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Label-Free Monitoring of Endometrial Cancer Progression Using Multiphoton Microscopy.
Wu, Xuzhen; Kong, Yanqing; Yi, Yu; Xu, Shuoyu; Chen, Jianhua; Chen, Jianxin; Jin, Ping.
Afiliación
  • Wu X; Department of Gynecology, Shenzhen Maternity and Child Healthcare Hospital, Shandong University, Shenzhen, 518028, China.
  • Kong Y; Department of Pathology, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, 518028, China.
  • Yi Y; Key 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.
  • Xu S; Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
  • Chen J; Key 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.
  • Chen J; College of Life Science, Fujian Normal University, Fuzhou, 350117, China. jhchen@fjnu.edu.cn.
  • Jin P; Key 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.
Ann Biomed Eng ; 2024 Jul 03.
Article en En | MEDLINE | ID: mdl-38960975
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.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Ann Biomed Eng Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Ann Biomed Eng Año: 2024 Tipo del documento: Article País de afiliación: China