Effect of concomitant medications on overall survival in patients with cancer undergoing immunotherapy.

2019 ◽  
Vol 37 (8_suppl) ◽  
pp. 94-94 ◽  
Author(s):  
Daniel Spakowicz ◽  
Marium Husain ◽  
Gabriel Tinoco ◽  
Sandip H. Patel ◽  
Jarred Thomas Burkart ◽  
...  
Keyword(s):  
Overall Survival ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Performance Status ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Medication History ◽  
Combination Methods ◽  
Concomitant Medications

94 Background: The response to Immunotherapy (IO) is known to be affected by concomitant medications including corticosteroids and antibiotics. We evaluated the medication history of patients undergoing IO to explore other medications that affect overall survival and to estimate the relative impact of each medication when given in combination. Methods: A retrospective review of patients with advanced cancer who received IO from 2011 to 2017 at the Ohio State University was performed with IRB approval. Data were extracted from the medical record, including medication history 180 days around the start of IO therapy. Data were collected in a REDCap database. Overall Survival (OS) was calculated from the initiation of IO. Cox Proportional-Hazards models were used and evaluated by log-rank test at alpha = 0.05. All calculations were performed using the survival and survminer packages in R. Results: Patients who received antibiotics or corticosteroids had decreased OS (p = 0.019 and p = 0.043, respectively) across several cancer types. Medications that were not significantly associated with OS included statins (p = 0.38), proton pump inhibitors (p = 0.94), H2 blockers (p = 0.27) and NSAIDS (p = 0.46). A total of 159 patients had complete data for all medications suitable for modeling relative effects. 149 (94%) of patients received antibiotics within 180 days of IO and 19 (12%) received both corticosteroids and antibiotics. The combination of corticosteroids and antibiotics had lower median OS than antibiotics alone or neither medication (p < 0.0018). A Cox Proportional Hazards model of antibiotics and corticosteroids, controlling for age, BMI and ECOG performance status, showed antibiotics, age and BMI to be significant predictors. Conclusions: Antibiotics and corticosteroids near the start of IO reduced overall survival, and the combination reduced the median overall survival further. However, a combined model that controlled for age, BMI and ECOG showed antibiotics, age and BMI to have a significant effect on OS. Though preliminary, these results suggest that antibiotics and corticosteroids may be affecting OS in the context of IO through overlapping pathways.

Prognostic factors for overall survival with sunitinib as first-line therapy in patients with metastatic renal cell carcinoma (mRCC)

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 5042-5042
Author(s):  
S. Patil ◽  
R. A. Figlin ◽  
T. E. Hutson ◽  
M. D. Michaelson ◽  
S. Négrier ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Progression Free Survival ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Type I ◽  
First Line

5042 Background: Sunitinib demonstrated superior progression-free survival (PFS; the primary endpoint) over interferon-alfa (IFN-α) as first-line mRCC therapy (NEJM 2007;356:115). Median overall survival (OS) with sunitinib compared to IFN-α was: 26.4 vs. 21.8 months (HR=0.821; P=0.051 by unstratified log-rank test; Proc ASCO 2008;26, May 20 suppl; abstr 5024). An analysis of prognostic factors for OS was performed on data from this trial. Methods: 750 treatment-naïve mRCC patients were randomized 1:1 to receive sunitinib or IFN-α. By Cox proportional hazards model, selected pretreatment variables were evaluated univariately and in a multivariate model for each treatment arm. Multivariate models for each treatment arm were based on a stepwise algorithm with a type I error of 0.25 for entry and 0.15 for elimination. Further elimination was applied to identify variables significant at P<0.05. Results: In multivariate analysis of sunitinib patients, factors associated with longer OS include: interval from diagnosis to treatment ≥1 yr, ECOG PS of 0, lower corrected calcium, absence of bone metastases, lower lactic dehydrogenase (LDH), and higher hemoglobin (Hgb) ( table ). For the IFN-α treatment arm, male gender, absence of bone or lymph node metastases, lower LDH, higher Hgb, lower corrected calcium, higher neutrophil count, and interval from diagnosis to treatment ≥1 yr were associated with longer OS. Conclusions: For patients in the sunitinib treatment arm, prognostic factors identified were similar to the factors previously identified in the MSKCC risk groups (J Clin Oncol 2002;20:289). Additional prognostic factors were identified for the IFN-α arm. Further studies are warranted to independently validate these findings as well as to identify tumor-specific prognostic factors. [Table: see text] [Table: see text]

