A prognostic model of non small cell lung cancer based on TCGA and ImmPort databases

Bioinformatics methods are used to construct an immune gene prognosis assessment model for patients with non-small cell lung cancer (NSCLC), and to screen biomarkers that affect the occurrence and prognosis of NSCLC. The transcriptomic data and clinicopathological data of NSCLC and cancer-adjacent normal tissues were downloaded from the Cancer Genome Atlas (TCGA) database and the immune-related genes were obtained from the IMMPORT database (http://www.immport.org/); then, the differentially expressed immune genes were screened out. Based on these genes, an immune gene prognosis model was constructed. The Cox proportional hazards regression model was used for univariate and multivariate analyses. Further, the correlations among the risk score, clinicopathological characteristics, tumor microenvironment, and the prognosis of NSCLC were analyzed. A total of 193 differentially expressed immune genes related to NSCLC were screened based on the "wilcox.test" in R language, and Cox single factor analysis showed that 19 differentially expressed immune genes were associated with the prognosis of NSCLC (P < 0.05). After including 19 differentially expressed immune genes with P < 0.05 into the Cox multivariate analysis, an immune gene prognosis model of NSCLC was constructed (it included 13 differentially expressed immune genes). Based on the risk score, the samples were divided into the high-risk and low-risk groups. The Kaplan–Meier survival curve results showed that the 5-year overall survival rate in the high-risk group was 32.4%, and the 5-year overall survival rate in the low-risk group was 53.7%. The receiver operating characteristic model curve confirmed that the prediction model had a certain accuracy (AUC = 0.673). After incorporating multiple variables into the Cox regression analysis, the results showed that the immune gene prognostic risk score was an independent predictor of the prognosis of NSCLC patients. There was a certain correlation between the risk score and degree of neutrophil infiltration in the tumor microenvironment. The NSCLC immune gene prognosis assessment model was constructed based on bioinformatics methods, and it can be used to calculate the prognostic risk score of NSCLC patients. Further, this model is expected to provide help for clinical judgment of the prognosis of NSCLC patients.

The Survival Rate of Extremely Low Birth Weight Infants Improved in Guangdong Province, China

Background With the increase in extremely low birth weight (ELBW) infants, their outcomes received special attention. However, in China, studies of the outcomes of ELBW infants are rare. Methods The hospitalized records of ELBW infants discharged from twenty-six neonatal intensive care units were reviewed and analyzed. Results A total of 2575 ELBW infants were enrolled and the overall survival rate was 55.11%. From 2008 to 2017, the number of ELBW infants increased rapidly from 91 to 466, and the survival rate improved steadily from 41.76–62.02%. The survival rate rose with increasing BW, the ascending level of regional economic development and specialist hospitals. The incidence of complications was neonatal respiratory distress syndrome (85.2%), bronchopulmonary dysplasia (63.7%), retinopathy of prematurity (39.3%), intraventricular hemorrhage (29.4%), necrotizing enterocolitis (12.0%), and periventricular leukomalacia (8.0%). Among the 1156 nonsurvivors, 90.0% of infants died during the neonatal period (≤ 28 days), and the other died after the neonatal period. A total of 768 ELBW infants died after medical care withdrawal, with economic factors and expected outcome being important causes. Conclusion The number of ELBW infants is increasing in China, and the overall survival rate is still low but is improving steadily.

Outcome of Preterm Admissions at the Neonatal Unit of a Tertiary Care Military Hospital of Bangladesh

