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1.
Updates Surg ; 75(8): 2211-2223, 2023 Dec.
Article in English | MEDLINE | ID: mdl-38001388

ABSTRACT

To compare the oncological survival outcomes of partial colectomy (PC) and hemicolectomy (HC) in patients with stage II colon cancer. A total of 18,795 patients with stage II colon cancer who underwent hemicolectomy (n = 12,022) or partial colectomy (n = 6773) from 2010 to 2019 were included in the the Surveillance, Epidemiology, and End Results (SEER) database. Overall survival (OS) and cancer-specific survival (CSS) were compared between the two groups, and the threshold of harvested lymph nodes was determined. The results showed that age, gender, race, tumor site, scope of regional lymph nodes, postoperative chemotherapy, postoperative radiotherapy, harvested lymph nodes, and tumor size were significantly different between the PC and HC groups (all P < 0.05). The OS rate was slightly lower in hemicolectomy patients than in partial colectomy patients (69.9% vs. 74.5%, respectively, P < 0.001), but CSS was similar between the two groups (87.9% vs. 88.1%, respectively, P = 0.32). After propensity score matching (PSM) was performed, the OS and CSS rates in the two groups were significantly different (CSS 84.3% vs. 88.0%, P < 0.001; OS 62.2% vs. 72.5%, P < 0.001). The survminer R package determined that the optimum threshold for the harvested lymph node count in stage II colon cancer patients was 16. CSS was significantly different between patients with ≥ 12 lymph nodes harvested and patients with ≥ 16 lymph nodes harvested (P = 0.043). Univariate and multivariate Cox regression and survival analyses of stage II colon cancer patients showed that the survival benefit of stage II colon cancer patients receiving partial colectomy was superior to that of patients receiving hemicolectomy. Partial colectomy has significant oncological benefits over hemicolectomy in the treatment of stage II colon cancer patients, even in the case of pT4b or tumor deposits. Removal of 16 lymph nodes during colectomy for stage II colon cancer correlated with improved survival, and this threshold was more effective than the standard threshold of 12 lymph nodes in distinguishing between patients with good and poor prognoses.


Subject(s)
Colonic Neoplasms , Lymph Nodes , Humans , Neoplasm Staging , Retrospective Studies , Lymph Nodes/surgery , Lymph Nodes/pathology , Lymph Node Excision/methods , Colectomy/methods , Treatment Outcome
2.
Updates Surg ; 75(8): 2085-2102, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37715053

ABSTRACT

To perform a network meta-analysis of the literature to assess the short-term and long-term outcomes of three operations for left colon and rectal cancer. Electronic literature searches were performed in the PubMed, Web of Science, EMBASE, and Cochrane Central Register of Controlled Trials databases up to August 2022. A Bayesian network meta-analysis using R software, ADDIS, and Review Manager 5.4 was conducted to compare outcomes of high ligation of the inferior mesenteric artery(IMA),low ligation of the IMA with D2 dissection (LLD2), and low ligation of the IMA with D3 dissection (LLD3). Sensitivity analysis was applied to investigate the influence of each primary study on the final result of the meta-analysis. Asymmetry of data was estimated by using Egger's tests. Publication bias corrected by trimming and filling method. A total of 44 studies, 5 randomized clinical trials (RCTs) and 39 non-RCTs, were included in this meta-analysis. HL was associated with a higher risk of anastomotic leakage (HL vs. LLD2, OR = 1.35, 95% CI 1.13-3.25, P = 0.001; HL vs. LLD3, OR = 1.65, 95% CI 1.35-2.01, P < 0.001), and required a longer postoperative hospital stay (HL vs. LLD3, SMD = 0.28, 95%CI 0.09-0.48, P = 0.01).However HL showed an advantage in terms of operation time(HL vs. LLD3, SMD = - 0.13, 95%CI - 0.26 to 0.01, P = 0.04). LLD3 is most likely to rank best in terms of short-term and long-term outcomes after surgery for left colon and rectal cancer. Caution should be taken in the risk of anastomotic leakage when treating colorectal cancer with LLD2. HL, LLD2 and LLD3 provide similar overall survival rates for left colon and rectal cancer.


Subject(s)
Laparoscopy , Rectal Neoplasms , Humans , Anastomotic Leak/surgery , Mesenteric Artery, Inferior/surgery , Network Meta-Analysis , Colon/surgery , Rectal Neoplasms/surgery , Ligation/methods , Laparoscopy/methods
3.
Asia Pac J Clin Oncol ; 19(2): e27-e38, 2023 Apr.
Article in English | MEDLINE | ID: mdl-35394683

ABSTRACT

MicroRNAs can regulate the transcription of protein-coding genes associated with the development and progression of cancer. In this study, we explored the potential diagnostic function of exosome miR-3184-5p in gastric cancer. This exosome was isolated from the blood samples of 150 patients with gastric cancer and 60 healthy participants. The mean particle size and concentration of serum exosome in the patients with gastric cancer were 104.6 nm (93.97-115.84) and 6.21e+009 particles/ml (5.15e+009-7.12e+009), respectively. miR-3184-5p expression was substantially downregulated in the patients with gastric cancer compared with that in the healthy participants. The gastric cancer cell line HGC-27 was cultured and transfected with the mimic and an inhibitor to overexpress and inhibit miR-3184-5p expression. miR-3184-5p strongly suppressed cell proliferation, migration, and invasion but induced cell apoptosis. Luciferase reporter assay revealed that XBP1 was the target of miR-3184-5p. miR-3184-5p substantially downregulated the expression of CD44, cyclin D1, MMP2, p65, p-AKT, and p-STAT3 but upregulated that of GRP78, IRE1, p-JNK, and CHOP. Moreover, miR-3184-5p cleaved caspase-12 and inhibited BCL-2 expression. These results suggested that the downregulation of miR-3184-5p in patients with gastric cancer might regulate the AKT, STAT3, and IRE1 pathways to promote the vitality of gastric cancer cells.


Subject(s)
Exosomes , MicroRNAs , Stomach Neoplasms , Humans , Apoptosis , Exosomes/metabolism , Gene Expression Regulation, Neoplastic , MicroRNAs/metabolism , Proto-Oncogene Proteins c-akt/genetics , Proto-Oncogene Proteins c-akt/metabolism , STAT3 Transcription Factor/genetics , STAT3 Transcription Factor/metabolism , Stomach Neoplasms/genetics , Stomach Neoplasms/metabolism , X-Box Binding Protein 1/genetics , X-Box Binding Protein 1/metabolism
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