Evidence map›Paper›PMID 39605367›Full record

ArticlebioRxiv : the preprint server for biology2024

The single-cell spatial landscape of stage III colorectal cancers.

Andrew Su, HoJoon Lee, Minh Tran, Richard D Cruz, Anuja Sathe, Xiangqi Bai, Ignacio Wichmann, Lance Pflieger, Bryce Moulton, Tyler Barker and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

16 authors.

Andrew SuDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States.
HoJoon LeeDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States.ORCID 0000-0002-0973-9544
Minh TranInstitute for Molecular Bioscience, The University of Queensland, QLD 4072, Australia.
Richard D CruzIntermountain Healthcare, Saint George, UT, 84770, United States.
Anuja SatheDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States.
Xiangqi BaiDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States.
Ignacio WichmannDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States.
Lance PfliegerIntermountain Healthcare, Saint George, UT, 84770, United States.
Bryce MoultonIntermountain Healthcare, Saint George, UT, 84770, United States.
Tyler BarkerIntermountain Healthcare, Saint George, UT, 84770, United States.
Derrick HaslemIntermountain Healthcare, Saint George, UT, 84770, United States.
David JonesIntermountain Healthcare, Saint George, UT, 84770, United States.
Lincoln NadauldIntermountain Healthcare, Saint George, UT, 84770, United States.
Quan NguyenInstitute for Molecular Bioscience, The University of Queensland, QLD 4072, Australia.ORCID 0000-0001-7870-5703
Hanlee P JiDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States.ORCID 0000-0003-3772-3424
Terence RhodesIntermountain Healthcare, Saint George, UT, 84770, United States.

Funding

Project 3: Molecular Risk Stratification of Gastric Precancerous LesionsP01CA265772 · NCI · STANFORD UNIVERSITY · PI Hanlee P Ji · 2023 to 2026
$9.0M
Integrating cancer genomics and spatial architecture of tumor infiltrating lymphocytesR01CA280089 · NCI · STANFORD UNIVERSITY · PI Hanlee P Ji · 2023 to 2026
$1.9M
NCI NIH HHS P01 CA265772NCI NIH HHS R01 CA280089
6 · The paper itself

Abstract

We conducted a spatial analysis using imaging mass cytometry applied to stage III colorectal adenocarcinomas. This study used multiplexed markers to distinguish individual cells and their spatial organization from 52 colorectal cancers. We determined the landscape features of cellular spatial features in the CRC tumor microenvironment. This spatial single-cell analysis identified 10 unique cell phenotypes in the tumor microenvironment that included stromal and immune cells with a subset which had a proliferative phenotype. These special features included spatial neighborhood interactions between single cells as well as different tissue niches, especially the tumor infiltrating lymphocyte regions. We applied a robust statistical analysis to identify significant correlations of cell features with phenotypes such as microsatellite instability or recurrence. We determined that microsatellite stable (MSS) colorectal cancers had an increased risk of recurrence if they had the following features: 1) a low level of stromal tumor-infiltrating lymphocytes, and 2) low interactions between CD4+ T cells and stromal cells. Our results point to the utility of spatial single-cell interaction analysis in defining novel features of the tumor immune microenvironments and providing useful clinical cell-related spatial biomarkers.

Identifiers

PMID39605367
PMCPMC11601238

What OpenQuestion holds

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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.