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Background STIL centriolar assembly protein (STIL) is a cytoplasmic protein implicated in cellular growth and proliferation as well as chromosomal stability, which abnormal condition affected tumor immunity and tumor progression. However, the role of STIL in the biological mechanism of hepatocellular carcinoma (HCC) remains unclear. Methods Comprehensive bioinformatic approaches, in vitro functional assays, and validation were conducted to elucidate the oncogenic value of STIL in HCC. Results In the present study, we found that STIL may serve as an independent prognostic indicator and a potential oncogene in HCC. Gene set enrichment analysis (GSEA), and Gene set variation analysis (GSVA) showed that upregulated expression of STIL was positively associated with pathways enriched in the cell cycle and DNA damage response. Subsequently, we identified several non-coding RNAs (ncRNAs) accounting for the upregulation of STIL expression using a combination of in silico bioinformatics approaches (including expression analysis, correlation analysis, and survival analysis). Finally, CCNT2-AS1/SNHG1-has-miR-204-5p-STIL axis was screened out as the most potential upstream ncRNA-related pathway of STIL in HCC. Moreover, STIL expression is highly associated with the infiltration of immune cells, the expression of immune checkpoints, as well as the survival benefit of immunotherapy/chemotherapy. Conclusions Our study discloses that ncRNAs-mediated overexpression of STIL independently predicted poor prognosis and correlated with the efficacy of PD-1-targeted immunotherapy in HCC.

Introduction Amounting literatures have reported the significance of systemic inflammatory markers for evaluating tumor prognosis. But few studies have systematically compared their superiority and their impact on adjuvant chemotherapy. Materials and Methods We retrospectively enrolled 730 GC patients who underwent radical gastrectomy. Fibrinogen (FIB), platelet-lymphocyte ratio (PLR), systemic inflammation response index (SIRI), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR) and lymph node ratio (LNR) were grouped according to cutoff values. Their clinical significance for GC prognosis was determined by multivariate COX regression analysis in both overall and subgroups by PLR status. Cases were divided into four groups according to PLR status and adjuvant chemotherapy status and survival was compared between groups. Results Multivariate analysis showed that PLR was an independent prognostic factor for overall survival (OS) and disease-free survival (DFS) of GC patients. Adjuvant chemotherapy improved survival more significantly in patients with low PLR than that with high PLR. Among patients receiving adjuvant chemotherapy, low PLR was significantly associated with prolonged survival in TNM stage II, but not in TNM stage III. Conclusion Preoperative high PLR is an independent risk factor for GC patients undergoing radical gastrectomy and adversely affects the postoperative chemotherapy effect.

Besides breast and gastric cancer,We integrated public databases (discovery set) and internal data (validated set) of 288 patients representing three distinctCompared withPatients with

Patients with stage III lung adenocarcinoma (LUAD) have significant survival heterogeneity, meanwhile, CD8+ T cell has a remarkable function in immunotherapy. Therefore, developing novel biomarkers based on CD8+ T cell can help evaluate the prognosis and guide the strategy of immunotherapy for patients with stage III LUAD. Thus, we abstracted twelve datasets from multiple online databases and grouped the stage III LUAD patients into training and validation sets. We then used WGCNA and CIBERSORT, while univariate Cox analysis, LASSO analysis, and multivariate Cox analysis were performed. Subsequently, a novel CD8+ T cell-related classifier including HDFRP3, ARIH1, SMAD2, and UPB1 was developed, which could divide stage III LUAD patients into high- and low-risk groups with distinct survival probability in multiple cohorts (all P < 0.05). Moreover, a robust nomogram including the traditional clinical parameters and risk signature was constructed, and t-ROC, C-index, and calibration curves confirmed its powerful predictive capacity. Besides, we detected the difference in immune cell subpopulations and evaluated the potential benefits of immunotherapy between the two risk subsets. Finally, we verified the correlation between the gene expression and CD8+ T cells included in the model by immunohistochemistry and validated the validity of the model in a real-world cohort. Overall, we constructed a robust CD8+ T cell-related risk model originally which could predict the survival rates in stage III LUAD. What’s more, this model suggested that patients in the high-risk group could benefit from immunotherapy, which has significant implications for accurately predicting the effect of immunotherapy and evaluating the prognosis for patients with stage III LUAD.

