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Trial Title:
MONDRIAN: Multi-omics Integrative Modelling for Stereotactic Body Radiotherapy in Early-stage Non-small Cell Lung Cancer
NCT ID:
NCT05974475
Condition:
Lung Neoplasm Malignant
Conditions: Official terms:
Lung Neoplasms
Carcinoma, Non-Small-Cell Lung
Neoplasms
Conditions: Keywords:
Early stage non-small cell lung cancer
Stereotactic body radiotherapy (SBRT)
Radiosensitivity
Radioresistance
Multi-omics
Radiomics
Genomics
Proteomics
Outcome modeling
Study type:
Observational [Patient Registry]
Overall status:
Recruiting
Study design:
Time perspective:
Prospective
Intervention:
Intervention type:
Radiation
Intervention name:
SBRT
Description:
State-of-art SBRT will be delivered in 3-5 fractions; prescription doses and
fractionation schedules will be defined according to patient- and tumor-related
characteristics (e.g. pulmonary comorbidities, tumor location: peripheral vs central vs
ultra-central).
Arm group label:
SBRT Cohort
Other name:
Stereotactic body radiotherapy
Other name:
Stereotactic Ablative Radiotherapy (SABR)
Intervention type:
Procedure
Intervention name:
Surgery
Description:
State-of-art surgery will be consist in pulmonary anatomical resection (i.e.
segmentectomy or lobectomy) and systematic lymph node dissection.
Arm group label:
Surgery Cohort
Summary:
Stereotactic Body Radiotherapy (SBRT) is a form of high-precision radiotherapy playing a
major role in patients diagnosed with early-stage non-small cell lung cancer (NSLCL),
especially when surgery cannot be performed. It is a non-invasive, well-tolerated
treatment, with an excellent ability to control disease recurrence. However, in some
patients, disease response is suboptimal: understanding why this happens may open doors
to more aggressive approaches, such as the combination with systemic therapies.
Hence, the goal of this observational trial is to understand which clinical, imaging, and
biological factors are associated with response to SBRT through the development of
complex models. In other words, the main question it aims to answer is: "Will this
patient respond to radiation treatment based on the characteristics of their disease?".
Participants will be treated according to the best clinical practice standards, in
agreement with international, national, and internal guidelines.
Researchers will compare data collected from patients treated with SBRT with those
collected from a similar group of patients, who will be treated with surgery, to see
which factors are actual predictors of response to SBRT, or rather are indicators of more
or less aggressive disease behavior.
Detailed description:
The overall planned duration of the study is 60 months.
The project is structured into five main tasks, as following:
- Task 1_Clinical study: Routine clinical data will be collected from eligible
patients, including demographics, disease and treatment characteristics, pulmonary
function, and blood count parameters.
- Task 2_Radiomics study: Quantitative imaging analysis will be performed on both
diagnostic computed tomographies (CTs) and positron emission tomographies (PETs). A
software compliant with the Imaging Biomarker Standardization Initiative (IBSI) will
be used to extract radiomic features at baseline and at the first clinical
progression (or at the last available follow-up, whichever comes first). Clinically
established qualitative and semiquantitative metrics (e.g. pleural effusion in CT
images and standardized uptake value in PET images) will be retrieved, as well.
- Task 3_Gene expression study: Gene expression profiling will be performed at
baseline in both cohorts to investigate the presence of a prognostic pretreatment
signature. The analysis will be performed on formalin-fixed paraffin-embedded (FFPE)
tissue samples (namely, resected tumor in the surgical cohort and bioptic sample-
whenever available- in the SBRT group). A next-generation sequencing (NGS)-based
assay which targets 395 immune-related genes and named as Oncomine⢠Immune Response
Research Assay, will be employed.
- Task 4_Proteomics study: Proteomics will integrate the study of RNA expression
performed in Task 3. As in Task 3, the analysis will be performed on FFPE samples,
from both patients' cohorts.
- Task 5_Integrative model building: Integration of all previous features in a unique
classification model able to determine a precise estimate of individuals with high
vs low risk of disease progression and, at the same time, identify relevant
predictive factors. The proposed classification model will integrate data from
different sources using a multi-layer deep neural network. Federated learning
techniques will also be used to reduce the bias due to the choice of a specific
trial or data source.
Criteria for eligibility:
Study pop:
Tertiary care cancer center, early-stage NSCLC.
Sampling method:
Non-Probability Sample
Criteria:
Inclusion Criteria:
- Histologically proven NSCLC; all histologies will be considered eligible (e.g.
squamous, adenocarcinoma, large cell carcinoma);
- American Joint Committee on Cancer Tumor Node Metastasis (AJCC TNM) classification
(8th Edition) clinical stage I-II;
- Eastern Cooperative Oncology Group (ECOG) performance status 0-1;
- No absolute contraindications to either surgery (e.g. severe comorbidities) or SBRT
(e.g. active connective diseases, severe pulmonary fibrosis);
- Ability and willingness to sign a written informed consent for treatment and study
participation.
Exclusion Criteria:
- Prior diagnosis of invasive cancer (within 3 years before the diagnosis of
ES-NSCLC);
- Mental diseases or psychiatric disorders preventing the acquisition of a valid
informed consent.
Gender:
All
Minimum age:
18 Years
Maximum age:
N/A
Healthy volunteers:
No
Locations:
Facility:
Name:
Istituto Europeo di Oncologia (IEO) IRCCS
Address:
City:
Milan
Zip:
20141
Country:
Italy
Status:
Recruiting
Contact:
Last name:
Stefania Volpe, MD
Email:
stefania.volpe@ieo.it
Contact backup:
Last name:
Cristiana I Fodor, MSc
Email:
cristiana.fodor@ieo.it
Facility:
Name:
Istituto Europeo di Oncologia IRCCS
Address:
City:
Milano
Zip:
20141
Country:
Italy
Status:
Recruiting
Contact:
Last name:
Stefania Volpe, MD
Phone:
+390257489037
Email:
stefania.volpe@ieo.it
Start date:
September 11, 2023
Completion date:
September 2028
Lead sponsor:
Agency:
European Institute of Oncology
Agency class:
Other
Collaborator:
Agency:
Associazione Italiana per la Ricerca sul Cancro
Agency class:
Other
Source:
European Institute of Oncology
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT05974475