Survival benefits of para-aortic lymphadenectomy in colorectal cancer with clinically suspected para-aortic lymph node metastasis: a meta-analysis and systematic review.

BACKGROUND AND OBJECTIVES: In patients with colorectal cancer and clinically suspected para-aortic lymph node metastasis, the survival benefit of para-aortic lymphadenectomy is unknown. We conducted a meta-analysis and systematic review to investigate it. METHODS: PubMed, Web of Science, and EMBASE were searched until January 2000 to April 2022 to identify studies reporting overall survivals, complication rates, and hazard ratios of prognostic factors in patients with colorectal cancer undergoing para-aortic lymphadenectomy, and those data were pooled. RESULTS: Twenty retrospective studies (1021 patients undergoing para-aortic lymphadenectomy) met the inclusion criteria. Meta-analysis indicates that participants undergoing para-aortic lymphadenectomy were associated with 5-year survival benefit, compared to those not receiving para-aortic lymphadenectomy (odds ratio = 3.73, 95% confidence interval: 2.05-6.78), but there was no significant difference in complication rate (odds ratio = 0.97, 95% confidence interval: 0.46-2.08). Further analysis of para-aortic lymphadenectomy group showed that 5-year survival of the positive group with pathologically para-aortic lymph node metastasis was lower than that of the negative group (odds ratio = 0.19, 95% confidence interval: 0.11-0.31). Moreover, complete resection (odds ratio = 5.26, 95% confidence interval: 2.02-13.69), para-aortic lymph node metastasis (≤4) (hazard ratio = 1.88, 95% confidence interval: 0.97-3.62), and medium-high differentiation (hazard ratio = 2.98, 95% confidence interval: 1.48-5.99) were protective factors for survival. Preoperative extra-retroperitoneal metastasis was associated with poorer relapse-free survival (hazard ratio = 1.85, 95% confidence interval: 1.10-3.10). CONCLUSION: Para-aortic lymphadenectomy had promising clinical efficacy in prolonging survival rather than complication rate in patients with colorectal cancer and clinically diagnostic para-aortic lymph node metastasis. Further prospective studies should be performed. TRIAL REGISTRATION: PROSPERO: CRD42022379276.

[Analysis of medication characteristics of traditional Chinese medicine in treating COVID-19 based on data mining].

OBJECTIVE: To analysis the medication characteristics of the prescriptions issued via open channel by the National and Provincial Health Committee and the State Administration of Traditional Chinese Medicine in treating coronavirus disease 2019 (COVID-19). METHODS: We collected the data of traditional Chinese medicine related to treatment plans published by the National and Provincial Health Committee and the State Administration of Traditional Chinese Medicine from the start of COVID-19 outbreak to February 19, 2020. The frequency analysis, cluster analysis and association analysis were performed. RESULTS: The study collected 4 national and 34 regional prevention and treatment plans, 578 items, 84 traditional Chinese formulations, 60 Chinese patent medicines, and 230 Chinese herbs. The high frequently used herbs were Liquorice, Scutellariabaicalensis, Semen armeniacaeamarae, and Gypsum. The commonly used traditional formulations included Maxing Shigan decoction, Yin Qiao powder, and Xuanbai Chengqi decoction. The Chinese patent drugs included Angong Niuhuang pill, Xuebijing injection, and Lianhua Qingwen capsule. The most common paired medications were Ephedra and Semen armeniacaeamarae, Fructusforsythiae and Liquorice. Two core combinations and one novel formula were discovered in the study. CONCLUSIONS: Yin Qiao powder and Huopo Xialing decoction are the basic formulations for Weifen syndrome of COVID-19. In addition, Maxing Shigan decoction, Liang Ge powder, Qingwen Baidu decoction and Da Yuan decoction are the basic formulations for Qifen syndrome of COVID-19. The main medication characteristics are clearing heat, entilating lung, removing toxicity and removing turbidity. It shows that removing toxicity and eliminating evil are the prescription thought in treating epidemic disease of traditional Chinese medicine.

[Clinical analysis of liver transplantation for autoimmune hepatitis].