Patients with stage III lung adenocarcinoma (LUAD) have significant survival heterogeneity, meanwhile, CD8

Mucin 4 (MUC4), a type I membrane-bound mucin, blocks apoptosis, promotes invasion, proliferation and migration and causes chemo-resistance in epithelial cancers. However, the expression profiling and clinical implications of MUC4 alternative splicing during cancer pathogenesis, including melanoma, remain obscure. We examined the mRNA expression profiling of MUC4 isoforms in gastrointestinal cancer cell lines, melanoma cell lines, human epidermal melanocyte cells, as well as 138 cases of human melanoma tissues by RT-qPCR. Then we analyzed the relationship of mRNA expression of MUC4 isoforms to clinicopathological characteristics and survival of patients. The dynamic mRNA expression profiling of MUC4 isoforms was found in melanoma. We identified MUC4 isoform f was highly expressed in melanoma cell lines but negative in gastrointestinal cancer cell lines. Clinical analysis based on 138 cases of human melanomas showed that MUC4 isoform d was related with melanoma subtypes (p = 0.028) and TNM stage (p = 0.036). MUC4 isoform e was related with tumor thickness (p = 0.004) and T stage (p = 0.036). The Kaplan-Meier assay showed that the median overall survival (OS) for patients with MUC4 isoform f high expression was significantly shorter than that of patients with low expression (p = 0.024). And the median PFS of the patients with high expression of MUC4 isoform d or e was significantly shorter than that of with low expression (p = 0.012 and 0.035, respectively). Multivariate analysis indicated that high level of MUC4 isoform f was an independent prognostic factor for OS, and MUC4 isoform d was an independent prognostic factor for PFS of patients treated with chemotherapy. In conclusion, our results indicate that the dynamic MUC4 isoforms expressed in melanoma, and MUC4 isoform d and f might be served as a novel prognostic indicator of melanoma patients.

Introduction: Checkpoint inhibitors pneumonia (CIP) is a common type of irAEs with poor clinical prognosis. Currently, there is a lack of effective biomarkers and predictive models to predict the occurrence of CIP.Materials and Methods: The study retrospectively included 327 patients who received immunotherapy for the first time as a training cohort and 167 patients as a validation cohort. Patients were assessed for the occurrence of CIP, and were divided into any grade CIP cohort, grade ≥2 CIP cohort, and grade ≥3 CIP cohort. Multivariate logistic regression analyses were used to determine the independent risk factors. Based on that, predictive nomograms were constructed and validated to predict the risk of CIP. Results: The overall incidence of CIP was 18.61%. Based on the results of multivariate analysis, we established nomogram models for predicting any grade CIP and grade ≥2 CIP, respectively. For the nomogram to predict any grade CIP, the C index of the model in the training cohort and validation cohort were 0.814 (95%CI=0.760-0.870) and 0.919 (95%CI=0.842-0.941), respectively. Similarly, as for the nomogram of grade 2 or higher CIP, the C index of the model in the training cohort and validation cohort were 0.879 (95%CI=0.81-0.92) and 0.936 (95%CI=0.812-0.982), respectively. Conclusions: After internal verification and external verification, the predictive power of nomogram models is satisfactory and they are expected to be a convenient, visual, and personalized clinical tool for assessing the risk of developing CIP in patients receiving ICIs treatment.

