scholarly journals Population-Based Comparison of Different Risk Stratification Systems Among Prostate Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Mu Xie ◽  
Xian-Shu Gao ◽  
Ming-Wei Ma ◽  
Xiao-Bin Gu ◽  
Hong-Zhen Li ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Stratification ◽  
Cancer Patients ◽  
Proportional Hazards Model ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Chinese Patients ◽  
Operating Characteristics ◽  
Discrimination Ability

BackgroundIt is not known which risk stratification system has the best discrimination ability for predicting prostate cancer death.MethodsWe identified patients with non-metastatic primary prostate adenocarcinoma diagnosis between 2004 and 2015 using the Surveillance, Epidemiology, and End Results database. Patients were categorized in different risk groups using the three frequently used risk stratification systems of the National Comprehensive Cancer Network guideline (NCCN-g), American Urological Association guideline (AUA-g), and European Association of Urology guideline (EAU-g), respectively. Associations between risk classification and prostate cancer-specific mortality (PCSM) were determined using Kaplan–Meier analyses and multivariable regression with Cox proportional hazards model. Area under the receiver operating characteristics curve (AUC) analyses were used to test the discrimination ability of the three risk grouping systems.ResultsWe analyzed 310,062 patients with a median follow-up of 61 months. A total of 36,368 deaths occurred, including 6,033 prostate cancer deaths. For all the three risk stratification systems, the risk groups were significantly associated with PCSM. The AUC of the model relying on NCCN-g, AUA-g, and EAU-g risk stratification systems for PCSM at specifically 8 years were 0.818, 0.793, and 0.689 in the entire population; 0.819, 0.795, and 0.691 in Whites; 0.802, 0.777, and 0.681 in Blacks; 0.862, 0.818, and 0.714 in Asians; 0.845, 0.806, and 0.728 in Chinese patients. Regardless of the age, marital status, socioeconomic status, and treatment modality, AUC of the model relying on NCCN-g and AUA-g for PCSM was greater than that relying on EAU-g; AUC of the model relying on NCCN-g system was greater than that of the AUA-g system.ConclusionsThe NCCN-g and AUA-g risk stratification systems perform better in discriminating PCSM compared to the EAU-g system. The discrimination ability of the NCCN-g system was better than that of the AUA-g system. It is recommended to use NCCN-g to evaluate risk groups for prostate cancer patients and then provide more appropriate corresponding treatment recommendations.

scholarly journals Spirit-Quieting Traditional Chinese Medicine may Improve Survival in Prostate Cancer Patients with Depression

2019 ◽  
Vol 8 (2) ◽  
pp. 218
Author(s):  
Po-Hung Lin ◽  
Shun-Ku Lin ◽  
Ren-Jun Hsu ◽  
See-Tong Pang ◽  
Cheng-Keng Chuang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Cancer Patients ◽  
Proportional Hazards Model ◽  
Survival Curve ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Cancer Type

Depression is associated with higher mortality in prostate cancer. However, whether traditional Chinese medicine (TCM) for depression improves outcomes in patients with prostate cancer is unclear. This retrospective cohort study evaluated the association between TCM for depression and mortality in patients with prostate cancer. During the period 1998–2012, a total of 248 prostate cancer patients in Taiwan with depression were enrolled and divided into three groups: TCM for depression (n = 81, 32.7%), TCM for other purposes (n = 53, 21.3%), and no TCM (n = 114, 46.0%). During a median follow-up of 6.2 years, 12 (14.8%), 13 (24.5%), and 36 (31.6%) deaths occurred in the TCM for depression, TCM for other purposes, and no TCM groups, respectively. After adjusting age at diagnosis, urbanization, insured amount, comorbidity disease, and prostate cancer type, TCM for depression was associated with a significantly lower risk of overall mortality based on a multivariate-adjusted Cox proportional-hazards model (hazard ratio 0.42, 95% confidence interval: 0.21–0.85, p = 0.02) and Kaplan–Meier survival curve (log-rank test, p = 0.0055) compared to no TCM. In conclusion, TCM for depression may have a positive association with the survival of prostate cancer patients with depression.

