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Prognostic value of blood mRNA expression signatures in castration-resistant prostate cancer: a prospective, two-stage study.

ABSTRACT: BACKGROUND:Biomarkers are urgently needed to dissect the heterogeneity of prostate cancer between patients to improve treatment and accelerate drug development. We analysed blood mRNA expression arrays to identify patients with metastatic castration-resistant prostate cancer with poorer outcome. METHODS:Whole blood was collected into PAXgene tubes from patients with castration-resistant prostate cancer and patients with prostate cancer selected for active surveillance. In stage I (derivation set), patients with castration-resistant prostate cancer were used as cases and patients under active surveillance were used as controls. These patients were recruited from The Royal Marsden Hospital NHS Foundation Trust (Sutton, UK) and The Beatson West of Scotland Cancer Centre (Glasgow, UK). In stage II (validation-set), patients with castration-resistant prostate cancer recruited from the Memorial Sloan-Kettering Cancer Center (New York, USA) were assessed. Whole-blood RNA was hybridised to Affymetrix U133plus2 microarrays. Expression profiles were analysed with Bayesian latent process decomposition (LPD) to identify RNA expression profiles associated with castration-resistant prostate cancer subgroups; these profiles were then confirmed by quantative reverse transcriptase (qRT) PCR studies and correlated with overall survival in both the test-set and validation-set. FINDINGS:LPD analyses of the mRNA expression data divided the evaluable patients in stage I (n=94) into four groups. All patients in LPD1 (14 of 14) and most in LPD2 (17 of 18) had castration-resistant prostate cancer. Patients with castration-resistant prostate cancer and those under active surveillance comprised LPD3 (15 of 31 castration-resistant prostate cancer) and LDP4 (12 of 21 castration-resistant prostate cancer). Patients with castration-resistant prostate cancer in the LPD1 subgroup had features associated with worse prognosis and poorer overall survival than patients with castration-resistant prostate cancer in other LPD subgroups (LPD1 overall survival 10·7 months [95% CI 4·1-17·2] vs non-LPD1 25·6 months [18·0-33·4]; p<0·0001). A nine-gene signature verified by qRT-PCR classified patients into this LPD1 subgroup with a very low percentage of misclassification (1·2%). The ten patients who were initially unclassifiable by the LPD analyses were subclassified by this signature. We confirmed the prognostic utility of this nine-gene signature in the validation castration-resistant prostate cancer cohort, where LPD1 membership was also associated with worse overall survival (LPD1 9·2 months [95% CI 2·1-16·4] vs non-LPD1 21·6 months [7·5-35·6]; p=0·001), and remained an independent prognostic factor in multivariable analyses for both cohorts. INTERPRETATION:Our results suggest that whole-blood gene profiling could identify gene-expression signatures that stratify patients with castration-resistant prostate cancer into distinct prognostic groups. FUNDING:AstraZeneca, Experimental Cancer Medicine Centre, Prostate Cancer Charity, Prostate Cancer Foundation.

SUBMITTER: Olmos D

PROVIDER: S-EPMC4878433 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature

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Prognostic value of blood mRNA expression signatures in castration-resistant prostate cancer: a prospective, two-stage study.

Olmos David D Brewer Daniel D Clark Jeremy J Danila Daniel C DC Parker Chris C Attard Gerhardt G Fleisher Martin M Reid Alison Hm AH Castro Elena E Sandhu Shahneen K SK Barwell Lorraine L Oommen Nikhil Babu NB Carreira Suzanne S Drake Charles G CG Jones Robert R Cooper Colin S CS Scher Howard I HI de Bono Johann S JS

The Lancet. Oncology 20121009 11

<h4>Background</h4>Biomarkers are urgently needed to dissect the heterogeneity of prostate cancer between patients to improve treatment and accelerate drug development. We analysed blood mRNA expression arrays to identify patients with metastatic castration-resistant prostate cancer with poorer outcome.<h4>Methods</h4>Whole blood was collected into PAXgene tubes from patients with castration-resistant prostate cancer and patients with prostate cancer selected for active surveillance. In stage I ...[more]

