Evidence map›Paper›PMID 38683997›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Genetic and phenotypic profiling of single living circulating tumor cells from patients with microfluidics.

Zaizai Dong, Yusen Wang, Gaolian Xu, Bing Liu, Yang Wang, Julien Reboud, Pawel Jajesniak, Shi Yan, Pingchuan Ma, Feng Liu and 12 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Genetic and phenotypic profiling of single living circulating tumor cells from patients with microfluidics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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

22 authors.

Zaizai Dong *Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0003-1398-1699
Yusen Wang *Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Gaolian Xu *Shanghai Sci-Tech InnoCenter for Infection and Immunity, Shanghai 200438, China.
Bing Liu *State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Yang WangBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Julien ReboudDivision of Biomedical Engineering, University of Glasgow, G12 8LT Glasgow, United Kingdom.ORCID 0000-0002-6879-8405
Pawel JajesniakDivision of Biomedical Engineering, University of Glasgow, G12 8LT Glasgow, United Kingdom.
Shi YanState Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Pingchuan MaBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Feng LiuBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Yuhao ZhouBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Zhiyuan JinBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Kuan YangBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.ORCID 0009-0008-9804-586X
Zhaocun HuangBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Minglei ZhuoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Bo JiaKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Jian FangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Panpan ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Nan WuState Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Mingzhu YangBeijing Research Institute of Mechanical Equipment, Beijing 100143, China.ORCID 0000-0002-5484-0836
Jonathan M CooperDivision of Biomedical Engineering, University of Glasgow, G12 8LT Glasgow, United Kingdom.ORCID 0000-0002-2358-1050
Lingqian ChangBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0003-4116-2711

Funding

MOE | Fundamental Research Funds for the Central Universities (Fundamental Research Fund for the Central Universities) JKF-YG-22-B001MOST | National Key Research and Development Program of China (NKPs) 2021YFC2302100MOST | National Key Research and Development Program of China (NKPs) 2022YFB3205600MOST | National Natural Science Foundation of China (NSFC) 32071407MOST | National Natural Science Foundation of China (NSFC) 62003023| Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) 7212204Science foundation of Beijing University Cancer Hospital 2022-5 A002476
6 · The paper itself

Abstract

Accurate prediction of the efficacy of immunotherapy for cancer patients through the characterization of both genetic and phenotypic heterogeneity in individual patient cells holds great promise in informing targeted treatments, and ultimately in improving care pathways and clinical outcomes. Here, we describe the nanoplatform for interrogating living cell host-gene and (micro-)environment (NICHE) relationships, that integrates micro- and nanofluidics to enable highly efficient capture of circulating tumor cells (CTCs) from blood samples. The platform uses a unique nanopore-enhanced electrodelivery system that efficiently and rapidly integrates stable multichannel fluorescence probes into living CTCs for in situ quantification of target gene expression, while on-chip coculturing of CTCs with immune cells allows for the real-time correlative quantification of their phenotypic heterogeneities in response to immune checkpoint inhibitors (ICI). The NICHE microfluidic device provides a unique ability to perform both gene expression and phenotypic analysis on the same single cells in situ, allowing us to generate a predictive index for screening patients who could benefit from ICI. This index, which simultaneously integrates the heterogeneity of single cellular responses for both gene expression and phenotype, was validated by clinically tracing 80 non-small cell lung cancer patients, demonstrating significantly higher AUC (area under the curve) (0.906) than current clinical reference for immunotherapy prediction.

Indexed as

Neoplastic Cells, CirculatingCarcinoma, Non-Small-Cell LungCell Line, TumorGene Expression ProfilingHumansImmunotherapyLung NeoplasmsMicrofluidic Analytical TechniquesMicrofluidicsPhenotypeSingle-Cell Analysiscirculating tumor cellsimmunotherapymicrofluidicspredictionsingle cell

Identifiers

PMID38683997
PMCPMC11087790

What OpenQuestion holds

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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.