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ScRNA-seq of cancer and CD8+ cells during early metastasis identifies targetable subpopulations and immune evasion mechanisms

ABSTRACT: Profiling tumors at single-cell resolution provides an opportunity to understand complexities underpinning lymph-node metastases in head and neck squamous-cell carcinoma. Single-cell RNAseq (scRNAseq) analysis of cancer-cell trajectories identified a sub-population of pre-metastatic cells, driven by actionable pathways including AXL and AURK. Blocking these two proteins blunted tumor invasion in patient-derived cultures. Furthermore, scRNAseq analyses of tumor-infiltrating CD8+ T-lymphocytes showed two distinct trajectories to T-cell dysfunction, corroborated by their clonal architecture based on single-cell T-cell receptor sequencing. By determining key modulators of these trajectories, followed by validation using external datasets and functional experiments, we uncovered a novel role for SOX4 in mediating T-cell exhaustion. Finally, interactome-analyses between pre-metastatic tumor-cells and CD8+ T-lymphocytes uncovered a putative role for the Midkine pathway in immune-modulation; this was confirmed by scRNAseq of tumors from humanized mice. Aside from specific findings, this study demonstrates the importance of tumor heterogeneity analyses in identifying key vulnerabilities during early metastasis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE188737 | GEO | 2023/02/17

REPOSITORIES: GEO

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scRNA-seq of cancer and CD8+ cells during early metastasis identifies targetable subpopulations and immune evasion mechanisms

Project description:Profiling tumors at single-cell resolution provides an opportunity to understand complexities underpinning lymph-node metastases in head and neck squamous-cell carcinoma. Single-cell RNAseq (scRNAseq) analysis of cancer-cell trajectories identifies a sub-population of pre-metastatic cells, driven by actionable pathways including AXL and AURK. Blocking these two proteins blunts tumor invasion in patient-derived cultures. Furthermore, scRNAseq analyses of tumor-infiltrating CD8+ T-lymphocytes show two distinct trajectories to T-cell dysfunction, corroborated by their clonal architecture based on single-cell T-cell receptor sequencing. By determining key modulators of these trajectories, followed by validation using external datasets and functional experiments, we uncover a role for SOX4 in mediating T-cell exhaustion. Finally, interactome-analyses between pre-metastatic tumor-cells and CD8+ T-lymphocytes uncover a putative role for the Midkine pathway in immune-modulation and this is confirmed by scRNAseq of tumors from humanized mice. Aside from specific findings, this study demonstrates the importance of tumor heterogeneity analyses in identifying key vulnerabilities during early metastasis.

2023-02-17 | GSE225170 | GEO

Profiling cancer cells during early metastasis identifies targetable subpopulations [cell line scRNA-seq]

2023-02-17 | GSE225331 | GEO

The cellular origin and differentiation status of glioblastoma by scRNA-seq

Project description:Understanding the cellular origin and differentiation status of glioblastoma is critical to resolve the etiology of the disease. we profile 18 patient glioblastomas by single cell RNA sequencing (scRNAseq). From this, we uncovered two principal cell-of-origin relations. Each lineage displays unique directional differentiation trajectories and transcriptional cores from the naïve cell populations. Thus, glioblastoma is defined by robust cell lineage features which may provide insights into the cell origin of the diseases.

2022-04-19 | GSE159416 | GEO

Single-cell RNA-seq of tumor-infiltrating lymphocytes in metastatic uveal melanoma

Project description:Single-cell RNA-seq of tumor-infiltrating lymphocytes in metastatic uveal melanoma

| PRJEB37120 | ENA

Single-cell RNA-seq of tumor-infiltrating lymphocytes in metastatic uveal melanoma

Project description:Metastatic uveal melanoma generally responds poorly to immunotherapy. The aim here was to sequence tumor-infiltrating lymphocytes from uveal melanoma metastases to study their phenotypes and T-cell receptor (TCR) clonotypes. We performed paired single-cell transcriptome and TCR sequencing using the 10x Genomics platform of IL2-expanded tumor-infiltrating lymphocytes from 7 liver and 1 subcutaneous metastasis.

2020-03-16 | E-MTAB-8846 | biostudies-arrayexpress

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

A Single-Cell Atlas of the Multicellular Ecosystem of Primary and Metastatic Hepatocellular Carcinoma

Project description:Hepatocellular carcinoma (HCC) represents a paradigm of the relation between tumor microenvironment and tumor development. Here, we generated > 70,000 single-cell transcriptomes for 10 HCC patients from four relevant sites: primary tumor, portal vein tumor thrombus (PVTT), metastatic lymph node and non-tumor liver. We discovered a cluster of antitumor central memory T cells enriched in intratumoral tertiary lymphoid structures (TLSs) of HCC. We found chronic HBV/HCV infection increases the infiltration of CD8+ T cells in tumors but aggravates the exhaustion of tumor-infiltrating lymphocytes. We identified MMP9+ macrophages to be terminally differentiated tumor-associated macrophages (TAMs) and two distinct differentiation trajectories are related to their accumulation. We further demonstrated MMP9+ TAMs can promote HCC cells migration, invasion and angiogenesis. Our data also revealed the heterogeneous population of malignant hepatocytes and found they might play multifaceted roles in shaping the immune microenvironment of HCC. Finally, we identified seven TME subtypes of HCC that can predict patient prognosis. Collectively, this large-scale, single-cell atlas deepens our understanding of the ecosystem in primary and metastatic HCCs, might facilitating identification of new immune therapy strategies for this malignancy.

2020-04-30 | GSE149614 | GEO

Single cell RNA profiling of neutrophils in a model of pancreatic orthotopic cancer

Project description:Neutrophils are increasingly recognized as key players in the tumour immune response, and are associated with poor clinical outcomes. Despite recent advances characterizing the diversity of neutrophil states in cancer, common trajectories and mechanisms governing the ontogeny and relationship between these neutrophil states remain undefined. Single-cell RNA sequencing (scRNAseq) of neutrophils from the bone marrow, spleen, and blood in addtion to the pancreatic tumor thus uncovers an unique tumor differentiation trajectory, where immature and mature neutrophils converge into a terminally differentiated tumor neutrophil state.

2024-01-11 | GSE243466 | 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

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

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