ArticleOncotarget2017
Robust detection of immune transcripts in FFPE samples using targeted RNA sequencing.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04403984 (Investigation of the Prognostic Value of Genomic Alterations or Protein Expression in Patients With Operated Early Breast Cancer of Luminal A or Luminal B Subtypes), which is not on this map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Investigation of the Prognostic Value of Genomic Alterations or Protein Expression in Patients With Operated Early Breast Cancer of Luminal A or Luminal B Subtypes
Who cites it
27 citing papers in PubMed, 44 citations in OpenAlex.
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- RNA Sequencing in Comparison to Immunohistochemistry for Measuring Cancer Biomarkers in Breast Cancer and Lung Cancer Specimens.Biomedicines · 2020Article
- Characterization of the immune microenvironment in brain metastases from different solid tumors.Cancer medicine · 2020Article
- Identifying Predictive Factors of Recurrence after Radical Resection in Gastric Cancer by RNA Immune-oncology Panel.Journal of Cancer · 2020Article
- NOTCH3 is a Prognostic Factor and Is Correlated With Immune Tolerance in Gastric Cancer.Frontiers in oncology · 2020Article
- Body Mass Index Influences the Salutary Effects of Metformin on Survival After Lobectomy for Stage I NSCLC.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2019Article
- RCRnorm: An integrated system of random-coefficient hierarchical regression models for normalizing NanoString nCounter data.The annals of applied statistics · 2019Article
- Proliferative potential and resistance to immune checkpoint blockade in lung cancer patients.Journal for immunotherapy of cancer · 2019Article
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- Transcriptional Characterization Of The Tumor Immune Microenvironment And Its Prognostic Value For Locally Advanced Lung Adenocarcinoma In A Chinese Population.Cancer management and research · 2019Article
Corrections and comments
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Authors and funding
17 authors at 3 institutions in 2 countries.
Funding
Abstract
Current criteria for identifying cancer patients suitable for immunotherapy with immune checkpoint blockers (ICBs) are subjective and prone to misinterpretation, as they mainly rely on the visual assessment of CD274 (best known as PD-L1) expression levels by immunohistochemistry (IHC). To address this issue, we developed a RNA sequencing (RNAseq)-based approach that specifically measures the abundance of immune transcripts in formalin-fixed paraffin embedded (FFPE) specimens. Besides exhibiting superior sensitivity as compared to whole transcriptome RNAseq, our assay requires little starting material, implying that it is compatible with RNA degradation normally caused by formalin. Here, we demonstrate that a targeted RNAseq panel reliably profiles mRNA expression levels in FFPE samples from a cohort of ovarian carcinoma patients. The expression profile of immune transcripts as measured by targeted RNAseq in FFPE versus freshly frozen (FF) samples from the same tumor was highly concordant, in spite of the RNA quality issues associated with formalin fixation. Moreover, the results of targeted RNAseq on FFPE specimens exhibited a robust correlation with mRNA expression levels as measured on the same samples by quantitative RT-PCR, as well as with protein abundance as determined by IHC. These findings demonstrate that RNAseq profiling on archival FFPE tissues can be used reliably in studies assessing the efficacy of cancer immunotherapy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.