NCAM1 supports therapy resistance and LSC function in AML

Endogenous Retrovirus RNA Expression Differences between Race, Stage and HPV Status Offer Improved Prognostication among Women with Cervical Cancer

Endogenous human retroviruses (ERVs) are remnants of exogenous retroviruses that have integrated into the human genome. Using publicly available RNA-seq data from 63 cervical cancer patients, we investigated the expression of ERVs in cervical cancers. Four aspects of cervical cancer were investigated: patient ancestral background, tumor HPV type, tumor stage and patient survival. Between the racial subgroups, 74 ERVs were significantly differentially expressed, with Black Americans having 30 upregulated and 44 downregulated (including MER21C, HERV9-int, and HERVH-int) ERVs when compared to White Americans. We found that 3313 ERVs were differentially expressed between HPV subgroups, including MER41A, HERVH-int and HERVK9. There were 28 downregulated (including MLT1D and HERVH-int) and 61 upregulated (including MER41A) ERVs in locally advanced-stage compared to early-stage samples. Tissue microarrays of cervical cancer patients were used to investigate the protein expression of ERVs with protein coding potential (i.e., HERVK and ERV3). Significant differences in protein expression of ERV3 (p = 0.000905) were observed between early-stage and locally advanced-stage tumors. No significant differential expression at the protein level was found for HERVK7 (p = 0.243). We also investigated a prognostic model, supplementing a baseline prediction model using FIGO stage, age and HPV positivity with ERVs data. The expression levels of all ERVs in the HERVd were input into a Lasso-Cox proportional hazards model, developing a predictive 67-ERV panel. When ERVs expression levels were supplemented with the clinical data, a significant increase in prognostic power (p = 9.433 × 10-15) relative to that obtained with the clinical parameters alone (p = 0.06027) was observed. In summary, ERV RNA expression in cervical cancer tumors is significantly different among racial cohorts, HPV subgroups and disease stages. The combination of the expression of certain ERVs in cervical cancers with clinical factors significantly improved prognostication compared to clinical factors alone; therefore, ERVs may serve as future prognostic biomarkers and therapeutic targets. Novelty and Impact: When endogenous retroviral (ERV) expression signatures were combined with currently employed clinical prognosticators of relapse of cervical cancer, the combination outperformed prediction models based on clinical prognosticators alone. ERV expression signatures in tumor biopsies may therefore be useful to help identify patients at greater risk of recurrence. The novel ERV expression signatures or adjacent genes possibly impacted by ERV expression described here may also be targets for the development of future therapeutic interventions.

Evaluation of immune-biomarker expression in high-grade soft-tissue sarcoma: HLA-DQA1 expression as a prognostic marker

High-grade soft-tissue sarcoma (STS) is a highly malignant neoplasm with a poor overall prognosis. Numerous prognostic factors determine tumor progression and patient outcomes. Various immune-associated cells identified in the tumor microenvironment have important roles in various tumor types. The present study was performed to evaluate the expression of immune-associated genes and to elucidate the association between these genes and the prognosis in high-grade STS. A total of 12 formalin-fixed, paraffin-embedded tissue samples of high-grade STS were subjected to gene expression analysis using the NanoString nCounter^® System and another 35 samples were used for immunohistochemistry. For comparative analysis, the patients were divided into two groups according to overall survival (OS). The expression levels of 770 genes were first analyzed using the nCounter^® PanCancer Immune Profiling Panel. Immunohistochemistry was then performed for the most significantly altered genes. Subsequently, the association between gene expression and prognosis of high-grade STS was evaluated. Of the 770 immune-associated genes analyzed, several genes were identified as being differentially expressed between the two groups. Based on gene expression levels and fold change, 13 representative genes were identified; 7 of the 13 candidate genes (C3, CD36, DOCK9, FCER2, FOS, HLA-DRB4 and NCAM1) were significantly overexpressed in the poor prognosis group, while the other 6 immune-associated genes (BIRC5, DUSP4, FOXP3, HLA-DQA1, HLA-DQB1 and LAG3) were increased in the good prognosis group. By immunohistochemistry, the expression of the 13 immune-associated genes was confirmed to be significantly different between the two groups. Expression of HLA-DQA1, HLA-DQB1 and HLA-DRB4 was observed in 74.3, 34.3 and 48.6% of tumors, respectively. HLA-DQA1 and HLA-DQB1 were significantly decreased, whereas HLA-DRB4 was significantly increased in the poor prognosis group. Of note, expression of HLA-DQA1 was associated with a significantly longer OS (P=0.028). In conclusion, HLA-DQA1 expression was significantly associated with long-term survival and may therefore be an immune biomarker for good prognosis in high-grade STS.

Retracted Article: Long non-coding RNA KCNQ1OT1 regulates cell proliferation, apoptosis and chemo-sensitivity through modulating the miR-186-5p/NCAM1 axis in acute myeloid leukemia cells

Recent studies show that lncRNA KCNQ1OT1 and microRNA-186-5p (miR-186-5p) are involved in various human cancers. Moreover, it is reported that KCNQ1OT1 expression is upregulated in acute myeloid leukemia (AML). However, their roles in AML remain unknown. This study aimed to reveal the functional mechanism of KCNQ1OT1 and miR-186-5p in AML development. Quantitative real time polymerase chain reaction (qRT-PCR) was performed to detect the levels of genes. Cell proliferation and apoptosis were assessed by a 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) assay and flow cytometry analysis respectively. A western blot assay was carried out to examine the protein levels. In addition, the interaction between miR-186-5p and KCNQ1OT1 or neural cell adhesion molecule 1 (NCAM1) was predicted by bioinformatics analysis tool starbase2.0 and confirmed by the dual luciferase reporter assay. KCNQ1OT1 and NCAM1 expressions were increased and miR-186-5p expression was decreased in AML samples and cells. The depletion of KCNQ1OT1 inhibited cell proliferation, and promoted apoptosis and chemo-sensitivity in AML. In addition, the upregulation of miR-186-5p suppressed AML cell proliferation, and induced apoptosis and chemo-sensitivity. Interestingly, KCNQ1OT1 directly downregulated miR-186-5p expression and miR-186-5p decreased NCAM1 expression by binding to the 3′ untranslated region (UTR) of NCAM1 mRNA. Furthermore, miR-186-5p knockdown or NCAM1 overexpression reversed the effects of KCNQ1OT1 depletion on AML cell progression. Our results firstly revealed a linear relationship between KCNQ1OT1, miR-186-5p, and NCAM1, and demonstrated that KCNQ1OT1 mediated AML cell progression via regulating the miR-186-5p/NCAM1 axis, revealing functional mechanisms of KCNQ1OT1 and miR-186-5p in AML development.

Recent studies show that lncRNA KCNQ1OT1 and microRNA-186-5p (miR-186-5p) are involved in various human cancers.