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Background: Poorly cohesive gastric carcinomas are classified based on the proportion of signet-ring cell carcinoma (SRCC) components. In surgically resected gastric cancer, SRCC is diagnosed when the signet-ring cell (SRC) component constitutes ≥ 50% of the entire tumor, whereas poorly cohesive carcinoma (PCC) not otherwise specified is diagnosed when the proportion of the SRC component is < 50% of the entire tumor. The SRCC proportion in PCC varies along the spectrum, and its prognostic significance in gastric cancer remains unclear.
Aim: To investigate how the proportion of SRCC affects tumor pathology, clinical outcomes, and prognosis and treatment decision-making.
Methods: This retrospective study included 1066 patients with PCC who underwent gastric cancer surgery at Seoul National University Bundang Hospital from 2016 to 2023. Patients were classified into four groups based on the SRCC proportion: < 10%, ≥ 10% and < 50%, ≥ 50% and < 90%, and ≥ 90%. Clinicopathological and molecular data were compared between the groups. The correlation between SRCC proportion and pathological factors associated with indications for endoscopic resection in patients with early-stage gastric cancer (EGC) was analyzed.
Results: A higher SRCC proportion was associated with smaller tumor size, lower tumor stage pathological tumor-node-metastasis, and reduced rates of lymphatic, vascular, and neural invasion ( 0.001). Notably, the ≥ 90% SRCC group exhibited the highest recurrence-free survival ( 0.0072) and overall survival ( 0.0002). In EGC, lower SRCC rates were correlated with increased ulceration, larger tumor size, and deeper submucosal invasion ( 0.001).
Conclusion: Higher SRCC proportions in the PCC correlate with lower tumor aggressiveness and improved prognosis. Its role in EGC should be validated as a factor influencing therapeutic strategies, including endoscopic submucosal dissection.
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http://dx.doi.org/10.3748/wjg.v31.i30.109465 | DOI Listing |
Signal Transduct Target Ther
September 2025
State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
Gastric Cancer
September 2025
Department of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Background: Immune checkpoint inhibitors (ICIs) play a pivotal role in the treatment of advanced gastric cancer (GC). However, the biomarkers used to predict ICI efficacy are limited due to their reliance on single or static tumor characteristics. This study aims to develop a machine learning (ML) model that incorporates dynamic changes in clinlabomics data to optimize the predictive accuracy of ICI efficacy.
View Article and Find Full Text PDFNutr Clin Pract
September 2025
School of Biological, Health and Sports Sciences, Technological University Dublin, Dublin, Ireland.
Background: Esophagectomy causes anatomical changes that can lead to rapid food transit and reactive hypoglycemia (RH). Patients are advised on eating patterns postesophagectomy to prevent RH, but its true incidence and the impact of dietary recommendations remain under-researched.
Materials And Methods: Individuals >12 months postesophagectomy were recruited from the National Centre for Oesophageal and Gastric Cancer at St James's Hospital in Dublin, Ireland.
J Thorac Oncol
September 2025
Department of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan. Electronic address:
Free Radic Biol Med
September 2025
Department of General Surgery, Jiangnan University Medical Center, Wuxi, PR China. Electronic address:
In oxaliplatin-resistant gastric cancer (GC), multi-omics profiling combined with organoid libraries reveals altered metabolic pathways associated with chemoresistance. We identify a novel lactylation modification at K115 of Poly(RC)-binding protein 2 (PCBP2K115la), which confers functional oxaliplatin resistance. Mechanistic studies demonstrate that the long non-coding RNA BASP1-AS1 assembles a complex containing Unc-51 Like Autophagy Activating Kinase 1 (ULK1) and lactate dehydrogenase A (LDHA), thereby activating LDHA enzymatic activity to increase lactate production.
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