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Annual Meeting Proceedings Part 1 - American Society of Clinical ...

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338s Gynecologic Cancer<br />

5046 General Poster Session (Board #18F), Sun, 8:00 AM-12:00 PM<br />

Neo-escape: Neoadjuvant extended sequential chemotherapy with adjuvant<br />

postoperative treatment for epithelial nonmucinous advanced inoperable<br />

peritoneal malignancy. Presenting Author: Christopher John Poole,<br />

University Hospital Coventry and Warwickshire NHS Trust, Coventry,<br />

United Kingdom<br />

Background: Neo-Escape was designed to exploit fully the modest non-cross<br />

resistance <strong>of</strong> carboplatin (CBDCA) and paclitaxel (ptx) in an extended<br />

sequential regimen, with dose-dense ptx, and address feasibility <strong>of</strong> combining<br />

gemcitabine (gem) with either CBDCA or ptx. Methods: A randomised<br />

phase II trial in patients (pts) with untreated (FIGO stage 3C/4) inoperable<br />

ovarian, fallopian, or primary peritoneal carcinoma to assess feasibility <strong>of</strong><br />

two regimens <strong>of</strong> sequential neoadjuvant-then-adjuvant chemotherapy (CT);<br />

(a) CBDCA AUC 2.5 and gem 1000mg/m2 repeated days 1 and8q3wksx<br />

6 cycles, then ptx 175mg/m2 q 2 wks x 6 cycles (CG-P) or (b) CBDCA AUC 6<br />

q 3 wks x 6 cycles, then ptx 175mg/m2 and gem 2000mg/m2 q2wksx6<br />

cycles (C-PG). All pts were considered for delayed 1o debulking surgery<br />

after neoadjuvant CT. The 1o feasibility outcome was % pts completing 12<br />

cycles <strong>of</strong> CT. Using Fleming’s single stage procedure 44 patients on each<br />

arm were needed to test null hypothesis <strong>of</strong> feasibility �60% with 5%<br />

1-sided significance level and 90% power. 2o outcomes included safety,<br />

PFS and ORR. Pts were stratified by serum albumin, stage and tumor<br />

differentiation. Results: 75 pts were recruited Sept 2007 - May 2011 (28<br />

CG-P; 47 C-PG), median age 62 yr (range 21-75). Recruitment to CG-P<br />

closed early due to futility. 52% had albumin �35g/L, 68% FIGO stage 3C<br />

and 80% poorly differentiated tumors. 64% on CG-P and 55% on C-PG had<br />

debulking surgery as planned and a further 4% on CG-P and 13% on C-GP<br />

after completion <strong>of</strong> all CT. For CG-P 35% achieved 0cm, 35% �1cm and<br />

30% � 1cm residuum; for C-GP 34% 0cm, 13% �1cm and 34% �1cm,<br />

19% TBC. 14/28 pts on CG-P completed all 12 cycles (feasibility 50%;<br />

95% CI 31-67%); 37/47 pts on C-PG (feasibility 79% (95% CI 64-88).<br />

Main reason for early discontinuation was toxicity on CG-P and disease<br />

progression on C-PG. Similar proportions <strong>of</strong> pts on each arm had dose<br />

reductions (68%) or delays (86% on CG-P; 89% on C-PG), mainly for<br />

toxicity. 82% <strong>of</strong> pts experienced grade 3/4 toxicity on CG-P; 72% on C-PG.<br />

Median PFS for CG-P is 14.3 mths (95% CI 11.6-15.7mths) and 13.0<br />

mths (95% CI 11.5-15.4mths) for C-PG. Conclusions: CG-P was not<br />

feasible at these doses using pre-specified criteria, but C-PG is feasible.<br />

