Ignite Creation Date:
2024-05-06 @ 3:41 PM
Last Modification Date:
2024-10-26 @ 1:54 PM
Study NCT ID:
NCT04722406
Status:
UNKNOWN
Last Update Posted:
2021-03-17
First Post:
2021-01-18
Brief Title:
Tumor Growth Rate TGR Predicts Clinical Outcomes for Advanced Non-small Cell Lung Cancer Undergoing Immunotherapy
Sponsor:
Sun Yat-sen University
Organization:
Sun Yat-sen University
Study Overview
Official Title:
Tumor Growth Rate TGR as an Early Predictor of Clinical Outcomes in Advanced Non-small Cell Lung Cancer Treated With PD-1 Axis Inhibitors
Status:
UNKNOWN
Status Verified Date:
2021-03
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
We hypothesized that TGR could serve as an early predictor of outcomes for aNSCLC patients undergoing immune checkpoint inhibitors ICIs A retrospective analysis was conducted to investigate the association of TGR with response and long-term survival of aNSCLC patients undergoing ICI therapy
Detailed Description:
Tumor growth rate TGR signifies percentage change in tumor size per month m Electronic medical records were retrospectively reviewed for all histologically confirmed aNSCLC patients undergoing anti-PD-1PD-L1 therapy at Sun Yat-Sen University Cancer Center SYSUCC between August 2016 and June 2018
All response and outcome evaluation were determined as per RECIST 11 by two senior radiologists blinded to patientsinformation Discrepancy was solved by consensus
X-tile software was used to determine cut-off values that maximumly differentiate overall survival OS Log-rank tests and Cox regression models were performed for survival analysis The predictive value of TGR for clinical outcomes in ICI-treated aNSCLC patients was validated in two external cohorts recruited form Guangdong Province Traditional Chinese Medical Hospital and Shanghai Chest Hospital
All response and outcome evaluation were determined as per RECIST 11 by two senior radiologists blinded to patientsinformation Discrepancy was solved by consensus
X-tile software was used to determine cut-off values that maximumly differentiate overall survival OS Log-rank tests and Cox regression models were performed for survival analysis The predictive value of TGR for clinical outcomes in ICI-treated aNSCLC patients was validated in two external cohorts recruited form Guangdong Province Traditional Chinese Medical Hospital and Shanghai Chest Hospital
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None