Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [scRNA-seq]

ABSTRACT: Immune checkpoint blockade (ICB) has improved outcomes in head and neck squamous cell carcinoma (HNSCC), yet there is an unmet need for predictive, blood-based biomarkers to guide treatment. We longitudinally profiled peripheral immune responses in a mouse HNSCC model treated with anti–PD-1, using single-cell and bulk RNA sequencing with paired TCR sequencing. Early expansion of effector memory T cells (Tem) and B cells was associated with ICB response. Here, we show that the LiBIO score, a composite of Tem and B cell signatures, robustly predicts ICB response in HNSCC blood and tumor cohorts, outperforming existing biomarkers. Furthermore, the LiBIO score generalizes to melanoma, non-small cell lung cancer, and breast cancer, demonstrating potential as a clinically applicable blood-based biomarker for ICB response across multiple cancer types.

ORGANISM(S): Mus musculus

PROVIDER: GSE299683 | GEO | 2025/07/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [bulk RNA-seq]

Project description:Immune checkpoint blockade (ICB) has improved outcomes in head and neck squamous cell carcinoma (HNSCC), yet there is an unmet need for predictive, blood-based biomarkers to guide treatment. We longitudinally profiled peripheral immune responses in a mouse HNSCC model treated with anti–PD-1, using single-cell and bulk RNA sequencing with paired TCR sequencing. Early expansion of effector memory T cells (Tem) and B cells was associated with ICB response. Here, we show that the LiBIO score, a composite of Tem and B cell signatures, robustly predicts ICB response in HNSCC blood and tumor cohorts, outperforming existing biomarkers. Furthermore, the LiBIO score generalizes to melanoma, non-small cell lung cancer, and breast cancer, demonstrating potential as a clinically applicable blood-based biomarker for ICB response across multiple cancer types.

2025-07-15 | GSE299686 | GEO

Checkpoint blockade induced CD8+ T cell differentiation in responders in head and neck cancers

Project description:Background: Outcomes for locally advanced or recurrent/ metastatic head and neck squamous cell carcinomas (HNSCCs) remain unfavorable despite recent advances with immune checkpoint blockade (ICB). Preclinical studies using model antigens identified a critical role of CD8+TCF7+PD1+ T cells in anti-PD1 response. Studies on the heterogeneity and clonal dynamics of global tumor infiltrating T lymphocytes (TILs) in the HNSCC anti-PD1 and anti-CTLA4 response have not been explored. Results: In this study, we generated isogenic HNSCC anti-PD1 sensitive/resistant models that bore distinct cancer cell intrinsic transcriptomic programs. Tumor microenvironment characterization using mass cytometry and targeted depletion revealed the contribution of Tregs and M2-like macrophages in anti-PD1 resistance. Paired single-cell RNA and TCR sequencing on tumor infiltrating immune cells from ICB responsive and resistant HNSCC models identified a spectrum of CD8+ TIL subsets including TCF7+PD1- (naïve/memory-like), TCF7+PD1+ (progenitor exhausted), and TCF7-PD1+ (terminally exhausted). Mapping TCR shared fractions between these subsets identified that successful anti-PD1 or anti-CTLA4 therapy induced higher post-treatment T cell lineage transitions. A TIL differentiation gene signature was associated with better responses in multiple ICB clinical trials. Conclusions: Together, analyses integrating scRNAseq and TCRseq demonstrate distinct differentiation dynamics of CD8+ TILs in novel ICB responsive and resistant HNSCC models, highlighting critical aspects of CD8+ TIL differentiation in response to ICB.

2021-12-01 | GSE153383 | GEO

Immunologically hot phenotype is associated with response to PD-1/PD-L1 inhibitors in patients with advanced head and neck squamous cell carcinoma.

Project description:Ongoing immunomodulatory strategies in tumors characterized by an overall hot immune phenotype may improve prognosis of head and neck squamous cell carcinomas (HNSCC). Our objective was to develop a reliable and stable scoring system for the identification of immunologically hot HNSCC and to evaluate its association with response to immunotherapies. A Hot Oral Tumor (HOT) score was developed using data from The Cancer Genome Atlas. HOT score was computed in 102 patients with HNSCC treated with immunotherapy targeting PD-1/PD-L1 in the context of clinical trials. High HOT score was associated with a statistically significant improved clinical outcome.

2022-07-07 | GSE159067 | GEO

Gene expression profiles of paired endoscopic tumor biopsy (initial diagnostic assessment) and subsequent surgically resected specimens.

Project description:Ongoing immunomodulatory strategies in tumors characterized by an overall hot immune phenotype may improve prognosis of head and neck squamous cell carcinomas (HNSCC). Our objective was to develop a reliable and stable scoring system for the identification of immunologically hot HNSCC and to evaluate its association with response to immunotherapies. A Hot Oral Tumor (HOT) score was developed using data from The Cancer Genome Atlas. HOT score was then computed in 27 patients with HNSCC in paired perendoscopic tumor biopsy (initial diagnostic assessment) and subsequent surgically resected specimen. None of the patients was treated with neoadjuvant therapy. Concordance and correlation of the HOT score was high in paired samples.

