Evidence map›Paper›PMID 33190043›Full record

ArticleTranslational oncology2021

Integration of whole-exome and anchored PCR-based next generation sequencing significantly increases detection of actionable alterations in precision oncology.

Shaham Beg, Rohan Bareja, Kentaro Ohara, Kenneth Wha Eng, David C Wilkes, David J Pisapia, Wael Al Zoughbi, Sarah Kudman, Wei Zhang, Rema Rao and 12 more

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. AccurateInternational journal of molecular sciences · 2025
    Article
  3. Review
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  5. Article
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

22 authors at 1 institution in 2 countries.

Shaham BegDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Rohan BarejaCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.
Kentaro OharaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Kenneth Wha EngCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.
David C WilkesDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
David J PisapiaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Wael Al ZoughbiDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Sarah KudmanDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Wei ZhangDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States.
Rema RaoDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Jyothi ManoharCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Troy KaneCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Michael SigourosCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Jenny Zhaoying XiangDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States.
Francesca KhaniDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Brian D RobinsonDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States.
Bishoy M FaltasCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States; Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Cora N SternbergCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States; Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Andrea SbonerDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.
Himisha BeltranCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States; Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Olivier ElementoCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.
Juan Miguel MosqueraDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and NewYork Presbyterian, New York, NY, United States. Electronic address: jmm9018@med.cornell.edu.
Cornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrequency of clinically relevant mutations in solid tumors by targeted and whole-exome sequencing is ∼30%. Transcriptome analysis complements detection of actionable gene fusions in advanced cancer patients. Goal of this study was to determine the added value of anchored multiplex PCR (AMP)-based next-generation sequencing (NGS) assay to identify further potential drug targets, when coupled with whole-exome sequencing (WES).

methodsSelected series of fifty-six samples from 55 patients enrolled in our precision medicine study were interrogated by WES and AMP-based NGS. RNA-seq was performed in 19 cases. Clinically relevant and actionable alterations detected by three methods were integrated and analyzed.

resultsAMP-based NGS detected 48 fusions in 31 samples (55.4%); 31.25% (15/48) were classified as targetable based on published literature. WES revealed 29 samples (51.8%) harbored targetable alterations. TMB-high and MSI-high status were observed in 12.7% and 1.8% of cases. RNA-seq from 19 samples identified 8 targetable fusions (42.1%), also captured by AMP-based NGS. When number of actionable fusions detected by AMP-based NGS were added to WES targetable alterations, 66.1% of samples had potential drug targets. When both WES and RNA-seq were analyzed, 57.8% of samples had targetable alterations.

conclusionsThis study highlights importance of an integrative genomic approach for precision oncology, including use of different NGS platforms with complementary features. Integrating RNA data (whole transcriptome or AMP-based NGS) significantly enhances detection of potential targets in cancer patients. In absence of fresh frozen tissue, AMP-based NGS is a robust method to detect actionable fusions using low-input RNA from archival tissue.

Indexed as

Anchored multiplex PCR-based next-generation sequencingNovel fusionOncogenicRNA SequencingWhole-exome sequencing

Identifiers

PMID33190043
PMCPMC7674614
OpenAlexW3100245912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.