Prognostic role of inflammatory biomarkers from peripheral blood and clinical factors in metastatic castration-resistant prostate cancer (mCRPC) patients (pts) treated with radium-223 (Ra-223) (BIO-Ra-223 study).

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e17026-e17026
Author(s):  
Sara Elena Rebuzzi ◽  
Matteo Bauckneht ◽  
Alessio Signori ◽  
Viviana Frantellizzi ◽  
Elisa Lodi Rizzini ◽  
...  

e17026 Background: Ra-223 is a treatment option for mCRPC pts with bone metastases according to the survival benefit observed compared to placebo in the ALSYMPCA trial. In the last years, many studies showed this benefit in the real-life pts is lower than that reported in the trial, probably due to a suboptimal selection of pts with poor prognostic characteristics. Therefore, the identification of prognostic factors to select mCRPC pts most likely to benefit from Ra-223 is needed. The multicentre retrospective BIO-Ra-223 study has investigated the prognostic role of peripheral blood immune cells and clinical factors to develop a novel prognostic score for mCRPC pts treated with Ra-223. Methods: Complete blood count was assessed before Ra-223 treatment calculating neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), systemic inflammation index (SII). Clinical factors included pre-treatment Eastern Cooperative Oncology Group performance status (ECOG PS), Gleason Score (GS) group, number of bone metastases, alkaline phosphatase (ALP), line of therapy, previous chemotherapy and the presence of lymphadenopathies. Statistical analyses included survival ROC curves for biomarkers’ cutoffs, univariable and multivariable Cox analyses, internal validation, c-index calculation and Schneeweiss scoring system. Results: From September 2013 to July 2020, 519 mCRPC pts received Ra-223 as 1st-2nd, 3rd-4th and further-line in 48%, 38% and 14% of pts. The median overall survival (mOS) of the entire cohort was 19.9 months. All biomarkers and clinical factors (except for GS group) significantly predicted OS at the univariable analyses. In the multivariable ones, all biomarkers, ECOG PS, number of bone metastases and ALP significantly correlated with OS. The multivariable model with NLR (< 3.1 vs ≥3.1), ECOG PS (0-1 vs 2-3), number of bone metastases (< 6, 6-20, > 20) and ALP (< 220 vs ≥220) showed the highest c-index (0.711), which was maintained after internal validation (bootstrap re-sampling) (c-index: 0.707). Using the Schneeweiss scoring system, ten categories were identified in 494 pts with complete data and merged in two prognostic groups with distinctive OSs: group 1 (score 0-4, 337 pts) with a mOS of 27.8 months and group 2 (score 5-10, 157 pts) with a mOS of 9.7 months (HR 4.03, p < 0.001). Conclusions: The obtained score, composed of NLR, ECOG PS, number of bone metastases, and ALP identifies two distinctive prognostic groups of mCRPC pts. Moreover, this score is easily and widely applicable for clinical practice and trials at no additional costs. Although external validation is needed, these preliminary results showed that this novel prognostic score is promising and could help the patients’ selection for Ra-223 treatment.

Author(s):  
Matteo Bauckneht ◽  
Sara Elena Rebuzzi ◽  
Alessio Signori ◽  
Viviana Frantellizzi ◽  
Veronica Murianni ◽  
...  

Abstract Purpose To combine peripheral blood indices and clinical factors in a prognostic score for metastatic castration-resistant prostate cancer (mCRPC) patients treated with radium-223 dichloride ([223Ra]RaCl2). Patients and methods Baseline neutrophil-to-lymphocyte ratio (NLR), derived NLR (donor), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), systemic inflammation index (SII), Eastern Cooperative Oncology Group performance status (ECOG PS), Gleason score (GS) group, number of bone metastases, prostate-specific antigen (PSA), alkaline phosphatase (ALP), line of therapy, previous chemotherapy, and the presence of lymphadenopathies were collected from seven Italian centers between 2013 and 2020. Lab and clinical data were assessed in correlation with the overall survival (OS). Inflammatory indices were then included separately in the multivariable analyses with the prognostic clinical factors. The model with the highest discriminative ability (c-index) was chosen to develop the BIO-Ra score. Results Five hundred and nineteen mCRPC patients (median OS: 19.9 months) were enrolled. Higher NLR, dNLR, PLR, and SII and lower LMR predicted worse OS (all with a p < 0.001). The multivariable model including NLR, ECOG PS, number of bone metastases, ALP, and PSA (c-index: 0.724) was chosen to develop the BIO-Ra score. Using the Schneeweiss scoring system, the BIO-Ra score identified three prognostic groups (36%, 27.3%, and 36.6% patients, respectively) with distinct median OS (31, 26.6, and 9.6 months, respectively; hazard ratio: 1.62, p = 0.008 for group 2 vs. 1 and 5.77, p < 0.001 for group 3 vs. 1). Conclusions The BIO-Ra score represents an easy and widely applicable tool for the prognostic stratification of mCRPC patients treated with [223Ra]RaCl2 with no additional costs.


