Evidence map›Paper›PMID 26253700›Full record

ArticleGenome research2015

The use of exome capture RNA-seq for highly degraded RNA with application to clinical cancer sequencing.

Marcin Cieslik, Rashmi Chugh, Yi-Mi Wu, Ming Wu, Christine Brennan, Robert Lonigro, Fengyun Su, Rui Wang, Javed Siddiqui, Rohit Mehra and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
–field-weighted citation impact
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

111 citing papers in PubMed, 187 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Evaluating Immune Checkpoint Blockade in Metastatic Castration-Resistant Prostate Cancers with Deleterious CDK12 Alterations in the Phase 2 IMPACT Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Trial
  4. Trial
  5. FFPE-CUTAC: A Single Assay, Multiple Layers.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
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  9. Prolonged Sample Storage Reshapes the mInternational journal of molecular sciences · 2026
    Article
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51 more citing papers are in PubMed but not listed here.

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

14 authors at 2 institutions in 1 country.

Marcin CieslikMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Rashmi ChughDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA;
Yi-Mi WuMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Ming WuMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA;
Christine BrennanMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Robert LonigroMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Fengyun SuMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Rui WangMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Javed SiddiquiMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Rohit MehraMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Xuhong CaoMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA;
David LucasDepartment of Pathology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA;
Arul M ChinnaiyanMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; Department of Urology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA.
Dan RobinsonMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
University of Michigan · USHoward Hughes Medical Institute · US

Funding

VACCINIA PSA FOR ANDROGEN-MODULATED POST-SURGICAL RECURRENCE OF PROSTATE CANCERP50CA069568 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COONEY, KATHLEEN A · 1995 to 2013
$31.3M
Tissue/InformaticsP50CA186786 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert Timothy Dess · 2014 to 2026
$27.6M
Sequencing, Analysis, and Interpretation of SequencingUM1HG006508 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J., ROBERTS, SCOTT · 2013 to 2016
$7.8M
Epitomic Biomarkers of Prostate CancerU01CA111275 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, RUBIN, MARK A. · 2004 to 2015
$6.8M
NCI NIH HHS P50 CA069568NCI NIH HHS P50 CA186786NCI NIH HHS P50CA69568NCI NIH HHS U01 CA111275NCI NIH HHS U01CA111275NHGRI NIH HHS 1UM1HG006508NHGRI NIH HHS UM1 HG006508
6 · The paper itself

Abstract

RNA-seq by poly(A) selection is currently the most common protocol for whole transcriptome sequencing as it provides a broad, detailed, and accurate view of the RNA landscape. Unfortunately, the utility of poly(A) libraries is greatly limited when the input RNA is degraded, which is the norm for research tissues and clinical samples, especially when specimens are formalin-fixed. To facilitate the use of RNA sequencing beyond cell lines and in the clinical setting, we developed an exome-capture transcriptome protocol with greatly improved performance on degraded RNA. Capture transcriptome libraries enable measuring absolute and differential gene expression, calling genetic variants, and detecting gene fusions. Through validation against gold-standard poly(A) and Ribo-Zero libraries from intact RNA, we show that capture RNA-seq provides accurate and unbiased estimates of RNA abundance, uniform transcript coverage, and broad dynamic range. Unlike poly(A) selection and Ribo-Zero depletion, capture libraries retain these qualities regardless of RNA quality and provide excellent data from clinical specimens including formalin-fixed paraffin-embedded (FFPE) blocks. Systematic improvements across key applications of RNA-seq are shown on a cohort of prostate cancer patients and a set of clinical FFPE samples. Further, we demonstrate the utility of capture RNA-seq libraries in a patient with a highly malignant solitary fibrous tumor (SFT) enrolled in our clinical sequencing program called MI-ONCOSEQ. Capture transcriptome profiling from FFPE revealed two oncogenic fusions: the pathognomonic NAB2-STAT6 inversion and a therapeutically actionable BRAF fusion, which may drive this specific cancer's aggressive phenotype.

Indexed as

ExomeHigh-Throughput Nucleotide SequencingRNA StabilitySequence Analysis, RNACell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGene LibraryGenomicsHumansNeoplasmsOncogene Proteins, FusionReproducibility of ResultsTranscriptomeOncogene Proteins, Fusion

Identifiers

PMID26253700
PMCPMC4561495
OpenAlexW2104806879

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.