scholarly journals Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Alexander Pearlman ◽  
Christopher Campbell ◽  
Eric Brooks ◽  
Alex Genshaft ◽  
Shahin Shajahan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Copy Number ◽  
Copy Number Alteration ◽  
Proportional Hazards Model ◽  
Metastatic Potential ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Data Set ◽  
Primary Tumors

The transition of cancer from a localized tumor to a distant metastasis is not well understood for prostate and many other cancers, partly, because of the scarcity of tumor samples, especially metastases, from cancer patients with long-term clinical follow-up. To overcome this limitation, we developed a semi-supervised clustering method using the tumor genomic DNA copy number alterations to classify each patient into inferred clinical outcome groups of metastatic potential. Our data set was comprised of 294 primary tumors and 49 metastases from 5 independent cohorts of prostate cancer patients. The alterations were modeled based on Darwin’s evolutionary selection theory and the genes overlapping these altered genomic regions were used to develop a metastatic potential score for a prostate cancer primary tumor. The function of the proteins encoded by some of the predictor genes promote escape from anoikis, a pathway of apoptosis, deregulated in metastases. We evaluated the metastatic potential score with other clinical predictors available at diagnosis using a Cox proportional hazards model and show our proposed score was the only significant predictor of metastasis free survival. The metastasis gene signature and associated score could be applied directly to copy number alteration profiles from patient biopsies positive for prostate cancer.

Intraprostatic calcification and biochemical recurrence in men treated with Cs-131 prostate brachytherapy.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 237-237
Author(s):  
Michael D Schad ◽  
Joshua L Rodríguez-López ◽  
Ankur Patel ◽  
Christopher J Houser ◽  
Zachary D Horne ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Biochemical Recurrence ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
External Beam Radiotherapy ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Prostate Brachytherapy

237 Background: Vigneault et al. reported that baseline intraprostatic calcification (IC) was associated with a higher risk of biochemical recurrence (BCR) in men treated with I-125 prostate brachytherapy (PB). Cs-131 has different physical properties than I-125. We assessed whether baseline IC was associated with BCR in men treated with Cs-131 PB. Methods: We retrospectively reviewed the records of all low-risk (LR), favorable intermediate-risk (FIR), and unfavorable IR (UIR) prostate cancer patients treated with Cs-131 PB +/- external beam radiotherapy (EBRT) from 2/2011 to 7/2018 at our institution. Patients who received hormone therapy or those with < 24 months follow-up were excluded. Baseline IC status (defined as 1 or more ICs ≥ 5 mm) and characteristics were determined on post-PB CT scans. Baseline patient characteristics were compared via χ2, Mann–Whitney U, or Student’s t-test. Predictors of BCR (Phoenix definition) were analyzed via Cox proportional hazards model and Kaplan–Meier survival curves were generated. Results: Two hundred and sixteen LR, FIR, and UIR prostate cancer patients treated with Cs-131 PB +/- EBRT were included. Median follow up was 56.9 months (range 24.1–111.4 months). 76 patients (35.2%) had baseline IC and 140 patients (64.8%) did not. Baseline disease characteristics did not differ significantly between patients with vs. without ICs. In patients with baseline IC, the median number of ICs was 1 (range 1–3), median length of largest IC was 9.1 mm (range 5.0–33.1), and median peak density of largest IC was 884 Hounsfield units (range 283–1744). ICs were most commonly present in the midgland (88.2%) and central (97.4%) regions. On univariate Cox analysis of all baseline disease, treatment, and IC characteristics, only initial PSA (p = 0.016) and NCCN risk group (p = 0.047) were significant predictors of BCR, whereas baseline IC was not (p = 0.11). The 5-year BCR-free survival in patients with vs. without baseline IC was 97.7% vs. 93.8% (p = 0.40), respectively. Conclusions: In a cohort of LR and IR prostate cancer patients treated with Cs-131 PB, the rate of BCR in men with baseline IC was low and baseline IC was not associated with a higher risk of BCR.

scholarly journals Simplifying the TNM System for Clinical Use in Differentiated Thyroid Cancer

