Evidence map›Paper›PMID 36299526›Full record

ArticleHeliyon2022

Mining of transcriptome identifies CD109 and LRP12 as possible biomarkers and deregulation mechanism of T cell receptor pathway in Acute Myeloid Leukemia.

EbyNesar StellaGlory Deepak Shyl, Beutline Malgija, Appadurai Muthamil Iniyan, Ramasamy Mahendran, Samuel Gnana Prakash Vincent

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

EbyNesar StellaGlory Deepak ShylInternational Centre for Nanobiotechnology (ICN), Centre for Marine Science and Technology (CMST), Manonmaniam Sundaranar University, Kanyakumari District, Rajakkamangalam 629502, Tamil Nadu, India.
Beutline MalgijaComputational Science Laboratory, MCC-MRF Innovation Park, Madras Christian College, Chennai 600 059, Tamil Nadu, India.
Appadurai Muthamil IniyanInternational Centre for Nanobiotechnology (ICN), Centre for Marine Science and Technology (CMST), Manonmaniam Sundaranar University, Kanyakumari District, Rajakkamangalam 629502, Tamil Nadu, India.
Ramasamy MahendranCancer Therapeutics Lab, Department of Microbial Biotechnology, Bharathiar University, Coimbatore, Tamil Nadu 641046, India.
Samuel Gnana Prakash VincentInternational Centre for Nanobiotechnology (ICN), Centre for Marine Science and Technology (CMST), Manonmaniam Sundaranar University, Kanyakumari District, Rajakkamangalam 629502, Tamil Nadu, India.
Manonmaniam Sundaranar University · INBharathiar University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute Myeloid Leukemia (AML) is a heterogeneous disease with highest mortality compared to other types of leukemia. There is a need to find the gene abnormalities and mechanisms behind them due to their heterogenic nature. The present study is aimed to understand genes, pathways and biomarker proteins influenced by transcriptomic deregulation due to AML. Differentially expressed gene (DEG), protein-protein interaction network, gene ontology, KEGG pathway, variant analysis and secretome analyses were performed using different AML RNAseq datasets. A total of 655 DEGs including 291 up-regulated and 364 down-regulated genes, which were satisfied with a fold change of 1.5 were identified. Top hub genes for AML were identified as TP53, PTPRC and AKT1. This integrative bioinformatics approach revealed the deregulation of T Cell Receptor (TCR) pathway and altered immune response related genes. The survival analysis revealed the associated deregulation of multiple TCR pathway related genes. Variant analysis identified the benign and likely benign nature of many important target genes and markers screened, which were found to have an important role in the progression of AML. DEGs and secretome analysis found out a set of seven molecules represents potential biomarkers for AML.

Indexed as

Acute myeloid leukemiaDifferential gene expressionGene ontologyNetwork analysisSecretome analysisVariant analysis

Identifiers

PMID36299526
PMCPMC9589179
OpenAlexW4306688549

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.