Treatment outcome and identification of factors influencing overall survival after Lu-177-PSMA-617 radioligand therapy in metastatic prostate cancer

2021 ◽  
Author(s):  
Charlotte A. Schneider ◽  
Philipp Täger ◽  
Jochen Hammes ◽  
Thomas Fischer ◽  
Alexander Drzezga ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Alkaline Phosphatase ◽  
Regression Analysis ◽  
Cox Regression ◽  
Specific Antigen ◽  
Castration Resistant Prostate Cancer ◽  
Radioligand Therapy ◽  
Cox Regression Analysis ◽  
Cumulative Activity

Abstract Objective To examine the clinical benefit of Lu-177-PSMA-617 radioligand therapy for patients with metastatic castration-resistant prostate cancer (mCRPC). Patients and Methods Between November 2014 and December 2018, a total of 56 consecutive patients (median age 69.5 years; range 55–84 years) with mCRPC were included in this retrospective analysis. Patients received between 1 and 4 therapy cycles with a mean activity of 6.8 GBq per cycle. Biochemical response was evaluated using Prostate Cancer Working Group Criteria 3 (PCWG 3). Survival was assessed using Kaplan-Meier estimates and Cox proportional hazards regression analysis. This retrospective study was approved by the local ethics committee. Results A total of 139 treatment cycles with Lu-177-PSMA-617 were performed. A decline of 50% or more of prostate-specific antigen (PSA) level occurred in 54% and a PSA decline of any amount in 65% of patients. The estimated median overall survival (OS) was 16 months, in the chemotherapy subgroup 14 months. A longer OS was associated with a PSA-decline ≥50%, more than 2 cycles of therapy, cumulative activity >15 GBq and an initial alkaline phosphatase ≤ 220 [U/l]. These identified predictors remained significant on uni- and multivariate Cox regression analysis. Moreover, 40% of the patients who were non-responders after the first therapy cycle turned into responders after the second one. Conclusion PSA-decline ≥50%, a cumulative activity >15 GBq and an initial alkaline phosphatase ≤ 220 [U/l] were identified as key predictors of prolonged OS in patients with mCRPC. In contrast rapid clinical deterioration mostly due to skeletal carcinomatosis resulted in early treatment failure.

Patient experience with service quality: Implications for survival outcomes in prostate cancer.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 39-39
Author(s):  
Christopher G. Lis ◽  
Maurie Markman ◽  
Mark Rodeghier ◽  
Digant Gupta
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Regression Analysis ◽  
Service Quality ◽  
Patient Experience ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Risk Of Mortality ◽  
Patient Reported

39 Background: Prostate cancer is the second leading cause of cancer death among U.S. men. While self-reported quality of life has been shown to be prognostic of survival, there has been limited exploration of whether a patient’s assessment of the overall quality-of-care received might influence survival in prostate cancer. We evaluated the relationship between patient-reported experience with service quality and overall survival in prostate cancer. Methods: 832 returning prostate cancer patients treated at Cancer Treatment Centers of America between July 2007 and December 2010. Overall patient experience (“considering everything, how satisfied are you with your overall experience?”) was measured on a 7-point Likert scale ranging from “completely dissatisfied” to “completely satisfied”. It was dichotomized into 2 categories: top box response (7) versus all others (1-6). Cox regression was used to evaluate the association between patient experience and survival. Results: 560 patients were newly diagnosed while 272 had been previously treated. Majority of patients (n=570, 68.5%) had stage II disease at diagnosis. The mean age was 63.6 years. By the time of this analysis, 93 (11.2%) patients had expired. 710 (85.3%) patients were “completely satisfied” with the service quality they received while 122 (14.7%) patients were not. Median overall survival was 47.9 months. On univariate Cox regression analysis, “completely satisfied” patients had a significantly lower risk of mortality compared to those not “completely satisfied” (HR=0.48; 95% CI: 0.30-0.78; p=0.003). On multivariate Cox regression analysis controlling for stage at diagnosis, treatment history and age, “completely satisfied” patients demonstrated significantly lower mortality (HR=0.50; 95% CI: 0.29-0.87; p=0.01) compared to those not “completely satisfied”. Conclusions: Patient experience with service quality was an independent predictor of survival in prostate cancer. Based on this provocative observation, it is reasonable to suggest that further exploration of a possible meaningful relationship between patient perceptions of the care they have received and outcome in prostate cancer is indicated.

