Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Response to tumor- infiltrating lymphocyte adoptive therapy is associated with preexisting CD8+T- myeloid cell networks in melanoma [full scRNAseq]

ABSTRACT: Adoptive cell therapy (ACT) using ex vivo–expanded tumor-infiltrating lymphocytes (TILs) can eliminate or shrink metastatic melanoma, but its long-term efficacy remains limited to a fraction of patients. Using longitudinal samples from 13 patients with metastatic melanoma treated with TIL-ACT in a phase 1 clinical study, we interrogated cellular states within the tumor microenvironment (TME) and their interactions. We performed bulk and single-cell RNA sequencing, whole-exome sequencing, and spatial proteomic analyses in pre- and post-ACT tumor tissues, finding that ACT responders exhibited higher basal tumor cell–intrinsic immunogenicity and mutational burden. Compared with nonresponders, CD8+ TILs exhibited increased cytotoxicity, exhaustion, and costimulation, whereas myeloid cells had increased type I interferon signaling in responders. Cell-cell interaction prediction analyses corroborated by spatial neighborhood analyses revealed that responders had rich baseline intratumoral and stromal tumor–reactive T cell networks with activated myeloid populations. Successful TIL-ACT therapy further reprogrammed the myeloid compartment and increased TIL-myeloid networks. Our systematic target discovery study identifies potential T-myeloid cell network–based biomarkers that could improve patient selection and guide the design of ACT clinical trials.

ORGANISM(S): Homo sapiens

PROVIDER: GSE222446 | GEO | 2024/02/05

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Response to tumor- infiltrating lymphocyte adoptive therapy is associated with preexisting CD8+T- myeloid cell networks in melanoma [scTCRseq]

Project description:Adoptive cell therapy (ACT) using ex vivo–expanded tumor-infiltrating lymphocytes (TILs) can eliminate or shrink metastatic melanoma, but its long-term efficacy remains limited to a fraction of patients. Using longitudinal samples from 13 patients with metastatic melanoma treated with TIL-ACT in a phase 1 clinical study, we interrogated cellular states within the tumor microenvironment (TME) and their interactions. We performed bulk and single-cell RNA sequencing, whole-exome sequencing, and spatial proteomic analyses in pre- and post-ACT tumor tissues, finding that ACT responders exhibited higher basal tumor cell–intrinsic immunogenicity and mutational burden. Compared with nonresponders, CD8+ TILs exhibited increased cytotoxicity, exhaustion, and costimulation, whereas myeloid cells had increased type I interferon signaling in responders. Cell-cell interaction prediction analyses corroborated by spatial neighborhood analyses revealed that responders had rich baseline intratumoral and stromal tumor–reactive T cell networks with activated myeloid populations. Successful TIL-ACT therapy further reprogrammed the myeloid compartment and increased TIL-myeloid networks. Our systematic target discovery study identifies potential T-myeloid cell network–based biomarkers that could improve patient selection and guide the design of ACT clinical trials.

2024-02-05 | GSE222750 | GEO

Response to tumor- infiltrating lymphocyte adoptive therapy is associated with preexisting CD8+T- myeloid cell networks in melanoma [CD45 scRNAseq]

2024-02-05 | GSE221553 | GEO

Response to tumor- infiltrating lymphocyte adoptive therapy is associated with preexisting CD8+T- myeloid cell networks in melanoma [bulk RNAseq]

2024-02-05 | GSE221253 | GEO

Tumor-reactive T cell clonotype dynamics underlying clinical response to TIL therapy in melanoma [scTCR-seq]

