The colorectal-cancer (CRC) incidence rate and mortality have remained high for several years. In recent years, immune-checkpoint-inhibitor (ICI) therapy has rapidly developed. However, it is only effective in a few CRC patients with microsatellite-instability-high (MSI-H) or mismatch-repair-deficient (dMMR) CRC. How to improve the efficiency of ICI therapy in CRC patients with microsatellite stability (MSS) remains a huge obstacle. Tumor-associated neutrophils (TANs), which are similar to macrophages, also have N₁ and N₂ phenotypes. They can be recruited and polarized through different cytokines or chemokines, and then play an antitumor or tumor-promoting role. In CRC, we find that the prognostic significance of TANs is still controversial. In this review, we describe the antitumor regulation of TANs, and their mechanism of promoting tumor progression by boosting the transformation of inflammation into tumors, facilitating tumor-cell proliferation, metastasis and angiogenesis. The targeting of TANs combined with ICIs may be a new treatment model for CRC. Relevant animal experiments have shown good responses, and clinical trials have also been carried out in succession. TANs, as “assistants” of ICI treatment, may become the key to the success of CRC immunotherapy, although no significant results have been obtained.

Background. Nomograms were established to predict the survival for gastric signet ring cell carcinoma (GSRC) in young and middle‐aged adults. Material and Methods. Eligible patients with GSRC from 2004 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database and then divided into a training and a testing cohort in proportion. Independent prognostic factors were picked by univariate and multivariate Cox regression analysis to set up nomograms. The predictive effect and clinical value of nomograms were evaluated by the concordance index (C‐index), calibration curves, and receiver operating characteristic curve (ROC). Results. A total of 1686 GSRC patients were subsumed into this case for analysis, including a training (n = 1180) and a testing cohort (n = 506). Independent risk factors related to overall survival (OS) and cancer‐specific survival (CSS) comprised of race, TNM stage, tumor size, number of positive lymph nodes (PLNE), and chemotherapy. For OS, the C‐indexes of the training and testing cohorts were 0.737 and 0.752, while for CSS, C‐indexes were, respectively, 0.749 and 0.751. These revealed that nomograms accurately predicted OS and CSS. Calibration curves and ROC demonstrated the apparent superiority of nomograms. Conclusion. We built a well‐understood and comprehensive prognostic assessment model for GSRC, which provided an individualized survival prediction in the form of a quantitative score that can be considered for clinical practice.

Objective: This research aims to improve the bioavailability and anti-hepatocellular carcinoma (HCC) efficacy of Ginsenoside Rg3 by modification with poly (lactic acid hydroxyacetic acid)-poly(ethylene glycol) (PLGA-PEG). Methods: PLGA-PEG-Rg3 was obtained by emulsification and evaluated it physiochemical characterization by FTIR, SEM, laser particle-size analyzer and HPLC. The effect of the PLGA-PEG-Rg3 and Rg3 on HepG2 cells was compared in vitro studies, including cell proliferation, transwell and a series of apoptosis detection, and in-situ HCC model. Results: The PLGA-PEG-Rg3 were 122 nm in size and 0.112 in polydispersity index with sustained release profile in vitro. Compared to Rg3, PLGA-PEG-Rg3 was more effective in suppressing HepG2 growth and inducing apoptosis by the mitochondrial apoptosis pathway in vitro. And PLGA-PEG modification enhanced the liver-targeting ability and drug circulation time of Rg3 in vivo, resulting in PLGA-PEG-Rg3 possessing superior performance in inhibiting tumor growth and prolonging the survival time of tumor-bearing mice than Rg3. Conclusions: Overall, these results showed PLGA-PEG-Rg3 enhanced the anti-tumor effect of Rg3 in HCC.

Background. The lncRNA taurine upregulated gene 1 (TUG1) is a recently identified potential biomarker in cancer. However, its prognostic role in various cancers is inconsistent among published data. We conducted this meta-analysis to comprehensively confirm the prognostic effect of TUG1 in malignant tumors. Methods. We systemically analyzed the prognostic-predictive capacity of TUG1 through amplifying sample sizes and cancer types. STATA 12.0 was applied for this meta-analysis. Results. A total of 57 eligible studies were included in our meta-analysis. The pooled results suggested that overexpression of TUG1 was significantly correlated with unfavorable overall survival (OS) ( , ), shorter recurrence-free survival (RFS) ( , ), and shorter event-free survival (EFS) ( , ) in patients with cancer. In the subgroup analysis by cancer type, elevated TUG1 expression was associated with poorer survival in patients with gastrointestinal cancer, urinary tumors, gynecological tumors, hematological tumors, and osteosarcoma. However, high expression of TUG1 in respiratory tumors indicated a better prognosis. There was no correlation between high TUG1 expression and OS in patients with head and neck neoplasms or melanoma. Additionally, overexpression of TUG1 was found to be correlated with low-grade tumor differentiation, advanced tumor stage, positive lymphatic metastasis, and positive distant metastasis. Conclusions. High TUG1 expression correlates with poor prognosis and advanced clinicopathological features, verifying the prognostic-predictive capacity of TUG1 in tumors, especially in gastrointestinal cancer, urinary tumors, gynecological tumors, hematological tumors, and osteosarcoma. Meanwhile, the prognostic role of TUG1 in respiratory tumor may be opposite to other tumors.