MedPath

IASLC Grading System as a Predictor for EGFR-TKI Therapy

Completed
Conditions
Lung Cancer
Registration Number
NCT06131645
Lead Sponsor
Fudan University
Brief Summary

The investigators previously validated the grading system proposed by International Association for the Study of Lung Cancer (IASLC) for invasive nonmucinous lung adenocarcinoma (LADC) for its reproducibility, prognostication function and predictive value of adjuvant chemotherapy (ACT). In this exploratory study, the investigators aimed to investigate the role of IASLC grading system in EGFR tyrosine kinase inhibitor (TKI) therapy selection either as adjuvant or palliative therapy.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
2160
Inclusion Criteria
  • invasive lung adenocarcinoma patients who underwent complete resection with positive EGFR mutations in exons 18-21.
Exclusion Criteria
  • adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), invasive mucinous adenocarcinoma and other variants of adenocarcinoma
  • patients with pathologic slides unavailable for re-evaluation

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Progression-free survival5 years

PFS was defined as time from initiation of systemic palliative treatment to date of disease progression or death for 1L treatment of each patient and the initiation time was re-assigned additionally for each drug applied during the treatment history of the patients regardless of line of therapy (all lines)

Disease-free survival5 years

DFS was defined as time from initiation of surgery to date of first event (recurrence or death)

Secondary Outcome Measures
NameTimeMethod
Overall survival5 years

was defined as time from surgery to date of death resulting from any cause in ADJUVANT subgroup and from 1L systemic palliative treatment assignment to date of death resulting from any cause in RECURRENCE subgroup.

Trial Locations

Locations (1)

Chaoqiang Deng

🇨🇳

Shanghai, Please Select, China

© Copyright 2025. All Rights Reserved by MedPath