Pathway signatures derived from on-treatment tumor specimens predict response to anti-PD1 blockade in metastatic melanoma
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Pathway signatures derived from on-treatment tumor specimens predict response to anti-PD1 blockade in metastatic melanoma
Authors
Keywords
-
Journal
Nature Communications
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-10-15
DOI
10.1038/s41467-021-26299-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasets
- (2021) Xu Xiao et al. Nature Communications
- Reply to: “Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasets”
- (2021) Donghai Xiong et al. Nature Communications
- Peripheral CD8+ T cell characteristics associated with durable responses to immune checkpoint blockade in patients with metastatic melanoma
- (2020) Benjamin P. Fairfax et al. NATURE MEDICINE
- Transcriptional downregulation of MHC class I and melanoma de- differentiation in resistance to PD-1 inhibition
- (2020) Jenny H. Lee et al. Nature Communications
- A peripheral immune signature of responsiveness to PD-1 blockade in patients with classical Hodgkin lymphoma
- (2020) Fathima Zumla Cader et al. NATURE MEDICINE
- Predicting and affecting response to cancer therapy based on pathway-level biomarkers
- (2020) Rotem Ben-Hamo et al. Nature Communications
- The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies
- (2020) Shogo Kumagai et al. NATURE IMMUNOLOGY
- A gene expression signature of TREM2hi macrophages and γδ T cells predicts immunotherapy response
- (2020) Donghai Xiong et al. Nature Communications
- A single dose of neoadjuvant PD-1 blockade predicts clinical outcomes in resectable melanoma
- (2019) Alexander C. Huang et al. NATURE MEDICINE
- Distinct Immune Cell Populations Define Response to Anti-PD-1 Monotherapy and Anti-PD-1/Anti-CTLA-4 Combined Therapy
- (2019) Tuba N. Gide et al. CANCER CELL
- Pembrolizumab versus ipilimumab in advanced melanoma (KEYNOTE-006): post-hoc 5-year results from an open-label, multicentre, randomised, controlled, phase 3 study
- (2019) Caroline Robert et al. LANCET ONCOLOGY
- Proteomics of Melanoma Response to Immunotherapy Reveals Mitochondrial Dependence
- (2019) Michal Harel et al. CELL
- Five-Year Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma
- (2019) James Larkin et al. NEW ENGLAND JOURNAL OF MEDICINE
- IMPRES does not reproducibly predict response to immune checkpoint blockade therapy in metastatic melanoma
- (2019) Jason A. Carter et al. NATURE MEDICINE
- Reply to: ‘IMPRES does not reproducibly predict response to immune checkpoint blockade therapy in metastatic melanoma’
- (2019) Noam Auslander et al. NATURE MEDICINE
- Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma
- (2019) David Liu et al. NATURE MEDICINE
- T cell–induced CSF1 promotes melanoma resistance to PD1 blockade
- (2018) Natalie J. Neubert et al. Science Translational Medicine
- MHC proteins confer differential sensitivity to CTLA-4 and PD-1 blockade in untreated metastatic melanoma
- (2018) Scott J. Rodig et al. Science Translational Medicine
- Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
- (2018) Peng Jiang et al. NATURE MEDICINE
- Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma
- (2018) Noam Auslander et al. NATURE MEDICINE
- Acquired cancer resistance to combination immunotherapy from transcriptional loss of class I HLA
- (2018) K. G. Paulson et al. Nature Communications
- A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade
- (2018) Livnat Jerby-Arnon et al. CELL
- Pan-tumor genomic biomarkers for PD-1 checkpoint blockade–based immunotherapy
- (2018) Razvan Cristescu et al. SCIENCE
- Pathway-based subnetworks enable cross-disease biomarker discovery
- (2018) Syed Haider et al. Nature Communications
- IFN-γ–related mRNA profile predicts clinical response to PD-1 blockade
- (2017) Mark Ayers et al. JOURNAL OF CLINICAL INVESTIGATION
- Ki67 Proliferation Index as a Tool for Chemotherapy Decisions During and After Neoadjuvant Aromatase Inhibitor Treatment of Breast Cancer: Results From the American College of Surgeons Oncology Group Z1031 Trial (Alliance)
- (2017) Matthew J. Ellis et al. JOURNAL OF CLINICAL ONCOLOGY
- Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy
- (2017) Diego Chowell et al. SCIENCE
- Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy
- (2017) Teresa Davoli et al. SCIENCE
- Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance
- (2017) Whijae Roh et al. Science Translational Medicine
- Genomic landscape associated with potential response to anti-CTLA-4 treatment in cancers
- (2017) Chan-Young Ock et al. Nature Communications
- Ex Vivo Profiling of PD-1 Blockade Using Organotypic Tumor Spheroids
- (2017) Russell W. Jenkins et al. Cancer Discovery
- Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma
- (2016) Willy Hugo et al. CELL
- The Tumor Microenvironment Represses T Cell Mitochondrial Biogenesis to Drive Intratumoral T Cell Metabolic Insufficiency and Dysfunction
- (2016) Nicole E. Scharping et al. IMMUNITY
- Prolonged Survival in Stage III Melanoma with Ipilimumab Adjuvant Therapy
- (2016) Alexander M.M. Eggermont et al. NEW ENGLAND JOURNAL OF MEDICINE
- Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade
- (2016) N. McGranahan et al. SCIENCE
- Melanoma-specific MHC-II expression represents a tumour-autonomous phenotype and predicts response to anti-PD-1/PD-L1 therapy
- (2016) Douglas B. Johnson et al. Nature Communications
- Analysis of Immune Signatures in Longitudinal Tumor Samples Yields Insight into Biomarkers of Response and Mechanisms of Resistance to Immune Checkpoint Blockade
- (2016) P.-L. Chen et al. Cancer Discovery
- Molecular and Genetic Properties of Tumors Associated with Local Immune Cytolytic Activity
- (2015) Michael S. Rooney et al. CELL
- Accurate Prediction and Validation of Response to Endocrine Therapy in Breast Cancer
- (2015) Arran K. Turnbull et al. JOURNAL OF CLINICAL ONCOLOGY
- Robust enumeration of cell subsets from tissue expression profiles
- (2015) Aaron M Newman et al. NATURE METHODS
- Nivolumab in Previously Untreated Melanoma without BRAF Mutation
- (2015) Caroline Robert et al. NEW ENGLAND JOURNAL OF MEDICINE
- Genomic correlates of response to CTLA-4 blockade in metastatic melanoma
- (2015) E. M. Van Allen et al. SCIENCE
- Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer
- (2015) N. A. Rizvi et al. SCIENCE
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- PD-1 blockade induces responses by inhibiting adaptive immune resistance
- (2014) Paul C. Tumeh et al. NATURE
- Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma
- (2014) Alexandra Snyder et al. NEW ENGLAND JOURNAL OF MEDICINE
- featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
- (2013) Y. Liao et al. BIOINFORMATICS
- GSVA: gene set variation analysis for microarray and RNA-Seq data
- (2013) Sonja Hänzelmann et al. BMC BIOINFORMATICS
- STAR: ultrafast universal RNA-seq aligner
- (2012) Alexander Dobin et al. BIOINFORMATICS
- A combined oncogenic pathway signature ofBRAF,KRASandPI3KCAmutation improves colorectal cancer classification and cetuximab treatment prediction
- (2012) Sun Tian et al. GUT
- Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
- (2012) Davis J. McCarthy et al. NUCLEIC ACIDS RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now