scholarly journals Treatment-Emergent Co-Morbidities and Survival in Patients With Metastatic Castration-Resistant Prostate Cancer Receiving Abiraterone or Enzalutamide

2021 ◽  
Vol 12 ◽  
Author(s):  
Yi-Ting Lin ◽  
Yen-Chun Huang ◽  
Chih-Kuan Liu ◽  
Tian-Shyug Lee ◽  
Mingchih Chen ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Hormone Therapy ◽  
Cox Regression ◽  
Castration Resistant Prostate Cancer ◽  
Drug Induced ◽  
Cox Regression Analysis ◽  
Castration Resistant ◽  
Significant Difference ◽  
Taiwan National Health Insurance

Secondary hormone therapy, abiraterone and enzalutamide, has improved outcomes for metastatic castration-resistant prostate cancer (mCRPC) and prolonged patients’ lives significantly. Various studies have compared the cancer-related outcomes, adverse effects, and drug-induced comorbidities in patients with mCRPC who are treated with abiraterone or enzalutamide. However, few studies have explored associations between survival and comorbidities or comprehensive analyzed newly developed comorbidities during and after secondary hormone therapy. We attempted to clarify whether the Charlson comorbidity index (CCI) overall or itemized is predictive for overall survival, and we compared newly developed comorbidities between abiraterone and enzalutamide groups. We extracted data about expenses and comorbidities for patients who have mCRPC, received abiraterone and enzalutamide and met pre-examination operation criteria between September 2016 and December 2017 from the Taiwan National Health Insurance database. A total of 1153 patients with mCRPC who received abiraterone (n = 782) or enzalutamide (n = 371) with or without previous chemotherapy were included. We used the propensity score to match confounding factors, including age, pre-existing comorbidities, and precipitating factors for comorbidity (e.g., hypertension, hyperlipidemia), to eliminate selection bias in the comparison of newly developed comorbidities. Cox regression analysis was used for overall survival. We found that enzalutamide is superior to abiraterone with regard to overall survival. Our study revealed that there is no statistically significant difference in development of new comorbidities between abiraterone and enzalutamide group. Moreover, the CCI score, rather than any single item of the CCI, was a statistically significant predictor for overall survival.

Dynamic changes of alkaline phosphatase as surrogate for best clinical benefit and overall survival during very early abiraterone therapy compared to PSA-changes in bone metastatic castration resistant prostate cancer.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 260-260
Author(s):  
Martin Boegemann ◽  
Phillip Mikah ◽  
Okyaz Eminaga ◽  
Edwin Herrmann ◽  
Philipp Marius Papavassilis ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Alkaline Phosphatase ◽  
Clinical Benefit ◽  
Univariate Analysis ◽  
Specific Antigen ◽  
Castration Resistant Prostate Cancer ◽  
Dynamic Changes ◽  
Castration Resistant ◽  
Kaplan Meier

260 Background: Significant progress in treatment of metastatic castration resistant prostate cancer (mCRPC) has been made. Biomarkers to tailor therapy are scarce. To facilitate decision-making we evaluated dynamic changes of alkaline phosphatase (ALP), lactate dehydrogenase (LDH) and prostate specific antigen (PSA) under Abiraterone acetate (AA). ALP-Bouncing can be observed during very early AA-therapy. Methods: Men with bone mCRPC (bmCRPC) on AA 12/2009-01/2014 were analyzed. Dynamic ALP-, LDH- and PSA-changes were analyzed as predictors of best clinical benefit (BCB) and overall survival (OS) with logistic-regression, Cox-regression and Kaplan-Meier-analysis. Results: 39 pre- and 45 post-chemotherapy patients with median follow up of 14.0 months were analyzed. In univariate analysis failure of PSA-reduction ≥50% (PSA-red≥50%) and failure of ALP-Bouncing were the strongest predictors of progressive disease (p=0.003 and 0.021). Rising ALP at 12 weeks (ALP12), no PSA-red≥50% and no ALP-Bouncing were strongest predictors of poor OS, (all p<0.001). Kaplan-Meier-analysis showed worse OS for ALP12, no PSA-red≥50% and no ALP-Bouncing (p<0.001). In subgroup-analysis of oligosymptomatic patients all parameters remained significant predictors of poor OS, no PSA-red≥50% and ALP12 being the strongest (p<0.001). In multivariate analysis PSA-red≥50% remained independent predictor of OS for the whole cohort and for the oligosymptomatic subgroup (p=0.014). No patient with ALP-Bouncing had PD for BCB. Patients with ALP12 had no further benefit of AA. Conclusions: Dynamic changes of ALP, LDH and PSA during AA-therapy are associated with BCB and OS in bmCRPC. ALP-Bouncing occurring earlier than PSA-changes and rising ALP12 under AA may help to decide whether to discontinue AA.

