Evidence map›Paper›PMID 35678121›Full record

ArticleClinical and translational medicine2022

Single-cell RNA sequencing reveals the characteristics of cerebrospinal fluid tumour environment in breast cancer and lung cancer leptomeningeal metastases.

Haoyu Ruan, Zhe Wang, Ziwei Sun, Jia Wei, Lei Zhang, Huanyu Ju, Ting Wang, Chao Zhang, Ming Guan, Shiyang Pan

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 33 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

10 authors at 4 institutions in 1 country.

Haoyu RuanDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhe WangDepartment of Physiology, Second Military Medical University, Shanghai, China.
Ziwei SunDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jia WeiDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lei ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Huanyu JuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ting WangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chao ZhangDepartment of Plastic and Reconstructive Surgery, Shanghai Institute of Precision Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-6418-8370
Ming GuanDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-8796-2653
Shiyang PanDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0001-9320-6988
National Center for Clinical Laboratories · CNFudan University · CNSecond Military Medical University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptomeningeal metastases (LM) occur in patients with breast cancer (BC) and lung cancer (LC) showing exceptionally poor prognosis. The cerebrospinal fluid (CSF) tumour microenvironment (TME) of LM patients is not well defined at a single-cell level. Based on the 10× genomics single-cell RNA sequencing (scRNA-seq) data from GEO database including five patient-derived CSF samples of BC-LM and LC-LM, and four patient-derived CSF samples of idiopathic intracranial hypertension (IIH) as controls, we analysed single-cell transcriptome characteristics of CSF TME in LM patients compared to controls simultaneously and comprehensively. In addition, we performed 10× genomics scRNA-seq on CSF cells derived from a BC-LM patient to help generate a solid conclusion. The CSF macrophages in LM patients showing M2-subtype signature and the emergence of regulatory T cells in LM confirmed the direction of tumour immunity toward immunosuppression. Then, the characteristics of CSF circulating tumour cells (CTCs) of breast cancer LM (BC-LM) patients were classified into five molecular subtypes by PAM50 model. The communication between macrophages and five subtype-specific CSF-CTCs showed largest number of ligand-receptor interactions. The five subtypes-specific CSF-CTCs showed great heterogeneities which were manifested in cell proliferation and cancer-testis antigens expression. Gene regulatory networks (GRNs) analysis revealed that transcription factor SREBF2 was universally activated in the five subtypes-specific CSF-CTCs. Our results will provide inspiration on new directions of the mechanism research, diagnosis and therapy of LM.

Indexed as

Breast NeoplasmsLung NeoplasmsMeningeal CarcinomatosisGenomicsHumansMaleSequence Analysis, RNATumor MicroenvironmentCerebrospinal fluidcirculating tumour cellsgene regulatory networksleptomeningeal metastasestumour microenvironment

Identifiers

PMID35678121
PMCPMC9178395
OpenAlexW4281681637

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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.