scholarly journals Glycemic Control as an Early Prognostic Marker in Advanced Pancreatic Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Ipek Alpertunga ◽  
Rabail Sadiq ◽  
Deep Pandya ◽  
Tammy Lo ◽  
Maxim Dulgher ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Proportional Hazards ◽  
Performance Status ◽  
Univariate Analysis ◽  
Advanced Pancreatic Cancer ◽  
Community Setting ◽  
Cox Proportional Hazards ◽  
Ductal Adenocarcinoma ◽  
Rank Test ◽  
Pre Treatment

PurposeImpaired glucose metabolism is present in most patients with pancreatic ductal adenocarcinoma (PDAC). Whereas previous studies have focused on pre-treatment glycemic indices and prognosis in those with concomitant diabetes, the effects of glycemic control during chemotherapy treatment on prognosis, in patients with and without diabetes, have not been well characterized. We examined the relationship between early glycemic control and overall survival (OS) in a cohort of patients with advanced PDAC treated in a community setting.Patients and MethodsSeventy-three patients with advanced PDAC (38% with diabetes) receiving chemotherapy while participating in a biobanking clinical trial were included. Clinical characteristics and laboratory results during 1 year were obtained from the electronic medical record. Kaplan-Meier estimate, log-rank test and hazard ratios were computed to assess the effect of glycemic control on OS. The Cox proportional hazards regression model was applied to ascertain the significance of glycemic control with other survival variables.ResultsOne thousand four hundred eighteen random blood glucose (RBG) values were analyzed. In accord with previous findings, a 50% decline in the serum tumor marker CA 19-9 at any time was predictive of survival (P=0.0002). In univariate analysis, an elevated pre-treatment average RBG, 3-month average RBG (RBG-3) and the FOLFIRINOX regimen were associated with longer survival. Based on ROC analysis (AUC=0.82), an RBG-3 of 120 mg/dl was determined to be the optimal cutoff to predict 12-month survival. In multivariate analysis that included age, stage, BMI, performance status, presence of diabetes, and chemotherapy regimen, only RBG-3 maintained significance: an RBG-3 ≤120 mg/dl predicted for improved OS compared to >120 mg/dl (19 vs. 9 months; HR=0.37, P=0.002). In contrast, an early decline in CA 19-9 could not predict OS.ConclusionLower glucose levels during the first 3 months of treatment for advanced PDAC predict for improved OS in patients both with and without diabetes. These results suggest that RBG-3 may be a novel prognostic biomarker worthy of confirmation in a larger patient cohort and that studies exploring a possible cause and effect of this novel survival-linked relationship are warranted.

The predictive role of CA 19–9 kinetics for time-to-progression (TTP) and overall survival (OS) in patients receiving palliative first-line chemotherapy for advanced pancreatic cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e15637-e15637
Author(s):  
M. Haas ◽  
S. Boeck ◽  
P. Stieber ◽  
R. P. Laubender ◽  
H. Buchner ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Advanced Pancreatic Cancer ◽  
Rank Test ◽  
First Line ◽  
Predictive Role ◽  
Pre Treatment ◽  
Line Chemotherapy

e15637 Background: Previous studies showed contradictory results for a predictive role of CA 19–9 kinetics during chemotherapy in patients (pts) with pancreatic cancer (PC). Methods: We performed a retrospective, multicenter study in order to evaluate the role of CA 19–9 as a biomarker for TTP and OS in PC. Main inclusion criteria: histological confirmed diagnosis of PC, treatment with first-line chemotherapy for advanced disease, pre-treatment CA 19–9 level of > 5.2 U/ml. As CA 19–9 measurements were conducted in different laboratories using different commercial assays, we defined a subgroup of pts where CA 19–9 was assessed exclusively by the Elecsys assay (Roche Diagnostics). For the analysis of CA 19–9 kinetics, at least one follow-up measurement between day 20 and 64 during first-line chemotherapy had to be available. Pts were divided into two subgroups of CA 19–9 responders and non-responders by cut-offs of a 25% and 50% decline, respectively. OS and TTP were estimated with the Kaplan-Meier-Method, differences between the subgroups were analyzed by using the log-rank test. Results: One hundred and eighty-six pts were included, 83 of them were tested with the Elecsys method. Median age was 63 years, 90 % of the pts were treated within prospective clinical trials. Median pre-treatment CA 19–9 was 1076 U/ml (range 5.7–100,000 U/ml), the median bilirubin was 0.6 mg/dl. Median OS and TTP were 9.8 months (mo) and 5.4 mo, respectively. In univariate analysis, pts with a CA 19–9 decline of at least 25% during chemotherapy lived significantly longer (11.9 mo vs. 8.2 mo, p=0.003) and had a significantly prolonged TTP (5.8 mo vs. 4.4 mo, p=0.018) than those with a lower decline or even CA 19–9 increase. Data for the Elecsys-measurements were comparable (OS: 13.4 mo vs. 8.6 mo, p=0.004; TTP: 7.0 mo vs. 2.6 mo, p=0.003). None of the analyses demanding a CA 19–9 drop of at least 50% reached the level of statistical significance. Conclusion: An early CA 19–9 decline of 25% during first-line chemotherapy may predict OS and TTP in pts with advanced PC. Innovative statistical methods are required to improve our understanding of the utility of CA 19–9 as a predictive biomarker in PC. [Table: see text]

