Evidence map›Paper›PMID 41347211›Full record

ArticleComputational molecular bioscience2025

Differential Molecular Transcriptomics and Underlying Biological Pathways between Smokers Lung Cancer (Small Cell Lung Carcinoma) in Comparison to Healthy Human Lung Cells.

Brent Lake, Anasua Banerjee, Jazmine Cuffee, Narendra Banerjee, Erik Armstrong, Satyendra Banerjee, Coza Blount, Colby Hunter, Ahmed El-Hashash, Kuldeep Rawat and 5 more

Abstract read
In one paragraph

Article in Computational molecular bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Brent LakeDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Anasua BanerjeeDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Jazmine CuffeeDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Narendra BanerjeeDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Erik ArmstrongDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Satyendra BanerjeeDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Coza BlountDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Colby HunterDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Ahmed El-HashashDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Kuldeep RawatDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Dolapo AdedejiDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.
Somiranjan GhoshDepartment of Biology, Howard University, Washington, USA.
Tanmoy MondalDepartments of Pediatrics and Child Health, College of Medicine, Howard University, Washington, USA.
Zahidur AbedinPrimBio Research Institute, Garnet Valley, USA.
Hirendra Nath BanerjeeDepartment of Natural Sciences, Pharmaceutical Science, Computer Science, Engineering & Technology, Elizabeth City State University Campus of the University of North Carolina, Elizabeth City, USA.

Funding

Elizabeth City State University Minority Access to Research Careers (E-MARC) UndeT34GM100831 · NIGMS · ELIZABETH CITY STATE UNIVERSITY · PI BANERJEE, HIRENDRA N · 2012 to 2022
$1.9M
NIGMS NIH HHS T34 GM100831
6 · The paper itself

Abstract

Cancer is a public health crisis affecting approximately 19.3 million globally annually. Lung cancer has the highest percentage of incidence and is responsible for 27% of cancer-related deaths. The lung cancer of prevalence in smokers is small-cell lung carcinoma. Lung cancer cells often exhibit altered gene expression patterns, compared to their normal counterparts. Yet this differential gene expression is not well understood. Herein, we investigated the differential expression of genes in small cell cancer cell lines compared to a healthy lung cell line that can lead to further insights into the proliferation, metastasis, and drug resistance of these lung cancer cells. Whole transcriptomic and small non-coding RNA sequencing was done by Next-generation sequencing (NGS) method, coupled with the Ingenuity Pathway Analysis (IPA) to decipher the core canonical pathways involved in these lung cancer cell-signaling mechanisms in disease pathophysiology. The findings of this investigation identified multiple genes and small non-coding tRNA/tRNA fragments that were differentially expressed, which thereby showed the possibility of potential diagnostic/prognostic and therapeutic targets. This important transcriptomic analysis can be a valuable tool for developing more effective treatment strategies for smokers lung cancer.

Indexed as

Core Canonical PathwaysLung CancerTranscriptome

Identifiers

PMID41347211
PMCPMC12674675

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.