Table S1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

Table S1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

<p>Differentially expressed genes in TCGA LUSC and LUAD patients with high versus low S_intra/immune</p>

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Váldodahkki:	Hanyun Zhang (15386757) (author)
Eará dahkkit:	Khalid AbdulJabbar (15113174) (author), David A. Moore (15386760) (author), Ayse Akarca (15046863) (author), Katey S.S. Enfield (15386763) (author), Mariam Jamal-Hanjani (15386766) (author), Shan E. Ahmed Raza (15113177) (author), Selvaraju Veeriah (15386769) (author), Roberto Salgado (15046878) (author), Nicholas McGranahan (15335234) (author), John Le Quesne (15386772) (author), Charles Swanton (14123052) (author), Teresa Marafioti (15043335) (author), Yinyin Yuan (15386775) (author)
Almmustuhtton:	2025
Fáttát:	Cancer Tumor Biology Methods and Technology Biostatistics Computational Methods Artificial intelligence & machine learning Lung Cancer Tumor Microenvironment Immune cells and the microenvironment
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Table S2 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma
Dahkki: Hanyun Zhang (15386757)
Almmustuhtton: (2025)

Suppl Data 2 from Whole Slide Imaging-Based Prediction of <i>TP53</i> Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer
Dahkki: Marija Pizurica (17060224)
Almmustuhtton: (2025)

Suppl. Data 1 from Whole Slide Imaging-Based Prediction of <i>TP53</i> Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer
Dahkki: Marija Pizurica (17060224)
Almmustuhtton: (2025)

Tables 2 from Tumor Microenvironment Modifications Induced by Afatinib in Squamous Cell Carcinoma of the Head and Neck: A Window-of-Opportunity Study (EORTC-90111–24111)
Dahkki: Simon P. Beyaert (17141915)
Almmustuhtton: (2025)

Tables 3 from Tumor Microenvironment Modifications Induced by Afatinib in Squamous Cell Carcinoma of the Head and Neck: A Window-of-Opportunity Study (EORTC-90111–24111)
Dahkki: Simon P. Beyaert (17141915)
Almmustuhtton: (2025)

Table S1 from Mesenchymal-like Tumor Cells and Myofibroblastic Cancer-Associated Fibroblasts Are Associated with Progression and Immunotherapy Response of Clear Cell Renal Cell Carcinoma
Dahkki: Guillaume Davidson (14964069)
Almmustuhtton: (2025)

Table S2 from Mesenchymal-like Tumor Cells and Myofibroblastic Cancer-Associated Fibroblasts Are Associated with Progression and Immunotherapy Response of Clear Cell Renal Cell Carcinoma
Dahkki: Guillaume Davidson (14964069)
Almmustuhtton: (2025)

Table S3 from Mesenchymal-like Tumor Cells and Myofibroblastic Cancer-Associated Fibroblasts Are Associated with Progression and Immunotherapy Response of Clear Cell Renal Cell Carcinoma
Dahkki: Guillaume Davidson (14964069)
Almmustuhtton: (2025)

Table S4 from Mesenchymal-like Tumor Cells and Myofibroblastic Cancer-Associated Fibroblasts Are Associated with Progression and Immunotherapy Response of Clear Cell Renal Cell Carcinoma
Dahkki: Guillaume Davidson (14964069)
Almmustuhtton: (2025)

Supplementary video from Phagocytosis of Glioma Cells Enhances the Immunosuppressive Phenotype of Bone Marrow–Derived Macrophages
Dahkki: Min Wu (14962986)
Almmustuhtton: (2025)

Table S1 from Phagocytosis of Glioma Cells Enhances the Immunosuppressive Phenotype of Bone Marrow–Derived Macrophages
Dahkki: Min Wu (14962986)
Almmustuhtton: (2025)

Table S2 from Phagocytosis of Glioma Cells Enhances the Immunosuppressive Phenotype of Bone Marrow–Derived Macrophages
Dahkki: Min Wu (14962986)
Almmustuhtton: (2025)

Table S3 from Phagocytosis of Glioma Cells Enhances the Immunosuppressive Phenotype of Bone Marrow–Derived Macrophages
Dahkki: Min Wu (14962986)
Almmustuhtton: (2025)

Supplementary Figures 1 from Spatial Immunoprofiling of Adenoid Cystic Carcinoma Reveals B7-H4 Is a Therapeutic Target for Aggressive Tumors
Dahkki: Luana Guimaraes Sousa (16534377)
Almmustuhtton: (2025)

Supplementary file 3: Supplementary Tables. from circFNDC3B Accelerates Vasculature Formation and Metastasis in Oral Squamous Cell Carcinoma
Dahkki: Xiang Li (15386727)
Almmustuhtton: (2025)

Additional file 1 of Global Insights on Wearable Technology Adoption by Coaches: Determinants of Current Use, Decision Making, and Future Intention To Use
Dahkki: Peter Düking (12336498)
Almmustuhtton: (2025)

Supplemental Fig. 1 from The GENIE BPC NSCLC Cohort: A Real-World Repository Integrating Standardized Clinical and Genomic Data for 1,846 Patients with Non–Small Cell Lung Cancer
Dahkki: Noura J. Choudhury (15029759)
Almmustuhtton: (2025)

Supplemental Fig. 2 from The GENIE BPC NSCLC Cohort: A Real-World Repository Integrating Standardized Clinical and Genomic Data for 1,846 Patients with Non–Small Cell Lung Cancer
Dahkki: Noura J. Choudhury (15029759)
Almmustuhtton: (2025)

Supplemental Fig. 3 from The GENIE BPC NSCLC Cohort: A Real-World Repository Integrating Standardized Clinical and Genomic Data for 1,846 Patients with Non–Small Cell Lung Cancer
Dahkki: Noura J. Choudhury (15029759)
Almmustuhtton: (2025)

Figure 1 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025)

Figure 2 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025)

Figure 3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025)

Figure 4 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025)

Figure 5 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025)

Figure 6 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025)

Supplementary Table S1-S3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025)

Table 1 from Addressing Common Misuses and Pitfalls of <i>P</i> values in Biomedical Research
Dahkki: Ming Wang (8809334)
Almmustuhtton: (2025)

Supplemental Tables 1-8 from Colorectal Cancer Metastases in the Liver Establish Immunosuppressive Spatial Networking between Tumor-Associated <i>SPP1</i><sup>+</sup> Macrophages and Fibroblasts
Dahkki: Anuja Sathe (15028097)
Almmustuhtton: (2025)

Figure 1 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Figure 2 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Figure 3 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Figure 4 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Figure 5 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Figure 6 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Figure 7 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Figure S1 from Estimation of Neutral Mutation Rates and Quantification of Somatic Variant Selection Using cancereffectsizeR
Dahkki: Jeffrey D. Mandell (14963909)
Almmustuhtton: (2025)

Supplementary Table S1 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Supplementary Table S2 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Supplementary Table S3 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

Supplementary Table S4 from Extracellular Vesicle Secretion by Leukemia Cells <i>In Vivo</i> Promotes CLL Progression by Hampering Antitumor T-cell Responses
Dahkki: Ernesto Gargiulo (15134961)
Almmustuhtton: (2025)

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