Application of a time-varying covariate model to the analysis of CA 19–9 as a biomarker for time-to-progression (TTP) and overall survival (OS) in patients with advanced pancreatic cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e15545-e15545
Author(s):  
S. Boeck ◽  
R. P. Laubender ◽  
M. Haas ◽  
C. Klose ◽  
F. Kullmann ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Proportional Hazards ◽  
Univariate Analysis ◽  
Locally Advanced ◽  
Predictive Biomarker ◽  
Cox Proportional Hazards ◽  
Time Varying ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Pre Treatment

e15545 Background: It remains unclear whether baseline CA 19–9 or CA 19–9 kinetics during chemotherapy may serve as predictive biomarker in patients (pts) with pancreatic cancer (PC). Methods: Main inclusion criteria for this retrospective multicenter analysis: histologically confirmed diagnosis of PC, treatment with first-line therapy, pre-treatment CA 19–9 level of > 5.2 U/ml. Analysis of CA 19–9 was exclusively performed using the Elecsys® assay (Roche Diagnostics). The effect of the pre- treatment CA 19–9 level on TTP and OS was modelled by Cox proportional hazards regression. The effect of CA 19–9 kinetics was also modelled by Cox proportional hazards regression where CA 19–9 was treated as time-varying covariate. When modelling CA 19–9 we developed univariate and multivariate Cox models where we selected additional predictors (e.g. performance status) using backward elimination performing likelihood ratio tests on a significance level of 0.05. Results: One-hundred and fifteen pts from 5 German centers were included. Median age was 63 years, 12% had locally advanced and 88% metastatic disease; 73 % of the pts were treated within prospective clinical trials. Median baseline CA 19–9 was 1059 U/ml (range 9.5–100000), median pre- treatment bilirubin 0.6 mg/dl. The median TTP in the study population was 4.4 months, median OS 9.4 months. Univariate analysis showed that the pre-treatment CA 19–9 level (as continuous variable, log [CA 19–9]) was significantly associated with TTP (HR 1.24, 95% CI 1.12–1.37, p<0.001) and OS (HR 1.16, 95% CI 1.06–1.28, p=0.002). These associations remained significant also within a multivariate analysis. For CA 19–9 kinetics during chemotherapy, data from 69 pts (TTP) and 84 pts (OS) were available, respectively; log [CA 19–9] kinetics were found to be a significant predictor for TTP in univariate (HR 1.44, 95% CI 1.25–1.67, p<0.001) and multivariate (HR 1.39, 95% CI 1.19–1.62, p<0.001) analyses, and also for OS (univariate: HR 1.34, 95% CI 1.20–1.49, p<0.001; multivariate: HR 1.39, 95% CI 1.23–1.57, p<0.001). Conclusions: According to this new statistical model, CA 19–9 may serve as a useful predictive biomarker in advanced PC. [Table: see text]