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.

The outcome of patients with stage I endometrial cancer involving the lower uterine segment

2008 ◽  
Vol 18 (5) ◽  
pp. 1079-1083 ◽  
Author(s):  
O. Lavie ◽  
L. Uriev ◽  
M. Gdalevich ◽  
F. Barak ◽  
G. Peer ◽  
...  
Keyword(s):  
Overall Survival ◽  
Endometrial Carcinoma ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Myometrial Invasion ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Stage I ◽  
Rank Test ◽  
Log Rank Test

The objective of this study was to evaluate whether lower uterine segment involvement (LUSI) correlates with recurrence and survival in women with stage I endometrial adenocarcinoma and whether it is associated with poor prognostic histopathologic features. Three hundred seventy-five consecutive patients with endometrial carcinoma stage I compromised the study population. The patients were divided into two groups according to the presence of LUSI with endometrial carcinoma. The two groups were compared with regard to prognostic factors and outcome measures by using the Pearson χ2 test, log-rank test, and Cox proportional hazards model. LUSI was present in 89 (24%) patients with stage I endometrial carcinoma. LUSI was significantly associated with grade 3 tumor (P= 0.022), deep myometrial invasion (P< 0.0001), and the presence of capillary space-like involvement (CSLI) (P= 0.003). Kaplan–Meier survival curves demonstrated that patients with LUSI had a lower recurrence-free survival (log-rank test; P= 0.009) and a worse overall survival (log-rank test; P= 0.0008). In the Cox proportional hazards model, only a trend toward higher recurrence rate (HR = 2.4, 95% CI 0.7, 8.2; P= 0.16) and a trend toward poorer overall survival (HR = 1.54, 95% CI 0.82, 2.91; P= 0.18) were noted when LUSI was present. In patients with stage I endometrial cancer, the presence of LUSI is associated with grade 3 tumor, deep myometrial invasion, and the presence of CSLI. A larger group of patients is necessary to conclude whether higher recurrence rate and poorer overall survival are associated with the presence of LUSI.

scholarly journals The correlation between gain of chromosome 8q and survival in patients with clear and papillary renal cell carcinoma

2017 ◽  
Vol 10 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Reza Mehrazin ◽  
Essel Dulaimi ◽  
Robert G. Uzzo ◽  
Karthik Devarjan ◽  
Jianming Pei ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Cytogenetic Analysis ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Renal Tumors ◽  
Rank Test

Background: The proto-oncogene c-MYC, located on chromosome 8q, can be upregulated through gain of 8q, causing alteration in biology of renal cell carcinoma (RCC). The aim of this study was to evaluate the prevalence of c-MYC through chromosome 8q gain and to correlate findings with cancer-specific mortality (CSM), and overall survival (OS). Methods: Cytogenetic analysis by conventional or Chromosomal Genomic Microarray Analysis (CMA) was performed on 414 renal tumors. Nonclear and nonpapillary RCC were excluded. Impact of gain in chromosome 8q status on CSM, OS, and its correlation with clinicopathological variables were evaluated. CSM and OS were assessed using log-rank test and the Cox proportional hazards model. Results: A total of 297 RCC tumors with cytogenetic analysis were included. Gain of 8q was detected in 18 (6.1%) tumors (9 clear cell and 9 papillary RCC), using conventional method ( n = 11) or CMA ( n = 7). Gain of 8q was associated with higher T stage ( p < 0.001), grade ( p < 0.001), nodal involvement ( p = 0.005), and distant metastasis ( p < 0.001). No association between gain of 8q and age ( p = 0.23), sex ( p = 0.46), and Charlson comorbidity index (CCI, p = 0.59) were seen. Gain of 8q was associated with an 8.38-fold [95% confidence interval (CI), 3.83–18.34, p < 0.001] and 3.31-fold (95% CI, 1.56–7.04, p = 0.001) increase in CSM and decrease in OS, respectively, at a median follow up of 56 months. Conclusion: Chromosome 8q harbors the proto-oncogene c-MYC, which can be upregulated by gain of 8q. Our findings suggest that gain of 8q, can predict aggressive tumor phenotype and inferior survival in RCC.