2009 ◽  
Vol 27 (11) ◽  
pp. 1872-1878 ◽  
Author(s):  
Adedayo A. Onitilo ◽  
Jessica M. Engel ◽  
Catharina Ihre Lundgren ◽  
Per Hall ◽  
Lukman Thalib ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Disease Free Survival ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Cancer Specific Survival ◽  
Record System ◽  
Tnm System

Purpose The TNM stratification has been found useful at stratifying patients with differentiated thyroid carcinoma (DTC) into prognostic risk groups. However, it is cumbersome to implement clinically given the large number of bins within this system and the complicated system of arriving at stage information. Patients and Methods We decided to quantify each variable in this system to arrive at a simplified quantitative alternative to the TNM system (QTNM) and compare this with the conventional system. We used our electronic record system to identify 614 cases of DTC managed at our institution from 1987 to 2006. Cancer-specific survival (CSS) and disease-free survival (DFS) were calculated by the Kaplan-Meier method, and a simplified QTNM score was devised using a Cox proportional hazards model. Results We were able to quantify the TNM system as follows: 4 points each for age older than 45 years and presence of neck nodal metastases while 6 points for tumor size larger than 4 cm or extrathyroidal extension and 1 point for nonpapillary DTC. A sum of 0 to 5 points was low risk, 6 to 10 points intermediate, and 11 to 15 points high risk. Comparison with the conventional TNM system and two other systems revealed similar or better discrimination with the QTNM and this discrimination was maintained when this risk stratification was applied to a unique validation set. Conclusion The QTNM system as opposed to the conventional TNM system seems to be a simple and effective method for risk stratification for both recurrence and cancer-specific mortality.

scholarly journals A novel nomogram to predict the overall survival in esthesinoeroblastoma

2020 ◽  
Author(s):  
Lijie Jiang ◽  
Tengjiao Lin ◽  
Yu Zhang ◽  
Wenxiang Gao ◽  
Jie Deng ◽  
...  
Keyword(s):  
Overall Survival ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Validation Cohort ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Cancer Center ◽  
P Value ◽  
Training Cohort

Abstract Background Increasing evidence indicates that the pathology and the modified Kadish system have some influence on the prognosis of esthesioneuroblastoma (ENB). However, an accurate system to combine pathology with a modified Kadish system has not been established. Methods This study aimed to set up and evaluate a model to predict overall survival (OS) accurately in ENB, including clinical characteristics, treatment and pathological variables. We screened the information of patients with ENB between January 1, 1976, and December 30, 2016 from the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) program as a training cohort. The validation cohort consisted of patients with ENB at Sun Yat-sen University Cancer Center and The First Affiliated Hospital of Sun Yat-sen University in the same period, and 87 patients were identified. The Pearson’s chi-squared test was used to assess significance of clinicopathological and demographic characteristics. We used the Cox proportional hazards model to examine univariate and multivariate analyses. The model coefficients were used to calculate the Hazard ratios (HR) with 95% confidence intervals (CI). Prognostic factors with a p- value < 0.05 in multivariate analysis were included in the nomogram. The concordance index (c-index) and calibration curve were used to evaluate the predictive power of the nomogram. Results The c-index of training cohort and validation cohort are 0.737 (95% CI, 0.709 to 0.765) and 0.791 (95% CI, 0.767 to 0.815) respectively. The calibration curves revealed a good agreement between the nomogram prediction and actual observation regarding the probability of 3-year and 5-year survival. We used a nomogram to calculate the 3-year and 5-year growth probability and stratified patients into three risk groups. Conclusions The nomogram provided the risk group information and identified mortality risk and can serve as a reference for designing a reasonable follow-up plan.