Prognostic value of BRAFV600 mutations in melanoma patients after resection of metastatic lymph nodes.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 8540-8540
Author(s):  
Philippe Saiag ◽  
Stephanie Moreau ◽  
Philippe Aegerter ◽  
Daphne Bosset ◽  
Christine Longvert ◽  
...  
Keyword(s):  
Targeted Therapy ◽  
Prognostic Value ◽  
Proportional Hazards ◽  
Univariate Analysis ◽  
Primary Melanoma ◽  
Stage Iv ◽  
Cox Proportional Hazards ◽  
Stage Iii ◽  
Rank Test ◽  
Braf Mutations

8540 Background: Prognosis of AJCC stage III melanoma is heterogeneous. BRAFV600 mutations are frequent in melanomas. BRAFV600-targeted therapy has dramatic, but often transitory, efficacy in stage IV patients (pts). We aimed to determine for the first time the prognostic value of BRAFV600 mutations and other known prognostic criteria in stage III pts with sufficient nodal invasion. Methods: We searched all pts with cutaneous melanoma who had radical lymphadenectomy in our institution between 1/1/00 and 15/6/10 and included those with a nodal deposit >2 mm. BRAFV600 mutations were detected by DNA sequencing and pyrosequencing in formalin-fixed nodal samples containing >60% melanoma cells. Samples were considered mutated when >15% of DNA was positive. Endpoints were overall survival (OS) and distant metastasis free survival (DMFS). 92 patients had to be included to demonstrate a doubling of OS in patients without (40 months (m)) and with BRAFV600 mutation (20 m). Log-rank test and multivariate Cox proportional hazards regression model were used. Results: 105 consecutive pts were included, with 72% prospectively followed-up pts. BRAFV600 mutations (E: 83%; K: 14% of pts) were detected in 40% of pts. Median follow-up was 19 m (range: 3-139). Death occurred in 83% and 60% of pts with and without BRAF mutations, respectively, with median OS of 1.4 and 2.8 years. Pts’ age, primary melanoma ulceration, number of invaded nodes, AJCC staging, and BRAF status influenced OS and DMFS in the univariate analysis. The multivariate analysis showed the major prognostic role of BRAF status and of the number of invaded nodes (table). Conclusions: Provided our findings are independently replicated, BRAFV600 status should be used to stage melanoma pts with nodal metastasis. Our results also help to plan adjuvant trials with BRAFV600-targeted therapy in such patients, for whom the low tumor load may induce longer efficacy of BRAF-targeted therapies. [Table: see text]

Retrospective multicenter cohort of nab-paclitaxel plus gemcitabine (NG) after FOLFIRINOX failure in advanced pancreatic cancer (APC): Effectiveness, tolerability, and response markers.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15743-e15743
Author(s):  
Ines Vendrell ◽  
Arlindo Rebelo Ferreira ◽  
Catarina Pulido ◽  
Anuraj Parmanande ◽  
Filipa Ferreira Da Silva ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Proportional Hazards ◽  
Performance Status ◽  
Advanced Pancreatic Cancer ◽  
Stage Iv ◽  
Progression Free Survival ◽  
Cox Proportional Hazards ◽  
Line Treatment ◽  
Ecog Performance Status ◽  
Ca 19.9

e15743 Background: NG is a standard 1st line treatment for APC. Although recommended in 2nd line after FOLFIRINOX, there is little evidence of its efficacy, tolerability and of markers of efficacy. Methods: We performed a multicenter retrospective cohort study, including patients (pts) with APC from 5 centers in Portugal treated with 2nd line NG after 1st line FOLFIRINOX from 01/2013-12/2016. We collected demographic, clinicopathological characteristics and treatment data. We used descriptive statistics, Kaplan-Meier methods and Cox proportional hazards analysis. Results: 30 pts were included; median age was 64 years (range 45–78); the majority had stage IV (90%) disease, an ECOG Performance Status of 0 (76.7%) and had received a median of 8.5 cycles of FOLFIRINOX (range 1–18). A median of 6 cycles of NG were administered (range 1–13). Median progression free survival (PFS) and overall survival (OS) were 6.4 months (CI 95% 3.0-8.5) and 11.4 months (CI 95% 8.4–16.5), respectively, and did not differ by age < 65 or ≥65 (p = 0.87; p = 0.57 respectively). The most frequent toxicity was fatigue (66.6%, any grade). Grade 3-4 events occurred in 40% of pts – thrombocytopenia in 16.7%, neutropenia in 10.0%; anemia, sensorial neuropathy, fatigue and diarrhea each occurred in 3.3% of patients. No febrile neutropenia events or toxic deaths occurred. Median CA 19.9 at the beginning of NG was 1254U/mL (IQR: 207–6775); the median decrease of CA19.9 at 3 months was 45U/mL (IQR:-1373– +174). CA 19.9 variation at 3 months did not correlate with PFS (p = 0.53) or OS (p = 0.09) in multivariate analysis (adjusted for age and stage at diagnosis). Neutrophil to Lymphocyte ratio (NLR) was high ( > 3.0) in 37.5% of patients before 1st line treatment and in 27.6% at the beginning of NG. In multivariate analysis NLR before 1st or 2nd chemotherapy lines were not associated with PFS (p = 0.39; p = 0.14 respectively) or OS (p = 0.44; p = 0.12, respectively). Conclusions: In this cohort of pts with APC, NG was an effective and well tolerated 2nd line regimen after FOLFIRINOX failure, even in pts ≥65 years. Neither CA19.9 variation at 3 months nor NLR were markers of NG clinical benefit.

