Circulating Tumor Cell–Based Molecular Classifier for Predicting Resistance to Abiraterone and Enzalutamide in Metastatic Castration-Resistant Prostate Cancer

Autor: Yugang Wang, James Henderson, Udit Singhal, Ganesh S. Palapattu, Alexander Zaslavsky, Zachery R. Reichert, Jae Seung Chung, Daniel E. Spratt, Yuanyuan Qiao, Russell S. Taichman, Daniel H. Hovelson, Todd M. Morgan, Scott A. Tomlins
Jazyk: angličtina
Rok vydání: 2019
Předmět:
0301 basic medicine
Oncology
Male
Cancer Research
LHRH
luteinizing hormone-releasing hormone

Kaplan-Meier Estimate
CTC
circulating tumor cell

Prostate cancer
chemistry.chemical_compound
ARSI
androgen receptor signaling inhibitors

AUC
area under the curve

0302 clinical medicine
Circulating tumor cell
Prostate
Antineoplastic Combined Chemotherapy Protocols
Medicine
Neoplasm Metastasis
Aged
80 and over

Area under the curve
Middle Aged
Neoplastic Cells
Circulating

Prognosis
3. Good health
Prostatic Neoplasms
Castration-Resistant

medicine.anatomical_structure
Treatment Outcome
EpCAM
epithelial cell adhesion molecule

030220 oncology & carcinogenesis
Benzamides
Androstenes
IRB
institutional review board

medicine.medical_specialty
Original article
EMT
epithelial mesenchymal transition

03 medical and health sciences
Internal medicine
Nitriles
Phenylthiohydantoin
Biomarkers
Tumor

Enzalutamide
Humans
mCRPC
metastatic castrate-resistant prostate cancer

IQR
interquartile range

Aged
Neoplasm Staging
Proportional Hazards Models
business.industry
Gene Expression Profiling
TSPAN8
Computational Biology
medicine.disease
HR
hazard ratio

Gene expression profiling
Androgen receptor
030104 developmental biology
chemistry
Drug Resistance
Neoplasm

PFS
progression free survival

Neoplasm Grading
business
Zdroj: Neoplasia (New York, N.Y.)
ISSN: 1476-5586
1522-8002
Popis: While circulating tumor cell (CTC)–based detection of AR-V7 has been demonstrated to predict patient response to second-generation androgen receptor therapies, the rarity of AR-V7 expression in metastatic castrate-resistant prostate cancer (mCRPC) suggests that other drivers of resistance exist. We sought to use a multiplex gene expression platform to interrogate CTCs and identify potential markers of resistance to abiraterone and enzalutamide. 37 patients with mCRPC initiating treatment with enzalutamide (n = 16) or abiraterone (n = 21) were prospectively enrolled for CTC collection and gene expression analysis using a panel of 89 prostate cancer–related genes. Gene expression from CTCs was correlated with PSA response and radioclinical progression-free survival (PFS) using Kaplan-Meier and Cox regression analyses. Twenty patients (54%) had detectable CTCs. At a median follow-up of 11.3 months, increased expression of the following genes was significantly associated with shorter PSA PFS and radioclinical PFS: AR, AR-V7, PSA, PSCA, TSPAN8, NKX3.1, and WNT5B. Additionally, high SPINK1 expression was associated with increased PFS. A predictive model including all eight genes gave an area under the curve (AUC) of 0.84 for PSA PFS and 0.86 for radioclinical PFS. In comparison, the AR-V7 only model resulted in AUC values of 0.65 and 0.64.These data demonstrate that clinically relevant information regarding gene expression can be obtained from whole blood using a CTC-based approach. Multigene classifiers in this setting may allow for the development of noninvasive predictive biomarkers to guide clinical management.
Databáze: OpenAIRE