LncRNA profiles enable prognosis prediction and subtyping for esophageal squamous cell carcinoma
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ABSTRACT:
PROVIDER: PRJNA704364 | ENA |
REPOSITORIES: ENA
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Project description:Molecular subtyping is expected to enable bladder cancer (BC) precise treatment. However, reliable subtyping strategies for clinical application remains defective and controversial. Given the significance of tumor immune dysfunction and exclusion (TIDE) in tumor immune escape and immunotherapy, we aimed to develop a novel TIDE-based subtyping method to facilitate personalized management. Transcriptome data of BC was used to evaluate the heterogeneity and the status of TIDE patterns. We identified 69 TIDE biomarker genes and classified BC samples into three subtypes using consensus clustering. Subtype I showed the lowest TIDE status and malignancy with the best prognosis and highest sensitivity to immune checkpoint blockade (ICB) treatment, which was enriched of metabolic related signaling pathways. Subtype III represented the highest TIDE status and malignancy with the poorest prognosis and resistance to ICB treatment, resulting from its inhibitory immune microenvironment and T cell terminal exhaustion. Subtype II was in a transitional state with intermediate TIDE level, malignancy, and prognosis. We further confirmed the existence and characteristics of our novel TIDE subtypes using real-world BC samples. This subtyping method was proved to be more efficient than previous known methods in identifying non-responders to immunotherapy. We also propose that combining our TIDE subtypes with known biomarkers can potentially improve the sensitivity and specificity of these biomarkers. Moreover, besides guiding ICB treatment, this classification approach can assist in selecting the frontline or recommended drugs. Finally, we confirmed that the TIDE subtypes are conserved across the pan-tumors. In conclusion, our novel TIDE-based subtyping method can serve as a powerful clinical tool for BC and pan-cancer patients, and potentially guiding personalized therapy decisions for selecting potential beneficiaries and excluding resistant patients of ICB therapy.
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Project description:Esophageal squamous cell carcinoma (SCC) is frequently diagnosed at advanced stage and associated with poor prognosis. This study aimed to identify differentially expressed genes for further evaluated as biomarkers for predicting survival of the patients. Five paired of cancerous and normal tissues from esophageal SCC patients were subjected to cDNA microarray analysis and one of these differentially expressed genes, NEK6, was further verified in esophageal SCC tissues. The data showed 444 up-regulated genes and 918 down-regulated genes in tumor tissues (2 folds as a cut-off value). qRT-PCR data showed that 20 of 30 (66.7%) increased levels of NEK6 mRNA in cancerous tissues compared to that of distant normal tissues, while immunohistochemical data showed that 49/94 (52.13%) of the archived esophageal SCC tissues expressed higher levels of NEK6 than that of normal tissues. NEK6 expression was associated with depth of tumor invasion (P=0.005), lymph node metastasis (P=0.018), and advanced clinical tumor stages (P=0.004) of these 94 patients. Kaplan Meier curve showed that the overall survival of NEK6-positive patients was much lower than those of NEK6-negative patients (P<0.001). The median survival of NEK6-positive patients was 23 months, whereas the median survival of NEK6-negative patients was 64 months. The cumulative 5-year survival rate of NEK6-positive patients was 14.3% (7/49), whereas the rate of NEK6-negative patients was 64.4% (29/45). Multivariate analysis showed that N classification (P=0.002) and NEK6 expression (P<0.001) were independent predictors for esophageal SCC patients. These data demonstrated that NEK6 expression may serve as an independent prognostic indicator for patients with esophageal SCC. Gene expression in five paired of cancerous and normal tissues from esophageal SCC patients were measured using Human Genome 4x44K v2 Microarray.
2013-09-30 | E-GEOD-45168 | biostudies-arrayexpress
Project description:Esophageal squamous cell carcinoma (SCC) is frequently diagnosed at advanced stage and associated with poor prognosis. This study aimed to identify differentially expressed genes for further evaluated as biomarkers for predicting survival of the patients. Five paired of cancerous and normal tissues from esophageal SCC patients were subjected to cDNA microarray analysis and one of these differentially expressed genes, NEK6, was further verified in esophageal SCC tissues. The data showed 444 up-regulated genes and 918 down-regulated genes in tumor tissues (2 folds as a cut-off value). qRT-PCR data showed that 20 of 30 (66.7%) increased levels of NEK6 mRNA in cancerous tissues compared to that of distant normal tissues, while immunohistochemical data showed that 49/94 (52.13%) of the archived esophageal SCC tissues expressed higher levels of NEK6 than that of normal tissues. NEK6 expression was associated with depth of tumor invasion (P=0.005), lymph node metastasis (P=0.018), and advanced clinical tumor stages (P=0.004) of these 94 patients. Kaplan Meier curve showed that the overall survival of NEK6-positive patients was much lower than those of NEK6-negative patients (P<0.001). The median survival of NEK6-positive patients was 23 months, whereas the median survival of NEK6-negative patients was 64 months. The cumulative 5-year survival rate of NEK6-positive patients was 14.3% (7/49), whereas the rate of NEK6-negative patients was 64.4% (29/45). Multivariate analysis showed that N classification (P=0.002) and NEK6 expression (P<0.001) were independent predictors for esophageal SCC patients. These data demonstrated that NEK6 expression may serve as an independent prognostic indicator for patients with esophageal SCC.
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Project description:Profiles of esophageal squamous cell carcinoma and normal esophageal normal epithelium normal cell line. Analysis provides validation of novel microRNA targets prediction algorithms. esophageal squamous cell carcinoma:14, normal epithelium cell:2
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Project description:Preoperative chemoradiotherapy (CRT) followed by surgery has been proved to improve esophageal squamous cell carcinoma (ESCC) patientsM-bM-^@M-^Y survival in comparison with surgery alone. However, the outcomes of CRT are heterogeneous, and no clinical or pathological method could predict CRT response. We aim to identify mRNA markers for ESCC CRT-response prediction through gene expression analyses. Gene expression analyses were performed on pretreatment cancer biopsies from 28 ESCCs who received neoadjuvant CRT and surgery and 10 normal esophageal epithelia using Affymetrix U133 Plus 2.0 arrays.
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