The neutrophil to lymphocyte ratio as a prognostic factor among a diverse population with advanced pancreatic cancer.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15729-e15729
Author(s):  
Michael Shusterman ◽  
Erin Jou ◽  
Andreas Kaubisch ◽  
Jennifer W. Chuy ◽  
Lakshmi Rajdev ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Metastatic Disease ◽  
Proportional Hazards ◽  
Univariate Analysis ◽  
Prognostic Significance ◽  
Advanced Pancreatic Cancer ◽  
Cox Proportional Hazards ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio

e15729 Background: The neutrophil to lymphocyte ratio (NLR), a marker of systemic inflammatory response, has been suggested as a prognostic marker in patients with pancreatic adenocarcinoma (PAC). Black and Hispanic patients have been underrepresented in studies evaluating the significance of NLR in PAC. We investigated the prognostic significance of NLR in patients with advanced PAC treated at the Montefiore-Einstein Center for Cancer Care (MECCC) in the Bronx, NY. Methods: We included patients who were chemotherapy naive and treated for unresectable or metastatic PAC at MECCC between 2006 and 2015. Demographics, clinical characteristics and treatment data were collected. Overall survival was determined by the Kaplan-Meier method and Cox proportional-hazards models were built to assess survival differences adjusting for clinically relevant and statistically significant variables. Results: 201 patients were included in the study. Median age was 65 (range 32, 90). 52% were male. 41 were White (19%), 71 Black (33%), 71 Hispanic (33%), and 33 Other (15.3%). 66 (30.6%) had unresectable disease and 135 (62.5%) metastatic disease. An NLR ≥ 4 was associated with a worse OS compared to an NLR ≤ 4 (median 10 vs. 16.4 months; HR 1.895; 95% CI 1.390, 2.585; P < 0.0001). Predictors of worse OS on univariate analysis were ever smoker status (HR 1.365; P = 0.05), metastatic disease (HR 1.736; P = 0.001), and albumin ≤ 3.5 g/dL (HR 2.558; P< 0.0001). An NLR ≥ 4 on multivariate analysis remained significantly associated with worse OS (HR 1.665; 95% CI 1.188, 2.334; P = 0.003) after adjusting for age, gender, ever smoker status, metastatic disease, and albumin. Conclusions: In a cohort with significant minority patient representation, an NLR ≥ 4 was associated with significantly worse overall survival in patients with advanced pancreatic cancer. An elevated NLR in advanced PAC may be an important independent predictor to risk stratify patients and predict poor OS in future analyses.

Comprehensive genomic and transcriptomic profiling (CGTP) to predict pembrolizumab (P) benefit in patients (pts) with advanced solid tumors (STs).

