Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

CD8+ T cells in peripheral blood lymphocytes and tumor-infiltrating lymphocytes of melanoma patients: additional validation data

ABSTRACT: CD8+ T cells are the primary target of immune checkpoint inhibitor (ICI) therapy in the treatment of cancers. ICI therapy only benefits a subset of patients and complicating this issue is a reliable prediction method that does not require invasive biopsies. We built an ICI response prediction model using scRNA seq data, and for validation of the model here we conduct single cell RNA sequencing of CD8+ T cells in peripheral blood or tumor lymphocytes of 2 additional melanoma patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE153098 | GEO | 2021/11/16

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

CD8+ T cells in peripheral blood lymphocytes and tumor-infiltrating lymphocytes of melanoma patients

Project description:CD8+ T cells are the primary target of immune checkpoint inhibitor (ICI) therapy in the treatment of melanoma. ICI therapy only benefits a subset of patients and complicating this issue is a reliable prediction method that does not require invasive biopsies. In the hope of remedying this challenge, we conducted single-cell transcriptomic analyses of CD8+ T cells in peripheral blood lymphocytes (CD8-mPBLs) and, importantly, tumor-infiltrating lymphocytes (CD8-mTILs) from 8 patients with metastatic melanoma.

2021-11-16 | GSE138720 | GEO

Bulk RNA seq profile of CD8+ T cells in peripheral blood lymphocytes from 28 melanoma patients

Project description:CD8+ T cells are the primary target of immune checkpoint inhibitor (ICI) therapy in the treatment of cancers. ICI therapy only benefits a subset of patients and complicating this issue is a reliable prediction method that does not require invasive biopsies. We built an ICI response prediction model using scRNA seq data, and for validation of the model here we profiled transcriptome of CD8+ T cells in peripheral blood lymphocytes of 28 melanoma patients that responded to ICI or not using bulk RNA sequencing.

2021-11-16 | GSE171256 | GEO

RNA seq data of CD8+ T cells in peripheral blood lymphocytes from melanoma and lung cancer patients

Project description:CD8+ T cells are the primary target of immune checkpoint inhibitor (ICI) therapy in the treatment of cancers. ICI therapy only benefits a subset of patients and complicating this issue is a reliable prediction method that does not require invasive biopsies. We built an ICI response prediction model using scRNA seq data, and for validation of the model here we profiled transcriptome of CD8+ T cells in peripheral blood lymphocytes of 4 melanoma and 4 lung cancer patients that responded to ICI or not using RNA sequencing.

2021-11-17 | GSE152590 | GEO

Clonal dynamics of alloreactive T cells in kidney allograft rejection after anti-PD-1 therapy [Non-naive CD8 single-cell]

Project description:Kidney transplant recipients are at particular risk for developing tumors, many of which are now routinely treated with immune checkpoint inhibitors (ICIs); however, ICI therapy can precipitate transplant rejection. We utilized TCR sequencing to identify and track alloreactive T cells in a patient with melanoma who experienced kidney transplant rejection following ICI therapy. ICI therapy was associated with a sharp increase in circulating alloreactive CD8+ T cell clones, many of which were also detected in the rejected kidney but not at tumor sites. Longitudinal and cross-tissue TCR analyses revealed unintended expansion of alloreactive CD8+ T cells induced by ICI therapy for cancer, coinciding with ICI-associated organ rejection.

