Dataset Information

Survivorship in Lynch Syndrome Families

ABSTRACT: Objectives: Specific Aims: 1. Researchers will evaluate and compare predictors of health-related quality of life (QOL) among colorectal cancer (CRC) survivors who have Lynch syndrome (LS) with those patients who have sporadic CRC using both quantitative and qualitative methodology. a. In both CRC groups, researchers will evaluate cancer preventive and health behaviors, including lifestyle factors and screening, psychosocial factors, including mood, family functioning, coping style, anxiety, depression, and social resources, and health care system factors, including interactions with health care providers and service utilization. 2. Researchers will compare the experience of first-degree relatives (FDRs) of patients who have LS with that of FDRs of patients who have sporadic CRC using both quantitative and qualitative methodology. a. Researchers will evaluate all of the domains listed above, as well as anticipatory grief, assessment of caregiving responsibilities, and fear of cancer in FDRs of patients with LS-related and sporadic CRC. 3. Researchers will examine CRC patients from both groups and their FDRs using dyadic analyses in order to evaluate the similarities and differences in their survivorship experience. 4. Researchers will evaluate the preventive and health behavior of patients who are non-conclusive for Lynch syndrome and their family members. They will examine their screening behavior and will explore how the interaction between the patients and their relatives affects the relatives’ screening behavior. They also will examine how these non conclusive LS patients and their family members perceive their risk for LS-related cancers.

DISEASE(S): Colorectal Cancer,Colorectal Neoplasms, Hereditary Nonpolyposis

PROVIDER: 2089374 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Similar Datasets

Project description:Colorectal cancer (CRC) is one of the most lethal cancers when it progresses to the advanced/metastatic stage. Treatment options for refractory metastatic colorectal cancer (mCRC) are limited. Therefore, there is an urgent need to develop effective treatment methods for metastatic colorectal cancer. In this study, we screened a library of small molecules for inhibitors of CRC recurrence using CRC cell lines and patient-derived organoids (PDOs) from metastatic, heavily pretreated CRC. The in vivo efficacy of LS-1-2 was evaluated in the HCT116 and the resistant HCT8 cell lines, patient-derived xenografts(PDXs) including refractory mCRC, and a liver metastasis mouse model. Biotin pull-down and liquid chromatography tandem-mass spectrometry (LC-MS/MS) were performed to identify proteins that interact with LS-1-2. The genome-wide gene expression and quantitative phosphoproteomic analyses were performed to determine the signaling pathway involved in LS-1-2. Molecular docking, molecular dynamics analysis and cellular thermal shift assays were used to predict and validate the binding sites of LS-1-2 on non-muscle Myosin IIA (NMHC IIA). Our results showed that LS-1-2 exhibited broad antiproliferative effects on a series of CRC cell lines and PDOs. The in vivo anti-tumor efficacy of LS-1-2 was demonstrated across cell line- and patient-derived xenografts and in the liver metastatic CRC model. NMHC IIA was identified as a direct target of LS-1-2, and LS-1-2 competitively inhibited the phosphorylation of NMHC IIA at S1943 and S1714 by CK2. NMHC IIA phosphorylation promoted CRC cell proliferation and invasion, which was reduced by LS-1-2. NMHC IIA phosphorylation-mediated YAP activity induced activation of AKT and inactivation of FOXO3a and was suppressed by LS-1-2. In conclusion, our findings suggest that NMHC IIA phosphorylation can be used as a potential molecular target in CRC metastasis, and that targeting NMHC IIA phosphorylation by LS-1-2 may be a promising strategy for the treatment and prevention of CRC metastasis.

Dataset Information

Survivorship in Lynch Syndrome Families

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets