Background:MicroRNA (miRNA, miR)-18a is a member of the miR-17–92 cluster, an important locus that is markedly overexpressed in several cancers and associated with cancer development and progression. However, the mechanism of action of the miR-17–92 cluster and its individual miRNAs are largely unknown.Methods and Results:In this study, we investigated the expression of the miR-17–92 cluster by in situ hybridisation (ISH) assay and copy-number analysis in gastric tissue microarray (TMA) specimens. We determined that miR-18a was present at higher levels than the other five miRNAs in the cluster. In addition, we identified Protein Inhibitor of Activated Signal Transducer and Activator of Transcription 3 (PIAS3) as a direct target of miR-18a in gastric cancer. miR-18a level was positively correlated with levels of Survivin, Bcl-xL, and c-Myc, which are downstream transcriptional targets of Signal Transducer and Activator of Transcription 3 (STAT3). STAT3-induced transcription can be negatively regulated by PIAS3; consistent with this, PIAS3 level was negatively correlated with levels of Survivin, Bcl-xL, and c-Myc.Conclusion:Our findings indicate that miR-18a acts as an oncogene and plays a role in gastric adenocarcinogenesis, at least in part by negatively regulating PIAS3 and thereby modulating expression of STAT3 target genes.
In Japan, where CAM-resistant H. pylori strains are expected to continue to increase, tailored eradication therapy according to CAM sensitivity will be of benefit.
Robot-assisted thoracoscopic esophagectomy enables delicate surgical procedures owing to the 3D effect of the field of view and articulated forceps of the da Vinci. This procedure reduces bleeding and postoperative hospitalization and is less invasive than conventional esophagectomy by right thoracotomy.
Purpose: Establishment of a reliable method of predicting the efficacy of chemotherapy and radiotherapy is necessary to provide the most suitable treatment for each cancer patient. We investigated whether proteomic profiles of serum samples obtained from untreated patients were capable of being used to predict the efficacy of combined preoperative chemoradiotherapy against esophageal cancer. Experimental Design: Proteomic spectra were obtained from a training set of 27 serum samples (15 pathologically diagnosed responders to preoperative chemoradiotherapy and12 nonresponders) by surface-enhanced laser desorption and ionization coupled with hybrid quadrupole time-of-flight mass spectrometry. A proteomic pattern prediction model was constructed from the training set by machine learning algorithms, and it was then tested with an independent validation set consisting of serum samples from 15 esophageal cancer patients in a blinded manner. Results:We selected a set of four mass peaks, at 7,420, 9,112,17,123, and12,867 m/z, from a total of 859 protein peaks, as perfectly distinguishing responders from nonresponders in the training set with a support vector machine algorithm. This set of peaks (i.e., the classifier) correctly diagnosed chemoradiosensitivity in 93.3% (14 of 15) of the cases in the validation set. Conclusions: Recent mass spectrometric approaches have revealed that serum contains a large volume of information that reflects the microenvironment of diseased organs. Although a multi-institutional large-scale study will be necessary to confirm each component of the classifier, there is a subtle but definite difference in serum proteomic profile between responders and nonresponders to chemoradiotherapy.
Preoperative chemoradiotherapy has been shown to improve the outcome of patients with esophageal cancer, but because response to this therapy varies, it is desirable to identify in advance individuals who would be unlikely to benefit, in order to avoid unnecessary adverse drug effects. The serum profiles of 84 cytokines and related proteins were determined in 37 patients with esophageal squamous cell carcinoma who received identical neoadjuvant preoperative chemoradiotherapy regimens and underwent surgical resection. Histological response to this therapy was assessed in surgically resected specimens. The serum soluble interleukin‐6 receptor (sIL6R) level was significantly higher in 30 patients who failed to achieve a histological complete response (P = 0.005). Multivariate analysis revealed that the increased level of sIL6R was one of several significant independent predictors of an unfavorable outcome (hazard ratio, 2.87; P = 0.017). The increased level of this cytokine in patients who did not obtain a complete response was reproducibly observed in an independent cohort of 34 patients. Esophageal squamous cell carcinoma patients with an increased serum level of sIL6R are predicted to respond poorly to preoperative chemoradiotherapy, therefore, their exclusion from this treatment may be considered. Persistent systemic inflammation is implicated as a possible mechanism of resistance to this therapy.
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