Evidence map›Paper›PMID 33377642›Full record

ArticleClinical and translational medicine2020

Circulating tumor cell characterization of lung cancer brain metastases in the cerebrospinal fluid through single-cell transcriptome analysis.

Haoyu Ruan, Yihang Zhou, Jie Shen, Yue Zhai, Ying Xu, Linyu Pi, Ruofan Huang, Kun Chen, Xiangyu Li, Weizhe Ma and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 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

15 authors at 4 institutions in 2 countries.

Haoyu RuanDepartment of Clinical Laboratory, Huashan Hospital, Fudan University, Shanghai, China.
Yihang ZhouTranslational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Jie Shen10K Genomics Technology Co., Ltd., Shanghai, China.
Yue ZhaiTranslational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Ying XuTranslational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Linyu PiTranslational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Ruofan HuangDepartment of Oncology, Huashan Hospital, Fudan University, Shanghai, China.
Kun ChenDepartment of Clinical Laboratory, Huashan Hospital North, Fudan University, Shanghai, China.
Xiangyu LiDepartment of Clinical Laboratory, Huashan Hospital North, Fudan University, Shanghai, China.
Weizhe MaCentral Laboratory, Huashan Hospital, Fudan University, Shanghai, China.
Zhiyuan WuDepartment of Clinical Laboratory, Huashan Hospital North, Fudan University, Shanghai, China.
Xuan DengDepartment of Clinical Laboratory, Huashan Hospital, Fudan University, Shanghai, China.
Xu WangDepartment of Pathobiology, Auburn University, Auburn, Alabama.ORCID https://orcid.org/0000-0002-7594-5004
Chao ZhangTranslational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0001-6418-8370
Ming GuanDepartment of Clinical Laboratory, Huashan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-8796-2653
Fudan University · CNShanghai East Hospital · CNHudsonAlpha Institute for Biotechnology · USSinotech Genomics (China) · CN

Funding

Fundamental Research Funds for the Central Universities 22120190210Innovation Group Project of Shanghai Municipal Health Commission 2019CXJQ03Innovative Research Team of High-level Local Universities in Shanghai SSMU-ZDCX20180700National Key Research and Development Program of China 2017YFA0103902National Key Research and Development Program of China 2019YFA 0111400National Natural Science Foundation of China 31771283National Natural Science Foundation of China 82072376National Science Foundation EPSCoR RII Track-4 Research Fellowship NSF OIA 1928770
6 · The paper itself

Abstract

backgroundBrain metastases explain the majority of mortality associated with lung cancer, which is the leading cause of cancer death. Cytology analysis of the cerebrospinal fluid (CSF) remains the diagnostic gold standard, however, the circulating tumor cells (CTCs) in CSF (CSF-CTCs) are not well defined at the molecular and transcriptome levels.

methodsWe established an effective CSF-CTCs collection procedure and isolated individual CSF cells from five lung adenocarcinoma leptomeningeal metastases (LUAD-LM) patients and three controls. Three thousand seven hundred ninety-two single-cell transcriptomes were sequenced, and single-cell RNA sequencing (scRNA-seq) gene expression analysis was used to perform a comprehensive characterization of CSF cells.

resultsThrough clustering and expression analysis, we defined CSF-CTCs at the transcriptome level based on epithelial markers, proliferation markers, and genes with lung origin. The metastatic-CTC signature genes are enriched for metabolic pathway and cell adhesion molecule categories, which are crucial for the survival and metastases of tumor cells. We discovered substantial heterogeneity in patient CSF-CTCs. We quantified the degree of heterogeneity and found significantly greater among-patient heterogeneity compared to among-cell heterogeneity within a patient. This observation could be explained by spatial heterogeneity of metastatic sites, cell-cycle gene, and cancer-testis antigen (CTA) expression profiles as well as the proportion of CTCs displaying mesenchymal and cancer stem cell properties. In addition, our CSF-CTCs transcriptome profiling allowed us to determine the biomarkers during the progression of an LM patient with cancer of unknown primary site (CUP).

conclusionsOur results will provide candidate genes for an RNA-based digital detection of CSF-CTCs from LUAD-LM and CUP-LM cases, and shed light on the therapy and mechanism of LUAD-LM.

Indexed as

cerebrospinal fluidcirculating tumor cellleptomeningeal metastaseslung adenocarcinomasingle-cell RNA sequencing

Identifiers

PMID33377642
PMCPMC7737787
OpenAlexW3111799671

What OpenQuestion holds

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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.