2018 ◽  
Vol 119 (6) ◽  
pp. 737-743 ◽  
Author(s):  
Quirina C. B. S. Thio ◽  
W. Alexander Goudriaan ◽  
Stein J. Janssen ◽  
Nuno Rui Paulino Pereira ◽  
Daniel M. Sciubba ◽  
...  

Breast Care ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 52-56 ◽  
Author(s):  
Ling Wang ◽  
Hui-Ping Li ◽  
An-Nuo Liu ◽  
De-Bin Wang ◽  
Ya-Juan Yang ◽  
...  

Background: Lymphedema (LE) is recognized as a common complication after axillary lymph node dissection (ALND). Numerous studies have attempted to identify risk factors for LE. However, it is difficult to predict the probability of LE for an individual patient. The purpose of this study was to construct a scoring system for predicting the probability of LE after ALND for Chinese breast cancer patients. Patients and Methods: 358 breast cancer patients were surveyed and followed for 12 months. LE was defined by circumferential measurement. Univariate and multivariate logistic regression analyses were used to screen risk factors of LE. Based on this, ß-coefficient of each risk factor was translated into a prognostic score and the scoring system was constructed. The area under the receiver operating characteristic curve (AUC) and calibration were calculated as an index for the predictive value of the scoring system. The model was internally validated using bootstrapping techniques. Results: The incidence rate of LE was 31.84%. Variables associated with LE and their corresponding score in the scoring system were: the level of ALND (level I = 0, level II = 1, level III = 2), history of hypertension (yes = 1, no = 0), surgery on dominant arm (yes = 1, no = 0), radiotherapy (yes = 2, no = 0), and surgical infection/seroma/early edema (yes = 2, no = 0). The probability of LE was predicted according to the total risk scores. The system had good discrimination, with an AUC at 0.877. If a cut-off value of 3 was used, the sensitivity was 81.20% and the specificity was 80.90%. An individual whose total risk score was higher than 3 was recognized as being at risk for LE. On internal validation, the bootstrap-corrected predictive accuracy was 0.798. The model demonstrated excellent calibration in the development set and internal validation. Conclusions: Our scoring system could be a simple and easy tool for physicians to estimate the risk of LE.


2012 ◽  
Vol 30 (5_suppl) ◽  
pp. 397-397 ◽  
Author(s):  
Bernard J. Escudier ◽  
Roberto Iacovelli ◽  
Emilie Lanoy ◽  
Laurence Albiges ◽  
Karim Fizazi

