Background Programmed cell death ligand 1 (PD-L1) expression has been shown to associate with poor prognosis in a variety of solid tumors. However, the prognostic value of PD-L1 expression in cervical cancer is still controversial. Therefore, we carried a meta-analysis to investigate the prognostic and clinicopathological impact of PD-L1 in cervical cancer. Methods A comprehensive literature search in was performed in PubMed, Embase, Web of Science, and Cochrane Library. The correlation between PD-L1 expression and overall survival (OS), progression-free survival (PFS), and clinicopathological features was analyzed by hazard ratios (HR), odds ratios (OR) and corresponding 95% confidence intervals (CI). Results Seven studies with 783 patients were included in this meta-analysis. The combined HR and 95% CI of OS was 2.52 (1.09–5.83), p = 0.031. The pooled results for PFS were HR = 2.07, 95% CI = 0.52–8.23, p = 0.302. The results of subgroup analysis showed that PD-L1 was a significant prognostic factor of poor OS in Asian patients (HR = 4.77, 95% CI = 3.02–7.54, p < 0.001) and of poor PFS in Asian patients (HR = 4.78, 95% CI = 1.77–12.91, p = 0.002). However, the pooled results suggested that PD-L1 was not significantly correlated with lymph node metastasis, tumor size, FIGO stage, depth of invasion, lymph-vascular invasion, or age. Conclusions The results of this meta-analysis suggest that PD-L1 overexpression is related to poor OS in patients with cervical cancer and poor PFS in Asian patients with cervical cancer. This study also suggests that PD-L1 is a promising prognostic indicator for cervical cancer.

Background Breast cancer (BC) is the most common cancer in women and the second leading cause of cancer‐related deaths among women worldwide. Single nucleotide polymorphisms (SNPs) in cytokine genes have been shown to alter their expressions or functions in patients with BC. In recent years, the molecular structure and function of IL‐1 have been studied. Its genetic polymorphism could affect the transcription and expression of the IL‐1 gene. Moreover, it is closely related to several diseases. This fact and plethora of gene polymorphism data prompted us to investigate the relationship between IL‐1 polymorphisms and IL‐1 protein expression in Chinese Han BC patients. Method In total, 298 patients with BC and 287 healthy control women were studied. The genetic polymorphisms for IL‐1 were analyzed by the MassARRAY sequencing method. Tumor markers and IL‐1β levels were measured by electrochemiluminescence and ELISA, respectively. All gene selection GRCh38 version. Results The rs1143623 (NC_000002.12:g.112838252C>G) (GC), rs16944 (NC_000002.12:g.112837290A>G)(AG), and rs10490571 (NC_000002.12:g.102100877C>T) (CC) SNPs were found to be significantly lower in the BC group than in the controls. The variant G/C genotype of rs1143623 was associated with a significantly increased risk for BC (OR = 2.34, p < 0.05). The alleles for rs16944 (A/G; OR = 3.15, p < 0.05) and rs10490571 (T/C; OR = 2.48, p < 0.05) were also significantly associated with BC. Moreover, the genotypes of rs1143623, rs16944, and rs10490571 were significantly correlated with serum IL‐1β levels and other tumor markers. Conclusion Our data reveal the association between genetic polymorphisms of IL‐1 and BC susceptibility in the Chinese Han population and indicates that IL‐1 polymorphisms are closely associated with tumor markers and IL‐1β protein expression in BC patients.

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Traditional chemotherapeutic drugs have shown limited clinical curative effects in antitumor therapy. The application of multidrug combination and adjuvant-drug carriers is a feasible strategy to overcome the limitations while minimizing the dosage of single drug and acquiring the synergistic effects in tumor therapy. However, the systemic toxicity, drug resistance, and tumor recurrence are still unavoidable. Here we develop core-shell nanoparticles (NPs) to encapsulate paclitaxel (PTX) and gemcitabine (GEM) for breast cancer therapy. We find that the NPs could encapsulate PTX and GEM, with an encapsulation efficiency of 96.3 and 95.13%, respectively. Moreover, the drug loading of these NPs is 2.71% (PTX) and 2.64% (GEM). Notably, the co-delivery of GEM and PTX performs enhanced anticancer effect compared with the PTX alone or GEM alone therapy at the same concentration, which indicates a synergistic effect. Moreover, encapsulation of PTX and GEM by methoxy poly(ethylene glycol)-poly(lactide-coglycolide) also shows enhanced anticancer effects (81.5% tumor inhibition) and reduced systemic toxicity in vivo compared with free drugs (65% tumor inhibition). Together with those results, co-delivery of PTX and GEM by methoxy poly(ethylene glycol)-poly(lactide-coglycolide) might have important potencies in clinical applications for breast cancer therapy.

Colorectal cancer (CRC) is a common and highly lethal gastrointestinal malignancy. Immunotherapy has shown positive efficacy in the treatment of CRC; however, only a minority of patients benefit from immunotherapy. The aim of this study is to construct a cuproptosis-related lncRNA (CRLs) risk score model to predict the prognosis and immune infiltration of CRC patients. Firstly, we synthetically analyzed 19 cuproptosis-related genes (CRGs) from CRC samples derived from the TCGA and obtained 33 CRLs that were significantly associated with prognosis. Next, we defined three cuproptosis modification patterns via consensus clustering analysis (C1, C2, and C3). Further analysis showed that there were significant differences in the abundance of B cells, NK cells, fibroblasts, monocytes, CD8+ cells, bone marrow dendritic cells, and cytotoxic lymphocytes in different clusters. In addition, the LASSO regression screened out 6 individual CRLs (AC009315.1, PLS3-AS1, ZEB1-AS1, AC007608.3, AC010789.2, and AC010207.1) closely related to the prognosis of CRC. We found that the low-risk group had better survival prognoses in patients. Furthermore, the high-risk group had lower immune scores and exhibited lower CD8+ T cell infiltration. Moreover, the low-risk group had lower immune exclusion, immune dysfunction and TIDE scores than the high-risk group. Interestingly, the lncRNAs in our risk model were positively associated with most immune checkpoints. CD274 (PD-L1), CTLA4, and HAVCR2 (TIM3) were positively correlated with risk scores. Moreover, MSI-H patients had lower risk scores than MSI-L patients, and IPS scores were significantly higher in the low CRLs score group. In conclusion, we constructed a novel risk score model with6 lncRNAs related to cuproptosis, which may be a potential biomarker for evaluating the prognosis and immune treatment for CRC.