不同体质量指数对腹腔镜结直肠癌切除术患者临床疗效和远期预后的影响

摘要 目的：研究不同体质量指数（BMI）对腹腔镜结直肠癌切除术患者临床疗效和远期预后的影响。方法：将从2014年1月～2016年1月于我院接受腹腔镜结直肠癌切除术治疗的110例患者纳入研究。将所有受试者根据BMI的差异分作正常组（18.6 kg/m²≦BMI<23.0 kg/m²）35例、超重组（23.0 kg/m²≦BMI<25.0 kg/m²）53例、肥胖组（BMI≧25.0 kg/m²）22例。分析三组患者各项基线资料,临床疗效,术后并发症发生情况,远期预后等方面的差异。结果：三组患者各项基线资料比较差异均不明显（均P＞0.05）。肥胖组手术时长为（268.01±36.14）min,均明显高于正常组、超重组的（211.73±30.56）min、（224.12±34.87）min（均P＜0.05）;三组术中失血量、肛门排气时间以及住院康复时间对比均不明显（均P＞0.05）。三组患者术后肺部感染、下肢静脉血栓、切口感染以及吻合口出血发生率对比均不明显（均P＞0.05）。正常组5年生存率为45.71%（16/35）,超重组5年生存率为47.17%（25/53）,肥胖组5年生存率为45.45%（10/22）,三组比较差异无统计学意义（均P＞0.05）。结论：不同BMI对腹腔镜结直肠癌切除术患者的手术时长具有一定影响,但和远期预后无关,值得临床重点关注。     

The role of YTH domain containing 2 in epigenetic modification and immune infiltration of pan-cancer

YTH domain containing 2 (YTHDC2) is the largest N6-Methyladenosine (m⁶A) binding protein of the YTH protein family and the only member containing ATP-dependent RNA helicase activity. For further analysing its biological role in epigenetic modification, we comprehensively explored YTHDC2 from gene expression, genetic alteration, protein-protein interaction (PPI) network, immune infiltration, diagnostic value and prognostic value in pan-cancer, using a series of databases and bioinformatic tools. We found that YTHDC2 with Missense mutation could cause a different prognosis in uterine corpus endometrial carcinoma (UCEC), and its different methylation level could lead to a totally various prognosis in adrenocortical carcinoma (ACC), cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), lung squamous cell carcinoma (LUSC) and UCEC. The main molecular mechanisms of YTHDC2 focused on catalytic activity, helicase activity, snRNA binding, spliceosome and mRNA surveillance. Additionally, YTHDC2 was notably correlated with tumour immune infiltration. Moreover, YTHDC2 had a high diagnostic value for seven cancer types and a prognostic value for brain lower grade glioma (LGG), rectum adenocarcinoma (READ) and skin cutaneous melanoma (SKCM). Collectively, YTHDC2 plays a significant role in epigenetic modification and immune infiltration and maybe a potential biomarker for diagnosis and prognosis in certain cancers.     

Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer

Head and neck squamous cell carcinoma (HNSCC) is a common malignancy with high mortality and poor prognosis due to a lack of predictive markers. Increasing evidence has demonstrated small nucleolar RNAs (snoRNAs) play an important role in tumorigenesis. The aim of this study was to identify a prognostic snoRNA signature of HNSCC. Survival-related snoRNAs were screened by Cox regression analysis (univariate, least absolute shrinkage and selection operator, and multivariate). The predictive value was validated in different subgroups. The biological functions were explored by coexpression analysis and gene set enrichment analysis (GSEA). One hundred and thirteen survival-related snoRNAs were identified, and a five-snoRNA signature predicted prognosis with high sensitivity and specificity. Furthermore, the signature was applicable to patients of different sexes, ages, stages, grades, and anatomic subdivisions. Coexpression analysis and GSEA revealed the five-snoRNA are involved in regulating malignant phenotype and DNA/RNA editing. This five-snoRNA signature is not only a promising predictor of prognosis and survival but also a potential biomarker for patient stratification management.     