Introduction: Preterm deliveries contribute to major morbidity and mortality in developing countries. They are a leading cause of admission in neonatal care units. It is a major hindrance to the attainment of the Sustainable Development Goal (SDG)-3 targets given its high contribution to neonatal mortality. Early detection of its risk factors and advances in the management have ensured better survival of preterm births. This study was conducted to determine the prevalence, underlying causes, morbidity patterns and outcome of preterm admissions to a neonatal intensive care unit (NICU) of a tertiary care center in Combined Military Hospital (CMH) Sylhet. Material and Methods: A descriptive study was conducted in CMH Sylhet from July 2018 to June 2020. All live preterm babies delivered at CMH Sylhet during the study period were included. Information obtained included gestational age at birth, gender, cause for preterm birth, problems during admission and outcome. Results: During this period, a total of 662 neonates were admitted out of which 107 (16.2%) were preterm with gestational ages ranging from 27 completed weeks to less than 37 completed weeks with a mean gestational age 33.2 weeks (± 2.7 weeks) and birth weights from 800 - 2600 gm with a mean of 2100 gm (± 700 gm). There were 52 males and 55 females (M: F 0.95). One hundred and thirty three (20.1%) were delivered by normal vaginal delivery while 529 (79.9%) were delivered by Caesarean section. The duration of hospital stay ranged from 1 - 45 days, with a mean duration of 15 days (± 9.2 days). The commonest reason for prematurity was premature rupture of membrane (PROM) (39.3%) followed by gestational diabetes mellitus (GDM) (35.5%), hypertensive disorders in pregnancy (30.8%), multiple pregnancy (29.9%) and inadequate ante natal care (ANC) (20.6%). The commonest morbidity in the patients in the present study was neonatal jaundice (90.7%) followed by respiratory problems (78.5%), sepsis (17.8%) and congenital heart disease (CHD) (15.9%). Case fatality rate for patients with respiratory distress syndrome (7.7%) and sepsis (5.3%) were common. Overall survival rate was 91.6% and was significantly (p <0.001) higher in the moderate to late preterm category compared to the very preterm and extremely preterm births. Conclusion: PROM, GDM, hypertensive disorders in pregnancy, multiple pregnancy and inadequate ante natal care were significantly associated with preterm birth. Neonatal jaundice, respiratory problems, sepsis and CHD were common morbidities observed. Case fatality rate was significant in neonates with respiratory distress syndrome and sepsis and overall survival rate was 91.6%. So, at-risk mothers should receive intensified antenatal care to mitigate preterm birth. J Bangladesh Coll Phys Surg 2022; 40: 39-44

Robotic-Assisted vs. Standard Laparoscopic Surgery for Rectal Cancer Resection: A Systematic Review and Meta-Analysis of 19,731 Patients

Robotic-assisted surgery is expected to have advantages over standard laparoscopic approach in patients undergoing curative surgery for rectal cancer. PubMed, Cochrane Library, Web of Science, Scopus and Google Scholar were searched from database inception to November 10th, 2021, for both RCTs and observational studies comparing robotic-assisted versus standard laparoscopic surgery for rectal cancer resection. Where possible, data were pooled using random effects meta-analysis. Forty-Two were considered eligible for the meta-analysis. Survival to hospital discharge or 30-day overall survival rate was 99.6% for RG and 98.8% for LG (OR = 2.10; 95% CI: 1.00 to 4.43; p = 0.05). Time to first flatus in the RG group was2.5 ± 1.4 days and was statistically significantly shorter than in LG group (2.9 ± 2.0 days; MD=-0.34; 95%CI: −0.65 to 0.03; p = 0.03). In the case of time to a liquid diet, solid diet and bowel movement, the analysis showed no statistically significant differences (p > 0.05). Length of hospital stay in the RG vs LG group varied and amounted to 8.0 ± 5.3 vs 9.5 ± 10.0 days (MD = −2.01; 95%CI: −2.90 to −1.11; p < 0.001). Overall, 30-days complications in the RG and LG groups were 27.2% and 19.0% (OR = 1.11; 95%CI: 0.80 to 1.55; p = 0.53), respectively. In summary, robotic-assisted techniques provide several advantages over laparoscopic techniques in reducing operative time, significantly lowering conversion of the procedure to open surgery, shortening the duration of hospital stay, lowering the risk of urinary retention, improving survival to hospital discharge or 30-day overall survival rate.

Decreased Expression of KPNA2 in Hepatocellular Carcinoma Infers Favorable Prognosis and High Immune Infiltrating Level

BackgroundLiver hepatocellular carcinoma (LIHC) is an important pathological type of liver cancer. The immune infiltration of the tumor microenvironment is negatively correlated with the overall survival rate of LIHC. At present , the role and molecular mechanism of KPNA2 in LIHC have not been elucidated, and the prognostic correlation between the two and the immune infiltration of LIHC are still unclear. Our study evaluated the role of KPNA2 in LIHC through TCGA data.MethodGene expression profiling interactive analysis (GEPIA) is used to analyze the expression of KPNA2 in LIHC. We evaluated the impact of KPNA2 on the survival of LIHC patients through the survival module. Then, We downloaded the LIHC data set from TCGA. Logistic regression was used to analyze the correlation between clinical information and KPNA2 expression. Cox regression analysis was used to analyze the clinicopathological characteristics related to the overall survival rate of TCGA patients. In addition, we used the "correlation" modules of CIBERSORT and GEPIA to explore the correlation between KPNA2 and cancer immune infiltrate. Western blotting was used to detect the expression of KPNA2.ResultUsing logistic regression for univariate analysis, increased KPNA2 expression was significantly correlated with pathological stage, tumor status, and lymph node status. In addition, multivariate analysis showed that down-regulation of KPNA2 expression, negative pathological stage and distant metastasis are independent prognostic factors for good prognosis. Specifically, CIBERSORT analysis was used to establish a negative correlation between the up-regulated expression of KPNA2 and the level of immune infiltration of B cells, NK cells, mast cells, and T cells. In addition, we confirmed this in the "Association" module of GEPIA. The expression of KPNA2 in LIHC tissues was significantly lower than that in adjacent normal tissues by western blotting.ConclusionThe down-regulation of KPNA2 expression is associated with a good prognosis and an increase in the proportion of immune cells in LIHC. These conclusions indicate that KPNA2 is related to the level of immune infiltration of LIHC and can be used as a potential prognostic biomarker of LIHC and a potential target for clinical tumor treatment.

