SAMD5 mRNA was overexpressed in prostate cancer and can predict biochemical recurrence after radical prostatectomy

  • Fei Li
  • Yong Xu
  • Ran-Lu LiuEmail author
Urology - Original Paper



To identify a novel biomarker that can predict biochemical recurrence (BCR) after radical prostatectomy.


The gene expression profile of SAMD5 in prostate cancer was explored based on the oncomine database and The Cancer Genomic Atlas (TCGA). The follow-up information and clinical pathologic variables were extracted from the following cohort study: TCGA_prostate carcinoma. And then, survival analysis was conducted using the Kaplan–Meier plot and Cox’s proportional hazard regression model. Furthermore, another independent cohort study: Taylor prostate, was also acquired to validate the predictive effect of SAMD5 on BCR. In addition, the expression profile of SAMD5 in other cancer types was investigated using TCGA dataset.


SAMD5 mRNA was shown to be up-regulated in multiple microarray datasets of prostate cancer with the strict statistic criteria: p < 0.01 and fold change ≥ 2. In TCGA_PCa cohort study, high expression of SAMD5 was a risk factor for patients on post-operative BCR (HR 2.181, 95%CI 1.199–3.966, p = 0.011) and this predictive ability was independent of Gleason score and pathologic T stage (HR 2.018, 95%CI 1.102–3.698, p = 0.023). In another validating cohort study, the statistic trend was similar, and the pooled analysis by combining the two cohort study further confirmed its prognostic effect.


SAMD5 mRNA was overexpressed in prostate cancer and had powerful prognostic ability on predicting post-operative BCR, independent of Gleason score and pathologic T stage. Its high expression was associated with poor prognosis after RP.


SAMD5 Biomarker Recurrence Prognosis Prostatic neoplasms 



Biochemical recurrence


Radical prostatectomy


The Cancer Genomic Atlas


Gene expression profiling interactive analysis


Transcripts per million


American Joint Committee on Cancer



This research was based on public database: TCGA and GEPIA, and we are grateful for the extraordinary works of these project groups. We thank Bioinformatics Engineer Rang-Fei Zhu for his excellent pretreatment of TCGA-PCa data.


This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Compliance with ethical standards

Conflict of interest

All the authors declare that they have no conflict of interest.

Ethical approval

The patients’ information involved in our research were obtained from The Cancer Genome Atlas (TCGA) and Taylor Prostate dataset. All the patients and treatments complied with the principles laid down in the Declaration of Helsinki in 1964 and its later amendments or comparable ethical standards.

Informed consent

Informed consent was confirmed by all the patients participated in the TCGA-Prostate adenocarcinoma project and Taylor prostate project.

Supplementary material

11255_2019_2096_MOESM1_ESM.tif (6.8 mb)
Supplementary material 1 Fig. S1 SAMD5 protein expression in Prostate cancer. a. The HPA research group detected SAMD5 protein expression in 10 prostate cancer samples via IHC technology, and found that 6 samples were stained with Low to medium strength. b. SAMD5 protein was shown to be expressed in prostate cancer cells (Brown dots) and located in cytoplasm or membrane. c. SAMD5 protein staining was negative in normal prostate tissue. (TIF 6927 KB)
11255_2019_2096_MOESM2_ESM.eps (1.7 mb)
Supplementary material 2 Fig. S2 Sensitive analysis of pooled HRs. a. The pooled HR calculated from univariable Cox regression model in two datasets was stable. After removing a specific study and calculating the pooled HR of the remaining study, both the point estimations dropped into the interval:1.25-3.09. b. The pooled HR calculated from multivariable Cox regression model in two datasets was stable. After removing a specific study and calculating the pooled HR of the remaining study, both the point estimations dropped into the interval:1.09-2.77. (EPS 1780 KB)


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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Department of Urology, National Key Clinical Specialty of UrologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
  2. 2.Department of UrologyRugao City People’s HospitalRugao CityChina

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