Browse
Submit Data
Databases
API
Help

Dataset Information

4 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Factors impacting on prognosis and treatment in patients with liver and lung metastases from colorectal cancer

ABSTRACT: Background and study aims Colorectal cancer means cancer that starts in the colon (large bowel) or back passage (rectum). It is a common cancer, and in about half of patients it will spread to the liver (liver metastases). For patients with liver metastases the only treatment with long-term survival is surgery. It is however less well studied as to how many of those patients will also develop lung metastases, and above all which treatment will be the most beneficial. The aim of this study is to find out whether lung surgery improves survival, compared to chemotherapy, for patients with liver and lung metastases from colorectal cancer. Who can participate? All patients with liver and lung metastases from colorectal cancer What does the study involve? Data is gathered from the Swedish Colorectal Cancer Registry from 2007 to 2016, from the Swedish Liver Registry from 2008 to 2016 and from the Swedish Thoracic Registry from 2009 to 2016. Data is also gathered from the In Patients Registry and from the Death Registry from 2007 to 2016. The study period is from 2007 to 2016. From these registries all patients with liver and lung metastases from colorectal cancer are identified. The main study questions is whether there is any difference in survival depending on the type of treatment for liver and lung metastases and if there is any factor that may affect survival. The aim is to find out whether liver and lung surgery for patients with colorectal cancer results in an improved survival compared to liver surgery and palliative chemotherapy for lung metastases.

DISEASE(S): Patients With Liver And Lung Metastases From Colorectal Cancer

PROVIDER: 2426568 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Expression data from fine-needle aspiration biopsies of breast cancer metastases from different anatomical sites

2014-11-03 | GSE56493 | GEO

Expression data from fine-needle aspiration biopsies of breast cancer metastases from different anatomical sites

Project description:Breast cancer molecular subtypes preferentially metastasize to specific organs and the anatomical location of the metastasis is associated with the length of survival post-recurrence. We used microarrays to provide a detailed characterization of breast cancer site-specific metastases with particular focus on identifying genes predictive of breast cancer liver metastatic proprnsity We performed global gene expression profiling on fine-needle aspirates of metastatic lesions from different anatomical sites obtained from breast cancer patients treated within the Swedish randomized trial (TEX) of first-line chemotherapy for locally advanced or metastatic breast cancer. Samples were collected before commencement of treatment.

2013-12-02 | E-GEOD-46141 | biostudies-arrayexpress

Expression data from fine-needle aspiration biopsies of breast cancer metastases from different anatomical sites

Project description:To determine whether breast cancer molecular subtypes and tumor characteristics with demonstrated significance in a primary tumor setting can also confer clinically relevant information in breast cancer metastases. We assessed previously published gene expression modules of seven biological processes and the intrinsic subtypes (PAM50). The translational aspect of the Swedish randomized TEX trial included 112 patients with at least one biopsy from morphologically confirmed loco-regional or distant breast cancer metastasis diagnosed from December 2002 until June 2007. All patients had detailed clinical information, complete follow-up and metastasis gene expression information (Affymetrix array GPL10379). We performed global gene expression profiling on fine-needle aspirates of metastatic lesions from different anatomical sites obtained from breast cancer patients treated within the Swedish randomized trial (TEX) of first-line chemotherapy for locally advanced or metastatic breast cancer. Samples were collected before commencement of treatment.

2014-11-03 | E-GEOD-56493 | biostudies-arrayexpress

Characterization of spatial heterogeneity in metastasized colorectal cancer by MALDI imaging

Project description:About 50% of colorectal cancer patients develop liver metastases. Patients with metastatic colorectal cancer have 5-year survival rates below 20% despite new therapeutic regimens. Tumor heterogeneity has been linked with poor clinical outcome, but was so far mainly studied via bulk genomic analyses. In this study we performed spatial proteomics via MALDI mass spectrometry imaging on six patient matched CRC primary tumor and liver metastases to characterize interpatient, intertumor and intratumor hetereogeneity. We found several peptide features that were enriched in vital tumor areas of primary tumors and liver metastasis and tentatively derived from tumor cell specific proteins such as annexin A4 and prelamin A/C. Liver metastases of colorectal cancer showed higher heterogeneity between patients than primary tumors while within patients both entities show similar intratumor heterogeneity sometimes organized in zonal pattern. Together our findings give new insights into the spatial proteomic heterogeneity of primary CRC and patient matched liver metastases.