Comorbidities and Myelodysplatic Syndromes.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2789-2789 ◽  
Author(s):  
Kiran Naqvi ◽  
Guillermo Garcia-Manero ◽  
Sagar Sardesai ◽  
Jeong Oh ◽  
Sherry Pierce ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Median Survival ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Kaplan Meier ◽  
Comorbidity Scores ◽  
Severe Comorbidity

Abstract Abstract 2789 Poster Board II-765 Background: Cancer patients often experience comorbidities that may affect their therapeutic options, prognosis, and outcome (1). Limited studies have evaluated the characteristics and impact of comorbidities in myelodysplastic syndromes (MDS). The aim of this study was to determine the effect of comorbidities on the survival of patients with MDS. Methods: We reviewed the medical records of 500 consecutive MDS patients who presented to MD Anderson Cancer Center from January 2002 to June 2004. The Adult Comorbidity Evaluation-27 (ACE-27), a validated 27-item comorbidity index for cancer patients (2), was used to assess the severity of comorbid conditions. For each patient, we obtained demographic data and specific staging information based on the International Prognostic Scoring System (IPSS). We also collected information on stem cell transplantation (SCT), mortality and survival. Kaplan-Meier methods and log-rank tests were used to assess survival. Multivariate analysis was performed using the Cox Proportional Hazards Model. Results: Of the 500 patients included in this study, 327 (65.4%) were male, and 436 (87.9%) were white; median age at presentation was 66.6 years (17.7, 93.5); mean duration of follow-up was 23.5 months (0, 88). A total of 49% of patients had IPSS intermediate-1 or lower risk. The ACE-27 comorbidity scores were as follows: none, 106 patients (21.2%); mild, 213 (42.6%); moderate, 108 (21.6%); and severe, 73 (14.6%). Three hundred and eighty one (76.2%) patients died, and 44 (8.8%) patients underwent SCT. Overall median survival using the Kaplan-Meier method was 17.6 months. Median survival according to ACE-27 scores was: 27.9 months for no comorbidity, 18.9 months for mild comorbidity, 15.2 months for moderate comorbidity, and 9.7 months for severe comorbidity. This trend reached statistical significance (p < 0.0001). The median survival by IPSS ranged from 40.9 months for patients in the low risk group versus 8.1 months for those in the high risk category (p < 0.0001). The hazards ratio obtained from the multivariate Cox Proportional Hazards Model was 1.5 and 2.0 for moderate and severe comorbidity scores when adjusted for age and IPSS (p < 0.0001). A linear trend was also observed between the severity of comorbidity and having received SCT (p = 0.001). Of the 44 patients who had SCT, 21 (47.7%) died. The median survival of patients who did not undergo stem cell transplantation ranged from 22.7 months for patients with no comorbidity to 9.3 months for patients with severe comorbidity (p = 0.0002). Conclusion: Comorbidities had a significant impact on the survival of patients with myelodysplastic syndrome. Patients with higher ACE-27 comorbidity scores had a shorter survival than those with no comorbidity, independent of their age and the IPSS risk group. Also patients with comorbid conditions received SCT less often than those without comorbidity. A comprehensive assessment of comorbidity is therefore needed to determine the prognosis in patients with MDS. References: (1) Extermann M. Measurement and impact of comorbidity in older cancer patients. Crit Rev Oncol Hematol. 2000;35:181-200. (1) Piccirillo JF, Tierney RM, Costas I, et al. Prognostic importance of comorbidity in a hospital-based cancer registry. JAMA. 2004;291:2441-47. Disclosures: No relevant conflicts of interest to declare.

Clinical outcomes of pancreas cancer patients with peritoneal spread: Results from the chord consortium.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19268-e19268
Author(s):  
Mehrnoosh Pauls ◽  
Abdulaziz AlJassim AlShareef ◽  
Winson Y. Cheung ◽  
Rachel Anne Goodwin ◽  
Brandon M. Meyers ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Cancer Patients ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Advanced Pancreatic Cancer ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
First Line ◽  
The Impact ◽  
Line Chemotherapy