Prognostic significance of lactate dehydrogenase-5 expression in patients with prostate cancer treated with androgen deprivation therapy and androgen receptor axis-targeted agents.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 300-300 ◽  
Author(s):  
Wataru Fukuokaya ◽  
Takahiro Kimura ◽  
Mariko Honda ◽  
Hiroyuki Inaba ◽  
Kosuke Iwatani ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Regression Analysis ◽  
Lymph Node ◽  
Cox Regression ◽  
Targeted Agents ◽  
Castration Resistance ◽  
Cox Regression Analysis ◽  
Biopsy Specimens ◽  
Psa Progression

300 Background: Evidence suggests that hypoxic zones are prevalent in prostate cancer (PC). Recent clinical data showed that the expression of lactate dehydrogenase-5 (LDH5), a tumor hypoxia marker, affected the outcome of PC treated with radiation therapy. However, the impact of its expression on hormone therapy remains unclear. We investigated the predictive value of LDH5 expression in biopsy specimens from patients with PC treated with hormone therapy. Methods: Baseline data were available from 50 patients with PC treated with both androgen deprivation therapy (ADT) and novel androgen receptor axis-targeted agents (ARATs). LDH5 expression in the biopsy specimens was analyzed using immunohistochemical staining. Patients were stratified according to LDH5 expression in needle biopsy specimens. The relationships between LDH5 expression and baseline data at diagnosis, time to emergence of castration resistance, prostate-specific antigen (PSA) progression, and overall survival from induction of ADT and ARATs were examined. Results: Biopsy specimens from 19 patients highly expressed LDH5. High LDH5 expression was significantly associated with high Gleason scores (≥8) (p = 0.03), high clinical T stage (p = 0.008), and the likelihood of having at least one lymph node (p = 0.019) and metastatic lesion (p = 0.024). In a multivariate logistic regression model, LDH5 expression was significantly associated with high clinical T stage (p = 0.038), the presence of lymph node metastasis (p = 0.013), and high neutrophil-to-lymphocyte ratio (p = 0.016). Multivariate Cox regression analysis showed that high LDH5 expression was a significant predictor of time to emergence of castration resistance (hazard ratio [HR] 2.45, 95% confidence interval [CI] 1.12–5.36, p = 0.025) and overall survival (HR 9.3, 95% CI 2.17–39.8, p = 0.003). No significant association was observed between LDH5 expression and time to PSA progression from the induction of ARATs in univariate Cox regression analysis (p = 0.28). Conclusions: The results of this study suggest that LDH5 expression is a predictor of treatment outcomes in patients with PC treated with ADT.

scholarly journals Prognostic Value of Novel Liquid Biomarkers in Patients with Metastatic Castration-Resistant Prostate Cancer Treated with Enzalutamide: A Prospective Observational Study

2020 ◽  
Vol 66 (6) ◽  
pp. 842-851
Author(s):  
Guillemette E Benoist ◽  
Inge M van Oort ◽  
Emmy Boerrigter ◽  
Gerald W Verhaegh ◽  
Onno van Hooij ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Regression Analysis ◽  
Observational Study ◽  
Prognostic Value ◽  
Cox Regression ◽  
Response To Therapy ◽  
Castration Resistant Prostate Cancer ◽  
Time To Progression ◽  
Cox Regression Analysis ◽  
Castration Resistant

