From Cancer Therapy Advisor by Susan Moench, PhD, PA-C
Prospective assessments of 2 RNA sequencing inflammatory signature scores, an 18-gene T-cell–inflamed gene expression profile (GEP), as well as a 37-gene tissue-resident memory (TRM) T-cell signature, both measured at baseline, as predictors of response to the programmed cell death 1 (PD-1) inhibitor, pembrolizumab, for patients with metastatic triple-negative breast cancer enrolled in the KEYNOTE-086 trial (ClinicalTrials.gov Identifier: NCT02447003) showed associations between both assays and clinical outcomes. The findings from this study were reported at the American Association for Cancer Research (AACR) Annual Meeting 2019.
(read more…)
From Cancer Therapy Advisor by Susan Moench, PhD, PA-C
Prospective assessments of 2 RNA sequencing inflammatory signature scores, an 18-gene T-cell–inflamed gene expression profile (GEP), as well as a 37-gene tissue-resident memory (TRM) T-cell signature, both measured at baseline, as predictors of response to the programmed cell death 1 (PD-1) inhibitor, pembrolizumab, for patients with metastatic triple-negative breast cancer enrolled in the KEYNOTE-086 trial (ClinicalTrials.gov Identifier: NCT02447003) showed associations between both assays and clinical outcomes. The findings from this study were reported at the American Association for Cancer Research (AACR) Annual Meeting 2019.
(read more…)
Related Posts
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Unlocking the past – new method helps gain insights into old tissue
Novel AI model trained on RNA-Seq data accurately detects key gene mutations and predicts biomarkers across 32 cancer types
Transcriptomic aging clock reveals age-related molecular patterns in opioid dependence
RNA sequencing helps predict stem cell transplant benefit in pediatric AML
Protein ‘switch’ determines whether liposarcoma cells will become aggressive
Precursor tRNAs sense temperature changes: heat stress-induced capped pre-tRNAs suppress protein synthesis
Ketamine increases neuroplasticity in female mice but not in males
Somatic mutations linked to vascular damage in progeria
Scientists map dormant cancer cells’ hideouts, opening new targets for treatment
Soluble signals released by neighboring cells direct how the human kidney is built
Genetics influence how cancer arises – and how it evolves
RNA-based testing uncovers extraordinary diversity in mutations driving lung cancer
Study offers new insights into why ex-smokers remain at elevated risk of lung disease
Learning the grammar of gene regulation
New findings could transform new treatment for rare brain tumor astroblastoma
From Cancer Therapy Advisor by Susan Moench, PhD, PA-C
Prospective assessments of 2 RNA sequencing inflammatory signature scores, an 18-gene T-cell–inflamed gene expression profile (GEP), as well as a 37-gene tissue-resident memory (TRM) T-cell signature, both measured at baseline, as predictors of response to the programmed cell death 1 (PD-1) inhibitor, pembrolizumab, for patients with metastatic triple-negative breast cancer enrolled in the KEYNOTE-086 trial (ClinicalTrials.gov Identifier: NCT02447003) showed associations between both assays and clinical outcomes. The findings from this study were reported at the American Association for Cancer Research (AACR) Annual Meeting 2019.
(read more…)
Related Posts
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Unlocking the past – new method helps gain insights into old tissue
Novel AI model trained on RNA-Seq data accurately detects key gene mutations and predicts biomarkers across 32 cancer types
Transcriptomic aging clock reveals age-related molecular patterns in opioid dependence
RNA sequencing helps predict stem cell transplant benefit in pediatric AML
Protein ‘switch’ determines whether liposarcoma cells will become aggressive
Precursor tRNAs sense temperature changes: heat stress-induced capped pre-tRNAs suppress protein synthesis
Ketamine increases neuroplasticity in female mice but not in males
Somatic mutations linked to vascular damage in progeria
Scientists map dormant cancer cells’ hideouts, opening new targets for treatment
Soluble signals released by neighboring cells direct how the human kidney is built
Genetics influence how cancer arises – and how it evolves
RNA-based testing uncovers extraordinary diversity in mutations driving lung cancer
Study offers new insights into why ex-smokers remain at elevated risk of lung disease
Learning the grammar of gene regulation
New findings could transform new treatment for rare brain tumor astroblastoma
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services