Project description:Adoptive cell therapy (ACT) using in vitro expanded tumor-infiltrating lymphocytes (TILs) has inconsistent clinical responses. To better understand determinants of therapeutic success, we tracked TIL clonotypes from baseline tumors to ACT products and post-ACT blood and tumor samples in melanoma patients using single-cell RNA and T cell receptor (TCR) sequencing. Patients with clinical responses had baseline tumors enriched in tumor-reactive TILs, and these were more effectively mobilized upon in vitro expansion, yielding products enriched in tumor-specific CD8+ cells that preferentially infiltrated tumors post-ACT. Conversely, lack of clinical responses was associated with tumors devoid of tumor-reactive resident clonotypes and with cell products mostly composed of blood-borne clonotypes that persisted in blood but not in tumors post-ACT. Upon expansion, tumor-specific TILs lost tumor-associated transcriptional signatures, including exhaustion, and responders exhibited an intermediate exhausted effector state after TIL engraftment in the tumor, suggesting functional reinvigoration. Our findings provide insight into the nature and dynamics of tumor-specific clonotypes associated with clinical response to TIL-ACT, with implications for treatment optimization.

2023-08-01 | GSE229860 | GEO

Tumor-reactive T cell clonotype dynamics underlying clinical response to TIL therapy in melanoma [scRNA-seq]

2023-08-01 | GSE229858 | GEO

Tumor-reactive T cell clonotype dynamics underlying clinical response to TIL therapy in melanoma [multiome]

2024-09-13 | GSE261023 | GEO

Tumor-reactive T cell clonotype dynamics underlying clinical response to TIL therapy in melanoma [TCR-Seq]

2023-08-01 | GSE234352 | 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

Transcriptome profile of Responders and Nonresponders T cells infiltrated lymphocytes (TILs) co-cultured with autologous tumor cells from patients with melanoma.

Project description:Adoptive cell therapy (ACT) based on ex vivo expanded autologous tumor-infiltrating lymphocytes (TILs) can mediate durable antitumor responses even in heavily pretreated patients. However, only a subset of patients responds to ACT; efforts to identify correlates of response have focused on profiling the tumor or the TIL but rarely in an interactive environment. Interactive profiling can provide unique insights into the clinical performance of TILs since the fate, function, and metabolism of TILs are influenced by autologous tumor-derived factors. Here, we performed a suite of cell-sparing assays dubbed holistic analysis of the bioactivity of interacting T cells and autologous tumor cells (HABITAT). HABITAT profiling of TILs used for human ACT and their autologous tumor cells included function-based single-cell profiling by timelapse imaging microscopy in nanowell grids (TIMING); multi-omics using RNA-sequencing and proteomics; metabolite inference using genome-scale metabolic modeling, and pulse-chase assays based on confocal microscopy to profile the uptake and fate of fatty acids (FA). Phenotypically, the ACT TILs from both responders (Rs) and nonresponders (NRs) were comprised of predominantly effector memory T cells (TEM cells) and did not express a high frequency of programmed death ligand-1 (PD-L1) and showed no differences in TCR diversity. Our results demonstrate that while tumor cells from both Rs and NRs are efficient at uptaking FAs, R TILs are significantly more efficient at utilizing FA through fatty acid oxidation (FAO) than NR TILs under nutrient starvation conditions. While it is likely that lipid and FA uptake is an inherent adaptation of TIL populations to lipid-rich environments, performing FAO sustains the survival of TILs and allows them to sustain antitumor cytolytic activity. We propose that metabolic plasticity enabling FAO is a desirable attribute of human TILs for ACT leading to clinical responses.

2023-05-01 | GSE215037 | GEO

Adoptively transferred tumor-infiltrating lymphocyte immunotherapy following concurrent chemoradiotherapy in patients with advanced cervical cancer: a phase 1 trial

Project description:Twenty-seven CC patients with stage III to IV were recruited in this a single-center, phase I study. TILs were isolated from local or metastatic CC lesions and generated under GMP conditions. Thirteen patients accepted TIL-based ACT and intramuscular IL-2 following CCRT or CT treatment. Outcomes were classified as patients with a poor outcome (nonresponders) and patients with a favorable outcome (responders). Single cell RNA sequencing (scRNA-seq) for infused TIL products in responder and non-responder.

2022-07-19 | GSE190075 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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