Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster Display session

95P - Neoadjuvant treatment pattern and association between real-world event-free survival (rwEFS) and overall survival (OS) in patients (pts) with resected early-stage non-small cell lung cancer (eNSCLC)

Date

31 Mar 2023

Session

Poster Display session

Presenters

Jessica Donington

Citation

Journal of Thoracic Oncology (2023) 18 (4S): S89-S100.
<article-id>elcc_Ch02

Authors

J. Donington1, X. Hu2, S. Zhang3, Y. Song3, C. Gao3, A. Arunachalam4, D.R. Chirovsky5, A. Lerner3, A. Jiang3, J. Signorovitch3, A. Samkari6

Author affiliations

  • 1 Chicago/US
  • 2 Merck & Co., Inc. - Merck Research Laboratories, 7033 - Rahway/US
  • 3 Analysis Group, Inc., Boston/US
  • 4 Merck & Co., Inc., 07065-0900 - Rahway/US
  • 5 Merck & Co., Inc. - Merck Research Laboratories, Rahway/US
  • 6 Merck & Co., Inc., Rahway/US

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 95P

Background

This study aimed to describe neoadjuvant treatment patterns, rwEFS, OS and assess association between rwEFS and OS in resected eNSCLC.

Methods

This retrospective study used the US SEER-Medicare data (2007–2019) to select pts with newly diagnosed, resected, stage II-IIIB (N2) NSCLC (AJCC 8th edition) treated with neoadjuvant therapy. Index date was defined as neoadjuvant therapy initiation. rwEFS (time from index date to first recurrence or death, whichever first) and OS (time from index date to death) were described using Kaplan-Meier analysis and correlation was assessed using normal scores rank test. OS was compared between pts with and without recurrence by 1, 2, and 3-year landmarks after index date; hazard ratios were estimated using Cox models adjusted for key baseline factors.

Results

221 pts (156 with recurrence and 65 without) met eligibility criteria (median follow-up: 32.7 months). Selected pt characteristics are presented in the table. ∼97% received platinum-based neoadjuvant therapy and ∼49% received neoadjuvant chemoradiation. Carboplatin + paclitaxel, cisplatin + etoposide, and carboplatin + pemetrexed are most frequently used regimens. Median rwEFS was 17.6 months; median OS was 48.5 months. The normal scores rank correlation demonstrated a statistically significant correlation between rwEFS and OS (0.68; P < 0.001). Pts with recurrence by each landmark had significantly shorter OS than those without recurrence (All Ps <0.01). Adjusted Cox models indicated that pts with recurrence had 2.7–3.2 times increased risk of death (All Ps <0.05).

Table: 95P

Selected characteristics, rwEFS and OS among patients with early-stage, resected NSCLC who have received neoadjuvant therapy

Patient characteristics
Age at surgery (years), mean ± SD72.1 ± 4.9
 Male, N (%) 126 (57.0%)
 White 191 (86.4%)
 Adjuvant chemotherapy, N (%) 67 (30.3%)
 Post-operative radiotherapy, N (%) 56 (25.3%)
 rwEFS rate
 1-year 61.1%
 2-year 42.4%
 3-year 33.3%
 4-year 26.9%
 5-year 20.9%
 OS rate
 1-year 91.4%
 2-year 72.4%
 3-year 60.6%
 4-year 50.3%
 5-year 44.9%

Abbreviations: NSCLC: non-small cell lung cancer; rwEFS: real-world event-free survival; OS: overall survival; SD: standard deviation.

Conclusions

Among pts with resected eNSCLC receiving neoadjuvant therapy, poor survival outcomes were observed. rwEFS is positively and significantly associated with OS. These findings highlight the need for and importance of more effective treatments for this pt population.

Legal entity responsible for the study

The authors.

Funding

Merck and Co. Inc.

Disclosure

J. Donington: Financial Interests, Personal, Invited Speaker: AstraZeneca, Merck and Co. Inc, Bristol-Myers Squibb, Roche/Genentech; Financial Interests, Personal, Advisory Board: AstraZeneca, Merck and Co. Inc, Bristol-Myers Squibb, Roche/Genentech.

X. Hu: Financial Interests, Personal, Full or part-time Employment: Merck and Co. Inc; Financial Interests, Personal, Stocks/Shares: Merck and Co. Inc.

S. Zhang: Financial Interests, Institutional, Other, Su Zhang is an employee of Analysis Group Inc., which received research funding from Merck and Co., Inc. to conduct this study: Merck and Co.

Y. Song: Financial Interests, Institutional, Other, Yan Song is an employee of Analysis Group Inc., which received research funding from Merck and Co., Inc. to conduct this study: Merck and Co. Inc.

C. Gao: Financial Interests, Institutional, Other, Chi Gao is an employee of Analysis Group Inc., which received research funding from Merck and Co., Inc. to conduct this study: Merck and Co. Inc.

A. Arunachalam: Financial Interests, Personal, Full or part-time Employment: Merck and Co. Inc; Financial Interests, Personal, Stocks/Shares: Merck and Co. Inc.

D. Chirovsky: Financial Interests, Personal, Full or part-time Employment: Merck and Co. Inc; Financial Interests, Personal, Stocks/Shares: Merck and Co. Inc.

A. Lerner: Financial Interests, Institutional, Other, Ari is an employee of Analysis Group Inc., which received research funding from Merck and Co., Inc. to conduct this study: Merck and Co. Inc.

A. Jiang: Financial Interests, Institutional, Other, Anya is an employee of Analysis Group Inc., which received research funding from Merck and Co., Inc. to conduct this study: Merck and Co. Inc.

J. Signorovitch: Financial Interests, Institutional, Other, James Signorovitch is an employee of Analysis Group Inc., which received research funding from Merck and Co., Inc. to conduct this study: Merck and Co. Inc.

A. Samkari: Financial Interests, Personal, Full or part-time Employment: Merck and Co. Inc; Financial Interests, Personal, Stocks/Shares: Merck and Co. Inc.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.