Molecular Subtyping in the Neoadjuvant Setting in Prostate Cancer: Envisioning the Possibilities

Author(s):  
Heather H. Cheng
Cancer ◽  
2015 ◽  
Vol 121 (9) ◽  
pp. 1422-1430 ◽  
Author(s):  
Stéphane Terry ◽  
Nathalie Nicolaiew ◽  
Victor Basset ◽  
Fannie Semprez ◽  
Pascale Soyeux ◽  
...  

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 9-9
Author(s):  
Felix Yi-Chung Feng ◽  
Scott Tomlins ◽  
Mohammed Alshalalfa ◽  
Nicholas Erho ◽  
Kasra Yousefi ◽  
...  

9 Background: Prostate cancer molecular subtypes based on ETS gene fusions and SPINK1 were originally identified through outlier gene expression profiling analysis. Such molecular subtypes may have utility in disease stratification and clonality assessment, complementing available purely prognostic tests. Hence, we determined the analytical validity of molecular subtyping in a large sample of PCa treated with radical prostatectomy. Methods: We analyzed Affymetrix Human Exon 1.0ST GeneChip expression profiles for 1,577 patients from 8 radical prostatectomy (RP) cohorts. Multi-feature random forest classifiers and outlier analysis were used to define microarray-based molecular subtypes. Results: A random forest (RF) classifier was trained and validated to predict ERG fusion status using a subset with known ERG rearrangement status defined by FISH, achieving >95% sensitivity and specificity in the validation subset. Less frequent rearrangements involving other ETS genes or SPINK1 over-expression were predicted based on gene expression outlier analysis. Across cohorts, 45%, 9% 8% and 38% of PCa were classified as ERG+, ETS+, SPINK+, and Triple Negative, respectively. Global gene expression analysis shows that the four subtypes could be collapsed into three entities (ERG+, ETS+ and SPINK+/Triple Negative) based on expression patterns and clinical characteristics similarity. A series of multivariable analyses further revealed, ERG+ to be associated with lower pre PSA and Gleason scores but more likely to have EPE and occur in patients with European American ancestry compared to the ETS+, SPINK+/Triple Negative tumors (p<0.001). In contrast, patients with ETS+ were more likely to have SVI compared to both ERG+ and SPINK/Triple Negative (p=0.01), while SPINK+/Triple Negative had higher Gleason scores and were more likely to occur in African Americans (p<0.001). Conclusions: The Decipher platform can accurately determine ERG rearrangement status and PCa molecular subtypes. Inclusion of molecular subtyping, such as m-ERG status, may enable additional precision medicine opportunities in prognostic tests


2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 251-251 ◽  
Author(s):  
Kobe Chi Yung Yuen ◽  
Ben Tran ◽  
Peter Gibbs ◽  
Angelyn Anton ◽  
Sanjeev Mariathasan ◽  
...  

251 Background: Immune checkpoint inhibitors (CPIs) (anti-CTLA4, anti-PD-1/PD-L1 mAbs) have had limited monotherapy activity in prostate cancer (PC) compared to urothelial cancer (UC). Recent biomarker studies revealed molecular features associated w/ better efficacy/resistance to CPIs in UC.1 Here we examined the tumor immune microenvironment (iTME) of hormone naïve/sensitive (HSPC) & castrate resistant prostate (CRPC) specimens from primary & metastatic sites, to determine if parallels to UC molecular correlates exist that will allow us to predict subsets of PC pts who are more likely to benefit from rational combination therapies w/ CPIs. Methods: Tumor FFPE archival tissues (HSPC, n = 98; CRPC, n = 46; Unk, n = 6) were sourced from a Royal Melbourne Hospital cohort of PC patients. Tissues were evaluated by H&E for TILs & IHC performed for PD-L1 (clones SP142 & SP263) & CD8. RNAseq was conducted & Lund bladder molecular subtyping performed during bioinformatics analyses. TCGA PRAD dataset was used for further validation. Results: We first applied Lund molecular subtyping to broadly categorize this cohort into luminal/basal subtypes. CRPC tumors were almost entirely luminal, whereas HSPC tumors were mainly basal. Luminal PC tumors enriched for Wnt gene sets (p = 0.026) & enriched for a genomically unstable (GU) subtype w/ higher expression of DNA damage repair (DDR) & cell cycle gene sets (p = 0.082). Compared to CRPC, HSPCs had higher numbers of infiltrating CD8s (p = 4.37e-004), increased expression of T-effector, MHC-I antigen presentation machinery, immune checkpoints, macrophages & activated stromal biology, including the fibroblast TGFβ response signature. PD-L1 on immune cells by SP142 & SP263 was 30% & 17% respectively & was enriched in HSPC samples (SP142: CRPC 18% vs. HSPC 34%, p = 0.08). Within patients w/ CRPC, differences were minimal between primary & metastatic samples. Conclusions: These analyses on the iTME contexture of PC reveal potentially actionable biological nodes for targeted therapies. These findings could inform future clinical strategies to improve CPI responses in CRPC & HSPC w/ rationale combinations.1. Mariathasan et al. Nature 2018.


2018 ◽  
Vol 17 (10) ◽  
pp. e2510
Author(s):  
c Cathal ◽  
N. Mccabe ◽  
D.P. Harkin ◽  
R. Kennedy ◽  
J. Blayney

2016 ◽  
Vol 26 (3) ◽  
pp. 213-218 ◽  
Author(s):  
Samuel D. Kaffenberger ◽  
Christopher E. Barbieri

2021 ◽  
Author(s):  
Jialin Meng ◽  
Yu Guan ◽  
Bijun Wang ◽  
Lei Chen ◽  
Junyi Chen ◽  
...  

Abstract Prostate cancer (PCa) is one of the most common malignancies in men all over the world. We performed molecular subtyping and prognostic assessment based on consensus genes in patients with PCa. Five cohorts containing 1,046 PCa patients with RNA expression profiles and recorded clinical follow-up information were included. Univariate, multivariate Cox regression analysis and the Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression was used to select prognostic genes and establish the signature. Immunohistochemistry staining, cell proliferation, migration and invasion assay were used to assess the biological function of key genes. 39 intersecting consensus prognostic genes from five independent cohorts were identified (P < 0.05). Subsequently, an eleven-consensus-gene-based classifier was established. Besides, multivariate Cox regression analyses proved that the classifier served as an independent indicator of recurrence-free survival in three of five cohorts. Combined receiver operating character (ROC) achieved synthesized effects by combining the classifier with clinicopathological features in four of five cohorts. SRD5A2 inhibits the cell proliferation, while ITGA11 promote cell migration and invasion, of which might through PI3K/AKT signaling pathway. To conclude, we establish and validate an eleven-consensus-gene-based classifier, which adds prognostic value to the currently available staging system.


Neoplasia ◽  
2012 ◽  
Vol 14 (7) ◽  
pp. 600-IN15 ◽  
Author(s):  
Paula Paulo ◽  
Franclim R. Ribeiro ◽  
Joana Santos ◽  
Diana Mesquita ◽  
Mafalda Almeida ◽  
...  

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