2023-02-17 | PXD039409 | Pride

Microwave Ablation Versus Resection for Resectable Colorectal Liver Metastases

Project description:This study aims to prove that a strategy of first line local ablation of colorectal liver metastases with microwaves is not inferior to liver resections in terms of survival rates at three years with secondary endpoints being survival at five and ten years, interventional complication rates, length of stay, ablation precision measurements, need for further interventions and health-economic analysis. A cohort of 100 patients treated with CT guided microwave ablation of 1-5 metastases <31mm in size will be followed and compared with propensity scored matched controls from the Swedish liver surgery registry - Sweliv. The study is a multi-institutional effort by the Hepato Pancreatico Biliary (HPB) units in Stockholm Sweden, Bern Switzerland and Groningen in the Netherlands.

| 2205184 | ecrin-mdr-crc

Single cell transcriptomes of hepatic immune cells from mice with and without colorectal cancer liver metastasis

Project description:Metastasis is the primary cause of cancer mortality. Cancer frequently metastasizes to the liver. We report that liver metastases diminish immunotherapy efficacy systemically in patients and preclinical models. Mechanistically, liver metastases siphon activated CD8+ T cells from systemic circulation. Within the liver, activated antigen-specific Fas+CD8+ T cells undergo apoptosis following their interaction with FasL+CD11b+F4/80+ monocyte-derived macrophages. Consequently, liver metastases create a systemic immune desert in both preclinical models and patients. Liver-directed radiotherapy eliminates immunosuppressive hepatic macrophages, increases hepatic T-cell survival, and reduces hepatic siphoning. Thus, liver metastases co-opt host peripheral tolerance mechanisms to cause acquired immunotherapy resistance through CD8+ T-cell deletion and the combination of liver-directed radiotherapy and immunotherapy is a novel therapeutic strategy to promote systemic anti-tumour immunity.

2020-10-02 | GSE157600 | GEO

Expression Data from Uveal Melanoma primary tumors.

Project description:A high percentage of uveal melanoma patients develop metastatic tumors that predominately occur in the liver. To identify genes associated with metastasis in this pathology, we studied 63 molecular profiles derived from gene expression microarrays performed from enuceated primary tumors. Metastasis free survival analysis was performed to obtain clinical and genomic variables associated to metastasis occurrence. We also compared within the 57 tumors with at least 36 months follow-up, 28 uveal melanoma from patients who developed liver metastases (meta1 group) with 29 tumors arising from patients without metastases (or later metastases, i.e. after 36 months) (meta0 group). The transcriptome of 63 uveal melanoma from enucleation of untreated patients were analyzed using Affymetrix U133plus2 Arrays.

2010-12-14 | E-GEOD-22138 | biostudies-arrayexpress

Tissue engineered colorectal cancer metastasis

Project description:To confirm that the biology of engineered liver and lung metastases are similar to in vivo metastases, we compared the global gene expression profiles of the engineered liver and lung metastases of HT-29 cells to that of standard tissue culture (plastic), Matrigel culture and in vivo liver metastasis (splenic injection).

2017-01-28 | GSE76180 | GEO

Copy number analysis of liver metastases from colorectal cancer

Project description:Almost half of all patients diagnosed with colorectal cancer develop liver metastases. The potential role of intra-individual metastatic heterogeneity remains poorly characterized. By high-resolution DNA copy number analyses and a novel approach based on pair-wise genetic distance, we examined the genetic heterogeneity among multiple liver metastatic deposits obtained from 45 patients subject to curative liver resection. We found large variation in intra-individual metastatic heterogeneity. A high level of heterogeneity was associated with poor patient survival. Patients with metachronous metastases who received chemotherapy had significantly more heterogeneity than chemonaïve patients.

2016-07-11 | GSE63490 | GEO

Expression Data from Uveal Melanoma primary tumors.

2010-12-14 | GSE22138 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data