e19268 Background: Prior studies have demonstrated that clonal cells that give rise to pancreatic peritoneal metastases (PM) are geographically and genetically distinct from clonal cells, giving rise to lung and liver metastases. The objective of this study was to assess if there is a distinct difference in prognosis and therapeutic response among patients with pancreatic cancer with (PM compared to the lung/liver. Methods: Using a retrospective cohort design, medical records from adult patients diagnosed with metastatic adenocarcinoma of the pancreas at five Canadian academic cancer centers (2014 - 2019) were reviewed. Prognostic variables including age, Charlson comorbidity index, ECOG, cigarette smoking, nodal status, sites of metastases, and first line chemotherapy were collected. Cox proportional hazards model (MVA) was used to examine the association between peritoneal involvement and survival, adjusted for measured confounders. Analyses were completed using SAS, where alpha of 0.05 was defined as the level of significance. Results: A total of 1161 patients were included. Metastatic sites included peritoneum (n = 170, 14.6%), lung (n = 145, 12.5%) and liver (n = 563, 48.5%). Patients with PM received first-line FOLFIRINOX (FFX, n = 31), Gemcitabine + nab-paclitaxel (G/N, n = 20), Gemcitabine (G, n = 18), and no treatment (n = 97). In univariate analyses, worse ECOG PS was associated with PM (p = 0.002). The majority of patients died (89%), with a median overall survival (OS) of 3 vs 7 months for patients with PM and those without PM (p < 0.001), respectively. The median OS in patient whom receive first-line chemotherapy was 7 months in FFX group (95% CI 1.66-12.33), 6 months in G/N (95% CI 4.54-7.45) and 2 months in G group (95% CI 1.42-2.57). Patients had significantly better OS when treated with FFX or G/N compared to G alone (p = 0.002). Time to treatment failure was significantly shorter among patient treated with G alone compare to patients treated with FFX and G/N (P < 0.005). Conclusions: In the setting of combination chemotherapy for advanced pancreatic cancer, patients with PM continue to have a poor prognosis. This may be due to the impact of PM on PS and the inability to administer palliative chemotherapy. For eligible patients, FFX or G/N results in a higher OS than G monotherapy.

scholarly journals Fish intake and the risk of fatal prostate cancer: findings from a cohort study in Japan

2009 ◽  
Vol 12 (5) ◽  
pp. 609-613 ◽  
Author(s):  
Truong-Minh Pham ◽  
Yoshihisa Fujino ◽  
Tatsuhiko Kubo ◽  
Reiko Ide ◽  
Noritaka Tokui ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cohort Study ◽  
Fish Consumption ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Inverse Association ◽  
High Intake ◽  
Risk Of Death

AbstractObjectiveWe investigated the relationship between the intake of fish and the risk of death from prostate cancer.DesignData were derived from a prospective cohort study in Japan. Fish consumption obtained from a baseline questionnaire was classified into the two categories of ‘low intake’ and ‘high intake’. The Cox proportional hazards model was used to estimate hazard ratios (HR) and 95 % confidence intervals.SubjectsData for 5589 men aged 30–79 years were analysed.ResultsA total of twenty-one prostate cancer deaths were observed during 75 072 person-years of follow-up. Mean age at baseline study of these twenty-one subjects was 67·7 years, ranging from 47 and 79 years old. Results showed a consistent inverse association of this cancer between the high v. low intake groups. The multivariate model adjusted for potential confounding factors and some other food items showed a HR of 0·12 (95 % CI 0·05, 0·32) for the high intake group of fish consumption.ConclusionsThese results support the hypothesis that a high intake of fish may decrease the risk of prostate cancer death. Given the paucity of studies examining the association between prostate cancer and fish consumption, particularly in Asian populations, these findings require confirmation in additional cohort studies.

scholarly journals Prognostic Nomogram for Patients With Unresectable Pancreatic Cancer Treated With Gemcitabine Plus Nab-paclitaxel or FOLFIRINOX: Real-world Results From a Multicenter Retrospective Study (NAPOLEON study).

