Evidence map›Paper›PMID 34385467›Full record

ArticleNPJ genomic medicine2021

Functional comparison of exome capture-based methods for transcriptomic profiling of formalin-fixed paraffin-embedded tumors.

Kyrillus S Shohdy, Rohan Bareja, Michael Sigouros, David C Wilkes, Princesca Dorsaint, Jyothi Manohar, Daniel Bockelman, Jenny Z Xiang, Rob Kim, Kentaro Ohara and 6 more

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

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  4. Novel KCNQ2 missense variant expands the genotype spectrum of DEE7.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 3 countries.

Kyrillus S Shohdy *Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA.
Rohan Bareja *Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Michael SigourosCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-0328-8359
David C WilkesCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Princesca DorsaintCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Jyothi ManoharCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Daniel BockelmanCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Jenny Z XiangGenomic Resources Core Facility, Weill Cornell Medicine, New York, NY, USA.
Rob KimCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Kentaro OharaCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Kenneth EngCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Juan Miguel MosqueraCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0003-4666-6476
Olivier ElementoCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Andrea SbonerCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Alicia AlonsoCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Bishoy M FaltasDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA. bmf9003@med.cornell.edu.ORCID http://orcid.org/0000-0002-6432-1693
Cornell University · USCairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of fresh frozen (FF) tissue is a barrier for implementing RNA sequencing (RNA-seq) in the clinic. The majority of clinical samples are stored as formalin-fixed, paraffin-embedded (FFPE) tissues. Exome capture platforms have been developed for RNA-seq from FFPE samples. However, these methods have not been systematically compared. We performed transcriptomic analysis of 32 FFPE tumor samples from 11 patients using three exome capture-based methods: Agilent SureSelect V6, TWIST NGS Exome, and IDT XGen Exome Research Panel. We compared these methods to the TruSeq RNA-seq of fresh frozen (FF-TruSeq) tumor samples from the same patients. We assessed the recovery of clinically relevant biological features. The Spearman's correlation coefficients between the global expression profiles of the three capture-based methods from FFPE and matched FF-TruSeq were high (rho = 0.72-0.9, p < 0.05). A significant correlation between the expression of key immune genes between individual capture-based methods and FF-TruSeq (rho = 0.76-0.88, p < 0.05) was observed. All exome capture-based methods reliably detected outlier expression of actionable gene transcripts, including ERBB2, MET, NTRK1, and PPARG. In urothelial cancer samples, the Agilent assay was associated with the highest molecular subtype concordance with FF-TruSeq (Cohen's k = 0.7, p < 0.01). The Agilent and IDT assays detected all the clinically relevant fusions that were initially identified in FF-TruSeq. All FFPE exome capture-based methods had comparable performance and concordance with FF-TruSeq. Our findings will enable the implementation of RNA-seq in the clinic to guide precision oncology approaches.

Identifiers

PMID34385467
PMCPMC8360986
OpenAlexW3192596566

What OpenQuestion holds

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Registered trials

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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.