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 2609-2609
Author(s):  
Dan Rhodes ◽  
Daniel H Hovelson ◽  
Malek M. Safa ◽  
Mark E. Burkard ◽  
Eddy Shih-Hsin Yang ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Univariate Analysis ◽  
Predictive Biomarkers ◽  
Initial Therapy ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Observational Trial ◽  
Highly Correlated

2609 Background: P is approved in many ST types, however predictive biomarkers and the proportion of pts who benefit vary widely. Biomarkers beyond PD-L1 immunohistochemistry and comprehensive genomic profiling (CGP) based tumor mutation burden (TMB) may improve benefit prediction. We determined if treatment data and CGTP collected in an ongoing observational trial (NCT03061305) could predict pan-ST P benefit. Methods: Eligible advanced ST pts had QC-passing TMB and expression data from multiplex PCR based tissue CGTP on FFPE tissue (StrataNGS and an investigational test) and documented P treatment > 1 month. Real-world time to next treatment (TTNT) was defined as time in months from therapy start to new therapy start (after stopping initial therapy) or death. TMB and gene expression biomarker association with P TTNT was evaluated. Backward stepwise regression was performed to fit a multivariate Cox proportional hazards model; pts were assigned to four score groups (IRS 1-4) based on overlapping TTNT curves from 8 equal bins. P TTNT were compared between IRS groups by log-rank test. A chemotherapy (C) comparator cohort was established from C TTNT for pts in this cohort. Results were stratified by ST type, P mono vs. C combo, and TMB status. Results: 610 pts (254 [41.6%] NSCLC; 356 [58.4%] from 23 other ST types) with CGTP and P treatment were identified; P TTNT was highly correlated to overall survival (n=146; Pearsons r2=0.75). By univariate analysis of TMB and 9 expression biomarkers, TMB, two independent PD-L1 expression amplicons, and PD-L2 expression were significantly associated with P TTNT (all p ≤ 0.002). The most significant multivariate model included 5 variables, with 1) increasing TMB, PD-L1, and PD-L2, and 2) decreasing TOP2A (proliferation) and GZMA as P TTNT predictors. Median P TTNT, but not C TTNT (345 courses from 254 pts), differed significantly by IRS group (Table). Median P TTNT by IRS group did not significantly differ by non-small cell lung vs. other ST type or P mono vs. C combo (both p > 0.05); excluding TMB-high patients, median P TTNT was still significantly longer in IRS groups 3/4 vs. 1/2 (p = 5.0e-4). Across 19,623 total evaluable pts in NCT03061305, 12.2% were in IRS groups 3/4 and outside of P approved ST types/TMB-low. Conclusions: CGTP in an observational trial cohort demonstrated that TMB, PD-L1 and PD-L2 independently predicted pan-ST P benefit as assessed by OS-validated TTNT. A multivariate CGTP signature predicted P benefit relative to C across ST types. If further validated, such a signature may enable improved P benefit prediction. P versus C TTNT by IRS group. Clinical trial information: NCT03061305. [Table: see text]

Prognostic model for primary CNS lymphoma (PCNSL): Recursive partitioning analysis (RPA) of the MSKCC PCNSL population

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 1531-1531 ◽  
Author(s):  
L. E. Abrey ◽  
L. Benporat ◽  
K. S. Panageas ◽  
J. Yahalom ◽  
L. M. Deangelis
Keyword(s):  
Overall Survival ◽  
Prognostic Model ◽  
Proportional Hazards ◽  
Prognostic Score ◽  
Performance Status ◽  
Univariate Analysis ◽  
Primary Cns Lymphoma ◽  
Cox Proportional Hazards ◽  
Cns Lymphoma ◽  
Analysis And Design

1531 Background: Increasingly there is a need to develop a simple prognostic score that can be used in the analysis and design of PCNSL studies as well as for clinical management. Recently the IELSG published a 3 group prognostic model incorporating patient age, performance status, serum LDH, location of brain lesions and CSF total protein; however, only 105 of their 378 patients had all of the variables available to develop this score. Methods: We analyzed 338 patients (median age 60; median KPS 70) seen and treated for PCNSL at MSKCC between 1983 and 2003. The median survival was 37 months and median follow up of surviving patients is 35 months. Univariate analysis of potential prognostic factors was performed using the Kaplan Meier product limit method. Significant univariate variables were included in a multivariate analysis using the Cox proportional hazards regression model. Patients were separately analyzed using the IELSG prognostic score. Finally, RPA was employed as an independent method of developing specific prognostic categories. Results: In the univariate analysis, age, hemiparesis, mental status changes, creatinine clearance and KPS were significant predictors of overall survival; in the multivariate model only age and KPS remained as significant predictors. 113 patients had adequate information (all 5 variables) to be analyzed using the IELSG prognostic score; while this correlated significantly with overall survival, the comparison between groups 2 and 3 was not statistically significant (p = 0.10). RPA of all 338 patients identified 3 subgroups: age ≤ 50 (median OS 9.2 y), age > 50 and KPS ≥ 70 (median OS 3.2 y) and age > 50 and KPS < 70 (median OS 1 y) that significantly separated our entire PCNSL population (p < 0.001). Conclusions: The use of RPA allows for easy discrimination of 3 prognostic groups of patients with PCNSL. In contrast to the IELSG score the MSK RPA classification includes information that is readily available on all patients and can be easily incorporated into the analysis or design of clinical research. No significant financial relationships to disclose.

