Tumor Growth Rate (TGR) Predicts Clinical Outcomes for Advanced Non-small Cell Lung Cancer Undergoing Immunotherapy.
Tumor Growth Rate (TGR) as an Early Predictor of Clinical Outcomes in Advanced Non-small Cell Lung Cancer Treated With PD-1 Axis Inhibitors.
1 other identifier
observational
350
1 country
3
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Aug 2019
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 15, 2019
CompletedFirst Submitted
Initial submission to the registry
January 18, 2021
CompletedFirst Posted
Study publicly available on registry
January 25, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2021
CompletedMarch 17, 2021
March 1, 2021
1.9 years
January 18, 2021
March 15, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Overall survival of patients undergoing ICI monotherapy
Overall survival (OS) was defined as the time from immunotherapy initiation to death from any causes.
From date of ICI treatment initiation until the date of death from any causes, assessed up to 100 months.
Secondary Outcomes (1)
Progression-free survival of patients undergoing ICI monotherapy.
From date of ICI treatment initiation until the date of first documented progression or date of death from any causes, whichever came first, assessed up to 100 months.
Study Arms (2)
Low TGR group
Patients with low level of TGR determined by X-tile program
High TGR group
Patients with high level of TGR determined by X-tile program
Interventions
This item is not applicable to our observational study.
Eligibility Criteria
All histologically confirmed aNSCLC patients undergoing anti-PD-1/PD-L1 therapy (N = 172) at Sun Yat-Sen University Cancer Center (SYSUCC) between August 2016 and June 2018.
You may qualify if:
- Histologically confirmed aNSCLC patients
- Having received anti-PD-1/PD-L1 therapy
- Must have two consecutive computed tomography (CT) scans upon early treatment (from baseline to the first imaging evaluation)
You may not qualify if:
- Lacking available computed tomography (CT) evaluation at any of two time points-baseline and the first evaluation
- Without measurable lesions at baseline CT scan
- Having received local anticancer therapy during ICI treatment, for example, radiotherapy and radiofrequency ablation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Sun Yat-sen Universitylead
- Guangdong Provincial Hospital of Traditional Chinese Medicinecollaborator
- Shanghai Chest Hospitalcollaborator
Study Sites (3)
Sun Yat-sen University Cancer Center
Guangzhou, Guangdong, 510060, China
Guangdong Provincial Hospital of Traditional Chinese Medicine
Guangzhou, Guangdong, 510120, China
Shaihai Chest Hospital
Shanghai, Shanghai Municipality, 200030, China
Related Publications (10)
Antonia SJ, Borghaei H, Ramalingam SS, Horn L, De Castro Carpeno J, Pluzanski A, Burgio MA, Garassino M, Chow LQM, Gettinger S, Crino L, Planchard D, Butts C, Drilon A, Wojcik-Tomaszewska J, Otterson GA, Agrawal S, Li A, Penrod JR, Brahmer J. Four-year survival with nivolumab in patients with previously treated advanced non-small-cell lung cancer: a pooled analysis. Lancet Oncol. 2019 Oct;20(10):1395-1408. doi: 10.1016/S1470-2045(19)30407-3. Epub 2019 Aug 14.
PMID: 31422028BACKGROUNDXia L, Liu Y, Wang Y. PD-1/PD-L1 Blockade Therapy in Advanced Non-Small-Cell Lung Cancer: Current Status and Future Directions. Oncologist. 2019 Feb;24(Suppl 1):S31-S41. doi: 10.1634/theoncologist.2019-IO-S1-s05.
PMID: 30819829BACKGROUNDMok TSK, Wu YL, Kudaba I, Kowalski DM, Cho BC, Turna HZ, Castro G Jr, Srimuninnimit V, Laktionov KK, Bondarenko I, Kubota K, Lubiniecki GM, Zhang J, Kush D, Lopes G; KEYNOTE-042 Investigators. Pembrolizumab versus chemotherapy for previously untreated, PD-L1-expressing, locally advanced or metastatic non-small-cell lung cancer (KEYNOTE-042): a randomised, open-label, controlled, phase 3 trial. Lancet. 2019 May 4;393(10183):1819-1830. doi: 10.1016/S0140-6736(18)32409-7. Epub 2019 Apr 4.
