Evidence map›Paper›PMID 37479733›Full record

ArticleCommunications biology2023

Single-cell sequencing reveals the landscape of the human brain metastatic microenvironment.

Qianqian Song, Jimmy Ruiz, Fei Xing, Hui-Wen Lo, Lou Craddock, Ashok K Pullikuth, Lance D Miller, Michael H Soike, Stacey S O'Neill, Kounosuke Watabe and 2 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 54 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Qianqian SongDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0002-4455-5302
Jimmy RuizHematology & Oncology, Department of Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA. jruiz@wakehealth.edu.ORCID 0000-0002-7242-3315
Fei XingDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0001-6350-0764
Hui-Wen LoDepartment of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Lou CraddockDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Ashok K PullikuthDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0002-0041-3310
Lance D MillerDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Michael H SoikeHazlerig-Salter Department of Radiation Oncology, University of Alabama-Birmingham Heersink School of Medicine, Birmingham, AL, USA.
Stacey S O'NeillDepartment of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Kounosuke WatabeDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0001-7441-6322
Michael D ChanDepartment of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, USA. mchan@wakehealth.edu.ORCID 0000-0002-5278-6709
Jing SuDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA. su1@iu.edu.ORCID 0000-0003-4917-6173
Wake Forest University · USIndiana University Health · USThe University of Texas Health Science Center at Houston · USUniversity of Alabama at Birmingham · USW. G. (Bill) Hefner VA Medical Center · US

Funding

Tumor Microenvironment and Metastasis ProgramP30CA082709 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Sara K Quinney · 1999 to 2026
$59.3M
Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
NCI NIH HHS P30 CA012197NCI NIH HHS P30 CA082709
6 · The paper itself

Abstract

Brain metastases is the most common intracranial tumor and account for approximately 20% of all systematic cancer cases. It is a leading cause of death in advanced-stage cancer, resulting in a five-year overall survival rate below 10%. Therefore, there is a critical need to identify effective biomarkers that can support frequent surveillance and promote efficient drug guidance in brain metastasis. Recently, the remarkable breakthroughs in single-cell RNA-sequencing (scRNA-seq) technology have advanced our insights into the tumor microenvironment (TME) at single-cell resolution, which offers the potential to unravel the metastasis-related cellular crosstalk and provides the potential for improving therapeutic effects mediated by multifaceted cellular interactions within TME. In this study, we have applied scRNA-seq and profiled 10,896 cells collected from five brain tumor tissue samples originating from breast and lung cancers. Our analysis reveals the presence of various intratumoral components, including tumor cells, fibroblasts, myeloid cells, stromal cells expressing neural stem cell markers, as well as minor populations of oligodendrocytes and T cells. Interestingly, distinct cellular compositions are observed across different samples, indicating the influence of diverse cellular interactions on the infiltration patterns within the TME. Importantly, we identify tumor-associated fibroblasts in both our in-house dataset and external scRNA-seq datasets. These fibroblasts exhibit high expression of type I collagen genes, dominate cell-cell interactions within the TME via the type I collagen signaling axis, and facilitate the remodeling of the TME to a collagen-I-rich extracellular matrix similar to the original TME at primary sites. Additionally, we observe M1 activation in native microglial cells and infiltrated macrophages, which may contribute to a proinflammatory TME and the upregulation of collagen type I expression in fibroblasts. Furthermore, tumor cell-specific receptors exhibit a significant association with patient survival in both brain metastasis and native glioblastoma cases. Taken together, our comprehensive analyses identify type I collagen-secreting tumor-associated fibroblasts as key mediators in metastatic brain tumors and uncover tumor receptors that are potentially associated with patient survival. These discoveries provide potential biomarkers for effective therapeutic targets and intervention strategies.

Indexed as

Brain NeoplasmsGlioblastomaBrainCollagen Type IFibroblastsHumansTumor MicroenvironmentCollagen Type I

Identifiers

PMID37479733
PMCPMC10362065
OpenAlexW4385064642

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.