Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Response to immunotherapy in melanoma metastasis

ABSTRACT: We have study 15 melanoma metastasis obtained from 2 different patients. Five metastases were obtained from patient 1 after M-VAX treatment (2 regressing and 3 progressing). Ten were obtained from patient 2, five after interferon treatment (1 progressing and 4 regreesing) and another 5 after M-VAX treatment (1 progressing and 4 regressing)

ORGANISM(S): Homo sapiens

PROVIDER: GSE26383 | GEO | 2011/12/31

SECONDARY ACCESSION(S): PRJNA136613

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Response to immunotherapy in melanoma metastasis

Project description:We have study 15 melanoma metastasis obtained from 2 different patients. Five metastases were obtained from patient 1 after M-VAX treatment (2 regressing and 3 progressing). Ten were obtained from patient 2, five after interferon treatment (1 progressing and 4 regreesing) and another 5 after M-VAX treatment (1 progressing and 4 regressing) We have study 15 melanoma metastasis obtained from 2 different patients. Five metastases were obtained from patient 1 after M-VAX treatment (2 regressing and 3 progressing). Ten were obtained from patient 2, five after interferon treatment (1 progressing and 4 regreesing) and another 5 after M-VAX treatment (1 progressing and 4 regressing)

2011-12-31 | E-GEOD-26383 | biostudies-arrayexpress

Progressing vs regressing melanoma metastases

Project description:We documented the transcriptional pattern of 3 progressing and 2 regressing synchronous melanoma metastases from the same patient following M-VAX treatment. Two-condition experiment, Progressing vs regressing metastases. 3 progressing and 2 regressing metastases extracted from the same patient after M-VAX immunotherapy. One replicate per array.

2010-09-11 | E-GEOD-24067 | biostudies-arrayexpress

Progressing vs regressing melanoma metastases

Project description:We documented the transcriptional pattern of 3 progressing and 2 regressing synchronous melanoma metastases from the same patient following M-VAX treatment.

2010-09-11 | GSE24067 | GEO

Homo sapiens

Project description:Progressing vs regressing melanoma metastases

| PRJNA130231 | ENA

Reactivation of low avidity, tumor-specific CD8+ T cells correlates with immunotherapeutic efficacy of anti-PD-1

Project description:To investigate the phenotypic differences between high and low avidity tumor-specific CD8+ tumor-infiltrating lymphocytes (TILs) following anti-PD-1 therapy, we performed bulk RNA-seq on tetramer sorted GSW11-specific T cells from three regressing and three progressing CT26 tumors: giving three groups of total TethiCD8+CD44+ TILs from the progressing tumors (TetHighProg), TetloCD8+CD44+ TILs from the progressing tumors (TetLowProg) and TetloCD8+CD44+ TILs from the regressing tumors (TetLowReg), total 9 samples.

2023-08-23 | GSE221590 | GEO

microRNA expression patterns of lung metastasis samples distinguish patients with high vs. low rates of metastasis

Project description:Background: Many strategies to define subtypes and treat cancer relies on a presumption of either localized or widespread (poly)metastatic disease. We proposed an intermediate state of metastasis termed oligometastasis(es) characterized by limited metastatic progression and amenable to treatment by localized methods e.g. surgery or radiotherapy. Methods: To understand the biological basis of oligometastatic and polymetastatic progression, we analyzed microRNA expression patterns from lung tumor samples of patients with less than five metastases at first metastasis presentation and treated with metastasis-directed surgery. Results: Patients were stratified into four subgroups of oligo- and poly-metastatic progression based on the rate of metastatic progression over follow-up period. We prioritized microRNAs between the extremes of oligo- vs. poly-metastatic progression and validated their capacity to distinguish these phenotypes and predict survival in an independent validation dataset. Conclusions: Our results provide further evidence for the biological underpinnings of oligometastasis(es) and potential microRNA candidates to predict progression trajectories of patients and optimize corresponding metastasis-directed treatment. We collected tumor samples from 63 patients that (i) had between one and five metastasis(es) at first metastatic presentation and no clinical or radiologic evidence of metastases in the pleural, peritoneal, pericardial or retroperitoneal cavities,(ii) at the time of lung surgery, had every site of known metastases treated with definitive intent, and (iii) had a minimum of 16 months of follow-up after surgery was required. Total RNA were derived from FFPE metastatic tissue samples. Patient samples were subsequently classified into 3 groups: those from patients with high, intermediate and low rates of progression.

2012-06-13 | E-GEOD-38698 | biostudies-arrayexpress

Proteomic characterization of primary and brain metastatic lung adenocarcinomas in a well-defined patient cohort

Project description:Lung adenocarcinoma (LADC) is the most common subtype of non-small cell lung cancer (NSCLC). One major feature of disease progression is the metastatic spread to the central nervous system (CNS). Treatment regimens for brain metastases are limited, thus distant metastases remain the leading cause of tumour-associated deaths globally. The central aim of this paper was to investigate the differences of LADC and brain metastases with reference to fast and slowly progressing patients. Additionally, we elucidated the differences between patients with single versus multiple brain metastases.

2023-03-11 | PXD027259 | Pride

Limited macrophage dynamics in progressing or regressing murine atherosclerotic plaques

Project description:Limited macrophage dynamics in progressing or regressing murine atherosclerotic plaques

| PRJNA480910 | ENA

MiR-374a Promotes Epithelial-Mesenchymal Transition (EMT) and Metastasis of Breast Cancer (miRNA dataset)

Project description:This experiment is designed to screen miRNAs that are deregulated during breast cancer metastasis. Comparatively analyzing miRNAs in parental MDA-MB-435 cells and cells obtained from its lung metastases, 23 miRNAs expressed differentially, among which 12 were elevated and 11 were down-regulated. Total RNA were extracted from parental MDA-MB-435 cells and cells obtained from its lung metastases after 30 days inoculation. Two biological replications for each treatment.

2012-07-13 | E-GEOD-39358 | biostudies-arrayexpress

Amyloid Beta Promotes Brain Metastasis

Project description:Brain metastasis is a significant cause of morbidity and mortality in multiple cancer types and represents an unmet clinical need. The mechanisms that mediate metastatic cancer growth in the brain parenchyma are largely unknown. Melanoma, which has the highest rate of brain metastasis among common cancer types, is an ideal model to study how cancer cells adapt to the brain parenchyma. We utilized pairs of brain metastasis-derived (BM) and non-brain metastasis-derived (NBM) melanoma short term cultures (STCs) obtained from the same patient. We performed TMT based multiplexed analysis of these cell lines using off-line fractionation to increase our proteomics coverage. Our unbiased proteomics analysis of these melanoma short-term cultures revealed that proteins implicated in neurodegenerative pathologies are differentially expressed in melanoma cells explanted from brain metastases compared to those derived from extracranial metastases. We showed that melanoma cells require amyloid beta for growth and survival in the brain parenchyma. Melanoma-secreted A beta activates surrounding astrocytes to a pro-metastatic, anti-inflammatory phenotype and prevents phagocytosis of melanoma by microglia. Finally, we demonstrate that pharmacological inhibition of Abeta decreases brain metastatic burden.

2022-02-10 | MSV000088814 | MassIVE

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