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Background Some circular RNAs (circRNAs) can be translated into functional peptides by small open reading frames (ORFs) in a cap-independent manner. Internal ribosomal entry site (IRES) and N 6 -methyladenosine (m 6 A) were reported to drive translation of circRNAs. Experimental methods confirming the presence of IRES and m 6 A site are time consuming and labor intensive. Lacking computational tools to predict ORFs, IRESs and m 6 A sites for circRNAs makes it harder. Results In this report, we present circPrimer 2.0, a Java based software for annotating circRNAs and predicting ORFs, IRESs, and m6A sites of circRNAs. circPrimer 2.0 has a graphical and a command-line interface that enables the tool to be embed into an analysis pipeline. Conclusions circprimer 2.0 is an easy-to-use software for annotating circRNAs and predicting translation potential of circRNAs, and freely available at www.bio-inf.cn .

Cancer-associated fibroblasts (CAFs) are critical components of the tumor microenvironment (TME) with diverse functions such as extracellular matrix (ECM) remodeling, modulation of metabolism and angiogenesis, and crosstalk with both cancer cells and infiltrating immune cells by production of growth factors, cytokines, and chemokines. Within the TME milieu, CAFs exhibit morphological and functional transitions with relatively specific markers and hold tremendous potential to facilitate tumorigenesis, development, and resistance towards multiple therapeutic strategies including chemotherapy, radiotherapy, targeted therapy, anti-angiogenesis therapy, immunotherapy, and endocrine therapy. Accordingly, CAFs themselves and the downstream effectors and/or signaling pathways are potential targets for optimizing the sensitivity of anti-cancer therapies. This review aims to provide a detailed landscape of the role that CAFs play in conferring therapeutic resistance in different cancers and the underlying mechanisms. The translational and therapeutic perspectives of CAFs in the individualized treatment of malignant tumors are also discussed.

The C-reactive protein-albumin-lymphocyte (CALLY) index has been identified as a useful and sensitive predictive tool for stratification in cancers. This investigation aimed to validate the prognostic ability of CALLY in esophageal squamous cell carcinoma (ESCC). Clinical characteristics of 318 patients with ESCC who underwent radical excision were gathered and analyzed retrospectively. A restricted cubic spline (RCS) model was used to determine an ideal threshold of CALLY due to the non-linear relation. To investigate the predictors, Cox hazard regression analysis was used. The recursive partitioning analysis (RPA), a method of risk categorization, was also developed for prognostic prediction. The receiver operating characteristic (ROC) curves and decision curve analysis (DCA) curves were used to distinguish from the traditional TNM stage. Patients were compared by groups according to the optimal threshold of CALLY index, which was depicted by the non-linear relation between the cancer-specific survival (CSS) and CALLY index (P < 0.0001). Compared to those with high CALLY index, patients with low CALLY index experienced significantly worse 5-year CSS (21.8% vs. 62.6%, P < 0.001). At different TNM stages, patients with high CALLY index also had better 5-year CSS (I: P = 0.029; II: P < 0.001; III: P < 0.001) in subgroup analyses. The hazard ratio for CSS was 0.368 and CALLY index was an independent predictive factor (P < 0.001). Using TNM stage and CALLY-based RPA algorithms, a new staging was created. The RPA model considerably outperformed the TNM classification for prognostication using ROC (P < 0.001). The DCA also demonstrated that the new model outperformed the TNM stage with significantly improved accuracy for CSS. The prognostic value of CALLY in ESCC undergoing radical resection was initially determined in this study. CALLY was substantially related to prognosis and might be utilized in conjunction with TNM to evaluate ESCC prior to surgery.