Checkpoint inhibitors pneumonitis (CIP) is one of the most lethal adverse events in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs). Currently, there is no recognized and effective predictive model to predict CIP in NSCLC.This study retrospectively analyzed 460 NSCLC patients who were first treated with ICIs. Patients were divided into three cohorts based on the occurrence of CIP: any grade CIP cohort, grade ≥ 2 CIP cohort and grade ≥ 3 CIP cohort.A dynamic hypertension nomogram was constructed with elements including hypertension, interstitial lung disease (ILD), emphysema at baseline, and higher baseline platelet/lymphocyte ratio (PLR). The C indices of the training cohort and the internal and external validation cohort in any grade CIP cohort were 0.872, 0.833 and 0.840, respectively. The constructed hypertension nomogram was applied to grade ≥ 2 cohort and grade ≥ 3 cohort, and their C indices were 0.844 and 0.866, respectively. Compared with the non-hypertension nomogram, the hypertension nomogram presented better predictive power.After validated by internal and external validation cohorts, the dynamic online hypertension has the potential to become a convenient, intuitive, and personalized clinical tool for assessing the risk of CIP in NSCLC patients.

Since autophagy and the immune microenvironment are deeply involved in the tumor development and progression of Lower-grade gliomas (LGG), our study aimed to construct an autophagy-related risk model for prognosis prediction and investigate the relationship between the immune microenvironment and risk signature in LGG. Therefore, we identified six autophagy-related genes (BAG1, PTK6, EEF2, PEA15, ITGA6, and MAP1LC3C) to build in the training cohort (n = 305 patients) and verify the prognostic model in the validation cohort (n = 128) and the whole cohort (n = 433), based on the data from The Cancer Genome Atlas (TCGA). The six-gene risk signature could divide LGG patients into high- and low-risk groups with distinct overall survival in multiple cohorts (all p < 0.001). The prognostic effect was assessed by area under the time-dependent ROC (t-ROC) analysis in the training, validation, and whole cohorts, in which the AUC value at the survival time of 5 years was 0.837, 0.755, and 0.803, respectively. Cox regression analysis demonstrated that the risk model was an independent risk predictor of OS (HR > 1, p < 0.05). A nomogram including the traditional clinical parameters and risk signature was constructed, and t-ROC, C-index, and calibration curves confirmed its robust predictive capacity. KM analysis revealed a significant difference in the subgroup analyses’ survival. Functional enrichment analysis revealed that these autophagy-related signatures were mainly involved in the phagosome and immune-related pathways. Besides, we also found significant differences in immune cell infiltration and immunotherapy targets between risk groups. In conclusion, we built a powerful predictive signature and explored immune components (including immune cells and emerging immunotherapy targets) in LGG.

Patient-derived xenograft (PDX) models mostly retain the histological and genetic features of their donor tumors, which have been used for investigating various types of cancer. However, PDX models for melanoma, especially acral melanoma, are reported occasionally. We aimed to establish a large panel of melanoma PDX models representing the predominant Asian melanomas. Ninety-three fresh melanoma samples were implanted subcutaneously into nonobese diabetic/severe combined immunodeficiency mice. The histological and genetic characteristics were analyzed in both patient tumors and PDX models using immunohistochemistry, PCR amplification, and Sanger sequencing. Furthermore, the sensitivities of PDX models harboring distinct mutation profiles to binimetinib (a MEK inhibitor), vemubrafenib (a BRAF inhibitor), and imatinib (a KIT inhibitor) were also evaluated. Twenty-five PDX models were established successfully [25/93 (26.9%)] and passaged to maintain tumors in vivo. Clinical stage and origin of tumor sample were correlated with successful establishment rates (P=0.008 and

