Dataset Information

Circular RNAs signature predicts the early recurrence of stage III gastric cancer after radical surgery.

ABSTRACT: Tumor recurrence is usually detected within one year after radical resection of stage III gastric cancer. This study aimed to establish the expression profile and determine potential circular RNAs (circRNAs) and predict the early recurrence of stage III gastric cancer. We identified 46 differently expressed circRNAs between cancer and adjacent normal tissues through circRNA microarray. We further screened eight indicators related to early recurrence. We subsequently divided the remaining cases into two cohorts. qRT-PCR results demonstrated a significantly different outcome between low and high expressed groups of four circRNAs in the training cohort. We then constructed a four-circRNA-based classifier to evaluate the risk of early recurrence and distinguished patients with a high risk from those with a low risk. The areas under the receiver operator characteristic curve (ROC) of this classifier were 0.763 and 0.711 in the two cohorts, respectively. A new formula could be established by combined the circRNA classifier with TNM stages. The areas under the ROC curve were 0.866 and 0.818 of the two cohorts, respectively. Our study suggested that this four-circRNA-based classifier yielded a predictive ability to the early recurrence of stage III gastric cancer after radical surgery.

SUBMITTER: Zhang Y

PROVIDER: S-EPMC5410275 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Circular RNAs signature predicts the early recurrence of stage III gastric cancer after radical surgery.

Zhang Yan Y Li Jin J Yu Jiang J Liu Hao H Shen Zhiyong Z Ye Gentai G Mou Tingyu T Qi Xiaolong X Li Guoxin G

Oncotarget 20170401 14

Tumor recurrence is usually detected within one year after radical resection of stage III gastric cancer. This study aimed to establish the expression profile and determine potential circular RNAs (circRNAs) and predict the early recurrence of stage III gastric cancer. We identified 46 differently expressed circRNAs between cancer and adjacent normal tissues through circRNA microarray. We further screened eight indicators related to early recurrence. We subsequently divided the remaining cases i ...[more]

PMID: 28206972

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Project description:Background: Nowadays, predictions of biochemical recurrence (BCR) in localized prostate cancer (PCa) patients after radical prostatectomy (RP) are mainly based on clinical parameters with a low predictive accuracy. Given the critical role of apoptosis in PCa occurrence and progression, we aimed to establish a novel predictive model based on apoptosis-related gene signature and clinicopathological parameters that can improve risk stratification for BCR and assist in clinical decision-making. Methods: Expression data and corresponding clinical information were obtained from four public cohorts, one from The Cancer Genome Atlas (TCGA) dataset and three from the Gene Expression Omnibus (GEO) dataset. Weighted gene co-expression network analysis (WGCNA) was performed to identify candidate modules closely correlated to BCR, and univariate and multivariate Cox regression analyses were utilized to build the gene signature. Time-dependent receiver operating curve (ROC) and Kaplan-Meier (KM) survival analysis were used to assess the prognostic value. Finally, we analyzed the expression of genes in the signature and validated the results using quantitative real-time PCR (qRT-PCR). Results: The novel gene signature we established exhibited a high prognostic value and was able to act as an independent risk factor for BCR [Training set: P < 0.001, hazard ratio (HR) = 7.826; Validation set I: P = 0.006, HR = 2.655; Validation set II: P = 0.003, HR = 4.175; Validation set III: P < 0.001, HR = 3.008]. Nomogram based on the gene signature and clinical parameters was capable of distinguishing high-risk BCR patients. Additionally, functional enrichment analysis showed several enriched pathways and biological processes, which might help reveal the underlying mechanism. The expression results of qRT-PCR were consistent with TCGA results. Conclusion: The apoptosis-related gene signature could serve as a powerful predictor and risk factor for BCR in localized PCa patients after RP.

