Evidence map›Paper›PMID 38960975›Full record

ArticleAnnals of biomedical engineering2024

Label-Free Monitoring of Endometrial Cancer Progression Using Multiphoton Microscopy.

Xuzhen Wu, Yanqing Kong, Yu Yi, Shuoyu Xu, Jianhua Chen, Jianxin Chen, Ping Jin

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

7 authors.

Xuzhen WuDepartment of Gynecology, Shenzhen Maternity and Child Healthcare Hospital, Shandong University, Shenzhen, 518028, China.
Yanqing KongDepartment of Pathology, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, 518028, China.
Yu YiKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350117, China.
Shuoyu XuDepartment of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Jianhua ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350117, China. jhchen@fjnu.edu.cn.
Jianxin ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350117, China. chenjianxin@fjnu.edu.cn.
Ping JinDepartment of Gynecology, Shenzhen Maternity and Child Healthcare Hospital, Shandong University, Shenzhen, 518028, China. pingjin68@smu.edu.cn.ORCID http://orcid.org/0009-0002-2084-0747

Funding

National Natural Science Foundation of China 82171991Natural Science Foundation of Fujian Province 2023J011125the National Natural Science Foundation of China Grant No. 81700576the Natural Science Foundation of Fujian Province 2023J01504
6 · The paper itself

Abstract

Endometrial cancer is the most common gynecological cancer in the developed world. However, the accuracy of current diagnostic methods is still unsatisfactory and time-consuming. Here, we presented an alternate approach to monitoring the progression of endometrial cancer via multiphoton microscopy imaging and analysis of collagen, which is often overlooked in current endometrial cancer diagnosis protocols but can offer a crucial signature in cancer biology. Multiphoton microscopy (MPM) based on the second-harmonic generation and two-photon excited fluorescence was introduced to visualize the microenvironment of endometrium in normal, hyperplasia without atypia, atypical hyperplasia, and endometrial cancer specimens. Furthermore, automatic image analysis based on the MPM image processing algorithm was used to quantify the differences in the collagen morphological features among them. MPM enables the visualization of the morphological details and alterations of the glands in the development process of endometrial cancer, including irregular changes in the structure of the gland, increased ratio of the gland to the interstitium, and atypical changes in the glandular epithelial cells. Moreover, the destructed basement membrane caused by gland proliferation and fusion is clearly shown in SHG images, which is a key feature for identifying endometrial cancer progression. Quantitative analysis reveals that the formation of endometrial cancer is accompanied by an increase in collagen fiber length and width, a progressive linearization and loosening of interstitial collagen, and a more random arrangement of interstitial collagen. Observation and quantitative analysis of interstitial collagen provide invaluable information in monitoring the progression of endometrial cancer. Label-free multiphoton imaging reported here has the potential to become an in situ histological tool for effective and accurate early diagnosis and detection of malignant lesions in endometrial cancer.

Indexed as

Endometrial NeoplasmsMicroscopy, Fluorescence, MultiphotonCollagenDisease ProgressionEndometriumFemaleHumansCollagenEndometrial cancerInterstitial collagenMultiphoton microscopyTumor progression

Identifiers

PMID38960975
PMCPMC11511711

What Socratic 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 Socratic graph.