Literature DB >> 30626634

Cell-Free SHOX2 DNA Methylation in Blood as a Molecular Staging Parameter for Risk Stratification in Renal Cell Carcinoma Patients: A Prospective Observational Cohort Study.

Maria Jung1, Jörg Ellinger2, Heidrun Gevensleben1, Isabella Syring2, Christine Lüders1, Luka de Vos3, Svenja Pützer1, Friedrich Bootz3, Jennifer Landsberg4, Glen Kristiansen1, Dimo Dietrich5.   

Abstract

BACKGROUND: Novel targeted treatments and immunotherapies have substantially changed therapeutic options for advanced and metastatic renal cell carcinomas (RCCs). However, accurate diagnostic tests for the identification of high-risk patients are urgently needed. Here, we analyzed SHOX2 mRNA expression in RCC tissues and SHOX2 gene body methylation quantitatively in circulating cell-free DNA (ccfDNA) and RCC tissues with regard to risk stratification.
METHODS: The clinical performance of SHOX2 methylation was tested retrospectively and prospectively in a training and testing cohort of RCC tissue samples (n = 760 in total). SHOX2 mRNA expression analysis was included in the training cohort. In matched blood plasma samples from the testing cohort (n = 100), we prospectively examined the capability of pretherapeutic quantitative SHOX2 ccfDNA methylation to assess disease stage and identify patients at high risk of death.
RESULTS: SHOX2 gene body methylation was positively correlated with mRNA expression in RCC tissues (training cohort: Spearman ρ = 0.23, P < 0.001). SHOX2 methylation in tissue and plasma strongly correlated with an advanced disease stage (training cohort: ρ = 0.28, P < 0.001; testing cohort/tissue: ρ = 0.40, P < 0.001; testing cohort/plasma: ρ = 0.34, P = 0.001) and risk of death after initial partial or radical nephrectomy [training cohort: hazard ratio (HR) = 1.40 (95% CI, 1.24-1.57), P < 0.001; testing cohort/tissue: HR = 1.16 (95% CI, 1.07-1.27), P = 0.001; testing cohort/plasma: HR = 1.50 (95% CI, 1.29-1.74), P < 0.001].
CONCLUSIONS: Pretherapeutic SHOX2 ccfDNA methylation testing allows for the identification of RCC patients at high risk of death after nephrectomy. These patients might benefit from an adjuvant treatment or early initiation of a palliative treatment.
© 2018 American Association for Clinical Chemistry.

Entities:  

Year:  2019        PMID: 30626634     DOI: 10.1373/clinchem.2018.297549

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  4 in total

1.  Liquid biopsies in renal cell carcinoma with focus on epigenome analysis.

Authors:  Alessia Cimadamore; Matteo Santoni; Francesco Massari; Liang Cheng; Antonio Lopez-Beltran; Marina Scarpelli; Rodolfo Montironi
Journal:  Ann Transl Med       Date:  2019-09

Review 2.  Emerging Molecular Technologies in Renal Cell Carcinoma: Liquid Biopsy.

Authors:  Alessia Cimadamore; Silvia Gasparrini; Francesco Massari; Matteo Santoni; Liang Cheng; Antonio Lopez-Beltran; Marina Scarpelli; Rodolfo Montironi
Journal:  Cancers (Basel)       Date:  2019-02-07       Impact factor: 6.639

3.  DNA methylation-based classification and identification of renal cell carcinoma prognosis-subgroups.

Authors:  Wenbiao Chen; Jia Zhuang; Peizhong Peter Wang; Jingjing Jiang; Chenhong Lin; Ping Zeng; Yan Liang; Xujun Zhang; Yong Dai; Hongyan Diao
Journal:  Cancer Cell Int       Date:  2019-07-16       Impact factor: 5.722

Review 4.  Circulating Tumor DNA in Patients with Renal Cell Carcinoma. A Systematic Review of the Literature.

Authors:  Louise Geertsen; Kristina Magaard Koldby; Mads Thomassen; Torben Kruse; Lars Lund
Journal:  Eur Urol Open Sci       Date:  2022-01-18
  4 in total

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