Predictive Impact of Prognostic Nutritional Index in Patients with Cancer Treated with Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis.

A few previous studies have investigated the prognostic value of the prognostic nutritional index (PNI) in patients treated with immune checkpoint inhibitors (ICIs); however, the results are inconsistent. Therefore, this study aimed to clarify the prognostic significance of PNI. The PubMed, Embase, and Cochrane Library databases were searched. A meta-analysis of the impact of PNI on overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), and rate of adverse events (AEs) in patients treated with ICIs was performed. Twenty-three studies involving 2,386 patients were included. Low PNI was associated with significantly poor OS (hazard ratio [HR] = 2.26, 95% confidence interval [CI]: 1.81-2.82, P < .001) and short PFS (HR = 1.75, 95% CI: 1.54-1.99, P < .001). Patients with low PNI tended to have a low ORR (odds ratio [OR] = 0.47, 95% CI: 0.34-0.65, P < .001) and DCR (OR = 0.43, 95% CI: 0.34-0.56, P < .001). However, the subgroup analysis demonstrated no significant association between PNI and survival time in patients receiving a programmed death ligand-1 inhibitor. PNI was significantly associated with survival time and treatment efficacy in patients treated with ICIs.

The roles of spatial pattern and size variation in shaping height inequality of plant population.

Game-theoretic models predict that there is an ESS height for the plant population to which all individual plants should converge. To attain this conclusion, the neighborhood factors were assumed to be equal for all the individual plants, and the spatial pattern and size variation of population were left without consideration, which is clearly not right for the scenario of plant competition. We constructed a spatially-explicit, individual-based model to explore the impacts of spatial structure and size variation on individual plant's height and population's height hierarchies under the light competition. The monomorphic equilibrium of height that all the individual plants will converge to only exists for a population growing in a strictly uniform spatial pattern with no size variation. When the spatial pattern of the population is non-uniform or there's size variation among individual plants, the critical heights that individual plants will finally reach are different from each other, and the height inequality at the end of population growth will increase when the population's spatial pattern's degree of deviation from uniform and population's size variation increase. Our results argue strongly for the importance of spatial pattern and neighborhood effects in generating the diversity of population's height growth pattern.

Causal roles of gut microbiota in cholangiocarcinoma etiology suggested by genetic study.

BACKGROUND: Cholangiocarcinoma (CCA) is a highly malignant biliary tract cancer with poor prognosis. Previous studies have implicated the gut microbiota in CCA, but evidence for causal mechanisms is lacking. AIM: To investigate the causal relationship between gut microbiota and CCA risk. METHODS: We performed a two-sample mendelian randomization study to evaluate potential causal associations between gut microbiota and CCA risk using genome-wide association study summary statistics for 196 gut microbial taxa and CCA. Genetic variants were used as instrumental variables. Multiple sensitivity analyses assessed result robustness. RESULTS: Fifteen gut microbial taxa showed significant causal associations with CCA risk. Higher genetically predicted abundance of genus Eubacteriumnodatum group, genus Ruminococcustorques group, genus Coprococcus, genus Dorea, and phylum Actinobacteria were associated with reduced risk of gallbladder cancer and extrahepatic CCA. Increased intrahepatic CCA risk was associated with higher abundance of family Veillonellaceae, genus Alistipes, order Enterobacteriales, and phylum Firmicutes. Protective effects against CCA were suggested for genus Collinsella, genus Eisenbergiella, genus Anaerostipes, genus Paraprevotella, genus Parasutterella, and phylum Verrucomicrobia. Sensitivity analyses indicated these findings were reliable without pleiotropy. CONCLUSION: This pioneering study provides novel evidence that specific gut microbiota may play causal roles in CCA risk. Further experimental validation of these candidate microbes is warranted to consolidate causality and mechanisms.

Prognostic values of the prognostic nutritional index, geriatric nutritional risk index, and systemic inflammatory indexes in patients with stage IIB-III cervical cancer receiving radiotherapy.

Background: Growing evidence suggests that nutritional status and inflammation are associated with survival in various cancers. This study aimed to evaluate the prognostic value of the prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and systemic inflammatory indexes (neutrophil/lymphocyte ratio [NLR], monocyte/lymphocyte ratio [MLR], and platelet/lymphocyte ratio [PLR]) in patients with stage IIB-III cervical cancer receiving radiotherapy. Results: The ideal cutoff values for the PNI, GNRI, NLR, MLR, and PLR were 48.3, 97.04, 2.8, 0.41, and 186.67, respectively. Low PNI and GNRI scores were associated with poor OS and PFS. High NLR, MLR, and PLR also predicted inferior 5-year OS and PFS rates in patients with stage IIB-III cervical cancer. Multivariate Cox regression analysis identified tumor size, histological type, stage, number of metastatic lymph nodes, PNI, GNRI, NLR, PLR, and MLR as significant prognostic factors for OS and PFS. Conclusions: The current findings suggest that the PNI, GNRI, NLR, PLR, and MLR are essential parameters for predicting prognosis in patients with stage IIB-III cervical cancer receiving radiotherapy.

Chinese medicine for outcomes in colorectal cancer patients: A retrospective clinical study.

OBJECTIVE: To investigate the effect of Chinese medicine (CM) on survival of patients with stage II and III colorectal cancer (CRC). METHODS: A total of 295 patients who received chemotherapy were assigned to Group 1. The other 171 patients received the same chemotherapy treatment combined with the usage of CM Jianpi Jiedu Formula (, JPJD) for more than 3 months (Group 2). Patients' survival time, relapse and metastasis, and cause of death were observed. Cox proportional hazard regression models were established for the analysis of the effect of independent factors on the survival prognosis of patients with CRC. RESULTS: The survival rate of patients in Group 2 was higher than that of Group 1 (P<0.05). Compared with Group 1, the mean survival time was prolonged by 5.594 months and the median survival time was prolonged by 6 months in Group 2 (P=0.004). Cox regression analysis indicated that CM combined with chemotherapy provided signifificant protective effect, as observed with the improvements in the survival rates of CRC patients (P<0.01). CONCLUSION: CM can improve the survival rate in patients with stage II and III CRC.