The roles of moonlight ribosomal proteins in the development of human cancers

“Moonlighting protein” is a term used to define a single protein with multiple functions and different activities that are not derived from gene fusions, multiple RNA splicing, or the proteolytic activity of promiscuous enzymes. Different proteinous constituents of ribosomes have been shown to have important moonlighting extra-ribosomal functions. In this review, we introduce the impact of key moonlight ribosomal proteins and dependent signal transduction in the initiation and progression of various cancers. As a future perspective, the potential role of these moonlight ribosomal proteins in the diagnosis, prognosis, and development of novel strategies to improve the efficacy of therapies for human cancers has been suggested.     

Retracted: Rs11655237 polymorphism of LINC00673 affects the prognosis of cervical cancer by interfering with the interaction between LINC00673 and microRNA-1231

Single-nucleotide polymorphism (SNP) in long noncoding RNAs (lncRNAs) is known to disrupt the binding between lncRNAs and microRNAs. In this paper, we aimed to explore the role of LINC00673 rs11655237 SNP in the survival of cervical cancer (CC). Real-time polymerase chain reaction and western-blot analysis were used to detect expressions of LINC00673 and microRNA-1231 (miR-1231) in CC patients with different rs11655237 SNP genotypes. And the expression of LINC00673, miR-1231, and IFNAR1 was measured in mice and cells treated with exosomes carrying GG, GA, and AA rs11655237 genotypes. Compared with patients carrying the rs11655237 A allele of LINC00673 rs11655237 SNP, patients carrying the G allele showed higher overall survival and higher miR-1231 expression. In addition, the expression of miR-1231 was the highest in patients carrying the GG genotype and the lowest in patients carrying the AA genotype. Furthermore, the exosomes carrying GG, GA, and AA genotypes of LINC00673 rs11655237 SNP reduced tumor growth in mice, while the inhibitory effect of rs11655237 A allele was much stronger than that of the rs11655237 G allele. Additionally, exosome treatment upregulated the expression of LINC000673 and IFNAR1 while downregulating the expression of miR-1231. Interestingly, the A allele of rs11655237 generated a binding site for miR-1231 and subsequently affected the expression of IFNAR1, a target gene of miR-1231 containing a miR-1231 binding site in its 3′-untranslated region. Cells transfected with exosomes carrying GG, GA, and AA genotypes of LINC00673 rs11655237 SNP achieved higher LINC000673 and IFNAR1 expression along with lower miR-1231 expression. Therefore, rs11655237 can be used as a prognostic biomarker for CC.     

A stroma-related lncRNA panel for predicting recurrence and adjuvant chemotherapy benefit in patients with early-stage colon cancer

The heterogeneity in prognoses and chemotherapeutic responses of colon cancer patients with similar clinical features emphasized the necessity for new biomarkers that help to improve the survival prediction and tailor therapies more rationally and precisely. In the present study, we established a s troma-related l ncRNA s ignature (SLS) based on 52 lncRNAs to comprehensively predict clinical outcome. The SLS model could not only distinguish patients with different recurrence and mortality risks through univariate analysis, but also served as an independent factor for relapse-free and overall survival. Compared with the conventionally used TNM stage system, the SLS model clearly possessed higher predictive accuracy. Moreover, the SLS model also effectively screened chemotherapy-responsive patients, as only patients in the low-SLS group could benefit from adjuvant chemotherapy. The following cell infiltration and competing endogenous RNA (ceRNA) network functional analyses further confirmed the association between the SLS model and stromal activation-related biological processes. Additionally, this study also identified three phenotypically distinct colon cancer subtypes that varied in clinical outcome and chemotherapy benefits. In conclusion, our SLS model may be a significant determinant of survival and chemotherapeutic decision-making in colon cancer and may have a strong clinical transformation value.     

Identification of microenvironment-related genes with prognostic value in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is the most common type of kidney tumor. Previous studies have shown that the interaction between tumor cells and microenvironment has an important impact on prognosis. Immune and stromal cells are two vital components of the tumor microenvironment. Our study aimed to better understand and explore the genes involved in immune/stromal cells on prognosis. We used the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data algorithm to calculate immune/stromal scores. According to the scores, we divided ccRCC patients from The Cancer Genome Atlas database into low and high groups and identified the genes which were differentially expressed and significantly associated with prognosis. The result of functional enrichment analysis and protein-protein interaction networks indicated that these genes mainly were involved in extracellular matrix and regulation of cellular activities. Then another independent cohort from the International Cancer Genome Consortium database was used to validate these genes. Finally, we acquired a list of microenvironment-related genes that can predict prognosis for ccRCC patients.