Abstract Background Several treatment options were recently added for metastatic castration-resistant prostate cancer (mCRPC). However, response to therapy is variable, and biomarkers that can guide treatment selection and response evaluation are lacking. Circulating RNAs are a promising source of biomarkers. We explored messenger RNAs (mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) as potential biomarkers in liquid biopsies of patients with mCRPC treated with enzalutamide. Methods Forty patients were included in this prospective multicenter observational study. Whole blood was drawn at baseline and 1, 3, and 6 months after start of therapy. Four mRNAs, 6 miRNAs, and 5 lncRNAs were analyzed by quantitative PCR. RNA levels in 30 healthy individuals were used as controls. RNA expression data were analyzed by Kaplan–Meier and Cox regression analyses, and the primary end point was progression-free survival. Clinical factors were included in the multivariable Cox regression analysis. Results Levels of 2 miRNAs, miR-375 and miR-3687, and 1 lncRNA, N-acetylated alpha-linked acidic dipeptidase like 2 antisense RNA 2 (NAALADL2-AS2), were more than 2-fold higher in patients with mCRPC compared with healthy volunteers. Patients with higher levels of miR-375 or miR-3687 showed a shorter time to progression. Patients with higher levels of NAALADL2-AS2 showed a longer time to progression. In the multivariable Cox regression analysis, higher miR-375, miR-3687 and serum prostate-specific antigen concentrations were shown to be independent predictors for shorter time to progression. Conclusions We identified miR-3687 as a novel prognostic marker for response in patients with CRPC treated with enzalutamide, and we confirmed the prognostic value of miR-375.

scholarly journals Prognostic Association between Common Laboratory Tests and Overall Survival in Elderly Men with De Novo Metastatic Castration Sensitive Prostate Cancer: A Population-Based Study in Canada

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2844
Author(s):  
Christopher J. D. Wallis ◽  
Bobby Shayegan ◽  
Scott C. Morgan ◽  
Robert J. Hamilton ◽  
Ilias Cagiannos ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Clinical Decision Making ◽  
Cox Regression ◽  
De Novo ◽  
Population Based ◽  
Population Based Study ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Laboratory Markers

De novo cases of metastatic prostate cancer (mCSPC) are associated with poorer prognosis. To assist in clinical decision-making, we aimed to determine the prognostic utility of commonly available laboratory-based markers with overall survival (OS). In a retrospective population-based study, a cohort of 3556 men aged ≥66 years diagnosed with de novo mCSPC between 2014 and 2019 was identified in Ontario (Canada) administrative database. OS was assessed by using the Kaplan–Meier method. Multivariate Cox regression analysis was performed to evaluate the association between laboratory markers and OS adjusting for patient and disease characteristics. Laboratory markers that were assessed include neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), albumin, hemoglobin, serum testosterone and PSA kinetics. Among the 3556 older men with de novo mCSPC, their median age was 77 years (IQR: 71–83). The median survival was 18 months (IQR: 10–31). In multivariate analysis, a statistically significant association with OS was observed with all the markers (NLR, PLR, albumin, hemoglobin, PSA decrease, reaching PSA nadir and a 50% PSA decline), except for testosterone levels. Our findings support the use of markers of systemic inflammation (NLR, PLR and albumin), hemoglobin and PSA metrics as prognostic indicators for OS in de novo mCSPC.

scholarly journals Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chunlei Wu ◽  
Quanteng Hu ◽  
Dehua Ma
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Risk Score ◽  
Cox Regression ◽  
Related Gene ◽  
Cox Regression Analysis ◽  
Gene Pairs ◽  
Immune Related Gene ◽  
Pathological Subtype

AbstractLung adenocarcinoma (LUAD) is the main pathological subtype of Non-small cell lung cancer. We downloaded the gene expression profile and immune-related gene set from the TCGA and ImmPort database, respectively, to establish immune-related gene pairs (IRGPs). Then, IRGPs were subjected to univariate Cox regression analysis, LASSO regression analysis, and multivariable Cox regression analysis to screen and develop an IRGPs signature. The receiver operating characteristic curve (ROC) was applied for evaluating the predicting accuracy of this signature by calculating the area under ROC (AUC) and data from the GEO set was used to validate this signature. The relationship of 22 tumor-infiltrating immune cells (TIICs) to the immune risk score was also investigated. An IRGPs signature with 8 IRGPs was constructed. The AUC for 1- and 3-year overall survival in the TCGA set was 0.867 and 0.870, respectively. Similar results were observed in the AUCs of GEO set 1, 2 and 3 (GEO set 1 [1-year: 0.819; 3-year: 0.803]; GEO set 2 [1-year: 0.834; 3-year: 0.870]; GEO set 3 [1-year: 0.955; 3-year: 0.827]). Survival analysis demonstrated high-risk LUAD patients exhibited poorer prognosis. The multivariable Cox regression indicated that the risk score was an independent prognostic factor. The immune risk score was highly associated with several TIICs (Plasma cells, memory B cells, resting memory CD4 T cells, and activated NK cells). We developed a novel IRGPs signature for predicting 1- and 3- year overall survival in LUAD, which would be helpful for prognosis assessment of LUAD.