PMID: 30955977BACKGROUNDGettinger S, Horn L, Jackman D, Spigel D, Antonia S, Hellmann M, Powderly J, Heist R, Sequist LV, Smith DC, Leming P, Geese WJ, Yoon D, Li A, Brahmer J. Five-Year Follow-Up of Nivolumab in Previously Treated Advanced Non-Small-Cell Lung Cancer: Results From the CA209-003 Study. J Clin Oncol. 2018 Jun 10;36(17):1675-1684. doi: 10.1200/JCO.2017.77.0412. Epub 2018 Mar 23.
PMID: 29570421BACKGROUNDFerte C, Fernandez M, Hollebecque A, Koscielny S, Levy A, Massard C, Balheda R, Bot B, Gomez-Roca C, Dromain C, Ammari S, Soria JC. Tumor growth rate is an early indicator of antitumor drug activity in phase I clinical trials. Clin Cancer Res. 2014 Jan 1;20(1):246-52. doi: 10.1158/1078-0432.CCR-13-2098. Epub 2013 Nov 15.
PMID: 24240109BACKGROUNDLamarca A, Crona J, Ronot M, Opalinska M, Lopez Lopez C, Pezzutti D, Najran P, Carvhalo L, Franca Bezerra RO, Borg P, Vietti Violi N, Vidal Trueba H, de Mestier L, Schaefer N, Sundin A, Costa F, Pavel M, Dromain C; Knowledge Network. Value of Tumor Growth Rate (TGR) as an Early Biomarker Predictor of Patients' Outcome in Neuroendocrine Tumors (NET)-The GREPONET Study. Oncologist. 2019 Nov;24(11):e1082-e1090. doi: 10.1634/theoncologist.2018-0672. Epub 2019 Mar 25.
PMID: 30910869BACKGROUNDStein WD, Wilkerson J, Kim ST, Huang X, Motzer RJ, Fojo AT, Bates SE. Analyzing the pivotal trial that compared sunitinib and IFN-alpha in renal cell carcinoma, using a method that assesses tumor regression and growth. Clin Cancer Res. 2012 Apr 15;18(8):2374-81. doi: 10.1158/1078-0432.CCR-11-2275. Epub 2012 Feb 17.
PMID: 22344231BACKGROUNDGomez-Roca C, Koscielny S, Ribrag V, Dromain C, Marzouk I, Bidault F, Bahleda R, Ferte C, Massard C, Soria JC. Tumour growth rates and RECIST criteria in early drug development. Eur J Cancer. 2011 Nov;47(17):2512-6. doi: 10.1016/j.ejca.2011.06.012. Epub 2011 Jul 15.
PMID: 21763126BACKGROUNDCamp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004 Nov 1;10(21):7252-9. doi: 10.1158/1078-0432.CCR-04-0713.
PMID: 15534099BACKGROUNDHe LN, Fu S, Ma H, Chen C, Zhang X, Li H, Du W, Chen T, Jiang Y, Wang Y, Wang Y, Zhou Y, Lin Z, Yang Y, Huang Y, Zhao H, Fang W, Zhang H, Zhang L, Hong S. Early on-treatment tumor growth rate (EOT-TGR) determines treatment outcomes of advanced non-small-cell lung cancer patients treated with programmed cell death protein 1 axis inhibitor. ESMO Open. 2022 Dec;7(6):100630. doi: 10.1016/j.esmoop.2022.100630. Epub 2022 Nov 25.
PMID: 36442353DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Shaodong Hong, MD
Sun Yat-sen University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Deputy Chief Physician, MD
Study Record Dates
First Submitted
January 18, 2021
First Posted
January 25, 2021
Study Start
August 15, 2019
Primary Completion
July 1, 2021
Study Completion
August 1, 2021
Last Updated
March 17, 2021
Record last verified: 2021-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, CSR
- Time Frame
- The IPD and any additional supporting information will become available 3 months after publication.
- Access Criteria
- data can be obtained from the principal investigator by e-mail upon reasonable request.
Data including demographic characteristics, clinical information, radiological and follow-up information will be shared.