Evidence map›Paper›PMID 36689165›Full record

ArticleApplied biochemistry and biotechnology2023

Computational Gene Expression and Network Analysis of Myc Reveal Insights into Its Diagnostic and Prognostic Role in Subtypes of Renal Cancer.

Jyotsna Priyam, Urmila Saxena

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In one paragraph

Article in Applied biochemistry and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 6 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

2 authors at 1 institution in 1 country.

Jyotsna PriyamDepartment of Biotechnology, National Institute of Technology Warangal, Warangal, 506004, Telangana, India.
Urmila SaxenaDepartment of Biotechnology, National Institute of Technology Warangal, Warangal, 506004, Telangana, India. urmila@nitw.ac.in.ORCID http://orcid.org/0000-0002-4830-6485
National Institute of Technology Warangal · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we analysed the Myc expression in the pan-kidney cohort (KIPAN) and kidney renal clear cell carcinoma (KIRC) in human tumour tissues compared to normal tissues. Myc is overexpressed and associated with poor overall survival (OS) in the KIPAN and KIRC. It shows that Myc plays a crucial role in the growth and maintenance of these malignancies. Additionally, we explored coexpressed genes, gene-set enrichment analysis of coexpressed genes, proteins and regulatory partners directly linked with Myc in KIPAN and KIRC and their role in cancer-specific events. Pathway enrichment analysis concluded that Myc-related genes are involved in many cancer-related pathways. Furthermore, we studied that among KIPAN, mutant forms of tumour suppressor genes have a poor prognosis and are associated with higher Myc expression but not in KIRC. This paper also investigates the correlation between Myc expression and promoter methylation, tumour-infiltrating lymphocytes, and the interaction of Myc with drugs. Our study indicates that Myc can be used as a diagnostic and prognostic biomarker in patients with KIPAN and KIRC with diverse clinical and pathological characteristics.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkers, TumorGene ExpressionHumansKidneyPrognosisBiomarkers, TumorCoexpressionExpression analysisMycNetwork analysisPrognostic markerRenal cancer

Identifiers

PMID36689165
OpenAlexW4317739565

What OpenQuestion holds

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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.