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PD-1 transcriptomic landscape across cancers and implications for immune checkpoint blockade outcome
by
Pabla, Sarabjot
, Kato, Shumei
, Chen, Hui-Zi
, Nesline, Mary K.
, Conroy, Jeffrey M.
, Kim, Na Hyun
, Nishizaki, Daisuke
, DePietro, Paul
, Kurzrock, Razelle
in
631/154/53/2423
/ 692/53/2422
/ 692/699/67/580
/ Antigens
/ Apoptosis
/ Bile ducts
/ Bioinformatics
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ CD223 antigen
/ Cell death
/ Clinical outcomes
/ CTLA-4 protein
/ Disease management
/ Endometrial cancer
/ FDA approval
/ Gene Function
/ Gene Therapy
/ Genomics
/ Human Genetics
/ Immune checkpoint inhibitors
/ Immune system
/ Immunotherapy
/ Internal Medicine
/ Kinases
/ Ligands
/ Liver cancer
/ Lung cancer
/ Lymphocytes
/ Malignancy
/ Medicine
/ Melanoma
/ Metastases
/ Ovarian cancer
/ Pancreatic cancer
/ Patients
/ PD-1 protein
/ Proteins
/ T cell receptors
/ Transcriptomics
/ Tumors
2025
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PD-1 transcriptomic landscape across cancers and implications for immune checkpoint blockade outcome
by
Pabla, Sarabjot
, Kato, Shumei
, Chen, Hui-Zi
, Nesline, Mary K.
, Conroy, Jeffrey M.
, Kim, Na Hyun
, Nishizaki, Daisuke
, DePietro, Paul
, Kurzrock, Razelle
in
631/154/53/2423
/ 692/53/2422
/ 692/699/67/580
/ Antigens
/ Apoptosis
/ Bile ducts
/ Bioinformatics
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ CD223 antigen
/ Cell death
/ Clinical outcomes
/ CTLA-4 protein
/ Disease management
/ Endometrial cancer
/ FDA approval
/ Gene Function
/ Gene Therapy
/ Genomics
/ Human Genetics
/ Immune checkpoint inhibitors
/ Immune system
/ Immunotherapy
/ Internal Medicine
/ Kinases
/ Ligands
/ Liver cancer
/ Lung cancer
/ Lymphocytes
/ Malignancy
/ Medicine
/ Melanoma
/ Metastases
/ Ovarian cancer
/ Pancreatic cancer
/ Patients
/ PD-1 protein
/ Proteins
/ T cell receptors
/ Transcriptomics
/ Tumors
2025
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PD-1 transcriptomic landscape across cancers and implications for immune checkpoint blockade outcome
by
Pabla, Sarabjot
, Kato, Shumei
, Chen, Hui-Zi
, Nesline, Mary K.
, Conroy, Jeffrey M.
, Kim, Na Hyun
, Nishizaki, Daisuke
, DePietro, Paul
, Kurzrock, Razelle
in
631/154/53/2423
/ 692/53/2422
/ 692/699/67/580
/ Antigens
/ Apoptosis
/ Bile ducts
/ Bioinformatics
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ CD223 antigen
/ Cell death
/ Clinical outcomes
/ CTLA-4 protein
/ Disease management
/ Endometrial cancer
/ FDA approval
/ Gene Function
/ Gene Therapy
/ Genomics
/ Human Genetics
/ Immune checkpoint inhibitors
/ Immune system
/ Immunotherapy
/ Internal Medicine
/ Kinases
/ Ligands
/ Liver cancer
/ Lung cancer
/ Lymphocytes
/ Malignancy
/ Medicine
/ Melanoma
/ Metastases
/ Ovarian cancer
/ Pancreatic cancer
/ Patients
/ PD-1 protein
/ Proteins
/ T cell receptors
/ Transcriptomics
/ Tumors
2025
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PD-1 transcriptomic landscape across cancers and implications for immune checkpoint blockade outcome
Journal Article
PD-1 transcriptomic landscape across cancers and implications for immune checkpoint blockade outcome
2025
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Overview
Programmed cell death protein 1 (PD-1) is a critical immune checkpoint receptor and a target for cancer immune checkpoint inhibitors (ICI). We investigated PD-1 transcript expression across cancer types and its correlations to clinical outcomes. Using a reference population, PD-1 expression was calculated as percentiles in 489 of 514 patients (31 cancer types) with advanced/metastatic disease. PD-1 RNA expression varied across and within cancer types; pancreatic and liver/bile duct malignancies displayed the highest rates of high PD-1 (21.82% and 21.05%, respectively). Elevated CTLA-4, LAG-3, and TIGIT RNA expression were independently correlated with high PD-1. Although high PD-1 was not associated with outcome in immunotherapy-naïve patients (n = 272), in patients who received ICIs (n = 217), high PD-1 transcript expression was independently correlated with prolonged survival (hazard ratio 0.40; 95%CI, 0.18–0.92). This study identifies PD-1 as an important biomarker in predicting ICI outcomes, and advocates for comprehensive immunogenomic profiling in cancer management.
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