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.

scholarly journals Blood eosinophils on hospital admission for COPD exacerbation do not predict the recurrence of moderate and severe relapses

2021 ◽  
Vol 7 (1) ◽  
pp. 00543-2020
Author(s):  
Balázs Csoma ◽  
András Bikov ◽  
Ferenc Tóth ◽  
György Losonczy ◽  
Veronika Müller ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Forced Expiratory Volume ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Full Blood Count ◽  
Rank Test ◽  
Severe Exacerbation ◽  
Increased Risk ◽  
Exacerbation Of Copd

Background and objectiveThe relationship between hospitalisation with an eosinophilic acute exacerbation of COPD (AE-COPD) and future relapses is unclear. We aimed to explore this association by following 152 patients for 12 months after hospital discharge or until their first moderate or severe flare-up.MethodsPatients hospitalised with AE-COPD were divided into eosinophilic and non-eosinophilic groups based on full blood count results on admission. All patients were treated with a course of systemic corticosteroid. The Cox proportional hazards model was used to study the association with the time to first re-exacerbation; a generalised linear regression model was applied to identify clinical variables related to the recurrence of relapses.ResultsWe did not find a difference in the time to the next moderate or severe exacerbation between the eosinophilic (≥2% of total leukocytes and/or ≥200 eosinophils·µL−1, n=51, median (interquartile range): 21 (10–36) weeks) and non-eosinophilic groups (n=101, 17 (9–36) weeks, log-rank test: p=0.63). No association was found when other cut-off values (≥3% of total leukocytes and/or ≥300 eosinophils·µL−1) were used for the eosinophilic phenotype. However, the higher number of past severe exacerbations, a lower forced expiratory volume in 1 s (FEV1) at discharge and higher pack-years were related to shorter exacerbation-free time. According to a subgroup analysis (n=73), 48.1% of patients with initial eosinophilic exacerbations had non-eosinophilic relapses on readmission.ConclusionsOur data do not support an increased risk of earlier recurring moderate or severe relapses in patients hospitalised with eosinophilic exacerbations of COPD. Eosinophilic severe exacerbations present a variable phenotype.

Treatment of metastatic disease with immune checkpoint inhibitors nivolumab and pembrolizumab: Effect of performance status on clinical outcomes.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18689-e18689
Author(s):  
Leah Wells ◽  
Michael Cerniglia ◽  
Audrey C. Jost ◽  
Gregory Joseph Britt
Keyword(s):  
Disease Control ◽  
Proportional Hazards Model ◽  
Checkpoint Inhibitors ◽  
Performance Status ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Time To Death ◽  
Significant Difference ◽  
Line Of Therapy

