Evidence map›Paper›PMID 34725363›Full record

ArticleNature communications2021

Spatially resolved transcriptomics reveals the architecture of the tumor-microenvironment interface.

Miranda V Hunter, Reuben Moncada, Joshua M Weiss, Itai Yanai, Richard M White

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed
15.6field-weighted citation impact, top 1% 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

180 citing papers in PubMed, 264 citations in OpenAlex.

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120 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

5 authors at 2 institutions in 1 country.

Miranda V Hunter *Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-6971-1738
Reuben Moncada *Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
Joshua M WeissCancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Itai YanaiInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA. itai.yanai@nyulangone.org.
Richard M WhiteCancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. whiter@mskcc.org.ORCID 0000-0001-9099-9169
Memorial Sloan Kettering Cancer Center · USNYU Langone Health · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
TRAINING PROGRAM IN MOLECULAR AND CELLULAR BIOLOGYT32GM008539 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI BROWN, ANTHONY M.C. · 1995 to 2020
$5.0M
Dissecting the complexity of metastasis with mathematical models and quantitative experiments with in zebrafishR01CA229215 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WHITE, RICHARD MARK, XAVIER, JOAO · 2018 to 2022
$3.1M
Evolutionary dynamics of melanoma metastasisDP2CA186572 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WHITE, RICHARD MARK · 2013 to 2013
$2.7M
Lipid programs in melanocyte transformationR01CA238317 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI OVERHOLTZER, MICHAEL H., WHITE, RICHARD MARK · 2020 to 2025
$2.0M
Investigating the Role of Adipocyte Lipolysis in Melanoma ProgressionF30CA236442 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI WEISS, JOSHUA M. · 2019 to 2022
$186k
NCI NIH HHS DP2 CA186572NCI NIH HHS F30 CA236442NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA229215NCI NIH HHS R01 CA238317NIGMS NIH HHS T32 GM007739NIGMS NIH HHS T32 GM008539
6 · The paper itself

Abstract

During tumor progression, cancer cells come into contact with various non-tumor cell types, but it is unclear how tumors adapt to these new environments. Here, we integrate spatially resolved transcriptomics, single-cell RNA-seq, and single-nucleus RNA-seq to characterize tumor-microenvironment interactions at the tumor boundary. Using a zebrafish model of melanoma, we identify a distinct "interface" cell state where the tumor contacts neighboring tissues. This interface is composed of specialized tumor and microenvironment cells that upregulate a common set of cilia genes, and cilia proteins are enriched only where the tumor contacts the microenvironment. Cilia gene expression is regulated by ETS-family transcription factors, which normally act to suppress cilia genes outside of the interface. A cilia-enriched interface is conserved in human patient samples, suggesting it is a conserved feature of human melanoma. Our results demonstrate the power of spatially resolved transcriptomics in uncovering mechanisms that allow tumors to adapt to new environments.

Indexed as

TranscriptomeTumor MicroenvironmentAnimalsDisease Models, AnimalGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasmsRNA-SeqZebrafish

Identifiers

PMID34725363
PMCPMC8560802
OpenAlexW3210002151

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.