Evidence map›Paper›PMID 37560648›Full record

ArticleHeliyon2023

Detection of breast cancer cells by a near-infrared fluorescent probe targeting mitochondrial viscosity.

Yu Shi, Junjun Liu, Yingying Liu, Hong Quan, Bo Li, Haili Lu, Hanzhi Ding, Zuoren Yu, Jing Han

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Yu ShiDepartment of Breast Cancer, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Junjun LiuDepartment of Breast Cancer, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Yingying LiuDepartment of Physiology and Pathophysiology, Health Science Center, Peking University, Beijing 100191, China.
Hong QuanDepartment of Breast Cancer, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Bo LiDepartment of Breast Cancer, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Haili LuDepartment of Breast Cancer, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Hanzhi DingDepartment of Breast Cancer, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Zuoren YuResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Jing HanDepartment of Breast Cancer, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring abnormal viscosity in biological systems is important for basic research and clinical applications. Fluorescence imaging technology is adaptable for the visualization of tumor tissues due to its comprehensive features. However, fluorescence detection of intracellular viscosity in clinical samples remains challenging. We developed a promising near-infrared fluorescent probe, M556, for viscosity measurement. M556, which targets mitochondria, was successfully applied to monitor the mitochondrial viscosity in living cells. Furthermore, M556 was demonstrated to effectively discriminate tumors from normal tissues in a mouse tumor model and in clinical specimens from breast cancer patients, thus indicating the potential perioperative use of this probe by clinicians to assist with biopsy procedures.

Indexed as

Breast cancerMitochondriaNear-infraredViscosity

Identifiers

PMID37560648
PMCPMC10407741

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.