e18689 Background: While guidelines exist for appropriate use of chemotherapy in the metastatic setting based on performance status, such recommendations are less readily available for immune checkpoint inhibitors (ICIs). We sought to determine if there is a relationship between Eastern Cooperative Oncology Group (ECOG) performance status and outcomes on immunotherapy in patients treated for metastatic disease at our community-based oncology practice. Methods: 253 patients were identified as receiving nivolumab or pembrolizumab for stage IV malignancy at Cancer Centers of Colorado-SCL Health, between June 2018 and November 2020. Patients initiated on therapy after May 2020 were excluded from analysis, due to insufficient (less than 6 months) follow-up time. The remaining 183 patients were included in a retrospective cohort study comparing patients with ECOG 0, ECOG 1, and ECOG 2-4. Sex, age, type of cancer, and line of therapy were collected. Time on therapy was also calculated. Best response to therapy was determined (disease control or progressive disease). These baseline factors and outcomes were compared using ANOVA for numeric variables and chi-square tests of association for categorical variables. Time from initiation of ICI to death or hospice was also investigated and compared using a log-rank test. In addition, a multivariate Cox proportional hazards model was developed for the outcome, time to death/hospice, versus the predictors ECOG status, age, gender, and line of therapy. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated. Results: Of the 183 patients included in analysis, 31.7% had an ECOG of 0, 48.6% an ECOG of 1, and 19.7% an ECOG of 2-4. Non-small cell lung cancer and melanoma represented the majority of patients in each group. Gender and line of therapy did not differ between groups. There was a significant difference in age (p = 0.02) with mean age 62, 66, and 70 in ECOG 0,1, and 2-4, respectively. 54.6% of patients remained on therapy for at least 6 months (182 days), and there was no significant difference between groups in ability to complete 6 months of therapy (p = 0.32). For ECOG 0, 1, and 2-4, disease control was achieved in 67.2%, 59.6 %, and 41.7%, respectively (p = 0.048). Analysis of time to death/hospice with a log rank test and Kaplan Meier plot showed a significant difference between groups (p < 0.001). A multivariate Cox proportional hazards model revealed that patients with ECOG 0 had significantly longer time to death/hospice compared to patients in both other groups, after controlling for age, gender, and line of therapy (ECOG 1 vs. 0: HR 2.5, CI 1.27-4.9; ECOG 2-4 vs. 0: HR 2.83, CI 1.31-6.13). Conclusions: In this single institution retrospective study of patients receiving nivolumab or pembrolizumab for metastatic cancer, ECOG 0 was associated with disease control and increased time before death or transition to hospice.

Association of Surgical Resection, Disability, and Survival in Patients with Glioblastoma

2019 ◽  
Vol 80 (04) ◽  
pp. 262-268 ◽  
Author(s):  
Yahya Ahmadipour ◽  
Monika Kaur ◽  
Daniela Pierscianek ◽  
Oliver Gembruch ◽  
Marvin Darkwah Oppong ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Karnofsky Performance Status ◽  
Performance Status ◽  
Extent Of Resection ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Surgical Modality ◽  
Supratotal Resection

Objective Extent of resection (EOR) and Karnofsky Performance Status (KPS) are at odds in glioblastoma (GBM) surgery, that is, the anticipated postoperative disability limits the EOR. This study analyzes the correlation of different surgical modalities with the resulting physical status and survival of patients with GBM. Methods A total of 565 patients with primary GBM were operated on in a single institution between 2006 and 2014. Possible surgical modalities comprised supratotal resection (SLR), gross total resection (GTR; ≥ 95% by volume), tumor debulking (TDB; ≤ 95% by volume), and stereotactic biopsy (SB). Pre- and postoperative KPS before and up to 4 weeks after surgery as well as overall survival (OS) rate were determined retrospectively. Hazard ratio (HR) and 95% confidence intervals were calculated using a Cox proportional hazards model. Results Median postoperative KPS was ≥ 70, irrespective of surgical modality. Mean OS was 12.5 months. Multivariate analysis revealed age ≥ 70 years (HR: 1.93), preoperative KPS < 70 (HR: 2.15), and unmethylation in MGMT promoter (HR: 1.27) as independent factors for worse OS. Regarding surgical modality, SB was associated with the worst survival (HR: 2.3) followed by TDB (HR: 1.36). SLR was inferior to GTR (HR: 1.27). Conclusion Higher EOR in patients with GBM does not seem inevitably correlated with increasing functional impairment, but better survival, provided there is a balanced preoperative indication. Nevertheless, SLR does not seem to be superior to GTR. Whenever possible, maximal safe resection should be considered in patients with GBM, even if an EOR ≥ 95% is not possible.

