Evidence map›Paper›PMID 42014463›Full record

ArticleNPJ precision oncology2026

EXaCT-2: an augmented and customizable oncology-focused whole exome sequencing platform.

Peter Waltman, Pooja Chandra, Ken W Eng, David C Wilkes, Hyeon Park, Carlos Pabon, Princesca Delpe, Bhavneet Bhinder, Jyothi Manohar, Troy Kane and 28 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

38 authors.

Peter WaltmanDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Pooja ChandraDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Ken W EngEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
David C WilkesEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Hyeon ParkDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Carlos PabonDiagnostics and Genomics Group, Agilent Technologies, Santa Clara, CA, USA.
Princesca DelpeDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Bhavneet BhinderDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Jyothi ManoharEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Troy KaneEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Evan FernandezDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Kathryn GorskiDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Noah GrecoDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Manuele SimiDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Jeffrey M TangDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Pantelis ZisimopoulosDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Abigail KingDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Majd Al AssaadEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Theresa Ten EyckDiagnostics and Genomics Group, Agilent Technologies, Santa Clara, CA, USA.
Douglas RobertsDiagnostics and Genomics Group, Agilent Technologies, Santa Clara, CA, USA.
Jorge MongeWCM Myeloma Center, Weill Cornell Medicine, New York, NY, USA.
Francesca DemichelisDepartment of Cellular, Computational, and Integrative Biology, Interdepartmental Center of Medical Sciences (CISMed), University of Trento, Trento, Italy.
Wayne TamDepartment of Anatomic Pathology, Hematopathology, Molecular Genetic Pathology, Northwell Health, New York, NY, USA.
Madhu M OusephDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Alexandros SigarasDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Himisha BeltranDepartment of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA.
Hannah RennertDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Neal LindemanDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Wei SongDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
James SolomonDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Juan Miguel MosqueraEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Rob KimEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Jeffrey CatalanoEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Duane C HassaneEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Michael SigourosDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Olivier ElementoDepartment of System and Computational Biology, Weill Cornell Medicine, New York, NY, USA.
Alicia AlonsoEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Andrea SbonerEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA. ans2077@med.cornell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed and benchmarked Exome Cancer Test v.2.0 (EXaCT-2), a novel whole-exome sequencing (WES) assay based on Agilent's SureSelect hybrid-capture technology and expanded with custom probes targeting cancer-informative genomic regions. EXaCT-2 provides ~1,400 cancer genes with the depth of coverage typical of targeted panels, while achieving the genomic breadth to detect somatic copy number alterations (SCNAs), common cancer-related rearrangements, oncogenic viruses and B-cell receptor (BCR) clonotypes. Evaluated with a cancer patient cohort of 244 matched tumor/normal pairs and compared with clinically-validated results, EXaCT-2 achieved a mean sequencing depth of ~400× for critical cancer genes and ~100× for the remainder of the exome, with SCNA characterization showing improved boundary detection and overall segmentation. The assay demonstrated enhanced sensitivity for detecting sub-clonal, low-allele-frequency mutations missed by standard exome assays, such as mutations in GC-rich genes like KRAS. Analysis is performed by a modular, bespoke pipeline that leverages a workflow manager (Nextflow), in combination with containerized open-source tools. In addition to mutations and SCNAs, the pipeline reports common cancer rearrangements, hematologic oncogenic viruses, BCR clonotypes, and global molecular metrics, such as tumor mutational burden (TMB) and microsatellite instability (MSI). Collectively, these results establish EXaCT-2 as a comprehensive platform for integrated cancer genome profiling.

Identifiers

PMID42014463
PMCPMC13287462

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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.