Project description:The purpose of this prospective pilot study was to determine the efficacy of preoperative chemotherapy with six cycles of FOLFOX 6 (without radiation therapy) followed by radical surgery followed by six additional cycles of FOLFOX 6 for patients with stage II/III rectal cancer.From January 2010 to January 2014, patients with locally advanced rectal cancer who met the eligibility criteria were enrolled in this study. Patients received FOLFOX 6 chemotherapy comprising oxaliplatin and leucovorin calcium i.v. over 2 hours on day 1, then bolus, and then continuous fluorouracil i.v. over 46 hours on days 1 and 2. Treatment was repeated every 14 days for 6 courses followed by radical surgery followed by additional 6 cycles of FOLFOX 6.In total, 45 patients were enrolled in this study. In the preoperative re-evaluation, the overall response rate was 68.8% (clinical complete response was 4.4%, and the partial response was 64.4%). There were 14 cases (31.2%) of stable disease. No patients had progressive disease. Postoperatively, the pathologic complete response rate was 8 of 45 (17.8%; 95% confidence interval [CI]: 8.9%-28.9%). The median follow-up was 29 months (range 9-54 months). The actuarial 3-year overall survival and disease-free survival rates for all patients were 80.8% (standard error, 1.877; 95% CI: 69.3%-92.3%) and 67.9% (standard error, 2.319; 95% CI: 54.3%-81.5%), respectively.Neoadjuvant chemotherapy (FOLFOX) without radiotherapy is active and safe but cannot be considered a standard of care until the results of prospective randomized phase III trials are available.Neoadjuvant radiotherapy of rectal cancer represents the current standard of care. However, its use is also associated with short-term toxicity and long-term morbidity. With the increasing use of total mesorectal resection resulting in better local control and advances in systemic therapy for colorectal cancer, this study highlights the question of whether radiation is a necessary component of neoadjuvant therapy for all patients with rectal cancer or whether select patients could be spared the additional toxicities and inconvenience of radiotherapy. This study suggests that neoadjuvant FOLFOX without radiotherapy is active and safe, but it could not be considered a standard of care till now.

Project description:ObjectiveRecurrence remains the main cause of the poor prognosis in stage I-IIIA lung squamous cell carcinoma (LUSC) after surgical resection. In the present study, we aimed to identify the long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) related to the recurrence of stage I-IIIA LUSC. Moreover, we constructed a risk assessment model to predict the recurrence of LUSC patients.MethodsRNA sequencing data (including miRNAs, lncRNAs, and mRNAs) and relevant clinical information were obtained from The Cancer Genome Atlas (TCGA) database. The differentially expressed lncRNAs, miRNAs, and mRNAs were identified using the "DESeq2" package of the R language. Univariate Cox proportional hazards regression analysis and Kaplan-Meier curve were used to identify recurrence-related genes. Stepwise multivariate Cox regression analysis was carried out to establish a risk model for predicting recurrence in the training cohort. Moreover, Kaplan-Meier curves and receiver operating characteristic (ROC) curves were adopted to examine the predictive performance of the signature in the training cohort, validation cohort, and entire cohort.ResultsBased on the TCGA database, we analyzed the differentially expressed genes (DEGs) among 27 patients with recurrent stage I-IIIA LUSC and 134 patients with non-recurrent stage I-IIIA LUSC, and identified 431 lncRNAs, 36 miRNAs, and 746 mRNAs with different expression levels. Out of these DEGs, the optimal combination of DEGs was finally determined, and a nine-joint RNA molecular signature was constructed for clinical prediction of recurrence, including LINC02683, AC244517.5, LINC02418, LINC01322, AC011468.3, hsa-mir-6825, AC020637.1, AC027117.2, and SERPINB12. The ROC curve proved that the model had good predictive performance in predicting recurrence. The area under the curve (AUC) of the prognostic model for recurrence-free survival (RFS) was 0.989 at 3 years and 0.958 at 5 years (in the training set). The combined RNA signature also revealed good predictive performance in predicting the recurrence in the validation cohort and entire cohort.ConclusionsIn the present study, we constructed a nine-joint RNA molecular signature for recurrence prediction of stage I-IIIA LUSC. Collectively, our findings provided new and valuable clinical evidence for predicting the recurrence and targeted treatment of stage I-IIIA LUSC.

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Circular RNAs signature predicts the early recurrence of stage III gastric cancer after radical surgery.

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Circular RNAs signature predicts the early recurrence of stage III gastric cancer after radical surgery.

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