CD38 Variation in Chronic Lymphocytic Leukemia

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4576-4576
Author(s):  
Ryan D. Nipp ◽  
J. Brice Weinberg ◽  
Alicia D. Volkheimer ◽  
Evan D. Davis ◽  
Youwei Chen ◽  
...  
Keyword(s):  
Overall Survival ◽  
Proportional Hazards Model ◽  
Prognostic Significance ◽  
Cox Proportional Hazards ◽  
Lymphocytic Leukemia ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Cd38 Expression ◽  
Log Rank Test ◽  
Maximum Minimum

Abstract Abstract 4576 Background: Chronic lymphocytic leukemia (CLL) has a highly variable clinical course. Some patients require treatment early while others can be monitored without therapy. CD38 expression has been shown in multiple cohorts to have prognostic significance. An elevated percentage of CD38 positive CLL lymphocytes at the time of diagnosis is correlated with a more rapid need for therapy and a shorter overall survival. The extent to which CD38 varies during the course of CLL, including after therapy, has only been evaluated in a limited fashion. Methods: From a cohort of over 500 CLL patients at the Duke University and Durham VA Medical Centers, we selected 136 patients in whom we had measured CD38 expression by flow cytometry on two or more occasions. We determined the first, maximum, minimum, and range (maximum – minimum) CD38 values. We compared these values to other molecular prognostic markers using Wilcoxon tests and assessed the prognostic significance of these values using Cox proportional hazard models and Kaplan-Meier analyses. Results: Of the 136 patients, 70% were male and 88% Caucasian, with a median age of 60. The majority had low clinical stage at diagnosis—either Rai stage 0 (68%) or 1 (19%). Molecular prognostic markers were also generally favorable. Eighty-two (67%) patients had mutated IGHV status, 69 (51%) were ZAP70 negative, and 76 (63%) had either 13q deletion or normal cytogenetics, determined by fluorescent in situ hybridization. CD38 expression was measured a median of 5.5 times (2 – 19). The median time between the first and last CD38 measurements was 1206 days (81 – 4109). The median values were 6% (0.6 – 99) for maximum CD38, 1.5% (0 to 84.5) for minimum CD38, and 4.9% (0.2 to 95.3) for CD38 range. Maximum, minimum, and CD38 range were significantly lower in patients with mutated compared to unmutated IGHV status (p < 0.005 for all parameters, Wilcoxon rank sum test). Elevated maximum and CD38 range were significantly associated with a more rapid time to therapy (TTT) and shorter overall survival (OS) in a univariate Cox proportional hazards model (p < 0.03 for all, Wald test). In a multivariate Cox proportional hazards model including first CD38 and maximum CD38 values, only maximum CD38 remained statistically significant. We found that patients with high CD38 variation (CD38 range greater than the median) had significantly shorter TTT and OS than patients with low CD38 variation (p = 0.002 for both, log rank test). Using receiver operator characteristic analyses, we determined that the best cut-off for dichotomizing the first CD38 according to TTT and OS in the entire Duke/Durham VA CLL cohort was 11%. Using this cut-off, 15 patients (11%) converted from CD38 negative to CD38 positive. Using the standard 30% cut-off, 14 patients (10%) converted from CD38 negative to CD38 positive. Patients with a first CD38 measurement less than 11% and subsequent measurements above 11% had a favorable OS, similar to patients with low CD38 for all measurements (p = 0.002, log rank test). However, patients with a first CD38 measurement less than 30% who had subsequent measurements above 30% had an inferior OS, similar to patients with high CD38 for all measurements (p = 0.006, log rank test). Lastly, among 24 patients with CD38 measurements before and after first therapy, the percentage of CD38 positive cells increased in 19 patients (79%), with a median value of 3.2% before to 6.9% after therapy (p = 0.005, Wilcoxon signed rank test). Conclusions: CD38 values vary as patients transition across the disease trajectory. This variation appears to have prognostic significance, with high variation associated with faster time to first therapy and shorter overall survival. Additionally, in our cohort, a patient's maximum CD38 value had more prognostic significance than a single initial measurement. Thus, longitudinally measuring CD38 throughout the clinical course of CLL could aid in the management of CLL patients, refining the initial prognostic assessment, and improving patient counseling and decision making. Disclosures: No relevant conflicts of interest to declare.