Microbiome—Friend or Foe of Pancreatic Cancer?

Pancreatic ductal adenocarcinoma is one of the deadliest human neoplasms. Despite the development of new surgical and adjuvant therapies, the prognosis remains very poor, with the overall survival rate not exceeding 9%. There is now increasing evidence that the human microbiome, which is involved in many physiological functions, including the regulation of metabolic processes and the modulation of the immune system, is possibly linked to pancreatic oncogenesis. However, the exact mechanisms of action are poorly understood. Our review summarizes the current understanding of how the microbiome affects pancreatic cancer development and progression. We discuss potential pathways of microbe translocation to the pancreas, as well as the mechanism of their action. We describe the role of the microbiome as a potential marker of pancreatic cancer diagnosis, progression, and survival. Finally, we discuss the possibilities of modifying the microbiome to improve treatment effectiveness for this deadly disease.

Mesenchymal stem cell therapy in decompensated liver cirrhosis: a long-term follow-up analysis of the randomized controlled clinical trial

Background Mesenchymal stem cell (MSC) infusion was reported to improve liver function in patients with decompensated liver cirrhosis (DLC); however, whether the medication can improve outcome of these patients is poorly understood. Methods This prospective, open-labeled, randomized controlled study enrolled 219 patients with HBV-related DLC who were divided into control group (n = 111) and umbilical cord-derived MSC (UC-MSC)-treated group (n = 108), then all of them received a follow-up check from October 2010 to October 2017. The treated patients received three times of UC-MSC infusions at 4-week intervals plus conventional treatment that was only used for control group. The overall survival rate and HCC-free survival rate were calculated as primary endpoints and the liver function and adverse events associated with the medication were also evaluated. Results During the follow-up check period from 13 to 75th months, there was a significantly higher overall survival rate in the treated group than the control group, while the difference of the hepatocellular carcinoma event-free survival rate between the treated and control groups was not observed during the 75-month follow-up. UC-MSC treatment markedly improved liver function, as indicated by the levels of serum albumin, prothrombin activity, cholinesterase, and total bilirubin during 48 weeks of follow-up. No significant side effects or treatment-related complications were observed in the UC-MSC group. Conclusions Therapy of UC-MSC is not only well tolerated, but also significantly improves long-term survival rate, as well as the liver function in patients with HBV-related DLC. UC-MSC medication, therefore, might present a novel therapeutic approach for the disease. Graphic abstract

Treatments for the early stage Hepatocellular Carcinoma: Laparoscopic Liver Resection or Percutaneous Radiofrequency, How to make the decision?

Hepatectomy is still as the first-line treatment for the early stage HCC, but the complication rate is higher than p-RFA and the overall survival rate is comparable in these two treatments. Therefore, the patients with small single nodular HCCs could get more benefit from p-RFA, and we need to do further research about p-RFA.

The survival rate of extremely low birth weight infants improved in Guangdong Province, China

Background With the increase in extremely low birth weight (ELBW) infants, their outcomes received special attention. However, in China, studies of the outcomes of ELBW infants are rare. Methods The hospitalized records of ELBW infants discharged from twenty-six neonatal intensive care units were reviewed and analyzed. Results A total of 2575 ELBW infants were enrolled and the overall survival rate was 55.11%. From 2008 to 2017, the number of ELBW infants increased rapidly from 91 to 466, and the survival rate improved steadily from 41.76–62.02%. The survival rate rose with increasing BW, the ascending level of regional economic development and specialist hospitals. The incidence of complications was neonatal respiratory distress syndrome (85.2%), bronchopulmonary dysplasia (63.7%), retinopathy of prematurity (39.3%), intraventricular hemorrhage (29.4%), necrotizing enterocolitis (12.0%), and periventricular leukomalacia (8.0%). Among the 1156 nonsurvivors, 90.0% of infants died during the neonatal period (≤ 28 days), and the other died after the neonatal period. A total of 768 ELBW infants died after medical care withdrawal, with economic factors and expected outcome being important causes. Conclusion The number of ELBW infants is increasing in China, and the overall survival rate is still low but is improving steadily.