OBJECTIVE: To describe the outcomes and recurrence of autoimmune hepatitis (AIH) after liver transplantation. METHODS: Clinical data of 16 patients with AIH who underwent liver transplantation were analyzed retrospectively. The postoperative cumulative survival rate of the patients was calculated. The postoperative rejections and AIH recurrence were analyzed. The Kaplan-Meier method was used for statistical analysis of survival. RESULTS: All patients were female, with an average age of 52.6 years (range: 41-66 years), and an average MELD score of 21.4. According serological analysis, 15 patients were AIH type 1 and 1 patient was AIH type 2. Three patients died, including 2 of pulmonary infection and 1 of graft dysfunction.The 1-, 2-and 5-year cumulative survival rates were 93.8%, 87.1% and 79.1%, respectively. Five cases (31.3%) of recurrent AIH were diagnosed based on histological evidence. Acute rejection occurred in 6 (37.5%) patients, and de novo HBV infection occurred in 1 (6.3%) patient. CONCLUSION: Liver transplantation is an effective treatment for end-stage AIH. Recurrence and rejection were commonly associated with AIH, but did not negatively impact patient survival.

Application of immune checkpoint inhibitors in immunotherapy for gastric cancer.

Gastric cancer is the fifth most common cancer worldwide. With the development of immunotherapy, especially the application of immune checkpoint inhibitors (ICIs), the prognosis of advanced gastric cancer has improved. At present, ICIs combined with other therapies or dual ICI strategies in the treatment of advanced gastric cancer have shown clinical effectiveness and controllable safety. In addition, predictive biomarkers facilitate the precise selection of patients. Therefore, it is crucial to explore rational combinations and reliable predictive biomarkers for ICI therapy. This article reviews the recent advances in ICIs and relevant predictive biomarkers in the treatment of gastric cancer.

In recent years, with the application of immunotherapy, clinical efficacy in gastric cancer has been effectively improved. At present, it is encouraging that immunotherapy combined with chemotherapy has become the first choice for the treatment of patients with advanced gastric cancer. However, researchers remain committed to exploring the efficacy of immunotherapy in combination with various therapies. Equally important, the identification of biomarkers can facilitate the selection of patients suitable for immunotherapy. This article summarizes important immunotherapy clinical trials and discusses therapeutic combinations and biomarkers being explored.

The Expression of PPAR Pathway-Related Genes Can Better Predict the Prognosis of Patients with Colon Adenocarcinoma.

The postoperative survival time and quality of life of patients with colon adenocarcinoma (COAD) varies widely. In order to make accurate decisions after surgery, clinicians need to distinguish patients with different prognostic trends. However, we still lack effective methods to predict the prognosis of COAD patients. Accumulated evidences indicated that the inhibition of peroxisome proliferator-activated receptors (PPARs) and a portion of their target genes were associated with the development of COAD. Our study found that the expression of several PPAR pathway-related genes were linked to the prognosis of COAD patients. Therefore, we developed a scoring system (named PPAR-Riskscore) that can predict patients' outcomes. PPAR-Riskscore was constructed by univariate Cox regression based on the expression of 4 genes (NR1D1, ILK, TNFRSF1A, and REN) in tumor tissues. Compared to typical TNM grading systems, PPAR-Riskscore has better predictive accuracy and sensitivity. The reliability of the system was tested on six external validation datasets. Furthermore, PPAR-Riskscore was able to evaluate the immune cell infiltration and chemotherapy sensitivity of each tumor sample. We also combined PPAR-Riskscore and clinical features to create a nomogram with greater clinical utility. The nomogram can help clinicians make precise treatment decisions regarding the possible long-term survival of patients after surgery.

Dual isotopes of nitrite in the Amundsen Sea in summer.

Nitrite (NO2-) is a key intermediate in the nitrogen (N) cycle, and its transformation is accomplished by microbial communities. However, due to few studies on the nitrite cycle, a clear assessment of the contribution to the marine biogeochemical cycle is missing. Here, we present data on nitrogen and oxygen isotopic composition of NO2- in the Amundsen Sea in summer, and explore the biogeochemical processes that influence the NO2- cycle. Extremely low δ15NNO2 and abnormally high δ18ONO2 were found in the upper waters of the Amundsen Sea, with δ15NNO2 as low as -58.4 ‰ and δ18ONO2 as high as 44.4 ‰. Enzymatic isotopic exchange reactions between nitrate and nitrite have been proposed to be responsible for these isotopic anomalies. The mirror-symmetrical variation between δ15NNO2 and δ18ONO2 suggests that the isotopic fractionation effects of nitrogen and oxygen are opposite in isotope exchange reactions. Dual isotopes of nitrite indicate that ammonia oxidation is the main source of nitrite, thus nitrification plays an important role in the formation of primary nitrite maximum in the upper Amundsen Sea. The nitrogen and oxygen isotopic compositions of nitrite provide support for clarifying multiple processes of marine nitrogen cycle.