Background:AURKA kinase is an essential serine/threonine kinase for mitosis and chromosome stability. The aberrant amplification and overexpression of AURKA are commonly observed in various types of cancer, including cutaneous melanoma. However, the status and the clinical significance of AURKA copy number (CN) in acral melanoma (AM) have not been fully elucidated. Methods: Four hundred and seventy-two AM samples were included in the study. AURKA CN was examined using the QuantiGenePlex DNA Assay. We analysed the relationship of AURKA CN to clinicopathological characteristics and survival of patients with AM. Results: In this study, AURKA copy gain (set as more than 2.0 copies) was detected in 24.6% (116/472) of the samples. We did not observe any obvious correlation between clinicopathological characteristics and AURKA copy gain of the patients. However, patients with AURKA copy gain had a significantly shorter overall survival time (OS) and progression-free survival time (PFS) than those with normal AURKA CN (OS: P = 0.022; PFS: P < 0.001). Furthermore, multivariate Cox regression analysis showed that AURKA copy gain was an independent poor prognostic factor for patients with AM undergoing adjuvant interferon therapy. Conclusions: This study suggested that AURKA copy gain is an adverse prognostic factor for AM. Furthermore, AURKA copy gain may be a useful biomarker to predict the outcome of interferon therapy in patients with AM.

Background Melanoma is one of the most aggressive cancers with extremely poor prognosis, and the median survival time for stage IV patients is approximately 6 to 8 months. Unlike cutaneous melanoma, mucosal melanoma is a rare melanoma subtype among Caucasian patients but its incidence remains as high as 22.6% among Chinese patients. Screening specific genetic variations is the guideline to select targeted drugs for the treatment of advanced melanoma, whereas the genetic variation spectrum and potential therapeutic targets for mucosal melanoma are largely unclear. It is urgent to identify promising genetic variants for mucosal melanoma so as to develop effective targeted therapies for this disease. Methods Tumor samples from 213 Chinese mucosal melanoma patients were involved in this study. P16INK4a/Cyclin D1/CDK4 copy number was examined using the QuantiGene Plex DNA assay and the correlation between abnormal copy number and clinicopathological parameters was analyzed. Patient-derived xenograft models (PDX) were performed to detect the effects of CDK4/6 inhibitors on the proliferation of mucosal melanoma cells with altered copy number of CDK4 pathway (CDK4, Cyclin D1 and P16INK4a). The molecular mechanisms of CDK4/6 inhibitors on the proliferation of mucosal melanoma were analyzed by RNAseq. Results Among the 213 samples, the amplification rate of CDK4 and CCND1 was 47.0% and 27.7%, respectively, and the deletion rate of P16INK4a was 57.7%. Patients with more than one genetic abnormality were up to 81.7%. CDK4 pathway gene copy number variation was not associated with the prognosis of patients with mucosal melanoma (P > 0.05). Drug sensitivity tests showed that AT7519, a broad-spectrum CDK inhibitor, and PD0332991, a specific CDK4/6 inhibitor, exhibited higher inhibitory effect on CDK4 signaling pathway abnormal mucosal melanoma cells-derived PDX tumors growth than CDK4 signaling pathway normal ones. RNA-seq analysis showed that CDK4 inhibitors may affect tumor proliferation through multiple signaling pathways. Conclusions Abnormal copy number of cell cycle related genes is frequently found in mucosal melanoma. CDK4/6 inhibitors significantly suppress the PDX tumor growth with abnormal CDK4 pathway. CDK4 signaling variations predict the effectiveness of CDK4 inhibitors in mucosal melanoma. Electronic supplementary material The online version of this article (10.1186/s12967-019-1987-z) contains supplementary material, which is available to authorized users.

