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Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus

PROVIDER: GSE232292 | GEO | 2024/09/18

REPOSITORIES: GEO

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Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [RNA-Seq]

Project description:Signet ring cell carcinoma (SRCC) of the stomach is a subtype of gastric cancer with poor prognosis. It is characterized with unique large vacuoles of mucin and compressed nucleus, which resemble signet rings, while the underlying molecular mechanisms driving SRCC remain elusive. Here, we studied whether and how human gastric SRCC-associated ARID1A deficiency drove the disease.

2024-09-18 | GSE232288 | GEO

Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [ATAC-Seq]

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Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [Cut & Tag]

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Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma

Project description:Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma

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Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [Cut & Tag]

Project description:Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [Cut & Tag]

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Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [ATAC-Seq]

Project description:Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [ATAC-Seq]

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Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [RNA-Seq]

Project description:Dual roles of ARID1A in both mucin production and secretion to restrain gastric signet ring cell carcinoma [RNA-Seq]

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Diagnostic value of dual-source, dual-energy computed tomography combined with the neutrophil-lymphocyte ratio for discriminating gastric signet ring cell from mixed signet ring cell and non-signet ring cell carcinomas.

Project description:PurposeTo explore the diagnostic value of dual-source computed tomography (DSCT) and neutrophil to lymphocyte ratio (NLR) for differentiating gastric signet ring cell carcinoma (SRC) from mixed SRC (mSRC) and non-SRC (nSRC).MethodsThis retrospective study included patients with gastric adenocarcinoma who underwent DSCT between August 2019 and June 2021 at our Hospital. The iodine concentration in the venous phase (ICvp), standardized iodine concentration (NICVP), and the slope of the energy spectrum curve (kVP) were extracted from DSCT data. NLR was determined from laboratory results. DSCT (including ICVP, NICVP, and kVP) and combination (including DSCT model and NLR) models were established based on the multinomial logistic regression analysis. The receiver operator characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the diagnostic value.ResultsA total of 155 patients (SRC [n = 45, aged 61.22 ± 11.4 years], mSRC [n = 60, aged 61.09 ± 12.7 years], and nSRC [n = 50, aged 67.66 ± 8.76 years]) were included. There were significant differences in NLR, ICVP, NICVP, and kVP among the SRC, mSRC, and nSRC groups (all P < 0.001). The AUC of the combination model for SRC vs. mSRC + nSRC was 0.964 (95% CI: 0.923-1.000), with a sensitivity of 98.3% and a specificity of 86.7%, higher than with DSCT (AUC: 0.959, 95% CI: 0.919-0.998, sensitivity: 90.0%, specificity: 89.9%) or NLR (AUC: 0.670, 95% CI: 0.577-0.768, sensitivity: 62.2%, specificity: 61.8%).ConclusionDSCT combined with NLR showed high diagnostic efficacy in differentiating SRC from mSRC and nSRC.

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Gastric Signet Ring Cell Carcinoma: Current Management and Future Challenges.

Project description:Recent advances in the epidemiology, pathology, molecular mechanisms, and combined modality therapy (CMT) fields have shown that gastric signet ring cell carcinoma (GSRC) should be considered a distinct cancerous entity. Clinical management of this cancer is challenging, with chemoradioresistance and poor outcomes in advanced stages. Pathological and molecular sets of GSRC demonstrate different features of poor cohesion and differentiation according to the WHO, Japanese Gastric Cancer Association, and Laurén classifications. These features also result in poor response to adjuvant and neoadjuvant chemoradiotherapy. Certain studies of GSRC showed the disputed effectiveness of hyperthermic intraperitoneal chemotherapy and immunotherapy. Our aim was to discuss how an improved understanding of these therapeutic benefits may provide better treatment selection for patients, and therefore improve survival. The challenges in the new understanding of GSRC in routine practice and pathology, and the current limitations of treatment will also be discussed.

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A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma.

Project description:BackgroundThe aim of our study was to develop a nomogram model to predict overall survival (OS) and cancer-specific survival (CSS) in patients with gastric signet ring cell carcinoma (GSRC).MethodsGSRC patients from 2004 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database and randomly assigned to the training and validation sets. Multivariate Cox regression analyses screened for OS and CSS independent risk factors and nomograms were constructed.ResultsA total of 7,149 eligible GSRC patients were identified, including 4,766 in the training set and 2,383 in the validation set. Multivariate Cox regression analysis showed that gender, marital status, race, AJCC stage, TNM stage, surgery and chemotherapy were independent risk factors for both OS and CSS. Based on the results of the multivariate Cox regression analysis, prognostic nomograms were constructed for OS and CSS. In the training set, the C-index was 0.754 (95% CI = 0.746-0.762) for the OS nomogram and 0.762 (95% CI: 0.753-0.771) for the CSS nomogram. In the internal validation, the C-index for the OS nomogram was 0.758 (95% CI: 0.746-0.770), while the C-index for the CSS nomogram was 0.762 (95% CI: 0.749-0.775). Compared with TNM stage and SEER stage, the nomogram had better predictive ability. In addition, the calibration curves also showed good consistency between the predicted and actual 3-year and 5-year OS and CSS.ConclusionThe nomogram can effectively predict OS and CSS in patients with GSRC, which may help clinicians to personalize prognostic assessments and clinical decisions.

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