Evidence map›Paper›PMID 35396491›Full record

ArticleScientific reports2022

Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes.

Nehakumari Maurya, Purvi Mohanty, Somprakash Dhangar, Purvi Panchal, Farah Jijina, S Leo Prince Mathan, Chandrakala Shanmukhaiah, Manisha Madkaikar, Babu Rao Vundinti

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Nehakumari MauryaDepartment of Cytogenetics, ICMR-National Institute of Immunohematology, K.E.M. Hospital Campus, Mumbai, Maharashtra, 400012, India.
Purvi MohantyDepartment of Cytogenetics, ICMR-National Institute of Immunohematology, K.E.M. Hospital Campus, Mumbai, Maharashtra, 400012, India.
Somprakash DhangarDepartment of Cytogenetics, ICMR-National Institute of Immunohematology, K.E.M. Hospital Campus, Mumbai, Maharashtra, 400012, India.
Purvi PanchalDepartment of Cytogenetics, ICMR-National Institute of Immunohematology, K.E.M. Hospital Campus, Mumbai, Maharashtra, 400012, India.
Farah JijinaDepartment of Clinical Hematology, King Edward Memorial Hospital, Mumbai, Maharashtra, India.
S Leo Prince MathanDepartment of Clinical Hematology, King Edward Memorial Hospital, Mumbai, Maharashtra, India.
Chandrakala ShanmukhaiahDepartment of Clinical Hematology, King Edward Memorial Hospital, Mumbai, Maharashtra, India.
Manisha MadkaikarDepartment of Cytogenetics, ICMR-National Institute of Immunohematology, K.E.M. Hospital Campus, Mumbai, Maharashtra, 400012, India.
Babu Rao VundintiDepartment of Cytogenetics, ICMR-National Institute of Immunohematology, K.E.M. Hospital Campus, Mumbai, Maharashtra, 400012, India. vbaburao@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) are a group of clonal hematological disease with high risk of progression to AML. Accurate risk stratification is of importance for the proper management of MDS. Genetic lesions (Cytogenetic and Molecular mutations) are known to help in prognosticating the MDS patients. We have studied 152 MDS patients using cytogenetics and next generation sequencing (NGS). These patients were evaluated and as per cytogenetic prognostic group, majority (92.1%) of the patients classified as good (81.6%) and intermediate (10.5%) group. The NGS identified 38 different gene mutations in our cohort. Among 111 MDS patients with mutations, the most frequent mutated genes were SF3B1 (25.2%), SRSF2 (19%) U2AF1 (14.4%) ASXL1 (9.9%) RUNX1 (9.9%) TET2 (9%), TP53 (9%), ATM (6.3%), NRAS (5.4%) and JAK2/3 (5.4%). The survival analysis revealed that the mutations in TP53, JAK2/3, KRAS, NRAS and ASXL1 were significantly (P < 0.05) associated with poor survival of the patients. The univariate cox and multivariate cox analysis of our study suggested that the age, marrow morphology, cytogenetic and gene mutations with IPSS-R should be considered for prognosticating the MDS patients. We have proposed M-IPSS-R which changed the risk stratification i.e. 66.3% patients had decreased risk whereas 33.75% showed increased risk compared to IPSS-R. The survival analysis also showed that the M-IPSS-R were more significant in separating the patients as per their risk than the IPSS-R alone. The change in risk stratification could help in proper strategy for the treatment planning.

Indexed as

Myelodysplastic SyndromesHigh-Throughput Nucleotide SequencingHumansMutationPrognosisSurvival Analysis

Identifiers

PMID35396491
PMCPMC8993876

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