Background Mucosal melanoma with poor prognosis is a common histopathologic subtype of melanoma among Chinese and other Asian peoples. Regulated microRNAs (miRNAs) have been reported as oncogenes or tumour suppressors in melanoma. However, the roles of specific miRNAs in mucosal melanoma remain largely unknown. Here, we aimed to assess the biological functions, molecular mechanisms and clinical potential of miR-let-7b and miR-let-7c in mucosal melanoma. Methods The expression of miR-let-7b and miR-let-7c in mucosal melanoma was determined by quantitative polymerase chain reaction (qPCR). Cutoff scores for miR-let-7b and miR-let-7c expressions were calculated through receiver operating characteristic (ROC) curve analysis in 106 mucosal melanoma patients according to recurrence. Correlations of miR-let-7b and miR-let-7c expression with clinicopathological characteristics, disease-free survival (DFS) and clinical benefits after treatment were then statistically analysed. The biological functions and molecular mechanisms of miR-let-7b and miR-let-7c were studied in vitro and in vivo. Results The expression of miR-let-7b and miR-let-7c was decreased in 94 cases (88.7%) and 89 cases (84.0%) of 106 mucosal melanoma patients compared with mucosal nevi. A correlation was observed between the expression of miR-let-7b, miR-let-7c and DFS after surgery. In addition, overexpression of miR-let-7b or miR-let-7c inhibited mucosal melanoma cell growth, migration, invasion and metastasis and induced cell apoptosis and cell cycle arrest in vitro and in vivo. Mechanistically, miR-let-7b and miR-let-7c directly targeted metadherin (MTDH) and calumenin (CALU) and suppressed phospho-ERK in mucosal melanoma cells. MTDH and CALU reversed the partial function of miR-let-7b and miR-let-7c in vitro. Furthermore, progression-free survival (PFS) of mucosal melanoma patients upon temozolomide-based and paclitaxel-based chemotherapy was related to miR-let-7b and miR-let-7c expression. Overexpression of miR-let-7b or miR-let-7c in patient-derived xenograft (PDX) models and certain mucosal melanoma cells had better growth inhibition after temozolomide and paclitaxel treatment. MTDH reversed the sensitivity of miR-let-7b and miR-let-7c to paclitaxel in vitro. Conclusions Our results suggested that miR-let-7b and miR-let-7c inhibited the recurrence of mucosal melanoma through inhibiting cell growth, migration, invasion and metastasis, inducing cell apoptosis and cell cycle arrest by targeting MTDH and CALU. In addition, miR-let-7b and miR-let-7c increased sensitivity to chemotherapeutic agents by targeting MTDH. Electronic supplementary material The online version of this article (10.1186/s13046-019-1190-3) contains supplementary material, which is available to authorized users.

Additional file 1: Table S1. Correlation of CDK4 pathway aberrations to treatment groups.

Neuroblastoma rat-sarcoma viral oncogene homolog (NRAS) isoforms are expressed in melanoma tumor tissues, which have been described in Caucasian melanoma. However, the status and the clinical significance of NRAS isoforms in the Asian population have not been investigated on a large scale. We examined the expression levels of NRAS isoforms of 140 melanoma samples using quantitative real-time PCR. Furthermore, the relationship of mRNA expression of NRAS isoforms to clinicopathological characteristics and survival of patients was analyzed. Statistical analysis showed that NRAS isoform 2 expression was correlated with melanoma subtypes (P=0.007), and NRAS isoform 4 expression was correlated with tumor thickness (P=0.031) and clinical stage (P=0.006). The median overall survival for patients with high expression of NRAS isoform 3 was significantly shorter than that for patients with low expression of NRAS isoform 3 (P=0.007). In addition, high expression of NRAS isoform 5 was associated with a worse prognosis (P=0.049 and 0.002 for overall survival and disease-free survival, respectively). Multivariate Cox regression analysis showed that high expression levels of NRAS isoform 3 and isoform 5 were independent poor prognostic factors for patients. Our results indicated that the mRNA expressions of NRAS isoform 3 and isoform 5 may be novel indicators of the prognosis of Chinese melanoma patients.

Background: AURKA kinase is an essential serine/threonine kinase for mitosis and chromosome stability. The aberrant amplification and overexpression of AURKA are commonly observed in various types of cancer, including cutaneous melanoma. However, the status and the clinical significance of AURKA copy number (CN) in acral melanoma (AM) have not been fully elucidated. Methods: Four hundred and seventy-two AM samples were included in the study. AURKA CN was examined using the QuantiGenePlex DNA Assay. We analysed the relationship of AURKA CN to clinicopathological characteristics and survival of patients with AM. Results: In this study, AURKA copy gain (set as more than 2.0 copies) was detected in 24.6% (116/472) of the samples. We did not observe any obvious correlation between clinicopathological characteristics and AURKA copy gain of the patients. However, patients with AURKA copy gain had a significantly shorter overall survival time (OS) and progression-free survival time (PFS) than those with normal AURKA CN (OS: P = 0.022; PFS: P < 0.001). Furthermore, multivariate Cox regression analysis showed that AURKA copy gain was an independent poor prognostic factor for patients with AM undergoing adjuvant interferon therapy. Conclusions: This study suggested that AURKA copy gain is an adverse prognostic factor for AM. Furthermore, AURKA copy gain may be a useful biomarker to predict the outcome of interferon therapy in patients with AM.

