Abstract

Background

Not all lung adenocarcinoma (LUAD) patients with activating epidermal growth factor receptor (EGFR) mutations respond to tyrosine kinase inhibitors (TKIs) as intended. Thus, biomarkers are needed to identify patients who benefit most from EGFR-targeted therapy. Our previous in vitro data has shown that the co-signal molecule B7-H3 determines EGFR-TKI gefitinib susceptibility of EGFR-mutated LUAD cell lines, based on the potential crosslinking between B7-H3-induced signaling and EGFR signaling.

Methods

We detected tumoral B7-H3 expression in the original biopsy from 56 treatment-naïve LUAD patients and analyzed the association between high/low B7-H3 expression with the clinical outcomes of first-line anti-EGFR therapy. The main criteria for the analysis of response were overall response rate (ORR), disease control rate (DCR), and progression-free survival (PFS), and the secondary criterion was overall survival (OS).

Results

In the subgroups of B7-H3 high and low expression, the ORR were 16.0% (4/25) and 74.2% (23/31) (p<0.001), and the DCR were 36.0% (9/25) and 87.1% (27/31) (p<0.001), respectively. The PFS of B7-H3 high [median 8.7, 95% confidence interval (CI) 4.0–13.4] was significantly worse than that of B7-H3 low (median not reached) [HR 6.54 (95% CI 2.18–19.60), p=0.001]. The median OS was 15.9 (95% CI 10.0–21.8) months in the B7-H3 high cohort and 25.7 (95% CI 9.0–42.4) months in the B7-H3 low subjects [HR 2.08 (95% CI 1.07–4.02), p=0.03], respectively. Both the univariate and multivariate analyses identified B7-H3 as an independent factor associated with poor PFS (p=0.001, p=0.000) and OS (p=0.03, p=0.015).

Conclusion

B7-H3 may serve as a potential biomarker to predict clinical outcomes in EGFR-mutated LUAD patients treated with first-line EGFR-TKIs.

Details

Title
B7-H3 is eligible for predicting clinical outcomes in lung adenocarcinoma patients treated with EGFR tyrosine kinase inhibitors
Author
Yang, Ying; Jun-feng, Huang; Bing-qi, Hu; Zhou, Jing; Wang, Xian; Zhen-zhong, Feng; Yu-ting, Chen; Fa-ming Pan; Cheng, Huai-dong; Li-wen, Chen
Pages
1-8
Section
Research
Publication year
2022
Publication date
2022
Publisher
BioMed Central
e-ISSN
14777819
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2678221083
Copyright
© 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.