Dataset Information

RNSCLC-PRSP software to predict the prognostic risk and survival in patients with resected T1-3N0-2?M0 non-small cell lung cancer.

ABSTRACT: Background:The clinical outcomes of patients with resected T1-3N0-2M0 non-small cell lung cancer (NSCLC) with the same tumor-node-metastasis (TNM) stage are diverse. Although other prognostic factors and prognostic prediction tools have been reported in many published studies, a convenient, accurate and specific prognostic prediction software for clinicians has not been developed. The purpose of our research was to develop this type of software that can analyze subdivided T and N staging and additional factors to predict prognostic risk and the corresponding mean and median survival time and 1-5-year survival rates of patients with resected T1-3N0-2M0 NSCLC. Results:Using a Cox proportional hazard regression model, we determined the independent prognostic factors and obtained a prognostic index (PI) eq. PI?=???ixi.=0.379X1-0.403X2-0.267X51-0.167X61-0.298X62?+?0.460X71?+?0.617X72-0.344X81-0.105X91-0.243X92?+?0.305X101?+?0.508X102?+?0.754X103?+?0.143X111?+?0.170X112?+?0.434X113-0.327X122-0.247X123?+?0.517X133?+?0.340X134?+?0.457X143?+?0.419X144?+?0.407X145. Using the PI equation, we determined the PI value of every patient. According to the quantile of the PI value, patients were divided into three risk groups: low-, intermediate-, and high-risk groups with significantly different survival rates. Meanwhile, we obtained the mean and median survival times and 1-5-year survival rates of the three groups. We developed the RNSCLC-PRSP software which is freely available on the web at http://www.rnsclcpps.com with all major browsers supported to determine the prognostic risk and associated survival of patients with resected T1-3N0-2?M0 non-small cell lung cancer. Conclusions:After prognostic factor analysis, prognostic risk grouping and corresponding survival assessment, we developed a novel software program. It is practical and convenient for clinicians to evaluate the prognostic risk and corresponding survival of patients with resected T1-3N0-2M0 NSCLC. Additionally, it has guiding significance for clinicians to make decisions about complementary treatment for patients.

SUBMITTER: Zhang Y

PROVIDER: S-EPMC6708148 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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RNSCLC-PRSP software to predict the prognostic risk and survival in patients with resected T1-3N0-2 M0 non-small cell lung cancer.

Zhang Yunkui Y Li YaoChen Y Zhang Rongsheng R Zhang Yujie Y Ma Haitao H

BioData mining 20190823

<h4>Background</h4>The clinical outcomes of patients with resected T1-3N0-2M0 non-small cell lung cancer (NSCLC) with the same tumor-node-metastasis (TNM) stage are diverse. Although other prognostic factors and prognostic prediction tools have been reported in many published studies, a convenient, accurate and specific prognostic prediction software for clinicians has not been developed. The purpose of our research was to develop this type of software that can a ...[more]

PMID: 31462928

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Project description:BackgroundAlthough early-stage non-small-cell lung cancer (NSCLC) is considered a potentially curable disease following complete resection, patients have a wide spectrum of survival according to stage (IB, II, IIIA). Within each stage, gene expression profiles can identify patients with a higher risk of recurrence. We hypothesized that altered mRNA expression in nine genes could help to predict disease outcome: excision repair cross-complementing 1 (ERCC1), myeloid zinc finger 1 (MZF1) and Twist1 (which regulate N-cadherin expression), ribonucleotide reductase subunit M1 (RRM1), thioredoxin-1 (TRX1), tyrosyl-DNA phosphodiesterase (Tdp1), nuclear factor of activated T cells (NFAT), BRCA1, and the human homolog of yeast budding uninhibited by benzimidazole (BubR1).Methodology and principal findingsWe performed real-time quantitative polymerase chain reaction (RT-QPCR) in frozen lung cancer tissue specimens from 126 chemonaive NSCLC patients who had undergone surgical resection and evaluated the association between gene expression levels and survival. For validation, we used paraffin-embedded specimens from 58 other NSCLC patients. A strong inter-gene correlation was observed between expression levels of all genes except NFAT. A Cox proportional hazards model indicated that along with disease stage, BRCA1 mRNA expression significantly correlated with overall survival (hazard ratio [HR], 1.98 [95% confidence interval (CI), 1.11-6]; P = 0.02). In the independent cohort of 58 patients, BRCA1 mRNA expression also significantly correlated with survival (HR, 2.4 [95%CI, 1.01-5.92]; P = 0.04).ConclusionsOverexpression of BRCA1 mRNA was strongly associated with poor survival in NSCLC patients, and the validation of this finding in an independent data set further strengthened this association. Since BRCA1 mRNA expression has previously been linked to differential sensitivity to cisplatin and antimicrotubule drugs, BRCA1 mRNA expression may provide additional information for customizing adjuvant antimicrotubule-based chemotherapy, especially in stage IB, where the role of adjuvant chemotherapy has not been clearly demonstrated.

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Dataset Information

RNSCLC-PRSP software to predict the prognostic risk and survival in patients with resected T1-3N0-2?M0 non-small cell lung cancer.

Publications

RNSCLC-PRSP software to predict the prognostic risk and survival in patients with resected T<sub>1-3</sub>N<sub>0-2</sub> M<sub>0</sub> non-small cell lung cancer.

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