexW4220825181

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.