Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The immunopeptidome landscape associated with T cell infiltration, inflammation and immune-editing in lung cancer

ABSTRACT: One key barrier to improving efficacy of personalized cancer immunotherapies that are dependent on the tumor antigenic landscape remains patient stratification. While patients with CD3+CD8+ T cell inflamed tumors typically show better response to immune checkpoint inhibitors, it is still unknown if the repertoire of HLA bound peptides presented in highly inflamed and non-inflamed tumors is substantially different. We surveyed 61 tumor regions and adjacent non-malignant lung tissues from eight lung cancer patients and performed deep antigen discovery combining immunopeptidomics, genomics, bulk and spatial transcriptomics and explored the heterogeneous expression and presentation of tumor (neo)antigens. Here we associated diverse immune cell populations with the immunopeptidome in CD3+CD8+ T cell excluded, infiltrated, highly- and lowly-inflamed tumors. We found evidence for lower immune-editing and higher presentation efficiency of tumor-associated antigens in lowly-inflamed and CD3+CD8+ T cell excluded tumors. This could have implications for the choice of combination therapies tailored to the patient’s mutanome and microenvironment.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Lung

SUBMITTER: Michal Bassani-Sternberg

LAB HEAD: Michal Bassani-Sternberg

PROVIDER: PXD034772 | Pride | 2023-03-21

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	20180309_QE_HFX_LC2_HLAIIp_CHC_SA_tumC3N02289_4_5_R1.raw	Raw
	20180309_QE_HFX_LC2_HLAIIp_CHC_SA_tumC3N02289_4_5_R2.raw	Raw
	20180309_QE_HFX_LC2_HLAIIp_CHC_SA_tumC3N02289_4_5_R3.raw	Raw
	20180309_QE_HFX_LC2_HLAIp_CHC_SA_tumC3N02289_4_5_R1.raw	Raw
	20180309_QE_HFX_LC2_HLAIp_CHC_SA_tumC3N02289_4_5_R2.raw	Raw

Items per page:

1 - 5 of 355

Similar Datasets

Mapping the soluble human leukocyte antigen peptidome of pleural effusions reveals lung and tumor-associated antigens

Project description:Soluble HLA (sHLA) molecules released to the plasma, carry their original peptide cargo and provide insight into the protein synthesis and degradation schemes of their source cells and tissues. Other body fluids, such as pleural effusions, may also contain sHLA-peptide complexes, and can potentially serve as a source of tumor antigens since these fluids are drained from the tumor microenvironment. Thus, we developed a methodology for purifying and analysing large pleural effusion sHLA class I peptidomes of patients inflicted with malignancies or benign diseases. The cleared pleural fluids, the cell pellets present in the pleural effusions, and the primary tumor cells cultured from cancer patients’ effusions, were used for immunoaffinity purification of the HLA molecules. The recovered HLA peptides were analyzed by capillary chromatography coupled to tandem mass spectrometry and the resulting LC-MS/MS data was analyzed with the MaxQuant software tool. Large HLA peptidomes were obtained by the analysis of the pleural effusions. The majority of peptides identified from the pleural effusions were defined as HLA ligands that fit the patients’ HLA consensus sequence motifs. The membranal and soluble HLA peptidomes of each individual patient were somewhat similar to each other. Many of the HLA peptides were derived from known tumor-associated antigens, lung-related proteins, and VEGF pathway proteins. Thus, the pleural effusion HLA peptidome of patients with malignant tumors can serve as a rich source of biomarkers for tumor diagnosis and personalized immunotherapy.

2022-05-25 | PXD027766 | Pride

NeoDisc: A neoantigen discovery pipeline for the development of personalized cancer immunotherapy

Project description:The accurate identification and prioritization of antigenic peptides presented by class-I and -II human leukocyte antigens (HLA-I and -II) recognized by autologous T cells is crucial for the development of cancer immunotherapies. While several clinical neoantigen prediction pipelines are now publicly available, none of them allows the direct integration of mass spectrometry immunopeptidomics data that can uncover antigenic peptides derived from various canonical and non-canonical sources. Therefore, we have developed and shared a unique ‘end-to-end’ clinical proteo-genomic pipeline, called NeoDisc. NeoDisc is a fast and modular computational pipeline that combines state-of-the-art publicly available and in-house software for genomics, transcriptomics, mass-spectrometry-based immunopeptidomics, and in silico tools for the identification, prediction, and prioritization of tumor-specific and immunogenic antigens from multiple sources. We demonstrated the application of NeoDisc for personalized antigen discovery, in the context of heterogenic antigenic landscape and defective cellular antigen presentation machineries, and we highlighted its clinical implementation.

