Development and Validation of an Esophageal Squamous Cell Carcinoma Detection Model by Large-Scale MicroRNA Profiling

Abstract Background Cancer and other chronic diseases such as cardiovascular disease, diabetes, chronic kidney disease, and respiratory disease share common risk factors, including aging and unhealthy lifestyles (eg, smoking and alcohol misuse). Although the recent prospective cohort large-scale study showed chronic diseases contributed to more than one fifth of the risk for incident cancer and more than one third of the risk for cancer death, the relation between esophageal squamous cell carcinoma (ESCC) and non-cancer chronic diseases (NCCD) still remain unknown. The aim of this study is to assess the independent and joint associations of major NCCD and ESCC. Methods From April 2011 to March 2017, 406 consecutive patients with ESCC diagnosed pathologically were enrolled. Their medical records as to patients’ background, the reason for their consultation, lifestyles, and medical history were investigated retrospectively in detail. Results As to the reason for their consultation, 45 patients (25.3%) were diagnosed at annual medical checkup (no symptoms), 125 (70.2%) consulted a doctor for any symptoms such as dysphagia, and 8 (4.5%) had other reasons. As to lifestyles, 304 (78.1%) were drinkers of alcohol (daily amount of alcohol consumption > 20g) and 302 (77.4%) were smokers (Brinkman index > 200), respectively. As to the medical history related to cancer or gastrointestinal diseases, 25 (6.8%) had a history of laryngopharyngeal cancer, 20 (5.1%) had a history of gastric cancer, 2 (0.5%) had a history of breast cancer, one (0.3%) had a history of sclerodema, and one (0.3%) had a history of esophageal achalasia. Of the 406 ESCC patients, 305 were early ESCC and the remaining 101 were advanced ESCC. As to the medical history in patients with advanced ESCC, 22 (21.8%) had a history of cancer of other organs, and 48 (47.5%) had NCCD including hypertension (35 patients), diabetes (18 patients), and hyperlipidemia (12 patients). Conclusion NCCD is an overlooked risk factor for ESCC, as important as two major lifestyle factors combined (drinkers of alcohol and smokers). General physicians who follow up NCCD patients should pay attention to the coexistence of ESCC. Disclosure All authors have declared no conflicts of interest.

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Lymph Node Station-Based Nodal Staging System for Esophageal Squamous Cell Carcinoma: A Large-Scale Multicenter Study

Annals of Surgical Oncology ◽

10.1245/s10434-019-07601-7 ◽

2019 ◽

Vol 26 (12) ◽

pp. 4045-4052 ◽

Cited By ~ 2

Author(s):

Yong Yuan ◽

Hyokyoung G. Hong ◽

Xiaoxi Zeng ◽

Li-Yan Xu ◽

Yu-Shang Yang ◽

...

Keyword(s):

Squamous Cell Carcinoma ◽

Lymph Node ◽

Esophageal Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Squamous Cell ◽

Multicenter Study ◽

Large Scale ◽

Staging System ◽

Nodal Staging

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Exploration of Potential Roles of a New LOXL2 Splicing Variant Using Network Knowledge in Esophageal Squamous Cell Carcinoma

The Scientific World JOURNAL ◽

10.1155/2014/431792 ◽

2014 ◽

Vol 2014 ◽

pp. 1-14 ◽

Cited By ~ 4

Author(s):

Bing-Li Wu ◽

Guo-Qing Lv ◽

Hai-Ying Zou ◽

Ze-Peng Du ◽

Jian-Yi Wu ◽

...

Keyword(s):

Squamous Cell Carcinoma ◽

Esophageal Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Squamous Cell ◽

Splice Variant ◽

Large Scale ◽

Molecular Mechanisms ◽

Splice Variants ◽

Lysyl Oxidase ◽

Wild Type

LOXL2 (lysyl oxidase-like 2), an enzyme that catalyzes oxidative deamination of lysine residue, is upregulated in esophageal squamous cell carcinoma (ESCC). A LOXL2 splice variant LOXL2-e13 and its wild type were overexpressed in ESCC cells followed by microarray analyses. In this study, we explored the potential role and molecular mechanism of LOXL2-e13 based on known protein-protein interactions (PPIs), following microarray analysis of KYSE150 ESCC cells overexpressing a LOXL2 splice variant, denoted by LOXL2-e13, or its wild-type counterpart. The differentially expressed genes (DEGs) of LOXL2-WT and LOXL2-e13 were applied to generate individual PPI subnetworks in which hundreds of DEGs interacted with thousands of other proteins. These two DEG groups were annotated by Functional Annotation Chart analysis in the DAVID bioinformatics database and compared. These results found many specific annotations indicating the potential specific role or mechanism for LOXL2-e13. The DEGs of LOXL2-e13, comparing to its wild type, were prioritized by the Random Walk with Restart algorithm. Several tumor-related genes such as ERO1L, ITGA3, and MAPK8 were found closest to LOXL2-e13. These results provide helpful information for subsequent experimental identification of the specific biological roles and molecular mechanisms of LOXL2-e13. Our study also provides a work flow to identify potential roles of splice variants with large scale data.

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