Evidence map›Paper›PMID 39083299›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Precise Identification of Glioblastoma Micro-Infiltration at Cellular Resolution by Raman Spectroscopy.

Lijun Zhu, Jianrui Li, Jing Pan, Nan Wu, Qing Xu, Qing-Qing Zhou, Qiang Wang, Dong Han, Ziyang Wang, Qiang Xu and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

21 authors.

Lijun ZhuDepartment of Radiology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.ORCID 0009-0009-4103-9378
Jianrui LiDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Jing PanDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Nan WuDepartment of Pathology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China.
Qing XuDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Qing-Qing ZhouDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Qiang WangDepartment of Neurosurgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Dong HanDepartment of Biomedical Engineering, College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, 210002, China.
Ziyang WangDepartment of Biomedical Engineering, College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, 210002, China.
Qiang XuDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Xiaoxue LiuDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210002, China.
Jingxing GuoSchool of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430000, China.
Jiandong WangDepartment of Pathology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China.
Zhiqiang ZhangDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Yiqing WangDepartment of Biomedical Engineering, College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, 210002, China.
Huiming CaiDepartment of Biomedical Engineering, College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing, 210002, China.
Yingjia LiDepartment of Medicine Ultrasonics, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Hao PanDepartment of Neurosurgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Longjiang ZhangDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.
Xiaoyuan ChenDepartments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore.
Guangming LuDepartment of Radiology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, 305 Zhongshan Road East, Xuanwu, Nanjing, 210002, China.ORCID 0000-0003-4913-2314

Funding

Fundamental Research Funds for the Central Universities of China 021414380531National Medical Research Council MOH-001388-00National Natural Science Foundation of China 82127806National Research Foundation NRF-000352-00National University of SingaporeScience and Technology Innovation 2030-Major Projects 2020AAA0109500Singapore Ministry of Education MOE-000387-00
6 · The paper itself

Abstract

Precise identification of glioblastoma (GBM) microinfiltration, which is essential for achieving complete resection, remains an enormous challenge in clinical practice. Here, the study demonstrates that Raman spectroscopy effectively identifies GBM microinfiltration with cellular resolution in clinical specimens. The spectral differences between infiltrative lesions and normal brain tissues are attributed to phospholipids, nucleic acids, amino acids, and unsaturated fatty acids. These biochemical metabolites identified by Raman spectroscopy are further confirmed by spatial metabolomics. Based on differential spectra, Raman imaging resolves important morphological information relevant to GBM lesions in a label-free manner. The area under the receiver operating characteristic curve (AUC) for Raman spectroscopy combined with machine learning in detecting infiltrative lesions exceeds 95%. Most importantly, the cancer cell threshold identified by Raman spectroscopy is as low as 3 human GBM cells per 0.01 mm

Indexed as

Brain NeoplasmsGlioblastomaSpectrum Analysis, RamanHumansglioblastomaidentificationmicro‐infiltrationRaman spectroscopy

Identifiers

PMID39083299
PMCPMC11423152

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.