Impact of age at diagnosis on survival of hormone-refractory prostate cancer (HRPC) patients

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e16050-e16050
Author(s):  
M. R. Humphreys ◽  
C. Ma ◽  
S. S. Sridhar
Keyword(s):  
Multivariate Analysis ◽  
Bone Metastasis ◽  
Proportional Hazards ◽  
Survival Curve ◽  
Performance Status ◽  
Retrospective Chart Review ◽  
Cox Proportional Hazards ◽  
Age At Diagnosis ◽  
Rank Test ◽  
Androgen Ablation

e16050 Background: Conflicting data exist for age as a determinant of overall survival (OS) in pts with HRPC. We hypothesize that young (<55) HRPC pts represent a more aggressive biological phenotype and therefore have a decreased OS. Methods: A retrospective chart review was conducted on 334 consective HRPC pts treated between 1995–2005. Summary statistics for demographic and clinical factors were generated, and Kaplan-Meier (KM) OS curves were created. Bivariate Cox Proportional-Hazards regression was used to test the association of age at diagnosis while adjusting for a covariate, with significant covariates entered into multivariate models. Results: Overall median survivals in the age stratified categories (<55, ≥55–65, ≥65–75, ≥75) were 5.5, 6.9, 7.9, and 4.3 yrs, with 5 yr survivals 51.9%, 67.4%, 67.0%, and 34.9%, respectively. KM curves showed divergence with an overall significant log-rank test (p < 0.0001). Compared to pts ≥65–75, the hazard ratios (HR) for HRPC pts <55 and ≥75 were 1.40 (95% CI 0.90–2.60) and 2.52 (95% CI 1.67–3.82), respectively. However, following multivariate analysis HRs for HRPC pts <55 and ≥75 were 1.60 (95% CI 0.98–2.62) and 1.25 (95% CI 0.71–2.20). Pts <55 and ≥75 presented with advanced stage at diagnosis and progressed to bone metastasis earlier. Pts ≥75 had decreased performance status, more comorbidities, higher PSA at diagnosis, shorter duration of hormone sensitive disease, and were less likely to receive chemotherapy than pts <75. The percentage of rapid PSA doubling times was highest in the <55 cohort. In multivariate analysis with age as a categorical variate, ECOG 3–4 (HR 2.65), time from diagnosis to both HRPC (HR 0.78) and bone metastasis (HR 0.80), and duration of response to androgen ablation (HR 0.86) remained highly predictive. Conclusions: Age at diagnosis influences OS in HRPC with a bimodal survival curve. Pts <55 and ≥75 present with more aggressive disease, translating into reduced median and 5 yr survivals. Other covariates, especially ECOG status, likely account for the decreased OS in the ≥75 cohort. Conversely, pts <55 had an adjusted HR of 1.60 (p = 0.06). Our study supports a growing body evidence that suggests a poor prognosis in younger men; correlating these differences at the molecular level could lead to better targeted therapies. No significant financial relationships to disclose.

The biomarkers of gemcitabine and erlotinib treatment in advanced pancreatic cancer.