Additional file 2. EZH2 gain in BRAF V600E mutated melanoma. Correlation of EZH2 gain to clinicopathologic features of BRAF V600E mutated melanomas.

Additional file 7. Compusyn report of combination therapy in A375 cell line.

Additional file 9: Figure S1. Sub-G0 cells detected in 2058 cells after combination therapy. Figure S2. Variations in apoptosis rate in all four BRAF V600E mutated cell lines after combination therapy. Figure S3. The levels of P-AKT at baseline and after treatment with GSK drug in all cell lines.

Additional file 4. Compusyn report of combination therapy in A2058 cell line.

Additional file 8. Compusyn report of combination therapy in SK-MEL-5 cell line.

Additional file 5. Correlation of EZH2 amplification to clinicopathologic features of BRAFV600E mutated mucosal melanomas.

Additional file 6. Compusyn report of combination therapy in WM 115 cell line.

Additional file 1. PDX information.

e21530Background: EZH2 aberrations have been described in divers cancer types. However, the status and the clinical significance of EZH2 copy number variation have not been investigated in Asian me...

Marker-assisted gene pyramiding aims to produce individuals with superior economic traits according to the optimal breeding scheme which involves selecting a series of favorite target alleles after cross of base populations and pyramiding them into a single genotype. Inspired by the science of evolutionary computation, we used the metaphor of hill-climbing to model the dynamic behavior of gene pyramiding. In consideration of the traditional cross program of animals along with the features of animal segregating populations, four types of cross programs and two types of selection strategies for gene pyramiding are performed from a practical perspective. Two population cross for pyramiding two genes (denoted II), three population cascading cross for pyramiding three genes(denoted III), four population symmetry (denoted IIII-S) and cascading cross for pyramiding four genes (denoted IIII-C), and various schemes (denoted cross program-A-E) are designed for each cross program given different levels of initial favorite allele frequencies, base population sizes and trait heritabilities. The process of gene pyramiding breeding for various schemes are simulated and compared based on the population hamming distance, average superior genotype frequencies and average phenotypic values. By simulation, the results show that the larger base population size and the higher the initial favorite allele frequency the higher the efficiency of gene pyramiding. Parents cross order is shown to be the most important factor in a cascading cross, but has no significant influence on the symmetric cross. The results also show that genotypic selection strategy is superior to phenotypic selection in accelerating gene pyramiding. Moreover, the method and corresponding software was used to compare different cross schemes and selection strategies.

Effective doctor-patient communication is essential for delivering high quality patient care and building harmonious doctor-patient relationship. However, little is known about student’s assessment of doctor-patient relationship and their attitudes towards their own communication skills and participating in communication skills courses. The aim of the present study was to identify these assessment and attitudes prior to commencing such a course. We conducted a survey using a self-designed questionnaire on 363 undergraduate medical students in an anonymous way. More than half of the undergraduate medical students (64.7%) thought the doctor-patient relationship is relatively harmonious and 75.5% felt that good doctor-patient communication skills could effectively reduce the incidence of current medical disputes. 81.3% of medical students believed that their communication skills are limited, and are eager to be trained, but only 33.2% of the students agreed that communication curriculum should become a compulsory course. 53.7% of the students favored interactive lectures over the didactic formal lectures. Based on the survey, we feel that it is necessary to setup the doctor-patient communication curriculum in medical institutions to enhance the communication ability of medical students. The preferred teaching style is through interactive lectures with opportunities for discussion and observation.