2024-08-30 | PXD047641 | Pride

Genomic Fingerprints of DC Subsets in the Human Vaginal Mucosa, Skin, and Blood

Project description:Dendritic cells (DC) localize throughout the body, where they sense and capture invading pathogens to induce protective immune responses. Hence, harnessing the biology of tissue-resident DC is crucial for the rational design of vaccines against pathogens. Herein, we characterized the transcriptomes of four antigen presenting cell (APC) subsets from the human vagina (vLC, vCD14- DC, vCD14+ DC, vMM-NM-&) and compared them to those of three skin DC (sDC) subsets and blood myeloid DC. We find that APC genomic fingerprints are significantly influenced by the tissue of origin as well as by individual APC subsets. Nonetheless, CD14+ APC from both vagina and skin are geared towards innate immunity and pro-inflammatory responses, whereas CD14- DC, particularly sLC, vLC, and vCD14- DC, display both Th2-inducing and regulatory phenotypes. We also identified vAPC subset-specific cellular and functional biomarkers that will guide the design of mucosal vaccines against sexually transmitted pathogens. Vaginal and skin tissues were obtained from female patients who underwent pelvic or cosmetic surgeries under protocols approved by the Institutional Review Board (IRB) of Baylor Research Institute (BRI). Patients were not infected with HIV, HCV or TB and did not display inflammation in the tissues. No other diagnosis information was available. Blood from healthy female volunteers was obtained under a protocol approved by the IRB of BRI. 87 total samples. 6 Blood mDC; 16 Dermal CD1c+CD14-; 10 Epidermal LC; 12 Vaginal CD1c+CD14-; 13 Vaginal CD1c+CD14+; 7 Vaginal HLADR- w/ 2 replicates (Vaginal HLADR-_VM610 and Vaginal HLADR-_VM611); 9Vaginal LC; 14 Vaginal Macrophage.

2014-12-17 | E-GEOD-54480 | biostudies-arrayexpress

Unsupervised mining of HLA-I peptidomes reveals unsuspected false positives and new binding motifs

Project description:Modern antigen vaccine designs and studies of human leukocyte antigen (HLA)-mediated immune responses rely heavily on the knowledge of HLA allele-specific binding motifs and computational prediction of antigen-HLA binding affinity. Breakthroughs in HLA peptidomics have considerably expanded the databases of natural HLA antigens and enabled detailed characterizations of antigen-HLA binding specificity. However, cautions must be made when analyzing HLA peptidomics data because identified peptides may be contaminants or may weakly bind to the HLA molecules. Here, a hybrid de novo peptide sequencing approach was applied to large-scale mono-allelic HLA peptidomics datasets to uncover new antigens and refine current knowledge of HLA binding motifs. Up to 12-40% contaminations in the form of tryptic peptides were identified in the peptidomics data of HLA alleles whose binding motifs do not involve an arginine or a lysine at the C-terminus. Thousands of these peptides were reported in a community database as positive antigens and might be erroneously used to train prediction models. Furthermore, unsupervised clustering of identified antigens not only revealed additional binding motifs for several HLA class I alleles but also effectively isolated outliers which were confirmed to be false positives in a binding experiment. Overall, our findings expanded the knowledge of HLA binding specificity and indicated that a more careful HLA peptidomics data interpretation protocol is needed to ensure the high quality of community antigen databases.

2021-09-17 | PXD028088 | Pride

Gene expression profiles of CD4 T cells and CD45+ HLA-DR+ cells during experimental allergic rhinitis in humans.

Project description:Six patients with seasonal allergic rhinitis were challenged daily for 8 days with birch pollen extract. A mucosal biopsy was obtained from one nostril at basline (day 0) and from the other nostril after allergen challenge (day 9). The mucosal biopsies were digested into single cells, and then sorted into CD4 T cells and CD45+HLA-DR+ cells. Total RNA was extracted, amplified using whole transcriptome amplification, and gene expression was profiled on microarrays. The study design consisted of 6 subjects, 2 cell types (CD4 T cells, CD45+ HLA-DR+ cells), and 2 conditions (baseline, allergen challenge).

