Background: It is unclear whether total gastrectomy (TG) is always necessary for gastric cancer of the cardia. We therefore investigated whether cardiac cancers treated by TG would have been cured by proximal gastrectomy (PG).
Methods: Photocopies of the resected stomachs of 55 patients who had received TG for cardiac cancer were reviewed. A simulated resection line for PG was drawn connecting a point 5 cm from the pyloric ring on the lesser curvature with a point 15 cm from the pyloric ring on the greater curvature. The distal surgical margin between the tumor edge and the simulated resection line was measured, and lymph nodes (LN) dissected surgically were examined for tumor involvement.
Results: Tumor location fell into three categories, upper-middle (UM, n = 28), upper (U, n = 18), and upper-esophagus (UE, n = 9). The means of the simulated surgical margins were 1.0 cm for UM, 4.7 cm for U, and 5.7 cm for UE tumors. UE tumors had no metastasis to No. 4d, 5, or 6 LN, and only one U tumor showed metastasis to No. 4d and 5 LN. In contrast, UM tumors had a higher incidence of these nodes involved.
Conclusion: Advanced gastric cancer located in the U or UE regions is mostly curable by PG.
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http://dx.doi.org/10.1159/000052000 | DOI Listing |
Exp Biol Med (Maywood)
December 2024
Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.
Gastric cancer (GC) is the kind of carcinoma that has the highest rates of morbidity and death worldwide. In the early stages of GC, there is currently an absence of sensitive and specific biomarkers. The newly-discovered class of non-coding RNAs (ncRNAs) known as transfer RNA-derived small RNAs (tsRNAs) is highly expressed in bodily fluids and neoplastic cells.
View Article and Find Full Text PDFOncol Res
December 2024
Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, China.
Objective: Gastric cancer (GC) is a globally common cancer characterized by high incidence and mortality worldwide. Advances in the molecular understanding of GC provide promising targets for GC diagnosis and therapy. Long non-coding RNAs (lncRNAs) and their downstream regulators are regarded to be implicated in the progression of multiple types of malignancies.
View Article and Find Full Text PDFOncol Res
December 2024
Department of Pathology, College of Medicine, King Khalid University, Abha, 62521, Saudi Arabia.
Background: Gastric cancer (GC) remains a global health burden and is often characterized by heterogeneous molecular profiles and resistance to conventional therapies. The phosphoinositide 3-kinase and PI3K and Janus kinase (JAK) signal transducer and activator of transcription (JAK-STAT) pathways play pivotal roles in GC progression, making them attractive targets for therapeutic interventions.
Methods: This study applied a computational and molecular dynamics simulation approach to identify and characterize SBL-JP-0004 as a potential dual inhibitor of JAK2 and PI3KCD kinases.
Front Oncol
December 2024
Department of Orthopedics, Chengdu Fifth People's Hospital, Chengdu, China.
Background: Prostate cancer (PCa) ranks as the second leading cause of cancer-related mortality among men. Long non-coding RNAs (lncRNAs) are known to play a regulatory role in the development of various human cancers. LncRNA MAFG-divergent transcript (MAFG-DT) was reported to play a crucial role in tumor progression of multiple human cancers, such as pancreatic cancer, colorectal cancer, bladder cancer, and gastric cancer.
View Article and Find Full Text PDFFront Oncol
November 2024
Department of Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Purpose: This study aimed to develop and validate a model for accurately assessing the risk of distant metastases in patients with gastric cancer (GC).
Methods: A total of 301 patients (training cohort, n = 210; testing cohort, n = 91) with GC were retrospectively collected. Relevant clinical predictors were determined through the application of univariate and multivariate logistic regression analyses.
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