Role of FDG PET, Immune and Hypoxic Marker in NSCLC
FDG-PET, Marker Immunologici ed Ipossici in Pazienti Affetti da Carcinoma Polmonare Non a Piccole Cellule in Stadio I-III Sottoposti a Chirurgia Radicale
1 other identifier
observational
130
1 country
1
Brief Summary
This is a retrospective study that involves the revision of clinical, instrumental and pathologic data of an estimated cohort of maximum 130 patients with NSCLC treated with surgery with radical intent at our center.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Dec 2014
Longer than P75 for all trials
1 active site
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
December 1, 2014
CompletedFirst Submitted
Initial submission to the registry
June 26, 2015
CompletedFirst Posted
Study publicly available on registry
August 10, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2018
CompletedOctober 1, 2020
September 1, 2020
4 years
June 26, 2015
September 29, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Correlation of SUVmax (Maximal Standardized Uptake Value) in patients with non-small cell lung cancer undergoing surgery with hypoxia expression and tumor immune cell infiltration.
Baseline SUVmax up to 1 month before surgery.
Interventions
This is a retrospective study
Eligibility Criteria
We will recruit a maximum number of 130 NSCLC patients operated radically (stage I-III) at our institution during 2010-2014, of which are available clinical and instrumental data and surgical tumor specimen.
You may qualify if:
- Diagnosis of NSCLC (Stage I-III)
- FDG PET before surgery
You may not qualify if:
- Absence of tumor specimen
- No clinical data
- FDG-PET can not be evaluated
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Istituto Clinico Humanitas
Rozzano, Milano, 20089, Italy
Related Publications (7)
Lopci E, Grassi I, Chiti A, Nanni C, Cicoria G, Toschi L, Fonti C, Lodi F, Mattioli S, Fanti S. PET radiopharmaceuticals for imaging of tumor hypoxia: a review of the evidence. Am J Nucl Med Mol Imaging. 2014 Jun 7;4(4):365-84. eCollection 2014.
PMID: 24982822BACKGROUNDSaintigny P, Burger JA. Recent advances in non-small cell lung cancer biology and clinical management. Discov Med. 2012 Apr;13(71):287-97.
PMID: 22541616BACKGROUNDVaupel P, Mayer A. Hypoxia in cancer: significance and impact on clinical outcome. Cancer Metastasis Rev. 2007 Jun;26(2):225-39. doi: 10.1007/s10555-007-9055-1.
PMID: 17440684BACKGROUNDLopci E, Toschi L, Grizzi F, Rahal D, Olivari L, Castino GF, Marchetti S, Cortese N, Qehajaj D, Pistillo D, Alloisio M, Roncalli M, Allavena P, Santoro A, Marchesi F, Chiti A. Correlation of metabolic information on FDG-PET with tissue expression of immune markers in patients with non-small cell lung cancer (NSCLC) who are candidates for upfront surgery. Eur J Nucl Med Mol Imaging. 2016 Oct;43(11):1954-61. doi: 10.1007/s00259-016-3425-2. Epub 2016 Jun 1.
PMID: 27251642BACKGROUNDCastello A, Grizzi F, Toschi L, Rossi S, Rahal D, Marchesi F, Russo C, Finocchiaro G, Lopci E. Tumor heterogeneity, hypoxia, and immune markers in surgically resected non-small-cell lung cancer. Nucl Med Commun. 2018 Jul;39(7):636-644. doi: 10.1097/MNM.0000000000000832.
PMID: 29608508BACKGROUNDGrizzi F, Castello A, Qehajaj D, Toschi L, Rossi S, Pistillo D, Paleari V, Veronesi G, Novellis P, Monterisi S, Mineri R, Rahal D, Lopci E. Independent expression of circulating and tissue levels of PD-L1: correlation of clusters with tumor metabolism and outcome in patients with non-small cell lung cancer. Cancer Immunol Immunother. 2019 Sep;68(9):1537-1545. doi: 10.1007/s00262-019-02387-9. Epub 2019 Sep 3.
PMID: 31482306BACKGROUNDGrizzi F, Castello A, Qehajaj D, Russo C, Lopci E. The Complexity and Fractal Geometry of Nuclear Medicine Images. Mol Imaging Biol. 2019 Jun;21(3):401-409. doi: 10.1007/s11307-018-1236-5.
PMID: 30003453BACKGROUND
Biospecimen
Tumor surgical specimen
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Egesta Lopci, MD
Humanitas Clinical and Research Hospital
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 26, 2015
First Posted
August 10, 2015
Study Start
December 1, 2014
Primary Completion
December 1, 2018
Study Completion
December 1, 2018
Last Updated
October 1, 2020
Record last verified: 2020-09