397 Background: During the last ten years, several classifications have been used to assess the prognosis in mRCC. In none of them, tumor burden (TB) has been considered. This study investigates the prognostic role of baseline TB in terms of progression free survival (PFS) and overall survival (OS), in patients with mRCC. Methods: All patients with clear cell mRCC enrolled in our center, in 2 second-line trials, post cytokine, with sunitinib and sorafenib or placebo (Escudier JCO 2009, Escudier NEJM 2007), were selected for this analysis. TB was defined as the sum of the longest unidimensional diameter of each target lesions assessed using RECIST criteria. PFS and OS were estimated using Kaplan-Meier method and compared using the log-rank test. Association between TB and PFS or OS was evaluated using the Cox proportional hazards model. Multivariable analyses were adjusted for modified MSKCC risk class and treatment. Non-parametric Spearman rank test (rs) was used to assess the correlations between TB and MSKCC risk groups or ECOG Performance Status (PS). Results: Final population included 124 patients: 66% received sorafenib or sunitinib and 34% received placebo; median follow up was 80.1 months (IQR: 68.8 – 88.0). Baseline TB was divided into 3 tertiles (1.3 - 9.4 cm; 9.5 - 19.0 cm; 19.1 - 47.3 cm). TB was related to PFS and OS and, when adjusting for modified MSKCC risk class and treatment, these associations remained significant: each 1 cm increase in TB increased the progression risk by 5% (HR: 1.05; 95%CI, 1.02 – 1.07; p < 0.0001) and the death risk by 5% (HR: 1.05; 95%CI, 1.03 – 1.08; p < 0.0001). OS decreased with TB: the median tertiles OS values were: 42.1 months (95%CI: 24.0 – 60.2), 20.1 months (95%CI: 14.5 – 25.7), and 11.2 months (95%CI: 4.8 – 17.6), respectively (p < 0.0001, figure 2). The TB was positively related to ECOG PS (rs = 0.357; p < 0.0001) and to MSKCC risk score (rs = 0.478; p < 0.0001). Patients with higher TB had shorter PFS, shorter OS, poorer MSKCC score and increased ECOG PS. Conclusions: TB is easy to calculate with standard CT and significantly relates to OS and PFS in patients with mRCC. We report for the first time the independent prognostic role of baseline TB in mRCC.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14077-e14077
Author(s):  
Arsela Prelaj ◽  
Giuseppe Lo Russo ◽  
Claudia Proto ◽  
Diego Signorelli ◽  
Roberto Ferrara ◽  
...  

e14077 Background: Beyond PD-L1, nowadays oncologists can only use clinical characteristics to candidate patients for immunotherapy (IO). Previously, a clinical prognostic score composed by ECOG performance status (PS), sex, histology, stage, uses of platin-based therapy at first-line (1L) and response to 1L categorized 3 different prognostic groups for patients treated with second-line (2L) chemotherapy (CHT) (Di Maio, EJC. 2010 Mar;46(4):735-43.). The aim of this study is to assess if the same score is able to discriminate the outcome of aNSCLC pts treated in 2L or further-line IO, potentially helping decision making. Methods: We recorded data of patients collected from two institutional databases: Istituto Nazionale Tumori of Milan and IRCCS Oncologico Giovanni Paolo II of Bari, Italy. Overall survival (OS) was the primary endpoint and also progression-free survival (PFS) was assessed. Prognostic score was generated, and pts were divided into 3 prognostic groups: best (B: < 5), intermediate (I:5-9), worst (W: > 9). Results: Overall, 347 pts were included in the analysis (193 from Milan and 154 from Bari). Median age was 66 years (y) (30 – 88y), most were < 70 y (67.5%), male (70.7%), smokers (79.5%) and adenocarcinoma (74.6%). ECOG PS was: 0 (23%), 1 (54.5%) and 2 (22.5%). Pts distribution was: 28%, 51% and 21% in the B, I and W groups, respectively. Median OS was 18.0 months for B group, 8.5 months for I group (HR vs B 1.83, 95%CI 1.35 – 2.47, p < 0.001) and 2.6 months for W group (HR vs B 5.77, 95%CI 3.99 – 8.33, p < 0.001). Median PFS was 3.4 months for B group, 3.7 months for I group (HR vs B 1.35, 95% CI 1.03 – 1.77, p = 0.032) and 1.9 months for W group (HR vs B 2.51. 95% CI 1.80- 3.50, p < 0.001). Similar results were obtained stratifying the model by Institution. Conclusions: This clinical prognostic score, that was generated in patients treated with second-line chemotherapy, is able to highly predict outcomes of patients treated with IO. These results demonstrated that in pre-treated aNSCLC pts, the worst category has a dismal absolute life expectancy, and probably would not benefit from any active systemic therapy (independently if CHT or IO). Perhaps for these pts best supportive care could be the best choice.


Medicine ◽  
2015 ◽  
Vol 94 (49) ◽  
pp. e2133 ◽  
Author(s):  
Mu-xing Li ◽  
Xin-yu Bi ◽  
Zhi-yu Li ◽  
Zhen Huang ◽  
Yue Han ◽  
...  

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