Evidence map›Paper›PMID 34050252›Full record

ArticleNPJ precision oncology2021

Models that combine transcriptomic with spatial protein information exceed the predictive value for either single modality.

Ioannis A Vathiotis, Zhi Yang, Jason Reeves, Maria Toki, Thazin Nwe Aung, Pok Fai Wong, Harriet Kluger, Konstantinos N Syrigos, Sarah Warren, David L Rimm

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  5. Laser capture microdissection.Nature reviews. Methods primers · 2025
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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

10 authors at 3 institutions in 2 countries.

Ioannis A VathiotisDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-1772-5986
Zhi YangNanoString Technologies, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6577-8943
Jason ReevesNanoString Technologies, Seattle, WA, USA.
Maria TokiDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-7074-7148
Thazin Nwe AungDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Pok Fai WongDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Harriet KlugerYale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
Konstantinos N SyrigosDepartment of Medicine, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
Sarah WarrenNanoString Technologies, Seattle, WA, USA.
David L RimmDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA. david.rimm@yale.edu.ORCID http://orcid.org/0000-0001-5820-4397
Yale Cancer Center · USNanostring Technologies (United States) · USNational and Kapodistrian University of Athens · GR

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Immunotherapy has reshaped the field of cancer therapeutics but the population that benefits are small in many tumor types, warranting a companion diagnostic test. While immunohistochemistry (IHC) for programmed death-ligand 1 (PD-L1) or mismatch repair (MMR) and polymerase chain reaction (PCR) for microsatellite instability (MSI) are the only approved companion diagnostics others are under consideration. An optimal companion diagnostic test might combine the spatial information of IHC with the quantitative information from RNA expression profiling. Here, we show proof of concept for combination of spatially resolved protein information acquired by the NanoString GeoMx® Digital Spatial Profiler (DSP) with transcriptomic information from bulk mRNA gene expression acquired using NanoString nCounter® PanCancer IO 360™ panel on the same cohort of immunotherapy treated melanoma patients to create predictive models associated with clinical outcomes. We show that the combination of mRNA and spatially defined protein information can predict clinical outcomes more accurately (AUC 0.97) than either of these factors alone.

Identifiers

PMID34050252
PMCPMC8163775
OpenAlexW3164156295

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.