ArticleOncotarget2019
Differential gene expression analysis of HNSCC tumors deciphered tobacco dependent and independent molecular signatures.
Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 41 citations in OpenAlex.
- Article
- Review
- MLC2: Physiological Functions and Potential Roles in Tumorigenesis.Cell biochemistry and biophysics · 2025Review
- Mapping immune activity in HPV-negative head and neck squamous cell carcinoma: a spatial multiomics analysis.Journal for immunotherapy of cancer · 2025Article
- Analysis of nuclear receptor expression in head and neck cancer.Cancer genetics · 2025Article
- Development of Chromatin Regulator-related Molecular Subtypes and a Signature to Predict Prognosis and Immunotherapeutic Response in Head and Neck Squamous Cell Carcinoma.Current cancer drug targets · 2024Article
- Article
- Transcriptomic Profile of Canine Mammary Ductal Carcinoma.International journal of molecular sciences · 2023Article
- MYL5 as a Novel Prognostic Marker is Associated with Immune Infiltrating in Breast Cancer: A Preliminary Study.The breast journal · 2023Article
- A pan-cancer analysis of pituitary tumor-transforming 3, pseudogene.American journal of translational research · 2023Article
- Tracking the Molecular Fingerprint of Head and Neck Cancer for Recurrence Detection in Liquid Biopsies.International journal of molecular sciences · 2022Review
- Novel Therapies for Tongue Squamous Cell Carcinoma Patients with High-Grade Tumors.Life (Basel, Switzerland) · 2021Article
- Integrated multiplex network based approach for hub gene identification in oral cancer.Heliyon · 2021Article
- AKR1C3 is a biomarker and druggable target for oropharyngeal tumors.Cellular oncology (Dordrecht, Netherlands) · 2021Article
- Cystatin-B Negatively Regulates the Malignant Characteristics of Oral Squamous Cell Carcinoma PossiblyFrontiers in oncology · 2021Article
- Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer.Frontiers in oncology · 2021Article
- Whole-Exome Sequencing Analysis of Oral Squamous Cell Carcinoma Delineated by Tobacco Usage Habits.Frontiers in oncology · 2021Article
- From Bench to Bedside in Tongue Muscle Cancer Invasion and Back again: Gross Anatomy, Microanatomy, Surgical Treatments and Basic Research.Life (Basel, Switzerland) · 2020Review
- Identification of microRNAs Targeting the Transporter Associated with Antigen Processing TAP1 in Melanoma.Journal of clinical medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head and neck cancer is the sixth most common cancer worldwide, with tobacco as the leading cause. However, it is increasing in non-tobacco users also, hence limiting our understanding of its underlying molecular mechanisms. RNA-seq analysis of cancers has proven as effective tool in understanding disease etiology. In the present study, RNA-Seq of 86 matched Tumor/Normal pairs, of tobacco smoking (TOB) and non-smokers (N-TOB) HNSCC samples analyzed, followed by validation on 375 similar datasets. Total 2194 and 2073 differentially expressed genes were identified in TOB and N-TOB tumors, respectively. GO analysis found muscle contraction as the most enriched biological process in both TOB and N-TOB tumors. Pathway analysis identified muscle contraction and salivary secretion pathways enriched in both categories, whereas calcium signaling and neuroactive ligand-receptor pathway was more enriched in TOB and N-TOB tumors respectively. Network analysis identified muscle development related genes as hub node i. e. ACTN2, MYL2 and TTN in both TOB and N-TOB tumors, whereas EGFR and MYH6, depicts specific role in TOB and N-TOB tumors. Additionally, we found enriched gene networks possibly be regulated by tumor suppressor miRNAs such as hsa-miR-29/a/b/c, hsa-miR-26b-5p etc., suggestive to be key riboswitches in regulatory cascade of HNSCC. Interestingly, three genes PKLR, CST1 and C17orf77 found to show opposite regulation in each category, hence suggested to be key genes in separating TOB from N-TOB tumors. Our investigation identified key genes involved in important pathways implicated in tobacco dependent and independent carcinogenesis hence may help in designing precise HNSCC diagnostics and therapeutics strategies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.