2023-02-01 | GSE216762 | GEO

Clonal dynamics of alloreactive T cells in kidney allograft rejection after anti-PD-1 therapy [bulkTCRseq]

2023-02-01 | GSE216758 | GEO

Clonal dynamics of alloreactive T cells in kidney allograft rejection after anti-PD-1 therapy [MLR single-cell]

2023-02-01 | GSE216756 | GEO

CD8+ T cells in peripheral blood lymphocytes and tumor-infiltrating lymphocytes of melanoma patients: additional validation data

Project description:CD8+ T cells in peripheral blood lymphocytes and tumor-infiltrating lymphocytes of melanoma patients: additional validation data

| PRJNA641423 | ENA

Human CD28+/- tumor infiltrating lymphocytes gene expression

Project description:This analysis reveals the different gene expression profiles between human melanoma tumor infiltrating lymphocytes subsets CD8+CD28+ and CD8+CD28-. Adoptive cell therapy (ACT) is an effective approach that removes tumor-infiltrating lymphocytes (TILs) from this suppressive tumor microenvironment and expands and activates CD8+ and CD4+ T cells in vitro, differentiating them into potent anti-tumor effector cells that can be re-introduced back into patients. One of the key problems that may limit tumor regression and long-term durable clinical responses in ACT is the persistence of TILs following infusion. Our study has indicated that ex vivo expanded TILs to be hypo-responsive to peptide re-stimulation, manifested in slow entry into cell cycle and increased apoptosis. Phenotypic and functional analysis using a number of different T-cell differentiation markers found that CD28 was markedly down-modulated in post-REP cells, while CD27 and CD57 levels showed no statistically-relevant changes in expression. Here on a global gene expression level, microarray gene chip analysis of sorted CD8+CD28+ and CD8+CD28- post-REP TILs revealed a number of key differences in their gene expression profiles; notably, an increase in KIR family member expression, loss of p53-binding proteins, and lower CD127/IL-7Ra gene expression found in the CD28- population. On top of advancing T cell phenotype, reactivation and memory, this set of data may also provide insight for ACT clinical protocol optimization to improve TIL response in vivo.

2009-06-10 | GSE16517 | GEO

RNA Profiling in Patients' tumor infiltrating lymphocytes

Project description:Identifying tumor antigen-specific T cells from cancer patients has been a goal of tumor immunologists for several decades. Co-expression of CD103 and CD39 on CD8 TIL highly enriches for tumor-reactive T cells. CD39+CD103+ CD8 TIL have a distinct TCR repertoire compared to other CD8 TIL subsets and are clonally expanded within the tumor. They are highly enriched for tumor antigen recognition and efficiently killed autologous tumor cells. Patients with head and neck cancer whose CD8 TIL contained a higher frequency of CD39+CD103+ cells experienced a greater overall survival. This work describes a simple and effective method for detecting tumor-reactive CD8 TIL.

2018-05-26 | GSE114944 | GEO

Expression data from FACS-sorted CD8+BTLA+ vs CD8+BTLA- Human Tumor-infiltrating Lymphocytes in Metastatic Melanoma

Project description:Adoptive T-cell Therapy (ACT) involves using tumor-infiltrating lymphocytes (TIL) isolated from metastatic melanoma and expanding them ex vivo prior to infusion into lympho-depleted patients. This is one of the most promising approaches to treat metastatic melanoma, with the rates of clinical response between 48-50% based on studies done at NCI, M.D. Anderson Cancer Center (Houston, TX), and Sheba Medical Center (Tel Aviv, Israel). In the Phase II ACT Trial at M.D. Anderson Cancer Center , our group has uncovered an association between positive clinical response and the amount of CD8+ tumor-infiltrating lymphocytes expressing B and T Lymphocyte Attenuator (BTLA), a reported inhibitory receptor on T-cells. We used microarrays to detail the differences in the global programme of gene expression between CD8+BTLA+ vs CD8+BTLA- TILs in order to understand the molecular basis of the clinical association. TILs were isolated by enzymatically digest the melanoma tumor fragments obtained from Stage IIIc/IV melanoma patients at M.D. Anderson Cancer Center. The TILs were expanded with high-dose IL-2 for two weeks prior to sorting by FACS (fluoresecence-activated cell sorter) for CD8+BTLA+ and CD8+BTLA- susbets. RNA was extracted from each sorted subsets and hybridized on Affymetrix microarrays

2013-01-03 | E-GEOD-43260 | biostudies-arrayexpress

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