2015-09-01 | E-GEOD-49782 | biostudies-arrayexpress

Proteogenomic analysis unveils the expression of cancer associated and specific antigen-derived HLA Class ǀ immunopeptides in melanoma and EGFR mutant lung adenocarcinoma

Project description:Immunotherapy has shown great therapeutic potential for cancers with high tumor mutational burden (TMB), but much less promise for cancers with low TMB. One primary approach for adoptive lymphocyte transfer-based immunotherapy is to target the somatic mutated peptide neoantigens and cancer testis (CT) antigens recognized by cytotoxic T cells. Here, we employed mass spectrometry (MS)-based proteogenomic large-scale profiling to identify potential immunogenic human leukocyte antigen (HLA) Class ǀ- associated peptides in both melanoma, a “hot tumor”, and EGFR mutant lung adenocarcinoma, a “cold tumor”. We uncovered 19 common driver oncogene-derived peptides and more than 1000 post-translationally modified peptides (PTM) representing 58 different PTMs. We constructed a CT antigen database with 286 antigens by compiling reputed CT antigen resources and “in-house” genomic data and used this to identify 45 CT antigen-derived peptides from the identified HLA peptidome. Using integrated next generation sequencing data, we discovered 12 neopeptides in EGFR mutant lung cancer cell lines. Finally, we report a novel approach for non-canonical peptide discovery, whereby we leveraged a deep learning-based de novo search and a high confidence annotated long noncoding RNA (LncRNA) database to identify 44 lncRNA-derived peptides. Findings of this study, for the first time, provide evidence for a large pool of actionable cancer antigen-derived peptides for use in mutant EGFR lung cancer immunotherapy.

2021-12-07 | PXD019774 | Pride

Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma

Project description:HLA class I ligandome dataset obtained from hepatocellular carcinoma (HCC) as well as corresponding adjacent benign liver tissue (n=16) characterizing respective HLA immunoprecipitates. Additionally, from a subset of the mentioned HCC/ adjacent benign liver samples datasets gained from shotgun protein identification, comprising HCC as well as adjacent benign liver tissue (n=7) are provided. Further, for one patient shotgun protein identification was also performed in serum (blood) samples obtained after HCC recurrence.

2019-05-06 | PXD013057 | Pride

Proteogenomic analysis unveils the HLA Class I presented immunopeptidome in melanoma and EGFR mutant lung adenocarcinoma

Project description:Immune checkpoint inhibitor and adoptive lymphocyte transfer-based therapies have shown great therapeutic potential for cancers with high tumor mutation burden (TMB). Here, we employed mass spectrometry (MS)-based proteogenomic large-scale profiling to identify potential immunogenic human leukocyte antigen (HLA) Class ǀ-presented peptides in both melanoma, a “hot tumor” with high TMB, and EGFR mutant lung adenocarcinoma, a “cold tumor” with low TMB. We used cell line and patient-specific databases constructed using variants identified from whole-exome sequencing, as well as a de novo search algorithm from the PEAKS search algorithm to interrogate the mass spectrometry data of the Class I immunopeptidome. We identified 12 mutant neoantigens. Several classes of tumor-associated antigen-derived peptides were also identified. We constructed a cancer germline (CG) antigen database with 285 antigens and identified 42 Class I-presented CG antigens. We identified more than 1000 post-translationally modified (PTM) peptides representing 58 different PTMs. Our results suggest that PTMs play a critical role impacting HLA-binding affinity dramatically. Finally, leveraging de novo search and an annotated lncRNA database, we developed a novel non-canonical peptide discovery pipeline to identify 44 lncRNA-derived peptides that are presented by Class I. We validated MS/MS spectra of select peptides using synthetic peptides and performed HLA Class I binding assays to demonstrate binding of select neo-peptides and lncRNA-derived peptides to Class I proteins. In summary, we provide direct evidence of HLA Class I presentation of a large number of mutant and tumor-associated peptides for potential use as vaccine or adoptive cell therapy in melanoma and EGFR mutant lung cancer.

2021-08-23 | PXD022949 | Pride

The landscape of the SARS-CoV-2 HLA-peptidome

Project description:The human leukocyte antigen (HLA)-bound-viral antigens, serve as an immunological signature that can be selectively recognized by T cells. As viruses evolve by acquiring mutations, it is essential to identify a range of viral presented antigens. Utilizing HLA-peptidomics we Identified SARS-CoV-2-derived peptides presented by highly prevalent HLA Class-I (HLA-I) molecules using infected cells as well as overexpression of SARS-CoV-2 genes. We found 26 HLA-I peptides and 36 HLA class-II (HLA-II) peptides, which are estimated to be presented by at least one HLA allele in 99% of the world population. Among the identified peptides were recurrently presented HLA-I peptides, peptides derived from out-of-frame-ORFs and presentation-hotspots. Seven of these peptides were previously shown to be immunogenic, and we identified two novel immuno-reactive peptides using HLA-multimer staining. These results may aid the development of the next generation of SARS-CoV-2 vaccines based on viral-specific-presented antigens that span several of the viral genes.

2021-09-10 | PXD023614 | Pride

The landscape of the SARS-CoV-2 HLA-peptidome

2021-06-28 | PXD025499 | Pride