2022-07-07 | GSE159141 | GEO

Clonal tracing reveals the contribution of both cancer-intrinsic and -extrinsic mechanisms to the heterogeneity of responses to immune checkpoint blockade [ATAC-seq]

Project description:Although multiple studies have investigated the biomarkers of response to immune checkpoint blockade (ICB), the significance of each biomarker varies across clinical cohorts independent of cancer type. It remains unclear whether primary ICB response and resistance is encoded in the cancer cells (cancer-intrinsic) or driven by the immune microenvironment unique to each host (cancer-extrinsic). To answer this question, we established a unique mouse system that utilizes clonal tracing and mathematical modeling to uncouple the cancer-intrinsic and -extrinsic mechanisms of ICB resistance. We found that tumors with the same clonal constitution show heterogeneous ICB response in different hosts. Primary resistance is associated with the cancer-extrinsic immune microenvironment rather than proliferation of intrinsically ICB-resistant cancer cells. Instead, pre-existing cancer-intrinsic ICB-resistant clones with distinct transcriptional and epigenetic profiles were enriched in responders. We further identified two gene expression signatures associated with cancer-intrinsic resistance, including increased interferon response genes and glucocorticoid response genes. Our findings are supported by experiments in another mouse model and clinical data from multiple ICB treatment cohorts. Our study emphasizes the importance of optimal microenvironment in cancer immunotherapy, and implicates the value of immunotherapy biomarkers that account for both cancer-intrinsic and -extrinsic mechanisms of resistance.

2020-07-01 | GSE139473 | GEO

Clonal tracing reveals the contribution of both cancer-intrinsic and -extrinsic mechanisms to the heterogeneity of responses to immune checkpoint blockade [RNA-seq_ICB]

2020-07-01 | GSE139475 | GEO

Clonal tracing reveals the contribution of both cancer-intrinsic and -extrinsic mechanisms to the heterogeneity of responses to immune checkpoint blockade [RNA-seq]

2020-07-01 | GSE139474 | GEO

Abbott2021 - Prediction of Immunotherapy Response in Melanoma through Combined Modeling of NB and Immune-Related Resistance Mechanisms

Project description:In this manuscript, the authors had hypothesized a multi-dimensional approach modeling of both tumor and immune-related molecular mechanisms would better predict immune checkpoint blockade (ICB) response than simpler mutation-focused biomarkers, such as tumor mutational burden (TMB). The authors showed that the predictive power increases with deeper modeling of neoantigens and immune-related resistance mechanisms of ICB. The neoantigen burden score (NBS) and composite neoantigen presentation score (NEOPS) mentioned in the transcript was fully reproduced. Internally they used XGBoost algorithm to generate the results and the same is provided as dataset file. That is, the dataset provided here demonstrates that their integrative approach outperformed single-analyte biomarkers such as those found in cohort of patients with late-stage melanoma. This model is now addresses the issues in reproducing itself which was caused by version changes and deprecation of some R packages. It uses checkpoint package, which acts as a time machine for CRAN packages thereby promoting FAIReR sharing of ML models.

2024-07-23 | MODEL2407210001 | BioModels

LC-MS/MS analysis of S100A1-interacting proteins

Project description:Immune checkpoint blockade (ICB) has revolutionized cancer treatment, but the therapeutic response is highly heterogeneous. A potential mode of resistance is tumor-intrinsic mechanisms leading to an immunosuppressive tumor microenvironment. However, the underlying interactive network remains elusive and the generalizable biomarkers and targeting strategies are still lacking. Here, we uncovered the potential of plasma S100 calcium-binding protein A1 (S100A1) in determining ICB efficacy based on liquid biopsy of patients with lung cancer. Muti-omics and functional studies suggested that tumor-intrinsic S100A1 expression correlates with an immunologically cold TME and resistance to ICB. Mechanistic investigations demonstrated that interfering with tumor-intrinsic S100A1/ubiquitin-specific protease 7/p65/granulocyte-macrophage colony-stimulating factor (GM-CSF) modulatory axis could potentiate an inflamed TME via promoting M1-like macrophage polarization and T cell function. GM-CSF priming was sufficient to enhance ICB response in tumors with high S100A1 expression. These findings defined S100A1 as a potential biomarker and a novel synergistic target for cancer immunotherapy.

2025-05-07 | PXD059275 | Pride

Immune checkpoint inhibitor monotherapy is sufficient to promote microenvironmental normalization via Type I interferon pathway in PD-L1+ expressing head and neck cancer

Project description:Immune checkpoint blockers (ICBs) targeting programmed death 1(PD-1) are considered effective first-line therapy against PD-1 ligand (PD-L1)-expressing head and neck squamous cell carcinoma (HNSCC). However, associated changes in tumor microenvironment (TME) and mechanisms remain elusive. Oral tumors in C57/BL6 mice were induced by administering 7,12-dimethylbenzanthracene into the buccal mucosa. Single-cell suspension was isolated from tumor tissue; proliferating cells were injected subcutaneously into the left flank of mice to establish Ajou Oral Cancer (AOC) cell lines. Subsequently, a syngeneic PD-L1-expressing HNSCC xenograft model was developed by injecting AOC cells into the buccal or tongue area. The model recapitulated human HNSCC molecular features and showed reliable in vivo tumorigenicity with significant PD-L1 expression. ICB monotherapy induced global changes in TME, including vascular normalization. Furthermore, the anti-tumor effect of ICB monotherapy was superior to those of other therapeutic agents, including cisplatin and anti-vascular endothelial growth factor receptor 2 inhibitors. The ICB-induced anti-tumorigenicity and TME normalization were alleviated by blocking the Type I interferon pathway.In summary, ICB monotherapy is sufficient to induce TME normalization in the syngeneic model; the Type-I interferon pathway is indispensable in realizing ICB effects. Furthermore, these results explain the underlying mechanism of the efficacy of ICB monotherapy against HNSCC expressing PD-L1 in the KEYNOTE-048 trial. This model can assist future research on HNSCC immunotherapy.

2023-12-01 | GSE248271 | 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