- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04722406
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.
Study Overview
Status
Conditions
Intervention / Treatment
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-1/PD-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 1.1 by two senior radiologists blinded to patients'information. 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 Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Shaodong Hong, MD
- Phone Number: +8615920527656
- Email: hongshd@sysucc.org.cn
Study Locations
-
-
Guangdong
-
Guangzhou, Guangdong, China, 510060
- Recruiting
- Sun Yat-Sen University Cancer Center
-
Contact:
- Shaodong Hong, MD
- Phone Number: +8615920527656
- Email: hongshd@sysucc.org.cn
-
Principal Investigator:
- Shaodong Hong, MD
-
Guangzhou, Guangdong, China, 510120
- Recruiting
- Guangdong Provincial Hospital of Traditional Chinese Medicine
-
Contact:
- Haibo Zhang, MD
- Phone Number: +8613724123615
- Email: haibozh@gzucm.edu.cn
-
-
Shanghai
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Shanghai, Shanghai, China, 200030
- Recruiting
- Shaihai Chest Hospital
-
Contact:
- Xiaomin Niu, MD, PhD
- Phone Number: +8613917040510
- Email: ar_tey@hotmail.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- 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)
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Retrospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Low TGR group
Patients with low level of TGR determined by X-tile program
|
This item is not applicable to our observational study.
|
High TGR group
Patients with high level of TGR determined by X-tile program
|
This item is not applicable to our observational study.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Overall survival of patients undergoing ICI monotherapy
Time Frame: From date of ICI treatment initiation until the date of death from any causes, assessed up to 100 months.
|
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 Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Progression-free survival of patients undergoing ICI monotherapy.
Time Frame: 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.
|
Progression-free survival was calculated from ICI initiation to radiologically-defined progression or death from any causes.
|
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.
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Shaodong Hong, MD, Sun Yat-sen University
Publications and helpful links
General Publications
- Antonia SJ, Borghaei H, Ramalingam SS, Horn L, De Castro Carpeño J, Pluzanski A, Burgio MA, Garassino M, Chow LQM, Gettinger S, Crinò 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.
- Xia 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. Review.
- Mok 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.
- Gettinger 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.
- Ferté 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.
- Lamarca 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.
- Stein WD, Wilkerson J, Kim ST, Huang X, Motzer RJ, Fojo AT, Bates SE. Analyzing the pivotal trial that compared sunitinib and IFN-α 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.
- Gomez-Roca C, Koscielny S, Ribrag V, Dromain C, Marzouk I, Bidault F, Bahleda R, Ferté 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.
- Camp 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- SHong
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- Study Protocol
- Clinical Study Report (CSR)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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