Pathological and Nuclear Medicine Factors for Prognosis in Lung Carcinoma
PANU
Relationship Between Histopathological Features, Mutation Status, 18F-FDG PET/CT Radiomic Imaging Parameters as Well as Clinical Outcome in Patients With Treatment-naïve Non-small Cell Lung Cancer
1 other identifier
observational
2,000
0 countries
N/A
Brief Summary
Retrospective study in patients with therapy-naive non small cell lung carcinoma correlating presurgical F18-FDG-PET/CT imaging texture analysis data with postsurgical molecular pathology data and clinical patient outcome. Main aim is to identify pretherapeutic prognostic factors.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2016
Typical duration for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2020
CompletedFirst Submitted
Initial submission to the registry
February 14, 2020
CompletedFirst Posted
Study publicly available on registry
February 19, 2020
CompletedFebruary 19, 2020
February 1, 2020
3.5 years
February 14, 2020
February 18, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Progression free survival
Time to progression (RECIST) based on routine clinical CT imaging on a quarterly base
through study completion an average of 3 years after initial inclusion
Overall survival
Time to death based on clinical records
through study completion an average of 3 years after initial inclusion
Study Arms (3)
German cohort Bayreuth
Retrospective analysis of clinical routine F18-FDG-PET/CT, molecular pathology and clinical outcome data.
German cohort Hof
Retrospective analysis of clinical routine F18-FDG-PET/CT, molecular pathology and clinical outcome data.
Chinese cohort Beijing
Retrospective analysis of clinical routine F18-FDG-PET/CT, molecular pathology and clinical outcome data.
Interventions
Retrospective analysis of clinical routine F18-FDG-PET/CT, molecular pathology and clinical outcome data.
Eligibility Criteria
German and chinese NSCLC patients who have received presurgical F18-FDG-PET/CT imaging followed by surgical removal of the primary lung tumor with postsurgical molecular pathology evaluation.
You may qualify if:
- Retrospective selection of both German cohort NSCLC patients with concomitant gene mutation results, CTCs accounting results and 18F-FDG PET/CT imaging data before lung tumor surgery (both German patient cohorts)
- Retrsopective selection of Chinese NSCLC patients with concomitant gene mutation results, CTCs accounting results and 18F-FDG PET/CT imaging data before lung tumor surgery (Chinese patient collective)
You may not qualify if:
- NSCLC patients with surgical resection of the target/primary tumor before 18F-FDG PET/CT scanning.
- NSCLC patients with elevated blood glucose levels (\> 150 mg/dl) immediately before 18F-FDG injection.
- based on PET CT scanning no concomitant malignancies
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Klinikum Bayreuth GmbHlead
- Peking University Cancer Hospital & Institutecollaborator
- Sana Klinikum Hofcollaborator
Related Publications (27)
Zhu QG, Zhang SM, Ding XX, He B, Zhang HQ. Driver genes in non-small cell lung cancer: Characteristics, detection methods, and targeted therapies. Oncotarget. 2017 Apr 10;8(34):57680-57692. doi: 10.18632/oncotarget.17016. eCollection 2017 Aug 22.
PMID: 28915704BACKGROUNDO'Flaherty L, Wikman H, Pantel K. Biology and clinical significance of circulating tumor cell subpopulations in lung cancer. Transl Lung Cancer Res. 2017 Aug;6(4):431-443. doi: 10.21037/tlcr.2017.07.03.
PMID: 28904887BACKGROUNDSollini M, Cozzi L, Antunovic L, Chiti A, Kirienko M. PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology. Sci Rep. 2017 Mar 23;7(1):358. doi: 10.1038/s41598-017-00426-y.
PMID: 28336974BACKGROUNDVillalobos P, Wistuba II. Lung Cancer Biomarkers. Hematol Oncol Clin North Am. 2017 Feb;31(1):13-29. doi: 10.1016/j.hoc.2016.08.006.
PMID: 27912828BACKGROUNDKhalil FK, Altiok S. Advances in EGFR as a Predictive Marker in Lung Adenocarcinoma. Cancer Control. 2015 Apr;22(2):193-9. doi: 10.1177/107327481502200210.