5048 General Poster Session (Board #18H), Sun, 8:00 AM-12:00 PM<br />

NKTR-102 in patients with platinum-resistant ovarian cancer (PROC):<br />

Modeling CA125 response and its correlation with tumor response.<br />

Presenting Author: Yen Lin Chia, Nektar Therapeutics, San Francisco, CA<br />

Background: NKTR-102 is a unique topoisomerase 1 inhibitor that provides<br />

continuous exposure to SN38. In heavily pretreated pts with PROC (median<br />

<strong>of</strong> 3 prior therapies; 27 pts were platinum refractory), 145 mg/m2 NKTR-102 given q14d or q21d demonstrated significant anti-tumor<br />

activity (JCO 28:7s, 5013). We present a PK/PD model for CA125 kinetics<br />

that can be used to project GCIG response as an aide to selecting dose and<br />

schedule. Methods: Data from 55 pts with PROC and elevated CA125<br />

(median baseline � 515 U/mL) were fit with a PK/PD model developed to<br />

correlate CA125 dynamics with SN38 conc-time pr<strong>of</strong>iles predicted from<br />

individual pt dosing history: d[CA125]/dt � Kin*exp(beta*t)*(1-[SN38]/<br />

(IC50�[SN38]))-Kout*[CA125]. Results: CA125 pr<strong>of</strong>iles were well described<br />

by the model, with a population mean SN38 IC50 <strong>of</strong> 1.1 ng/mL.<br />

Typical min and max SN38 conc during treatment were 1.5 and 3 ng/mL<br />

for q14d and 0.9 and 2.4 ng/mL for q21d, indicating that both schedules<br />

resulted in SN38 exposure near the IC50. The half-life <strong>of</strong> CA125 decline<br />

was 6.4 days, similar to literature values. 46 <strong>of</strong> 55 pts had pre- and<br />

post-treatment tumor measurements for correlation <strong>of</strong> CA125 response and<br />

tumor size. Overall best response by GCIG and RECIST correlated in 57% <strong>of</strong><br />

pts. 33% <strong>of</strong> pts with GCIG response showed declines in tumor size, albeit<br />

insufficient to classify as RECIST response. 72% <strong>of</strong> pts with GCIG SD<br />

showed at least SD by RECIST. CA125 vs time was simulated for 1000 pts<br />

receiving 145 mg/m2 NKTR-102 q14d or q21d, to allow comparison <strong>of</strong><br />

CA125 and GCIG response between schedules (see table). The % pts per<br />

GCIG response was comparable between schedules, supporting use <strong>of</strong> the<br />

better-tolerated q21d regimen. Conclusions: The PK/PD model described<br />

CA125 pr<strong>of</strong>iles well, providing a tool to predict drug response from SN38<br />

PK data. Close correlation <strong>of</strong> CA125 with tumor size is consistent with<br />

historical use <strong>of</strong> CA125 as a surrogate marker. Predicted CA125 pr<strong>of</strong>iles for<br />

NKTR-102 q14d or q21d were similar, suggesting that the better-tolerated<br />

q21d schedule will produce results consistent with those from Ph 2.<br />

Model-predicted % pts by response.<br />

CR PR SD PD<br />

q14d 19 23 44 14<br />

q21d 16 22 46 16<br />

5047 General Poster Session (Board #18G), Sun, 8:00 AM-12:00 PM<br />

Changes <strong>of</strong> serum glycome in patients suffering from ovarian cancer.<br />

Presenting Author: Veronique Blanchard, Institute <strong>of</strong> Laboratory Medicine,<br />

<strong>Clinical</strong> Chemistry and Pathobiochemistry, Charité Berlin, Berlin, Germany<br />

Background: Protein glycosylation plays an important role in many biological<br />

processes. Most human serum proteins, with the exception <strong>of</strong> albumin,<br />

are glycosylated. Glycosylation is known to be altered with development <strong>of</strong><br />

diseases such as cancer. In the case <strong>of</strong> ovarian cancer, tumor markers<br />

among them CA-125 that are clinically used are known to have poor<br />

specificity. In addition, they fail to detect the disease at an early stage.<br />

