James L. Reading
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View article: Somatic evolution following cancer treatment in normal tissue
Somatic evolution following cancer treatment in normal tissue Open
The extent to which exogenous sources, including cancer treatment, contribute to somatic evolution in normal tissue remains unclear. Here we used high-depth duplex sequencing 1 (more than 30,000× coverage) to analyse 168 cancer-free sample…
View article: 187P Remodelling of MHC class II antigen presentation by malignant and premalignant epithelial cells during squamous lung carcinogenesis
187P Remodelling of MHC class II antigen presentation by malignant and premalignant epithelial cells during squamous lung carcinogenesis Open
View article: 178O A pan-tissue atlas of T cells during tumorigenesis reveals pre-cancer interception targets
178O A pan-tissue atlas of T cells during tumorigenesis reveals pre-cancer interception targets Open
View article: 22MO Exploiting neoantigen reactive CD8 T cell dysfunction to intercept lung squamous carcinogenesis
22MO Exploiting neoantigen reactive CD8 T cell dysfunction to intercept lung squamous carcinogenesis Open
View article: Subclonal immune evasion in non-small cell lung cancer
Subclonal immune evasion in non-small cell lung cancer Open
Cancers rarely respond completely to immunotherapy. While tumors consist of multiple genetically distinct clones, whether this affects the potential for immune escape remains unclear due to an inability to isolate and propagate individual …
View article: Regulatory T cell depletion promotes myeloid cell activation and glioblastoma response to anti-PD1 and tumor-targeting antibodies
Regulatory T cell depletion promotes myeloid cell activation and glioblastoma response to anti-PD1 and tumor-targeting antibodies Open
View article: Aberrant basal cell clonal dynamics shape early lung carcinogenesis
Aberrant basal cell clonal dynamics shape early lung carcinogenesis Open
Preinvasive squamous lung lesions are precursors of lung squamous cell carcinoma (LUSC). The cellular events underlying lesion formation are unknown. Using a carcinogen-induced model of LUSC with no added genetic hits or cell type bias, we…
View article: Regulatory T cell depletion promotes myeloid cell activation and glioblastoma response to anti-PD1 and tumor-targeting antibodies
Regulatory T cell depletion promotes myeloid cell activation and glioblastoma response to anti-PD1 and tumor-targeting antibodies Open
Glioblastoma is invariably lethal and responds poorly to immune checkpoint blockade. Here, we examined the impact of regulatory T (Treg) cell depletion on glioblastoma progression and immunotherapy responsiveness. In human glioblastoma, el…
View article: Clonal driver neoantigen loss under EGFR TKI and immune selection pressures
Clonal driver neoantigen loss under EGFR TKI and immune selection pressures Open
Neoantigen vaccines are under investigation for various cancers, including epidermal growth factor receptor ( EGFR )-driven lung cancers 1,2 . We tracked the phylogenetic history of an EGFR mutant lung cancer treated with erlotinib, osimer…
View article: ImmuneLENS characterizes systemic immune dysregulation in aging and cancer
ImmuneLENS characterizes systemic immune dysregulation in aging and cancer Open
View article: Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma
Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma Open
View article: 156O Pharmacologic inhibition of nonsense-mediated decay induces anti-tumour immunogenicity in ex vivo patient tumours
156O Pharmacologic inhibition of nonsense-mediated decay induces anti-tumour immunogenicity in ex vivo patient tumours Open
View article: A pan-cancer single-cell RNA-seq atlas of intratumoral B cells
A pan-cancer single-cell RNA-seq atlas of intratumoral B cells Open
Tumor-infiltrating B cells play a significant role in tumor development, progression, and prognosis, yet a comprehensive classification system is lacking. To address this gap, we present a pan-cancer single-cell RNA sequencing (scRNA-seq) …
View article: Tumour-intrinsic features shape T-cell differentiation through myeloma disease evolution
Tumour-intrinsic features shape T-cell differentiation through myeloma disease evolution Open
The haematological malignancy multiple myeloma is associated with skewed T-cell activation and function. T-cell alterations are detectable in asymptomatic myeloma precursor conditions and have the potential to identify precursor patients a…
View article: Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX
Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX Open
View article: Supplementary Figures 1-22 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Supplementary Figures 1-22 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Supplementary Figures 1-22 with the corresponding figure legends inline. Supplementary Figure S1. TRACERx 100 imaging mass cytometry cohort. Supplementary Figure S2. Analysis of imaging mass cytometry data. Supplementary Figure S3. Charact…
