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Publications by C. Galeone

MA04.07 MicroRNA-Based Liquid Biopsy Combines With PD-L1 Tumor Expression to Predict Response to Immunotherapy in Advance NSCLC Patients

Journal of Thoracic Oncology

English

Comparison of Manual Methods of Extracting Genomic DNA From Dried Blood Spots Collected on Different Cards: Implications for Clinical Practice

International Journal of Immunopathology and Pharmacology

English

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Automated Image Analysis of NSCLC Biopsies to Predict Response to Anti-Pd-L1 Therapy

Journal for ImmunoTherapy of Cancer

English

Circulating microRNAs and PD-L1 Tumor Expression Are Associated With Survival in Advanced NSCLC Patients Treated With Immunotherapy: A Prospective Study

Clinical Cancer Research

Cancer Research

Oncology

2019

English

P1.04-16 Comparison of Clinical Response to Checkpoint Inhibitors in Advanced NSCLC With High PD-L1 Expression Tested on Cytology Versus Biopsy Samples

Journal of Thoracic Oncology

English

PD-L1 Expression and Combined Status of PD-L1/PD-1–Positive Tumor Infiltrating Mononuclear Cell Density Predict Prognosis in Glioblastoma Patients

Journal of Pathology and Translational Medicine

English

MA19.02 Prior Therapy and Increased Expression of PD-L1 in NSCLC Tumor Samples

Journal of Thoracic Oncology

English

P1.04-11 Exploring the Germ-Line Contribution to Exceptional Response to PD-1/PD-L1 Inhibition in Patients With NSCLC by Whole Genome Sequencing

Journal of Thoracic Oncology

English

Prognostic Impact of Tumor Cell PD-L1 Expression and Immune Cell Infiltration in NSCLC

Journal of Thoracic Oncology

English

Dynamic Metrics-Based Biomarkers to Predict Responders to Anti-Pd-1 Immunotherapy

British Journal of Cancer

Cancer Research

Oncology

2018

English

MA09.09 EBUS-TBNA in Assessing PD-L1 Expression in NSCLC

Journal of Thoracic Oncology

English

Amanote Research

Discover open access scientific publications

Search, annotate, share and cite publications

Publications by C. Galeone

MA04.07 MicroRNA-Based Liquid Biopsy Combines With PD-L1 Tumor Expression to Predict Response to Immunotherapy in Advance NSCLC Patients

Comparison of Manual Methods of Extracting Genomic DNA From Dried Blood Spots Collected on Different Cards: Implications for Clinical Practice

Related publications

Automated Image Analysis of NSCLC Biopsies to Predict Response to Anti-Pd-L1 Therapy

Circulating microRNAs and PD-L1 Tumor Expression Are Associated With Survival in Advanced NSCLC Patients Treated With Immunotherapy: A Prospective Study

P1.04-16 Comparison of Clinical Response to Checkpoint Inhibitors in Advanced NSCLC With High PD-L1 Expression Tested on Cytology Versus Biopsy Samples

PD-L1 Expression and Combined Status of PD-L1/PD-1–Positive Tumor Infiltrating Mononuclear Cell Density Predict Prognosis in Glioblastoma Patients

MA19.02 Prior Therapy and Increased Expression of PD-L1 in NSCLC Tumor Samples

P1.04-11 Exploring the Germ-Line Contribution to Exceptional Response to PD-1/PD-L1 Inhibition in Patients With NSCLC by Whole Genome Sequencing

Prognostic Impact of Tumor Cell PD-L1 Expression and Immune Cell Infiltration in NSCLC

Dynamic Metrics-Based Biomarkers to Predict Responders to Anti-Pd-1 Immunotherapy

MA09.09 EBUS-TBNA in Assessing PD-L1 Expression in NSCLC