Dataset Information

Identification of novel biomarkers for lung squamous cell carcinoma.

ABSTRACT: Lung squamous cell carcinoma (LUSC) is the second most common subtype of lung cancer, accounting for a majority of lung cancer-related deaths. Detection or diagnosis of cancer at an early stage is an unmet clinical need that is being actively explored. In this study, we aimed to identify potential biomarkers for LUSC, by screening expression status of all human genes against LUSC patient samples available with The Cancer Genome Atlas (TCGA). This led to the identification of several genes that are upregulated in LUSC. Further analysis revealed that many of these genes also show higher expression at the protein level not only in lung cancer but also in other cancers. Additionally, some of these genes show stage-dependent higher expression and are associated with statistically significant poor survival of LUSC patients. As per our results, more than 60 genes are overexpressed in LUSC at the level of mRNA and some at the protein level. Thus, we identified genes such as MCC1, MRPL47, CRYGS, HSP40, DNAJC19, GMPS and PARL as novel potential biomarkers for LUSC in this study. We believe that these genes hold great potential as LUSC biomarkers for early detection as the data are derived from patient samples.

Supplementary information

The online version contains supplementary material available at 10.1007/s13205-023-03489-z.

SUBMITTER: Guttapadu R

PROVIDER: S-EPMC9895444 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Identification of novel biomarkers for lung squamous cell carcinoma.

Guttapadu Ranjitha R Katte Teesta T Sayeeram Deepak D Bhatia Saloni S Abraham Anika Rachel AR Rajeev Kiran K Amara Anish Raju R ARR Siri Sharadhi S Bommana Kavitha K Rasalkar Avinash Arvind AA Malempati Rajyalakshmi R Mustak Mohammed S MS Narayanan Prathibha P Reddy S Divijendra Natha SDN

3 Biotech 20230202 2

Lung squamous cell carcinoma (LUSC) is the second most common subtype of lung cancer, accounting for a majority of lung cancer-related deaths. Detection or diagnosis of cancer at an early stage is an unmet clinical need that is being actively explored. In this study, we aimed to identify potential biomarkers for LUSC, by screening expression status of all human genes against LUSC patient samples available with The Cancer Genome Atlas (TCGA). This led to the identification of several genes that a ...[more]

PMID: 36742449

Similar Datasets

Project description:BACKGROUND:MicroRNA (miR)s are promising diagnostic biomarkers of cancer. Recent next generation sequencer (NGS) studies have found that isoforms of micro RNA (isomiR) circulate in the bloodstream similarly to mature micro RNA (miR). We hypothesized that combination of circulating miR and isomiRs detected by NGS are potentially powerful cancer biomarker. The present study aimed to investigate their application in esophageal cancer. METHODS:Serum samples from patients with esophageal squamous cell carcinoma (ESCC) and age and sex matched healthy control (HC) individuals were investigated for the expression of miR/isomiRs using NGS. Candidate miR/isomiRs which met the criteria in the 1st group (ESCC = 18 and HC = 12) were validated in the 2nd group (ESCC = 30 and HC = 30). A diagnostic panel was generated using miR/isomiRs that were consistently confirmed in the 1st and 2nd groups. Accuracy of the panel was tested then in the 3rd group (ESCC = 18 and HC = 18). Their use was also investigated in 22 paired samples obtained pre- and post-treatment, and in patients with esophageal adenocarcinoma (EAD) and high-grade dysplasia (HGD). RESULTS:Twenty-four miR/isomiRs met the criteria for diagnostic biomarker in the 1st and 2nd group. A multiple regression model selected one mature miR (miR-30a-5p) and two isomiRs (isoform of miR-574-3p and miR-205-5p). The index calculated from the diagnostic panel was significantly higher in ESCC patients than in the HCs (13.3±8.9 vs. 3.1±1.3, p<0.001). The area under the receiver operating characteristics (ROC) curves of the panel index was 0.95. Sensitivity and specificity were 93.8%, and 81% in the 1st and 2nd groups, and 88.9% and 72.3% in the 3rd group, respectively. The panel index was significantly lower in patients with EAD (6.2±4.5) and HGD (4.2±1.7) than in those with ESCC and was significantly decreased at post-treatment compared with pre-treatment (6.2±5.6 vs 11.6±11.5, p = 0.03). CONCLUSION:Our diagnostic panel had high accuracy in the diagnosis of ESCC. MiR/isomiRs detected by NGS could serve as novel biomarkers of ESCC.

Dataset Information

Identification of novel biomarkers for lung squamous cell carcinoma.

Supplementary information

Publications

Identification of novel biomarkers for lung squamous cell carcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets