Virtual Library
Start Your Search
C. Huang
Author of
-
+
P2.03 - Chemotherapy/Targeted Therapy (ID 704)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Chemotherapy/Targeted Therapy
- Presentations: 1
- Moderators:
- Coordinates: 10/17/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
-
+
P2.03-047 - The Main Treatment Failure Pattern for Completely Resected Stage II–IIIA (N1–N2) EGFR-Mutation Positive Lung Cancer (ID 9743)
09:30 - 09:30 | Author(s): C. Huang
- Abstract
Background:
ADJUVANT (CTONG 1104) is the first randomized trial shows significantly prolonged disease-free survival (DFS) in completely resected stage II-IIIA (N1-N2) epidermal growth factor receptor (EGFR)-mutation positive non-small-cell lung cancer (NSCLC) through adjuvant gefitinib compare with vinorelbine plus cisplatin (VP). Further we aim to analyze the treatment failure pattern in ADJUVANT study.
Method:
In the ADJUVANT trial, a total of 222 patients with completely resected stage N1–N2 EGFR-mutation positive NSCLC were randomized 1:1 into gefitinib group (250mg, QD, 24 months ) or vinorelbine (25mg/m[2] Day 1/Day 8) plus cisplatin (75mg/m[2] Day 1) group (every 3 weeks for 4 cycles) respectively. Any recurrence or metastases occurred during the follow-up period was defined as treatment failure. Recurrent pattern in both group were analyzed with follow-up data (until Mar 9[th] 2017) integrated.
Result:
At the Data cut-off date for the primary analysis of DFS, 124 progression events (55.9% maturity overall) had occurred; 114 patients had disease recurrence,10 patients died before disease recurrence. Analysed recurrent pattern include lung, brain, liver, bone adrenal gland, pleura, pericardium, spleen and regional lymph nodes metastasis. Even no significant differences were found, highest proportion of patients in both group(18.9% for VP and 26.1% for gefitinib, p=0.199) surfer brain metastasis with lung metastases being the second common recurrent site. Time to brain metastases showed no significantly difference between the two groups (not reach vs 40.8m, p>0.05). Among the 29 brain metastases patients with gefitinib, the brain metastases occurred in 17 patients during the gefitinib treament, and 12 patients relapse after the gefitnib termination. Figure 1
Conclusion:
Compared with other site metastases, lung, brain and regional lymph nodes metastases account for major proportion of recurrence in ADJUVANT study. (NCT01405079)
-
+
P3.01 - Advanced NSCLC (ID 621)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Advanced NSCLC
- Presentations: 1
- Moderators:
- Coordinates: 10/18/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
-
+
P3.01-087 - Impact Factor Analysis for Efficacy and Prognosis of Anlotinib in NSCLC as Third-Line Treatment: Data from Trial ALTER 0303 (ID 9129)
09:30 - 09:30 | Author(s): C. Huang
- Abstract
Background:
Anlotinib hydrochloride is a novel TKI targeting the VEGFR, FGFR, PDGFR and c-Kit. With the capability of inhibiting the tumor angiogenesis and tumor cell itself, anlotinib had showed significantly improvement in OS (9.63 vs. 6.30 months, HR=0.68, 95%CI 0.54-0.87, p=0.0018) and PFS (5.37 vs. 1.40 months, HR=0.26, 95%CI 0.21-0.33, p<0.0001) in ALTER 0303 study for refractory cancer, a randomized, double-blind, placebo-controlled Phase Ⅲ trial in China. Here, we report the main impact factors affecting the efficacy and prognosis of anlotinib based on the data from ALTER0303 to elucidate the most benefit population.
Method:
Analyzed data were collected from 294 patients that were enrolled in ALTER0303 trial and received anlotinib treatment between 4[th] March 2015 and 15[th] August 2016. The statistical analysis was conducted using SPSS19.0 software, in which the measuring and enumeration materials were described with Mean±SD and frequency/percentage respectively, Kaplan-Meier method was used for survival curves in survival analysis. Independent impact factors of OS and PFS were identified by univariate and multivariate analysis in Cox proportional hazards regression model (Significant level, α=0.05).
Result:
Several factors were discovered to be associated with the efficacy of Anlotinib treatment. The impact factors were presented in Tab1.Tab1. Impact factors for PFS and OS analyzed by Cox proportional hazards regression model Independent risk factor Independent protective factor PFS Ratio of granulocytes to lymphocytes at PD (HR=1.07, 95%CI 1.041-1.100, p<0.0001) Elevated ALP level (HR=1.553, 95%CI 1.142-2.112, p=0.005) Baseline sum of longest diameters of target lesions (HR=1.004, 95%CI 1.001-1.006, p=0.007) Elevated TSH level (HR= 0.555, 95%CI 0.422-0.730, p<0.0001) Hypercholesteremia (HR=0.720, 95%CI 0.534-0.971, p=0.031) Hypertension (HR=0.482, 95%CI 0.370-0.628, p<0.0001) Hand-foot skin reaction (HR=0.489, 95%CI 0.373- 0.643, p<0.0001) Elevated LDL level (HR=0.630, 95%CI 0.437-0.909, p=0.014) Age (HR=0.987, 95%CI 0.975-0.999, p=0.039) OS Ratio of granulocytes to lymphocytes at PD (HR=1.116, 95%CI 1.081-1.151, p<0.0001) Baseline sum of longest diameters of target lesions (HR=1.006, 95%CI 1.003-1.008, p<0.0001) ECOG PS≥2 at PD (HR=2.245, 95%CI 1.704- 3.508, p<0.0001) Elevated TSH level (HR=0.725, 95%CI 0.524- 1.005, p=0.053) Hypertriglyceridemia (HR=0.601, 95%CI 0.440-0.821, p<0.0001) Rash (HR=0.581, 95%CI 0.369-0.916, p=0.019) Female (HR=0.713, 95%CI 0.533-0.953, p=0.022)
Conclusion:
This analysis explored the possible impact factors of PFS and OS in Anlotinib treatment. Moreover, we provide real data for the prediction of Anlotinib efficacy and most benefit population through the baseline characteristics and variety of clinical index. However, further analysis in the larger scale study is still looking forward.