View article: Supplementary Tables 1-5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Supplementary Tables 1-5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Supplementary Table S1. Imaging mass cytometry antibody panel information. Supplementary Table S2. TRACERx 100 imaging mass cytometry cohort information. Supplementary Table S3. TRACERx 421 cohort information. Supplementary Table S4. Media…
View article: Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
IMC workflow defines the single-cell spatial landscape of the NSCLC tumor microenvironment. A, TRACERx 100 IMC cohort. We developed and applied two IMC antibody panels, Pan-immune and T cells and stroma, to tissue microarrays (TMA) …
View article: Figure 3 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 3 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Spatial features associated with neoantigen burden and immune low TMEs. A, Correlation of densities of spatial cellular communities and the burden of expressed clonal, subclonal and total neoantigens predicted to bind intact HLA all…
View article: TRACERx Consortium Members from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
TRACERx Consortium Members from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
All consortium members and their affiliations.
View article: Supplementary Figures 1-22 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Supplementary Figures 1-22 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Supplementary Figures 1-22 with the corresponding figure legends inline. Supplementary Figure S1. TRACERx 100 imaging mass cytometry cohort. Supplementary Figure S2. Analysis of imaging mass cytometry data. Supplementary Figure S3. Charact…
View article: Figure 2 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 2 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Four TME classes in NSCLC defined by immune composition in tumor nests and surrounding stroma. A, Tumor cores were classified into four TME classes, derived by clustering immune cell densities in the tumor nest and stroma. Only LUAD…
View article: Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
IMC workflow defines the single-cell spatial landscape of the NSCLC tumor microenvironment. A, TRACERx 100 IMC cohort. We developed and applied two IMC antibody panels, Pan-immune and T cells and stroma, to tissue microarrays (TMA) …
View article: Figure 5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil-rich TMEs are associated with activating mutations in PI3K and tumor-intrinsic CXCL8 upregulation. A, Representative crops of tumor-level H&E images with low TAN scores in the tumor nest and stroma (left) and high …
View article: Figure 2 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 2 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Four TME classes in NSCLC defined by immune composition in tumor nests and surrounding stroma. A, Tumor cores were classified into four TME classes, derived by clustering immune cell densities in the tumor nest and stroma. Only LUAD…
View article: Data from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Data from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Understanding the role of the tumor microenvironment (TME) in lung cancer is critical to improving patient outcomes. We identified four histology-independent archetype TMEs in treatment-naïve early-stage lung cancer using imaging mass cyto…
View article: TRACERx Consortium Members from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
TRACERx Consortium Members from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
All consortium members and their affiliations.
View article: Figure 3 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 3 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Spatial features associated with neoantigen burden and immune low TMEs. A, Correlation of densities of spatial cellular communities and the burden of expressed clonal, subclonal and total neoantigens predicted to bind intact HLA all…
View article: Figure 4 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 4 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil infiltration in LUSC is associated with distinct metabolic and immunosuppressive phenotypes. A, Gene Ontology (GO) biological processes enriched among upregulated genes in the TS:Neutrophil high TME class (n…
View article: Figure 6 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 6 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil infiltration is associated with recent subclonal expansion and poorer disease-free survival. A, Comparison of neutrophil cell density in primary tumors with metastasis-seeding clones detectable at time of surgery or durin…