Therefore, better biomarkers are needed. The aim <strong>of</strong> the present research<br />

work is to identify new potential glycan biomarkers by analyzing the serum<br />

N-glycome <strong>of</strong> patients suffering from ovarian cancer Methods: Serum was<br />

collected from 67 patients as well as from 33 healthy age-matching<br />

women. N-glycans were released from 10 ul serum by PNGase F digestion,<br />

permethylated and subsequently analyzed by means <strong>of</strong> MALDI-TOF mass<br />

spectrometry. The SPSS s<strong>of</strong>tware was used for the statistical analysis.<br />

Results: The N-glycome <strong>of</strong> patients was found to have more fucosylated<br />

structures, especially in tri- and tetraantennary sialylated glycans. The PCA<br />

analysis indicates that there are significant differences between the<br />

glycome <strong>of</strong> ovarian cancer patients in all stages <strong>of</strong> the disease and the<br />

glycome <strong>of</strong> healthy controls. We identified 14 potential structures that were<br />

divided in two categories, one <strong>of</strong> mon<strong>of</strong>ucosylated structures with high<br />

antennarity (sensitivity 94%, specificity 97%) and one containing highmannose<br />

structures and an asialylated structures (sensitivity 97%, specificity<br />

97%). Conclusions: Our study is the first trial to identify major<br />

differences between ovarian cancer sera and control sera, which could<br />

potentially be used in the future as biomarkers.<br />

5049 General Poster Session (Board #19A), Sun, 8:00 AM-12:00 PM<br />

Longitudinal health-related quality <strong>of</strong> life assessment: Implications for<br />

prognosis in ovarian cancer. Presenting Author: Donald Peter Braun,<br />

Cancer Treatment Centers <strong>of</strong> America, Zion, IL<br />

Background: Several studies in the oncology literature have demonstrated<br />

the prognostic value <strong>of</strong> baseline quality <strong>of</strong> life (QoL). However, there is little<br />

to no information on the prognostic effects <strong>of</strong> changes in QoL during<br />

treatment. We investigated whether changes in QoL could predict survival<br />

in ovarian cancer patients treated with an integrative model <strong>of</strong> care.<br />

Methods: We evaluated 137 ovarian cancer patients treated at our institution<br />

between Jan 2001 and Dec 2009 who were available for a minimum<br />

follow-up <strong>of</strong> 3 months. QoL was evaluated at baseline and after 3 months <strong>of</strong><br />

treatment using EORTC-QLQ-C30. The QLQ-C30 incorporates a global<br />

scale, 5 function scales and 8 symptom scales. Patient survival was defined<br />

as the time between date <strong>of</strong> first patient visit and date <strong>of</strong> death from any<br />

cause/date <strong>of</strong> last contact. Cox regression was performed to evaluate the<br />

prognostic significance <strong>of</strong> baseline and changes in QoL scores after<br />

adjusting for age, treatment history and stage at diagnosis. Results: Mean<br />

age at diagnosis was 51.1 years. 28 patients were newly diagnosed while<br />

109 were previously treated. Stage at diagnosis was I, 16; II, 15; III, 72; IV,<br />

28; and 6 indeterminate. Median overall survival was 33.5 months (95%<br />

CI: 11.5-55.6 months). Baseline QoL scale predictive <strong>of</strong> survival upon<br />

multivariate analysis was nausea/vomiting (p�0.04). Associations between<br />

changes in QoL and survival were observed for global function, appetite loss<br />

and constipation. Every 10-point increase (improvement) in global function<br />

from baseline to 3 months was associated with a 10% decreased risk <strong>of</strong><br />

death (HR�0.90; 95% CI�0.81 to 0.99, p�0.03). The corresponding<br />

HRs for 10-point increase (deterioration) in appetite loss and constipation<br />

scales were 1.20 (1.06 to 1.35; p�0.005) and 1.13 (1.02, 1.24;<br />

p�0.02) respectively. Conclusions: This exploratory study provides some<br />

preliminary evidence to indicate that ovarian cancer patients whose QoL<br />

improves within 3 months <strong>of</strong> treatment have a significantly increased<br />

survival time compared to those who fail to demonstrate improvement.<br />

These findings might be used in clinical practice to systematically address<br />

QoL-related problems <strong>of</strong> ovarian cancer patients throughout their treatment<br />

course.<br />

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