PMID: 26068764BACKGROUNDSholl LM. Biomarkers in lung adenocarcinoma: a decade of progress. Arch Pathol Lab Med. 2015 Apr;139(4):469-80. doi: 10.5858/arpa.2014-0128-RA. Epub 2014 Sep 25.
PMID: 25255293BACKGROUNDSharma SV, Bell DW, Settleman J, Haber DA. Epidermal growth factor receptor mutations in lung cancer. Nat Rev Cancer. 2007 Mar;7(3):169-81. doi: 10.1038/nrc2088.
PMID: 17318210BACKGROUNDCardarella S, Ogino A, Nishino M, Butaney M, Shen J, Lydon C, Yeap BY, Sholl LM, Johnson BE, Janne PA. Clinical, pathologic, and biologic features associated with BRAF mutations in non-small cell lung cancer. Clin Cancer Res. 2013 Aug 15;19(16):4532-40. doi: 10.1158/1078-0432.CCR-13-0657. Epub 2013 Jul 5.
PMID: 23833300BACKGROUNDPaik PK, Arcila ME, Fara M, Sima CS, Miller VA, Kris MG, Ladanyi M, Riely GJ. Clinical characteristics of patients with lung adenocarcinomas harboring BRAF mutations. J Clin Oncol. 2011 May 20;29(15):2046-51. doi: 10.1200/JCO.2010.33.1280. Epub 2011 Apr 11.
PMID: 21483012BACKGROUNDZhao Z, Verma V, Zhang M. Anaplastic lymphoma kinase: Role in cancer and therapy perspective. Cancer Biol Ther. 2015;16(12):1691-701. doi: 10.1080/15384047.2015.1095407.
PMID: 26529396BACKGROUNDFujimoto J, Wistuba II. Current concepts on the molecular pathology of non-small cell lung carcinoma. Semin Diagn Pathol. 2014 Jul;31(4):306-13. doi: 10.1053/j.semdp.2014.06.008. Epub 2014 Jun 12.
PMID: 25239274BACKGROUNDChatziandreou I, Tsioli P, Sakellariou S, Mourkioti I, Giannopoulou I, Levidou G, Korkolopoulou P, Patsouris E, Saetta AA. Comprehensive Molecular Analysis of NSCLC; Clinicopathological Associations. PLoS One. 2015 Jul 24;10(7):e0133859. doi: 10.1371/journal.pone.0133859. eCollection 2015.
PMID: 26208325BACKGROUNDYoshida A, Kohno T, Tsuta K, Wakai S, Arai Y, Shimada Y, Asamura H, Furuta K, Shibata T, Tsuda H. ROS1-rearranged lung cancer: a clinicopathologic and molecular study of 15 surgical cases. Am J Surg Pathol. 2013 Apr;37(4):554-62. doi: 10.1097/PAS.0b013e3182758fe6.
PMID: 23426121BACKGROUNDIntlekofer AM, Thompson CB. At the bench: preclinical rationale for CTLA-4 and PD-1 blockade as cancer immunotherapy. J Leukoc Biol. 2013 Jul;94(1):25-39. doi: 10.1189/jlb.1212621. Epub 2013 Apr 26.
PMID: 23625198BACKGROUNDZou W, Wolchok JD, Chen L. PD-L1 (B7-H1) and PD-1 pathway blockade for cancer therapy: Mechanisms, response biomarkers, and combinations. Sci Transl Med. 2016 Mar 2;8(328):328rv4. doi: 10.1126/scitranslmed.aad7118.
PMID: 26936508BACKGROUNDAmeratunga M, Asadi K, Lin X, Walkiewicz M, Murone C, Knight S, Mitchell P, Boutros P, John T. PD-L1 and Tumor Infiltrating Lymphocytes as Prognostic Markers in Resected NSCLC. PLoS One. 2016 Apr 22;11(4):e0153954. doi: 10.1371/journal.pone.0153954. eCollection 2016.
PMID: 27104612BACKGROUNDMa W, Gilligan BM, Yuan J, Li T. Current status and perspectives in translational biomarker research for PD-1/PD-L1 immune checkpoint blockade therapy. J Hematol Oncol. 2016 May 27;9(1):47. doi: 10.1186/s13045-016-0277-y.
