Pancreas Adenocarcinoma Clinical Trial
Official title:
Retrospective Observational Study on Patients With Lung Metastases From Pancreatic Adenocarcinoma: Evaluation of Clinical Features and Correlation With Molecular and Radiomics Features
The aim of this study is the characterization from epidemiological, radiomics and molecular point of view of lung metastasis of patients at beginning affected by pancreatic adenocarcinoma (PDAC), which after the resection of primitive tumor have met with initial recurrence of the disease exclusively at the lung level.
Radical surgical treatment of primitive PDAC, associated with adjuvant cancer treatments, is
possible only in 15-20% of patients, and, to date, represents the best therapeutic strategy.
Nevertheless, remote recurrence is frequent after radical surgical treatment of primitive
neoplasia. Among the main locations of metastasis from PDAC, the lung represent the second
metastatic location with a better prognosis than other remote metastasis. Surgical treatment
of lung metastasis has a consolidated role in the treatment of other neoplasms such as
sarcomas, colorectal and renal neoplasms while in the context of PDAC the resection of lung
metastases is a rather rare and also debated event.
In absence of consolidated data on the results of surgical treatment and on the clinical
outcomes of patients with lung metastasis from PDAC the investigators designed this
retrospective observational study in order to analyze the clinical and pathological
characteristics of patients suffering from lung metastasis from PDAC treated at San Raffaele
Hospital in a period between 2008 and 2019. To this purpose, the investigators will analyze
and compare two patient cohorts: 1-patients in whom lung metastasis were resected for
therapeutic purposes; 2-patients in whom lung metastasis were removed for diagnostic purposes
only.
An analysis of genetic mutations and the gene expression profile of lung metastasis and
primary neoplasia will also be performed to evaluate any predictive elements of lung
metastasis and the prognostic role of these mutations.
In parallel, the investigators will perform radiomics analysis on TAC imaging at diagnosis of
lung metastasis and, if possible, of the primary tumor.
All the data necessary for the completion of the study were collected as part of the usual
outpatient visits in the appropriate outpatient medical records and include: date of birth,
date of diagnosis, gender, performance status, stage of the disease, comorbidity, concomitant
chronic therapies, level of tumor markers (CEA and Ca19.9) before treatment and variations
during therapy, type of chemotherapy, start and end date of chemotherapy, number of cycles,
possible dosage reduction of the drugs used in the various chemotherapy regimes, dates and
results of instrumental revaluations according to RECIST 1.1, main chemotherapy toxicities
and grade according to CTCAE 5.0, date and type of surgery, mutation analysis results and
last follow-up date. In the event of death, the dates of death are communicated by the
registry office of the municipality of residence of the patient, according to the official
procedure. All data will be collected in an electronic database in coded form
(pseudonymization).
Power size calculation:
All patients who meet the inclusion and exclusion criteria and who have been treated at the
Medical Oncology and Thoracic Surgery Units of the San Raffaele Hospital between 2008 and
2019 will be taken into consideration, for a total of 44 patients. To identify predictive
and/or prognostic clinical and pathological factors that can influence the outcome of these
patients, the two cohorts described above will be analyzed and compared through univariate
and multivariate analyzes. Overall survival (OS) and progression-free survival (PFS) will
also be assessed using the Kaplan Meier method and the long-rank test will be used to compare
OS and PFS between the two cohorts under study. All tests will be double-tailed and a p <0.05
will be considered significant. The ninety-five percent confidence intervals (CI) will be
calculated to assess the accuracy of the estimates obtained.
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