Evidence map›Paper›PMID 39068559›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2024

Refinement of Risk-Stratification of Cytogenetically Normal Acute Myeloid Leukemia Adult Patients by MN1 Expression.

Aparna Ningombam, Deepak Verma, Rajive Kumar, Jay Singh, M Shadab Ali, Avanish Kumar Pandey, Inder Singh, Sameer Bakhshi, Atul Sharma, Deepam Pushpam and 4 more

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

1 citing paper in PubMed.

  1. 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

14 authors.

Aparna NingombamLaboratory Medicine, JPNATC, AIIMS, New Delhi, India.ORCID 0000-0002-5771-1730
Deepak VermaLaboratory Oncology, Dr. BRAICH, AIIMS, New Delhi, India.ORCID 0000-0003-4699-9609
Rajive KumarLaboratory Oncology, Dr. BRAICH, AIIMS, New Delhi, India.
Jay SinghLaboratory Oncology, Dr. BRAICH, AIIMS, New Delhi, India.
M Shadab AliPulmonary Medicine, AIIMS, New Delhi, India.
Avanish Kumar PandeyLaboratory Oncology, Dr. BRAICH, AIIMS, New Delhi, India.
Inder SinghNeurology, AIIMS, New Delhi, India.
Sameer BakhshiMedical Oncology, AIIMS, New Delhi, India.
Atul SharmaMedical Oncology, AIIMS, New Delhi, India.
Deepam PushpamMedical Oncology, AIIMS, New Delhi, India.
Jayanth Kumar PalanichamyMedical Oncology, AIIMS, New Delhi, India.
Pranay TanwarLaboratory Oncology, Dr. BRAICH, AIIMS, New Delhi, India.
Amar Ranjan SinghLaboratory Oncology, Dr. BRAICH, AIIMS, New Delhi, India.
Anita ChopraLaboratory Oncology, Dr. BRAICH, AIIMS, New Delhi, India.ORCID 0000-0002-0238-8702

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionAcute myeloid leukemia with normal cytogenetics (CN-AML) represents a heterogeneous group having diverse genetic mutations. Understanding the significance of each of these mutations is necessary. In this study, we evaluated the prognostic role of MN1 expression in adult CN-AML patients.

methodOne hundred and sixty-three de-novo adult AML patients were evaluated for MN1 expression by real-time PCR. MN1 expression was correlated with the clinical characteristics of the patients and their outcomes.

resultsHigher MN1 expression was associated with NPM1 wild-type (p<0.0001), CD34 positivity (p=0.006), and lower clinical remission rate (p=0.027). FLT3-ITD and CEBPA mutations had no association with MN1 expression. On survival analysis, a high MN1 expression was associated with poor event-free survival (Hazard Ratio 2.47, 95% Confidence Interval: 1.42-4.3; p<0.0001) and overall survival (Hazard Ratio 4.18, 95% Confidence Interval: 2.17-8.08; p<0.0001). On multivariate analysis, the MN1 copy number emerged as an independent predictor of EFS (p<0.0001) and OS (p<0.0001).

conclusionMN1 expression is an independent predictor of outcome in CN-AML.

Indexed as

Biomarkers, TumorLeukemia, Myeloid, AcuteNucleophosminTrans-ActivatorsTumor Suppressor ProteinsAdolescentAdultAgedAged, 80 and overCCAAT-Enhancer-Binding ProteinsFemalefms-Like Tyrosine Kinase 3Follow-Up StudiesHumansMaleMiddle AgedBiomarkers, TumorCCAAT-Enhancer-Binding Proteinsfms-Like Tyrosine Kinase 3MN1 protein, humanNPM1 protein, humanNuclear ProteinsNucleophosminTrans-ActivatorsTumor Suppressor ProteinsBAALCCEBPAFLT3GeneticsNPM1

Identifiers

PMID39068559
PMCPMC11480590

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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.