GPC-1 is significantly related to the perineural invasion of pancreatic cancer, holding some prognostic significance in patients with pancreatic cancer.

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Context: Somatostatin analogs are recommended for preoperative therapy in thyrotrophin secreting pituitary adenomas (TSHomas). Octreotide suppression test (OST) was designed to differentiate TSHomas with resistance to thyroid hormones, while its ability to test the sensitivity of SSA has not been fully studied.Objective: To test the sensitivity of SSA in TSHomas with OST.Patients: We collected 48 pathologically confirmed TSHoma patients with complete 72 h' data of OST into analysis.Intervention: Octreotide suppression test.Main Outcome: Sensitivity timepoint and cutoff of OST.Results: During the entire OST, the TSH descended maximally 89.07% (73.85%, 96.77%), while the FT3 and FT4 declined slowly [43.40% (37.80%, 54.44%) and 26.59% (19.01%, 33.13%), respectively]. The 24th hour was the timepoint wherein the stability occurs for TSH, and the 48th hour for FT3 and FT4 during OST. In the patients who received both short-and long-acting somatostatin analogs (SSA), the 24-h timepoint was the most predictive timepoint for the percentage of TSH decline (Spearman's rank correlation analysis, r = .571, p < .001), while the 72-h timepoint was optimal for predicting the magnitude of TSH decline (Spearman's rank correlation analysis, r = .438, p = .005). In the 24th timepoint, a positive correlation was also observed between TSH suppression rate and the percentage decrease and absolute value decrease of FT3 and FT4. Furthermore, in patients treated with longacting SSA, the 72-h timepoint was optimal for predicting both the percentage (Spearman's rank correlation analysis, r = .587, p = .01) and magnitude (Spearman's rank correlation analysis, r = .474, p = .047) of TSH decline. The 24th hour was the optimal timepoint with 44.54% (50% of median value of TSH in 72-hOST) decrease of TSH being the observing cutoff. The adverse effect of OST was predominantly occurred in the gastrointestinal system and no severe event occurred during OST.Paradoxical response could occur in OST and it did not influence the effect of SSA as long as sensitivity was confirmed. A high level of hormonal control was achieved in the SSA-sensitive patients. Conclusion:OST can be used as an efficient tool to guide the adequate use of SSA.

Purpose Diagnostic statements for pituitary adenomas (PAs) are complex and unstandardized. We aimed to determine the most commonly used elements contained in the statements and their combination patterns and variations in real-world clinical practice, with the ultimate goal of promoting standardized diagnostic recording and establishing an efficient element extraction process. Methods Patient medical records from 2012 to 2020 that included PA among the first three diagnoses were included. After manually labeling the elements in the diagnostic texts, we obtained element types and training sets, according to which an information extraction model was constructed based on the word segmentation model “Jieba” to extract information contained in the remaining diagnostic texts. Results A total of 576 different diagnostic statements from 4010 texts of 3770 medical records were enrolled in the analysis. The first ten diagnostic elements related to PA were histopathology, tumor location, endocrine status, tumor size, invasiveness, recurrence, diagnostic confirmation, Knosp grade, residual tumor, and refractoriness. The automated extraction model achieved F1-scores that reached 100% for all ten elements in the second round and 97.3–100.0% in the test set consisting of an additional 532 diagnostic texts. Tumor location, endocrine status, histopathology, and tumor size were the most commonly used elements, and diagnoses composed of the above elements were the most frequent. Endocrine status had the greatest expression variability, followed by Knosp grade. Among all the terms, the percentage of loss of tumor size was among the highest (21%). Among statements where the principal diagnoses were PAs, 18.6% did not have information on tumor size, while for those with other diagnoses, this percentage rose to 48% (P < 0.001). Conclusion Standardization of the diagnostic statement for PAs is unsatisfactory in real-world clinical practice. This study could help standardize a structured pattern for PA diagnosis and establish a foundation for research-friendly, high-quality clinical information extraction.