2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 358-358
Author(s):  
Kuniyasu Irie ◽  
Makoto Ueno ◽  
Satoshi Kobayashi ◽  
Yoshihiro Gouda ◽  
Shinichi Ohkawa ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Multivariate Analysis ◽  
Performance Status ◽  
Univariate Analysis ◽  
Advanced Pancreatic Cancer ◽  
Stage Iv ◽  
Progression Free Survival ◽  
Rank Test ◽  
Antiulcer Drugs ◽  
The Difference

358 Background: A combination of gemcitabine+erlotinib is one of the standard chemotherapies in advanced pancreatic cancer (APC). Since APC patients often take antiulcer drugs to prevent gastritis (e.g., NSAIDs to reduce cancer pain), erlotinib concentration is generally decreased through the mechanism of CYP3A4. Furthermore, unlike lung cancer, the biomarkers for APC are not obvious except rash. Here, we examined biomarkers of gemcitabine+erlotinib treatment in APC patients including the presence of antiulcer drugs. Methods: The subjects were 59 advanced pancreatic cancer patients. They were treated with gemcitabine+erlotinib starting from Nov. 2011 to Apr. 2013. Gemcitabine was administered at 1000 mg/m2, on days 1, 8, and 15 for every 4 weeks, and erlotinib was taken 100 mg daily. The progression-free survival (PFS), UICC stage, sex, age, CRP concentration, performance status (PS), rash, and presence of antiulcer drugs were examined. The PFS curve was plotted according to the method of Kaplan and Meier. The difference in the PFS was calculated using the log-rank test, and a multivariate analysis was conducted using Cox hazard model. Results: UICC stages were as follows; i.e., stage II: 1, stage III: 8, and stage IV: 50. There were 36 males and 23 females, and their ages ranged from 41 to 82 years old (median: 65). The CRP concentrations ranged from 0.02 to 11.5 mg/dl (median: 0.57). 37 patients received antiulcer drugs, and 48 patients had rash. The univariate analysis revealed that the CRP concentration and rash were significant (p=0.009 and p=0.005, respectively). Low CRP (<0.57mg/dl) and presence of rash were related to good PFS. The multivariate analysis also revealed that the CRP concentration (HR, 0.34; 95%CI, 0.16-072; p=0.005) and rash (HR, 0.40; 95%CI, 0.16-0.96; p=0.04) were significant. The presence of antiulcer drugs on PFS was insignificant. Conclusions: The CRP concentration and rash were biomarkers of gemcitabine+erlotinib treatment in APC patients.

Analysis of the GERCOR index in KRAS Exon2 WT patients with mCRC treated with salvage-line cetuximab-based chemotherapy: HGCSG0901.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 781-781
Author(s):  
Ayumu Hosokawa ◽  
Satoshi Yuki ◽  
Hiroshi Nakatsumi ◽  
Kazuteru Hatanaka ◽  
Yasushi Tsuji ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Performance Status ◽  
Progression Free Survival ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Prognostic Impact ◽  
Significant Difference

781 Background: The GERCOR index (GI) based on performance status and serum LDH was reported to be useful to predict survival for patients with previously untreated mCRC. However, in the salvage setting, the validity of the GI has not been reported in patients treated with cetuximab (Cmab)-based chemotherapy. Methods: 269 patients with mCRC treated with Cmab contained chemotherapy were retrospectively registered from 27 centers in Japan. This analysis was included in the KRAS Exon2 wild type patients who were refractory to or intolerant of 5-FU / irinotecan/ oxaliplatin and were never administered anti-EGFR-antibody. Univariate and multivariate analysis for overall survival (OS) were performed using patient characteristics. Survival analyses were performed with the Kaplan-Meier method, log-rank test and the Cox proportional hazards model. The analysis was also designed to determine whether the GERCOR index could be extended to progression-free survival (PFS). Results: All data were available for prognostic categorization in 132 patients. Median OS and PFS were 9.8 and 4.3 months. The distribution and median OS / PFS for GI were as follows: low risk (L)(n = 28; 17.9/3.8 months), intermediate risk (I)(n = 52; 12.2/5.0 months), and high risk (H)(n = 52; 7.5/4.1 months). For OS, there was significant difference between L and H (p < 0.001) and between I and H (p < 0.001), but not between L and I (p = 0.076). For PFS, there was significant difference between I and H (p = 0.017), but not between L and I (p = 0.407), and between L and H (p = 0.222). In the Cox multivariate analysis, GI showed an independent prognostic impact (L vs. I ; HR 2.195, p=0.003 / L vs. H ; HR 4.028, p<0.001), but not predictive impact (L vs. I ; HR 0.987, p=0.958 / L vs. H ; HR 1.314, p=0.268). Conclusions: In this analysis, GI might be a prognostic factor in salvage treatment with Cmab-based chemotherapy.

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