Literature DB >> 35968320

A novel 8-gene panel for prediction of early biochemical recurrence in patients with prostate cancer after radical prostatectomy.

Jinan Guo1,2, Chenhui Zhao3, Xinzhou Zhang4, Zhong Wan5, Tingting Chen6, Jiashun Miao6, Jinping Cai6, Wenchuan Xie6, Hao Chen6, Mengli Huang6, Xiaochen Zhao6, Wei Wei7, Qi Shen8.   

Abstract

Approximately 25% of prostate cancer (PCa) cases experience biochemical recurrence (BCR) following radical prostatectomy (RP). The patients with BCR, especially with BCR ≤2 year after RP (early BCR), are more likely to develop clinical metastasis and castration resistance. Now decision-making regarding BCR after RP relies solely on clinical parameters. We thus attempted to establish an early BCR-risk prediction model by combining a molecular signature with clinicopathological features for guiding clinical decision-making. In this study, an 8-gene signature was derived, and these eight genes were SPTBN2, LGI3, TGM3, LENG9, HAS3, SLC25A27, PCDHGA1, and ADPRHL1. The Kaplan-Meier analysis revealed a significantly prolonged BCR-free survival in the patients with low-risk scores compared to those with high-risk scores in both training and validation datasets. Harrell's concordance index and time-dependent receiver operating characteristic analysis demonstrated that this gene signature tended to outperform three commercial panels at early BCR prediction. Moreover, this signature was also proven as an independent predictor of BCR-free survival. A nomogram, incorporating the gene signature and clinicopathologic features, was constructed and excellently predicted 1-, 2- and 3-year BCR-free survival of localized PCa patients after RP. Gene set enrichment analysis, tumor immunity, and mRNA expression profiling analysis showed that the high-risk group was more prone to the immunosuppressive microenvironment and impaired DNA damage response than the low-risk group. Collectively, we successfully developed a novel 8-gene signature as a powerful predictor for early BCR after RP and created a prognostic nomogram, which may help inform the clinical management of PCa. AJCR
Copyright © 2022.

Entities:  

Keywords:  Prostate cancer; biochemical recurrence; biochemical recurrence-free survival; gene signature; risk stratification

Year:  2022        PMID: 35968320      PMCID: PMC9360249     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   5.942


  51 in total

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Journal:  Cancer Cell       Date:  2018-12-10       Impact factor: 31.743

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Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
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5.  Construction and Validation of a Robust Cancer Stem Cell-Associated Gene Set-Based Signature to Predict Early Biochemical Recurrence in Prostate Cancer.

Authors:  Bide Liu; Xun Li; Jiuzhi Li; Hongyong Jin; Hongliang Jia; Xiaohu Ge
Journal:  Dis Markers       Date:  2020-10-09       Impact factor: 3.434

Review 6.  The natural history of prostate cancer.

Authors:  Brian Kessler; Peter Albertsen
Journal:  Urol Clin North Am       Date:  2003-05       Impact factor: 2.241

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Authors:  Xin Chen; Shizhong Xu; Michael McClelland; Farah Rahmatpanah; Anne Sawyers; Zhenyu Jia; Dan Mercola
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9.  Increased frequency of germline BRCA2 mutations associates with prostate cancer metastasis in a racially diverse patient population.

Authors:  Gyorgy Petrovics; Douglas K Price; Hong Lou; Yongmei Chen; Lisa Garland; Sara Bass; Kristine Jones; Indu Kohaar; Amina Ali; Lakshmi Ravindranath; Denise Young; Jennifer Cullen; Tiffany H Dorsey; Isabell A Sesterhenn; Stephen A Brassell; Inger L Rosner; Doug Ross; William Dahut; Stefan Ambs; William Douglas Figg; Shiv Srivastava; Michael Dean
Journal:  Prostate Cancer Prostatic Dis       Date:  2018-12-12       Impact factor: 5.554

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