2020 ◽  
Author(s):  
Taro Shibuki ◽  
Toshihiko Mizuta ◽  
Mototsugu Shimokawa ◽  
Futa Koga ◽  
Yujiro Ueda ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Risk Stratification ◽  
Proportional Hazards Model ◽  
Group Performance ◽  
Performance Status ◽  
Eastern Cooperative Oncology Group ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Calibration Plot ◽  
Unresectable Pancreatic Cancer

Abstract Background No reliable nomogram has been developed until date for predicting the survival in patients with unresectable pancreatic cancer undergoing treatment with gemcitabine plus nab-paclitaxel (GnP) or FOLFIRINOX (FFX).Methods This analysis was conducted using clinical data of patients with unresectable pancreatic cancer undergoing GnP or FFX treatment obtained from a multicenter study (NAPOLEON study). A Cox proportional hazards model was used to identify the independent prognostic factors. A nomogram to predict 6-, 12-, and 18-month survival probabilities was generated, validated by using the concordance index (C-index), and calibrated by the bootstrapping method. And then, we attempted risk stratification for survival by classifying the patients according to the sum of the scores on the nomogram (total nomogram points; TNP).Results A total of 318 patients were enrolled. A prognostic nomogram was generated using data on the Eastern Cooperative Oncology Group performance status, liver metastasis, serum LDH, serum CRP, and serum CA19-9. The C-indexes of the nomogram were 0.77, 0.72 and 0.70 for 6-, 12-, and 18-month survival, respectively. The calibration plot showed optimal agreement at all points. Risk stratification based on tertiles of the TNP yielded clear separations of the survival curves. The median survival times in the low-, moderate-, and high-risk groups were 15.8, 12.8 and 7.8 months (P<0.05), respectively.Conclusions: Our nomogram is a convenient and inexpensive tool to accurately predict survival in patients with unresectable pancreatic cancer undergoing treatment with GnP or FFX, and will help clinicians in selecting appropriate therapeutic strategies for individualized management.

FGFR1, a new FISH biomarker, to predict recurrence of prostate cancer after prostatectomy.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 100-100
Author(s):  
Ying Zhang ◽  
Jing Du ◽  
Ping Liu ◽  
Lela Buckingham ◽  
Tracey Colpitts ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Survival Analysis ◽  
Proportional Hazards Model ◽  
Critical Role ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Prognostic Indicators ◽  
Negative Group ◽  
Positive Group ◽  
Risk Of Recurrence

100 Background: To identify prostate cancer (CaP) with high recurrence risk after Radical Prostatectomy (RP) is a challenge. FGFR1 (Fibroblast Growth Factor Receptor 1) plays a critical role in prostate development and tumorigenesis. In this study, we explored the possibility of using FGFR1 fluorescence in situ hybridization (FISH) to predict recurrence after RP in the Formalin fixed paraffin embedded (FFPE) tissue from CaP patients. Methods: FFPE histological specimens from 52 RP cases were evaluated with FGFR1 (8p12) / CEP 8 probe mix. While 32 of the 52 patients recurred within 5 years (PSA progression or death of disease), and 20 remained disease-free with 8 to 15 years. Median age of patients was 62 with Gleason Score range from 4 to 9. Percent of FGFR1 gain and FGFR1 loss per specimen, as well as mean number of FGFR1 signals per specimen were calculated. CEP8 was used as a control to assess hybridization quality. Statistical analysis (Cox Proportional Hazards model) was conducted using SAS 9.2. Results: Survival analysis demonstrated that percent FGFR1 loss in a specimen could identify recurrent CaP with the Harzard Ratio (HR) of 3.34 (p=0.0011), which indicated that the risk of recurrence for FGFR1 loss-positive group is 3.34 times than that for FGFR1 loss-negative group. On the other hand, survival analysis of the percent FGFR1 gain showed that FGFR1 gain (amplification) is favorable for survival with HR of 0.36 (p=0.0043), which indicated that the risk of recurrence for FGFR1 gain-positive group is 0.36 times than that for FGFR1 gain-negative group. By using mean FGFR1 signals per specimen in the Kaplan-Meier analysis, the patient specimens stratified into three distinct groups (overall logrank p=0.0011): normal for FGFR1, FGFR1 gain (more favorable outcome), and FGFR1 loss (highest risk of recurrence). Conclusions: This study shows the utility of FGFR1 copy number abnormalities in CaP. Our results indicate that gain and loss of FGFR1 may have a different effect on disease recurrence. Therefore, FGFR1 FISH may provide predictive value for CaP recurrence in post RP patients, either by itself, or as an adjunct to the currently clinical prognostic indicators.

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