PMID: 27234522BACKGROUNDZhang M, Li G, Wang Y, Wang Y, Zhao S, Haihong P, Zhao H, Wang Y. PD-L1 expression in lung cancer and its correlation with driver mutations: a meta-analysis. Sci Rep. 2017 Aug 31;7(1):10255. doi: 10.1038/s41598-017-10925-7.
PMID: 28860576BACKGROUNDPan ZK, Ye F, Wu X, An HX, Wu JX. Clinicopathological and prognostic significance of programmed cell death ligand1 (PD-L1) expression in patients with non-small cell lung cancer: a meta-analysis. J Thorac Dis. 2015 Mar;7(3):462-70. doi: 10.3978/j.issn.2072-1439.2015.02.13.
PMID: 25922726BACKGROUNDZhong A, Xing Y, Pan X, Shi M, Xu H. Prognostic value of programmed cell death-ligand 1 expression in patients with non-small-cell lung cancer: evidence from an updated meta-analysis. Onco Targets Ther. 2015 Dec 1;8:3595-601. doi: 10.2147/OTT.S91469. eCollection 2015.
PMID: 26664143BACKGROUNDvan Helden EJ, Vacher YJL, van Wieringen WN, van Velden FHP, Verheul HMW, Hoekstra OS, Boellaard R, Menke-van der Houven van Oordt CW. Radiomics analysis of pre-treatment [18F]FDG PET/CT for patients with metastatic colorectal cancer undergoing palliative systemic treatment. Eur J Nucl Med Mol Imaging. 2018 Dec;45(13):2307-2317. doi: 10.1007/s00259-018-4100-6. Epub 2018 Aug 9.
PMID: 30094460BACKGROUNDCook GJR, Azad G, Owczarczyk K, Siddique M, Goh V. Challenges and Promises of PET Radiomics. Int J Radiat Oncol Biol Phys. 2018 Nov 15;102(4):1083-1089. doi: 10.1016/j.ijrobp.2017.12.268. Epub 2018 Jan 31.
PMID: 29395627BACKGROUNDChicklore S, Goh V, Siddique M, Roy A, Marsden PK, Cook GJ. Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. Eur J Nucl Med Mol Imaging. 2013 Jan;40(1):133-40. doi: 10.1007/s00259-012-2247-0. Epub 2012 Oct 13.
PMID: 23064544BACKGROUNDPyka T, Gempt J, Hiob D, Ringel F, Schlegel J, Bette S, Wester HJ, Meyer B, Forster S. Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomas. Eur J Nucl Med Mol Imaging. 2016 Jan;43(1):133-141. doi: 10.1007/s00259-015-3140-4. Epub 2015 Jul 29.
PMID: 26219871BACKGROUNDNioche C, Orlhac F, Boughdad S, Reuze S, Goya-Outi J, Robert C, Pellot-Barakat C, Soussan M, Frouin F, Buvat I. LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity. Cancer Res. 2018 Aug 15;78(16):4786-4789. doi: 10.1158/0008-5472.CAN-18-0125. Epub 2018 Jun 29.
PMID: 29959149BACKGROUNDOrlhac F, Soussan M, Maisonobe JA, Garcia CA, Vanderlinden B, Buvat I. Tumor texture analysis in 18F-FDG PET: relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis. J Nucl Med. 2014 Mar;55(3):414-22. doi: 10.2967/jnumed.113.129858. Epub 2014 Feb 18.
PMID: 24549286BACKGROUNDPyka T, Bundschuh RA, Andratschke N, Mayer B, Specht HM, Papp L, Zsoter N, Essler M. Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy. Radiat Oncol. 2015 Apr 22;10:100. doi: 10.1186/s13014-015-0407-7.
PMID: 25900186RESULT
Biospecimen
Material from routine diagnosis. No additional material taken from the present study.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 14, 2020
First Posted
February 19, 2020
Study Start
July 1, 2016
Primary Completion
January 1, 2020
Study Completion
January 1, 2020
Last Updated
February 19, 2020
Record last verified: 2020-02
Data Sharing
- IPD Sharing
- Will not share