scholarly journals Three-month early change in prostate-specific antigen levels as a predictive marker for overall survival during hormonal therapy for metastatic hormone-sensitive prostate cancer

2021 ◽  
Author(s):  
Shotaro Nakanishi ◽  
Masato Goya ◽  
Mitsuyoshi Tamaki ◽  
Takuma Oshiro ◽  
Seiichi Saito
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Prostate Specific Antigen ◽  
Characteristic Curve ◽  
Specific Antigen ◽  
Predictive Marker ◽  
Castration Resistant Prostate Cancer ◽  
Pretreatment Level ◽  
Castration Resistant ◽  
Hormone Sensitive

Abstract Objective: To date, there are no useful markers for predicting the prognosis of metastatic hormone-sensitive prostate cancer (mHSPC). We evaluated the effect of early changes in prostate-specific antigen (PSA) levels after androgen deprivation therapy (ADT) on castration-resistant prostate cancer (CRPC) progression and overall survival (OS) in mHSPC patients. Results: In 71 primary mHSPC patients treated with ADT, the median times to CRPC and OS were 15 months and 92 months, respectively. In multivariate analysis, a Gleason score of ≥8 (p = 0.004), an extent of disease value (EOD) of ≥2 (p = 0.004), and a 3-month PSA level >1% of the pretreatment level (p = 0.017) were independent predictors of shorter time to CRPC. The area under the receiver operating characteristic curve was feasible at 0.822. For OS, a 3-month PSA level >1% of the pretreatment level was an independent predictor of time to CRPC (p = 0.004).Three factors were independent predictors of shorter time to CRPC. A 3-month PSA level >1% of the pretreatment level correlated with poor a prognosis.

scholarly journals Bioinformatics-Based Identification of Tumor Microenvironment-Related Prognostic Genes in Pancreatic Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Shaojie Chen ◽  
Feifei Huang ◽  
Shangxiang Chen ◽  
Yinting Chen ◽  
Jiajia Li ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Regression Analysis ◽  
Tumor Microenvironment ◽  
Operating Characteristic ◽  
Cox Regression ◽  
Time Dependent ◽  
Concordance Index ◽  
Cox Regression Analysis ◽  
Score Model

ObjectiveGrowing evidence has highlighted that the immune and stromal cells that infiltrate in pancreatic cancer microenvironment significantly influence tumor progression. However, reliable microenvironment-related prognostic gene signatures are yet to be established. The present study aimed to elucidate tumor microenvironment-related prognostic genes in pancreatic cancer.MethodsWe applied the ESTIMATE algorithm to categorize patients with pancreatic cancer from TCGA dataset into high and low immune/stromal score groups and determined their differentially expressed genes. Then, univariate and LASSO Cox regression was performed to identify overall survival-related differentially expressed genes (DEGs). And multivariate Cox regression analysis was used to screen independent prognostic genes and construct a risk score model. Finally, the performance of the risk score model was evaluated by Kaplan-Meier curve, time-dependent receiver operating characteristic and Harrell’s concordance index.ResultsThe overall survival analysis demonstrated that high immune/stromal score groups were closely associated with poor prognosis. The multivariate Cox regression analysis indicated that the signatures of four genes, including TRPC7, CXCL10, CUX2, and COL2A1, were independent prognostic factors. Subsequently, the risk prediction model constructed by those genes was superior to AJCC staging as evaluated by time-dependent receiver operating characteristic and Harrell’s concordance index, and both KRAS and TP53 mutations were closely associated with high risk scores. In addition, CXCL10 was predominantly expressed by tumor associated macrophages and its receptor CXCR3 was highly expressed in T cells at the single-cell level.ConclusionsThis study comprehensively investigated the tumor microenvironment and verified immune/stromal-related biomarkers for pancreatic cancer.

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