Dataset Information

Spatial transcriptomics analysis of esophageal squamous precancerous lesions and their progression to esophageal cancer.

ABSTRACT: Esophageal squamous precancerous lesions (ESPL) are the precursors of esophageal squamous cell carcinoma (ESCC) including low-grade and high-grade intraepithelial neoplasia. Due to the absence of molecular indicators, which ESPL will eventually develop into ESCC and thus should be treated is not well defined. Indicators, for predicting risks of ESCC at ESPL stages, are an urgent need. We perform spatial whole-transcriptome atlas analysis, which can eliminate other tissue interference by sequencing the specific ESPL regions. In this study, the expression of TAGLN2 significantly increases, while CRNN expression level decreases along the progression of ESCC. Additionally, TAGLN2 protein level significantly increases in paired after-progression tissues compared with before-progression samples, while CRNN expression decreases. Functional studies suggest that TAGLN2 promotes ESCC progression, while CRNN inhibits it by regulating cell proliferation. Taken together, TAGLN2 and CRNN are suggested as candidate indicators for the risk of ESCC at ESPL stages.

SUBMITTER: Liu X

PROVIDER: S-EPMC10409784 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Spatial transcriptomics analysis of esophageal squamous precancerous lesions and their progression to esophageal cancer.

Liu Xuejiao X Zhao Simin S Wang Keke K Zhou Liting L Jiang Ming M Gao Yunfeng Y Yang Ran R Yan Shiwen S Zhang Wen W Lu Bingbing B Liu Feifei F Zhao Ran R Liu Wenting W Zhang Zihan Z Liu Kangdong K Li Xiang X Dong Zigang Z

Nature communications 20230808 1

Esophageal squamous precancerous lesions (ESPL) are the precursors of esophageal squamous cell carcinoma (ESCC) including low-grade and high-grade intraepithelial neoplasia. Due to the absence of molecular indicators, which ESPL will eventually develop into ESCC and thus should be treated is not well defined. Indicators, for predicting risks of ESCC at ESPL stages, are an urgent need. We perform spatial whole-transcriptome atlas analysis, which can eliminate other tissue interference by sequenci ...[more]

PMID: 37553345

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Project description:BackgroundFamily clustering of esophageal cancer (EC) has been found in high-risk areas of China. However, the relationships between cancer family history and esophageal cancer and precancerous lesions (ECPL) have not been comprehensively reported in recent years. This study aimed to provide evidence for identification of high-risk populations.MethodsThis study was conducted in five high-risk areas in China from 2017 to 2019, based on the National Cohort of Esophageal Cancer. The permanent residents aged 40 to 69 years were examined by endoscopy, and pathological examination was performed for suspicious lesions. Information on demographic characteristics, environmental factors, and cancer family history was collected. Unconditional logistic regression was applied to evaluate odds ratios between family history related factors and ECPL.ResultsAmong 33,008 participants, 6143 (18.61%) reported positive family history of EC. The proportion of positive family history varied significantly among high-risk areas. After adjusting for risk factors, participants with a family history of positive cancer, gastric and esophageal cancer or EC had 1.49-fold (95% confidence interval [CI]: 1.36-1.62), 1.52-fold (95% CI: 1.38-1.67), or 1.66-fold (95% CI: 1.50-1.84) higher risks of ECPL, respectively. Participants with single or multiple first-degree relatives (FDR) of positive EC history had 1.65-fold (95% CI: 1.47-1.84) or 1.93-fold (95% CI: 1.46-2.54) higher risks of ECPL. Participants with FDRs who developed EC before 35, 45, and 50 years of age had 4.05-fold (95% CI: 1.30-12.65), 2.11-fold (95% CI: 1.37-3.25), and 1.91-fold (95% CI: 1.44-2.54) higher risks of ECPL, respectively.ConclusionsParticipants with positive family history of EC had significantly higher risk of ECPL. This risk increased with the number of EC positive FDRs and EC family history of early onset. Distinctive genetic risk factors of the population in high-risk areas of China require further investigation.Trial registrationChiCTR-EOC-17010553.

Dataset Information

Spatial transcriptomics analysis of esophageal squamous precancerous lesions and their progression to esophageal cancer.

Publications

Spatial transcriptomics analysis of esophageal squamous precancerous lesions and their progression to esophageal cancer.

Similar Datasets

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