Tumor IGF-1 expression as a predictive biomarker for IGF1R-directed therapy in advanced pancreatic cancer (APC).

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 4054-4054 ◽  
Author(s):  
Milind M. Javle ◽  
Rachna T. Shroff ◽  
Gauri R. Varadhachary ◽  
Robert A. Wolff ◽  
David R. Fogelman ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Predictive Biomarker ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Primary Study ◽  
Study Objective ◽  
Log Rank Test ◽  
Hazards Model

4054 Background: IGF-1 up-regulates PC proliferation and invasiveness through activation of PI3K/Akt signaling pathway and down-regulates PTEN. We investigated IGF-1 expression in tissue and blood as potential predictive markers in phase II study of IGF1R-directed monoclonal antibody, MK-0646 in APC. Prior phase I established the MTD of MK0646 at 5 mg/kg with gemcitabine (G) and erlotinib (E) and 10 mg/kg with G alone. Methods: Patients (pts) with stage IV, previously untreated APC, ECOG PS 0-1, adequate hematologic and organ function were enrolled. Arm A: G 1,000 mg/m2 over 100 min, weekly x 3, MK-0646 weekly x 4; Arm B: G 1000 mg/m2 and MK-0646 + E 100 mg daily. Arm C (control) was G 1,000 mg/m2 + E 100 mg. Cycles were repeated every 4 weeks. Pts were equally randomized in the 3 arms. Primary study objective was progression-free survival (PFS). Pre-treatment peripheral blood samples were measured for IGF-1 level by ELISA; archival core biopsies were analyzed for IGF-1 mRNA expression. RNA extraction from FFPE samples used Roche Transcriptor First Strand cDNA Synthesis Kit. TaqMan PreAmp technique was used to amplify target cDNA prior to TaqMan RT-PCR analysis. Cox proportional hazards model for PFS analyzed the interaction between tissue IGF-1 expression and treatment. Results: 50 pts were enrolled (A=15, B=16,C=16 pts, 3 ineligible). Median PFS of arms A, B and C were 5.5 months (95% CI: 3.9 – NA), 3.0 months (95% CI:1.8 – 5.6) and 2.0 months (95% CI: 1.8 – NA), respectively (log-rank test; p = 0.17). Median OS of A was 11.3 months (95% CI: 8.9 – NA), B 8.9 months (95% CI: 5.3 – NA) and C 5.7 months (95% CI: 2.0 – NA) (log-rank test; p = 0.44). 35 archival core biopsies were analyzed, 21 had adequate tissue for analysis. Using a Multivariable Cox proportional hazards model for PFS, where IGF-1 was dichotomized at the median, there was a 76% reduction in the risk of disease progression or death in arm A as compared with the control (arm C) at high IGF-1 level (p = 0.16). When IGF-1 was fitted as a continuous variable, this reduction was 96% (p = 0.08). There was no correlation between tissue and serum IGF-1. Conclusions: Tissue expression of IGF-1 level may represent a promising predictive biomarker for IGF1R-directed therapy in APC.

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