Evidence map›Paper›PMID 37666492›Full record

ArticleMolecular oncology2023

Assay-agnostic spatial profiling detects tumor microenvironment signatures: new diagnostic insights for triple-negative breast cancer.

Colleen Ziegler, Alain Mir, Sangeetha Anandakrishnan, Patrick Martin, Elma Contreras, Isaiah Slemons, Barbara Witkowski, Chris DeSilva, Andrew Farmer, Semir Vranic and 3 more

Abstract read
In one paragraph

Article in Molecular oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Colleen ZieglerbioSyntagma, Tempe, Arizona, USA.
Alain MirTakara Bio USA, San Francisco, California, USA.
Sangeetha AnandakrishnanTakara Bio USA, San Francisco, California, USA.
Patrick MartinTakara Bio USA, San Francisco, California, USA.
Elma ContrerasCaris Life Sciences, Phoenix, Arizona, USA.
Isaiah SlemonsbioSyntagma, Tempe, Arizona, USA.
Barbara WitkowskibioSyntagma, Tempe, Arizona, USA.
Chris DeSilvabioSyntagma, Tempe, Arizona, USA.
Andrew FarmerTakara Bio USA, San Francisco, California, USA.
Semir VranicCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Zoran GatalicaCaris Life Sciences, Phoenix, Arizona, USA.
David RichardsonbioSyntagma, Tempe, Arizona, USA.ORCID 0009-0003-8229-6086
Dmitry N DerkachbioSyntagma, Tempe, Arizona, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of the tumor microenvironment (TME) in immuno-oncology has driven demand for technologies that deliver in situ, or spatial, molecular information. Compartmentalized heterogeneity that traditional methods miss is becoming key to predicting both acquired drug resistance to targeted therapies and patient response to immunotherapy. Here, we describe a novel method for assay-agnostic spatial profiling and demonstrate its ability to detect immune microenvironment signatures in breast cancer patients that are unresolved by the immunohistochemical (IHC) assessment of programmed cell death ligand-1 (PD-L1) on immune cells, which represents the only FDA microenvironment-based companion diagnostic test that has been approved for triple-negative breast cancer (TNBC). Two distinct physiological states were found that are uncorrelated to tumor mutational burden (TMB), microsatellite instability (MSI), PD-L1 expression, and intrinsic cancer subtypes.

Indexed as

Triple Negative Breast NeoplasmsB7-H1 AntigenBiomarkers, TumorHumansMedical OncologyTumor MicroenvironmentB7-H1 AntigenBiomarkers, Tumorimmuno-oncologyspatial profilingtriple-negative breast cancertumor microenvironment

Identifiers

PMID37666492
PMCPMC10552887

What OpenQuestion holds

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LicenceCC BY
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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.