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J. He
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P1.06 - Epidemiology/Primary Prevention/Tobacco Control and Cessation (ID 692)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Epidemiology/Primary Prevention/Tobacco Control and Cessation
- Presentations: 1
- Moderators:
- Coordinates: 10/16/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
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P1.06-019 - The Association Between HPV Presence and EGFR Mutations in Asian Patients with NSCLC: A Meta-Analysis (ID 10108)
09:30 - 09:30 | Author(s): J. He
- Abstract
Background:
The etiology of non-smoking NSCLC remains largely unknown. It has been widely proved that human papillomavirus (HPV) participate in the development of various cancers unrelated to smoking. Epidermal growth factor receptor (EGFR) mutation patients represent a large part of non-smokers with NSCLC. We performed this meta-analysis to evaluate whether HPV infection in NSCLC tissue is associated with EGFR mutation compared with HPV negative controls.
Method:
MEDLINE, EMBASE, PubMed and Web of Science were searched through June 2017, using the search terms “lung cancer”, “human papillomavirus”, “HPV”, “epidermal growth factor receptor”, “EGFR” and their combinations. We included studies in which HPV detection was based on PCR methods. Association was tested using odds ratio (OR) with 95% confidence intervals (95%CI). Heterogeneity was assessed using Q and I[2] statistic.
Result:
Finally, three studies with a total of 288 patients from Asian countries were identified as eligible publications. The presence of EGFR mutation was significantly related to HPV DNA compared with HPV negative controls (57% vs. 27%，OR 3.91, 95% CI 1.85 to 5.50; p<0.001), with no statistical heterogeneity among studies (I[2]=0; p=0.525).
Conclusion:
Our results suggest that HPV may contribute in part to EGFR mutations in non-small cell lung cancer, at least in Asian population.
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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)
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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): J. He
- 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.
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P3.03 - Chemotherapy/Targeted Therapy (ID 719)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Chemotherapy/Targeted Therapy
- Presentations: 1
- Moderators:
- Coordinates: 10/18/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
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P3.03-017 - Blood Samples NGS for Baseline Molecular Signature of Anotinib Treated Advanced NSCLC Patients in ALTER0303 Trial (ID 9670)
09:30 - 09:30 | Author(s): J. He
- Abstract
Background:
Anlotinib hydrochloride, an oral multi-target TKI targeting VEGFR, FGFR, PDGFR and c-Kit, have demonstrated noticeable effects for advanced NSCLC as 3[rd] line treatment in phase III trial (ALTER0303). Anlotinib significantly improved OS (9.63 vs. 6.30 months, p=0.0018, HR=0.68) and PFS (5.37 vs 1.40 months, p<0.0001, HR=0.26) comparing to placebo. Here, we applied ctDNA-based NGS to investigate the association between baseline molecular signature and clinical parameters.
Method:
Blood samples were collected from patients who enrolled in Anlotinib arm in ALTER0303 trial. Total of 92 samples were analyzed by capture-based targeted ultra-deep sequencing using a panel consisting of critical exons and introns of 168 NSCLC-related genes for the baseline genetic profiling.
Result:
At baseline, ctDNA was detected in 85% samples (78/92), driver mutation was found in 58% (53/92) samples. POM121L12 and CDKN2A mutations showed a tendency of co-occurrence with TP53, and mutually exclusivity was found between KEAP1 and TP53. The correlation between baseline molecular signature and treatment efficacy measured by PFS or best response was also investigated. Maximum mutation allele frequency (MAF) at baseline was inversely correlated with PFS (P=0.006, HR=0.612, 95%CI: 0.402-0.932). Patients achieving SD or PR had a significantly lower MAF comparing to patients having PD as their best response (p=0.018). Tumor mutation burden (TMB) is positively correlated with age (p=0.016) and gender (p=0.01). POM121L12, TP53 and MYC statuses are correlated with metastases burden. Moreover, as an important drive gene, EGFR mutation and/or EGFR amplification was found in 36 patients at baseline. In 27 patients with sensitizing EGFR mutation (L858R or 19 del), no significant differences was found in PFS compare to those without this mutation (n=65) (5.53 vs 5.53 months, p=0.495, HR=1.16, 95%CI: 0.73-1.85). As well, no significant difference was found in PFS between the patients with (n=17) or without EGFR T790M mutation (5.53 vs 5.53 months, p=0.253, HR=1.35, 95%CI: 0.75-2.41). Interestingly, in patients with EGFR amplification (n=10), the PFS is significantly shorter than those with normal EGFR copy number (2.12 vs 5.57 months, p=0.002, HR=2.70, 95%CI: 0.99-7.36). However, a tendency of PFS benefit is still observed in patients with EGFR amplification treated by Anlotinib comparing placebo arm in ALTER0303 (1.40 months).
Conclusion:
According to available data, no correlation was found between PFS and EGFR sensitizing mutations or T790M in anlotinib treatment. The negative correlation of EGFR amplification and PFS is still need verification to eliminate the bias caused by the disparity and limitation of samples. A larger scale analysis is ongoing.
