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Evaluation of NETs in Patients With Solid Cancers Associated With a High Risk of Venous Thromboembolic Events

ABSTRACT: Venous Thromboembolic Events (ETVs) are the second leading cause of death (9.2% of causes of death) in cancer patients after tumor progression (1). Indeed, cancer is associated with a 4 to 7-fold risk of ETV during chemotherapy (2). This complication is observed in 20% of cancer patients (3), and is sometimes an inaugural manifestation of cancer. This risk is particularly increased during the first 3 months after cancer diagnosis (4). A biomarker correlated with the occurrence of ETVs would make it possible to target patients at high risk of thrombosis who could benefit from primary thromboprophylaxis, thus avoiding the complications, particularly haemorrhagic, and the additional costs associated with the long-term diagnostic and therapeutic management of ETVs. The investigator has implemented in the laboratory an innovative approach to the detection and quantification of circulating NETs by flow cytometry (FCM) allowing the routine determination of NETs. Therefore the investigator propose to assess NETs by CMF in a cohort of cancer patients with a very high risk of ETVs (pancreatic cancer, gastric cancer and colon cancer).

DISEASE(S): Gastric Cancer,Colorectal Cancer,Pancreatic Cancer,Thromboembolism

PROVIDER: 2332029 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:Background and Aims: Staging inadequately predicts metastatic risk in colon cancer patients. We used a gene expression profile derived from invasive murine colon cancer cells that were highly metastatic in an immunocompetent mouse model to identify colon cancer patients at risk for recurrence in a phase I, exploratory biomarker study. Methods: 55 colorectal cancer patients from Vanderbilt Medical Center (VMC) were used as the training dataset and 177 patients from the Moffitt Cancer Center were used as the independent dataset. The metastasis-associated gene expression profile developed from the mouse model was refined using comparative functional genomics in the VMC gene expression profiles to identify a 34-gene classifier associated with high risk of metastasis and death from colon cancer. A recurrence score derived from the biologically based classifier was tested in the Moffitt dataset. Results: A high score was significantly associated with increased risk of metastasis and death from colon cancer across all pathological stages and specifically in stage II and stage III patients. The recurrence score was shown to independently predict risk of cancer recurrence and death in both univariate and multivariate models. For example, among stage III patients, a high score translated to increased relative risk for cancer recurrence (hazard ratio = 4.7 (95% CI=1.566-14.05)). Furthermore, the recurrence score identified stage III patients whose five-year recurrence-free survival was >88% and for whom adjuvant chemotherapy did not provide improved survival. Conclusion: Our biologically based gene expression profile yielded a potentially useful classifier to predict cancer recurrence and death independently of conventional measures in colon cancer patients. Experiment Overall Design: Gene expression array differences between highly invasive mouse colon cancer cells and non-invasive colon cancer cells were used to develop a metastasis gene expression profile. It was refined using gene expression data from 55 patient (VMC) samples and trained using 177 patient (Moffitt) samples.

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Evaluation of NETs in Patients With Solid Cancers Associated With a High Risk of Venous Thromboembolic Events

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