Background Although observational studies have reported associations between serum C-reactive protein (CRP) concentration and risks of lung, breast, and colorectal cancer, inconsistent or absent evidences were showed for other cancers. We conducted a pan-cancer analysis to comprehensively assess the role of CRP, including linearity and non-linearity associations. Methods We analyzed 420,964 cancer-free participants from UK Biobank cohort. Multivariable-adjusted Cox proportional hazards model was conducted to evaluate the observed correlation of CRP with overall cancer and 21 site-specific cancer risks. Furthermore, we performed linear and non-linear Mendelian randomization analyses to explore the potential causal relation between them. Results During a median follow-up period of 7.1 years (interquartile range: 6.3, 7.7), 34,979 incident cancer cases were observed. Observational analyses showed higher CRP concentration was associated with increased risk of overall cancer (hazard ratio (HR) = 1.02, 95% CI: 1.01, 1.02 per 1mg/L increase, P < 0.001). There was a non-linear association between CRP and overall cancer risk with inflection point at 3mg/L (false-discovery rate adjust (FDR-adjusted) P overall < 0.001 and FDR-adjusted P non-linear < 0.001). For site-specific cancer, we observed positive linear associations for cancers of esophagus and stomach (FDR-adjusted P overall < 0.050 and FDR-adjusted P non-linear > 0.050). In addition, we also observed three different patterns of non-linear associations, including “fast-to-low increase” (head and neck, colorectal, liver, lung, kidney cancer, and non-Hodgkin lymphoma), “increase-to-decrease” (breast cancer), and “decrease-to-platform” (chronic lymphocytic leukemia). Furthermore, the inflection points of non-linear association patterns were consistently at around 3mg/L. By contrast, there was no evidence for linear or non-linear associations between genetically predicted CRP and risks of overall cancer or site-specific cancers. Conclusions Our results indicated that CRP was a potential biomarker to assess risks of overall cancer and 12 site-specific cancers, while no association were observed for genetically-predicted CRP and cancer risks.

Background Since circular RNAs (circRNAs) post-transcriptionally regulate gene expression, they have attracted increasing attention. However, there is no existing tool to annotate and extract spliced sequences for circRNAs and no tool to determine the specificity of circRNA primers. Results In this study, we present circPrimer, which allows users to search, annotate, and visualize circRNAs. Additionally, circPrimer enables users to extract the spliced sequences and genomic sequences of any circRNA, including novel circRNAs. Furthermore, circPrimer help users to design primers for circRNAs and to determine the specificity of the circRNA primers. Conclusions CircPrimer is a user-friendly tool for exploring circRNAs that does not require special user skills.

Over the past several years, long non‐coding RNAs (lncRNAs) have attracted more and more attention due to their special functions. They are vital biomarkers in multiple diseases. LncRNA HOMEOBOX A11 (HOXA11) has been found to be aberrantly expressed in some kinds of malignant tumors. In this study, we mainly discuss the oncogenic role of it in promoting malignant progression and chemoresistance in lung adenocarcinoma (LUAD) cells. The expression of HOXA11‐AS was much stronger in cisplatin‐resistant LUAD cells. Based on The Cancer Genome Atlas database, patients with high expression of HOXA11‐AS had shorter survival time. Additionally, knockdown of HOXA11‐AS caused positive changes in cell activities of LUAD. For example, cell proliferation and migration were weakened, the epithelial mesenchymal transition process was reversed, and apoptosis was induced. These changes were more obvious in cells treated with cisplatin. Next, the HOXA11‐AS/miR‐454‐3p/Stat3 (signal transducer and activator of transcription 3) pathway was found to influence the cisplatin resistance of LUAD cells. HOXA11‐AS specifically acted as a competing endogenous RNA (ceRNA) in LUAD cells. The combinations among these three genes were demonstrated. Finally, rescue assays were applied to demonstrate the ceRNA pattern consisting of HOXA11‐AS, miR‐454‐3p and Stat3. In conclusion, lncRNA HOXA11‐AS acted as a ceRNA to promote cisplatin resistance of human LUAD cells via the miR‐454‐3p/Stat3 axis. LncRNA HOXA11‐AS has been studied in several kinds of human malignant tumors, while it was not deeply researched in LUAD. In this study, we uncovered a novel pathway (HOXA11‐AS‐miR‐454‐3p‐Stat3), which was proved to be a functional axis in LUAD. We thought the data were adequate and useful. This study might provide a new therapeutic pathway for LUAD.

Cancer immunotherapy is a major breakthrough in the history of tumor therapy in the last decade. Immune checkpoint inhibitors blocking CTLA-4/B7 or PD-1/PD-L1 pathways have greatly prolonged the survival of patients with different cancers. Long non-coding RNAs (lncRNAs) are abnormally expressed in tumors and play an important role in tumor immunotherapy through immune regulation and immunotherapy resistance. In this review, we summarized the mechanisms of lncRNAs in regulating gene expression and well-studied immune checkpoint pathways. The crucial regulatory function of immune-related lncRNAs in cancer immunotherapy was also described. Further understanding of the underlying mechanisms of these lncRNAs is of great importance to the development of taking lncRNAs as novel biomarkers and therapeutic targets for immunotherapy.

