Dataset Information

Label-based comparative proteomics to understand progression of precancerous lesions to oral squamous cell carcinoma

ABSTRACT: Oral squamous cell carcinomas typically arise from precancerous lesions such as leukoplakia and erythroplakia. These lesions exhibit a range of histological changes from hyperplasia to dysplasia and carcinoma in situ, during their transformation to malignancy. The molecular mechanisms driving this multistage transition remain incompletely understood. To bridge this knowledge gap, our current study utilizes label based comparative proteomics to compare protein expression profiles across different histopathological grades of leukoplakia, erythroplakia, and OSCC samples, aiming to elucidate the molecular changes underlying lesion evolution.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Oral Epithelium

SUBMITTER: GURURAO HARIPRASAD

LAB HEAD: Hariprasad Gururao

PROVIDER: PXD054190 | Pride | 2025-05-07

REPOSITORIES: Pride

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Label-based comparative proteomics of oral mucosal tissue to understand progression of precancerous lesions to oral squamous cell carcinoma.

Sharma Vipra V Singh Sundararajan Baskar SB Bandyopadhyay Sabyasachi S Sikka Kapil K Kakkar Aanchal A Hariprasad Gururao G

Biochemistry and biophysics reports 20241013

<h4>Introduction</h4>Oral squamous cell carcinomas typically arise from precancerous lesions such as leukoplakia and erythroplakia. These lesions exhibit a range of histological changes from hyperplasia to dysplasia and carcinoma in situ, during their transformation to malignancy. The molecular mechanisms driving this multistage transition remain incompletely understood. To bridge this knowledge gap, our current study utilizes label based comparative proteomics to compare protein expression prof ...[more]

PMID: 39483176

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Project description:Oral squamous cell carcinomas are neoplasms that are mostly preceded by precancerous lesions such as leukoplakia and erythroplakia. It is important for the clinician to know about the predilection and possibility of these precancerous conditions transforming to cancer. This will inturn help to efficiently treat and manage patients. It is therefore important to understand the molecular events that explain the biology of predilection and transformation of precancerous lesions such as erythroplakia and leukoplakia to cancer. Our study aims to identify potential biomarker proteins in precancerous lesions of leukoplakia and erythroplakia that can flag its transformation to oral cancer. Four biological replicate clinical phenotypes of healthy control, leukoplakia, erythroplakia, and oral carcinoma were recruited based on clinical screening and histopathological evaluation of buccal mucosa tissue. Differentially expressed proteins were delineated using Label-free quantitative proteomics experiment done on Orbitrap fusion Tribrid mass spectrometer in three technical replicate sets of samples. Raw files were processed using Maxquant version 2.0.1.0. and down stream analysis was done by Perseus version 1.6.15.0. Validation included functional annotation based on biological process and KEGG pathways using ClueGO plug-in of cytoscape. Hierarchical clustering, and principal component analysis were performed using ClustVis tool. Across control, leukoplakia, and cancer, l- lactate dehydrogenase A chain, plectin, and WD repeat-containing protein 1 were upregulated, whereas thioredoxin 1 and spectrin alpha chain non-erythrocytic 1 were downregulated. Across control, erythroplakia, and cancer, l- lactate dehydrogenase A chain was upregulated whereas aldehyde dehydrogenase 2, peroxiredoxin 1, Heat shock 70 kDa protein 1B, and spectrin alpha chain non-erythrocytic 1 were downregulated. We found proteins involved in leukoplakia were associated with alteration in cytoskeletal reorganization and glycolysis, while in erythroplakia they were associated with alteration in response to oxidative stress and glycolysis across phenotypes. Hierarchical clustering sub-grouped half of precancerous samples under the main branch of control and the remaining half under carcinoma. Similarly, principal component analysis identified segregated clusters of control, precancerous lesions, and cancer but erythroplakia phenotypes particularly overlapped more with cancer cluster. Label-free proteomics offers a good platform for identification of protein biomarkers that can flag premalignant conditions that could become malignant. Qualitative and quantitative protein signatures across control, precancer and cancer phenotypes explain the possible functional outcomes that dictate malignant transformation to oral carcinoma. The observations place the previously observed clinical findings of erythroplakia having more predilection for cancer, in the right perspective.

			Action	DRS
	UP000005640_9606.fasta	Fasta
	UP000005640_9606_additional.fasta	Fasta
	iTRAQ_1F1_1.raw	Raw
	iTRAQ_1F2_1.raw	Raw
	iTRAQ_1F3_1.raw	Raw