PMID: 23059046

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Project description:The Glasgow prognostic score, a marker of systemic inflammation, is associated with clinical outcomes in different cancers including prostate cancer. However, there is no evidence for the relationship between the high-sensitivity modified Glasgow prognostic score (Hs-mGPS) in prostate cancer and its prognosis. This study aimed to investigate the prognostic significance of Hs-mGPS in castration-resistant prostate cancer (CRPC) treated with docetaxel. We retrospectively analyzed clinical datasets from 131 CRPC patients who received docetaxel treatment at Chiba University Hospital and a related hospital. Clinical factors including Hs-mGPS before docetaxel treatment were evaluated according to overall survival. The numbers of patients with Hs-mGPS of 0, 1, and 2 were 88, 30, and 13, respectively. The median prostate-specific antigen (PSA) level was 28.9 ng/mL. The median testosterone level was 13.0 ng/dL. The percentages of bone and visceral metastases were 80.8% and 10.2%, respectively. For overall survival, Hs-mGPS ≥ 1 (hazard ratio of 2.41; p = 0.0048), testosterone ≥ 13.0 ng/dL (hazard ratio of 2.23; p = 0.0117), and PSA ≥ 28.9 ng/mL (hazard ratio of 2.36; p = 0.0097) were significant poor prognostic factors in the multivariate analysis. The results of the two-group analysis showed that a higher Hs-mGPS was associated with high PSA, alkaline phosphatase, and testosterone levels. The median testosterone levels for Hs-mGPS of 0, 1, and 2 were 9.0, 16.5, and 23.0, respectively. Based on the multivariate analysis, we created a combined score with three prognostic factors: Hs-mGPS, testosterone, and PSA. The low-risk group (score of 0-1) showed a significantly longer overall survival compared to the intermediate-risk (score of 2-3) and high-risk (score of 4) groups (p < 0.0001). Our results demonstrated that an elevated Hs-mGPS was an independent prognostic factor in CRPC patients treated with docetaxel therapy. Risk classification based on Hs-mGPS, testosterone, and PSA may be useful in predicting the prognosis of CRPC patients.

Project description:BackgroundThe lung immune prognostic index (LIPI) was first reported to predict the effectiveness of immune checkpoint inhibitors in patients with metastatic non-small cell lung cancer and there are no studies investigating the predictive value of LIPI for patients with PCa. This study explores the prognostic value of the LIPI in patients with metastatic hormone-sensitive prostate cancer (mHSPC) and metastatic castration-resistant prostate cancer (mCRPC).MethodsData from 502 patients with mHSPC primarily treated with maximal androgen blockade (MAB; 89% of patients received MAB) and 158 patients with mCRPC who received abiraterone were retrospectively analyzed. All cases were classified into LIPI-good, LIPI-intermediate, and LIPI-poor groups based on their LIPI score as calculated with the derived neutrophil-to-lymphocyte ratio and lactate dehydrogenase level. The potential for LIPI to be used in predicting mCRPC-free survival (CFS), prostate-specific antigen (PSA) response, PSA-progression-free survival (PSA-PFS), and overall survival (OS) was analyzed. A propensity score matching (PSM) methodology was performed to balance the baseline factors of the different groups.ResultsIn the mHSPC cohort, patients of the LIPI-good (mCFS: 25.7 months; mOS: 93.3 months), LIPI-intermediate (mCFS: 14.8 months; mOS: 51.9 months), and LIPI-poor group (mCFS: 6.8 months; mOS: 18.5 months) had sequentially worse clinical outcomes (P<0.001 for all pairwise comparisons). The results remained consistent after PSM. Multivariate Cox regression further confirmed that LIPI was an independent predictor of survival outcomes. Subgroup analysis verified that LIPI was associated with an unfavorable prognosis in all subgroups except for cases with visceral metastases or those receiving abiraterone or docetaxel. As for patients with mCRPC receiving abiraterone, LIPI was also an indicator of poor prognosis. Specifically, cases in the LIPI-good, LIPI-intermediate, and LIPI-poor groups had a ladder-shaped worse PSA response [71.4% (50/70) vs. 56.5% (39/69) vs. 36.8% (7/19); P=0.015], PSA-PFS (14.9 vs. 9.3 vs. 3.1 months; P<0.001), and OS (14.6 vs. 32.3 vs. 53.4 months; P<0.001). The results were robust even after PSM. Multivariate Cox regression confirmed that LIPI was an independent prognosticator of PSA-PFS and OS in patients with mCRPC treated with abiraterone.ConclusionsThis study demonstrated that the baseline LIPI was a significant prognostic biomarker for patients with both mHSPC and mCRPC and could potentially facilitate risk classification and clinical decision-making.

Dataset Information

Prognostic value of blood mRNA expression signatures in castration-resistant prostate cancer: a prospective, two-stage study.

Publications

Prognostic value of blood mRNA expression signatures in castration-resistant prostate cancer: a prospective, two-stage study.

Similar Datasets

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