EGFR-mutant lung cancer (LC) patients display a poor response to PD-1/PD-L1 blockade. In the absence of independent genetic validation, whether EGFR mutation distorts host antitumor immunity is unknown. Here, we showed that in the clinic, LC with the E746-A750 deletion mutation (EGFR-19del) displayed a temporal association with the loss of intratumoral CD8+ T cells. In a xenograft model, EGFR-19del-expressing Lewis lung cancer (LLC) tumors had a low T cell density at the early stage of tumor development, along with dendritic cells (DCs) exhibiting variant phenotypes in the tumors and draining lymph nodes (LNs). Importantly, EGFR-19del DCs were observed in the LNs of tumor-bearing mice and LC patients. The proliferative activity of T cells within the LN was significantly dampened. In vitro experiments indicated that the function of DCs was repressed by EGFR-19del LLC cells through exosome uptake in which exosomes derived from the EGFR-19del LLC cells could efficiently transfer active EGFR-19del to the surface of the DCs. Injection of EGFR-19del tumor-derived exosomes promoted LLC tumor progression and induced immunosuppression. The combination of gefitinib and GM-CSF treatment recovered tumor T cell infiltration in EGFR-19del tumors by rescuing the function of DCs and increasing the efficacy of anti-PD-L1 treatment. Together, these results indicated that LC with the EGFR E746-A750 deletion mutation induced anergic DCs to repress antitumor immunity through exosomes.

Non-small cell lung cancer (NSCLC) is the major cause of cancer-associated death worldwide, but its underlying mechanisms remain to be fully elucidated. Long noncoding RNAs (lncRNAs) are known to play an important role in the aberrant regulation of gene expression in many cancers, including NSCLC. Here, we investigated the involvement of the lncRNA KTN1-AS1 in NSCLC. We found that KTN1-AS1 expression was upregulated in NSCLC tissue and was positively associated with poor prognosis. KTN1-AS1 knockdown inhibited cell growth and proliferation, increased apoptosis, and modulated the expression of cell cycle- and apoptosis-related proteins (cyclin A1, cyclin-dependent kinase 2, Bcl2, and Bax) in NSCLC cell lines and tumour xenografts in nude mice. KTN1-AS1 bound to and directly regulated the expression of miR-130a-5p. Notably, miR-130a-5p overexpression suppressed NSCLC cell proliferation and increased apoptosis in vitro and in vivo, and this effect was reversed by KTN1-AS1 overexpression. Finally, we showed that KTN1-AS1 modulated the expression of 3-phosphoinositide-dependent protein kinase 1 (PDPK1), a miR-130a-5p target and key regulator of autophagy in NSCLC cells. Taken together, our results suggest that the KTN1-AS1/miR-130a-5p/PDPK1 pathway may be a potential therapeutic target for NSCLC.

Objectives Long non‐coding RNAs (lncRNAs) represent an important group of non‐coding RNAs (ncRNAs) with more than 200 nucleotides in length that are transcribed from the so‐called genomic “dark matter.” Mounting evidence has shown that lncRNAs have manifested a paramount function in the pathophysiology of human diseases, especially in the pathogenesis and progression of cancers. Despite the exponential growth in lncRNA publications, our understanding of regulatory mechanism of lncRNAs is still limited, and a lot of controversies remain in the current lncRNA knowledge.The purpose of this article is to explore the clinical significance and molecular mechanism of SNHG15 in tumors. Materials & Methods We have systematically searched the Pubmed, Web of Science, Embase and Cochrane databases. We provide an overview of current evidence concerning the functional role, mechanistic models and clinical utilities of SNHG15 in human cancers in this review. Results Small nucleolar RNA host gene 15 (SNHG15), a novel lncRNA, is identified as a key regulator in tumorigenesis and progression of various human cancers, including colorectal cancer (CRC), gastric cancer (GC), pancreatic cancer (PC) and hepatocellular carcinoma (HCC). Dysregulation of SNHG15 has been revealed to be dramatically correlated with advanced clinicopathological factors and predicts poor prognosis, suggesting its potential clinical value as a promising biomarker and therapeutic target for cancer patients. Conclusions LncRNA SNHG15 may serve as a prospective and novel biomarker for molecular diagnosis and therapeutics in patients with cancer.