Label‐free imaging and spectroscopy for early detection of cervical cancer

Jing, Yueyue; Wang, Yulan; Wang, Xinyi; Song, Chuan; Ma, Junjun; Xie, Yonghui; Fei, Yiyan; Zhang, Qinghua; Mi, Lan

doi:10.1002/jbio.201700245

Cited by 17 publications

(13 citation statements)

References 47 publications

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“…In this study, the group of adenomyosis patients revealed similar feature as CIN and cervical cancer groups reported previously. 7 Therefore, the result may imply that uterine adenomyosis growth is more invasive compared with leiomyomas, which is consistent with clinical manifestations.…”

Section: Flim Images Of Cervical Tissuesupporting

confidence: 58%

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Detecting benign uterine tumors by autofluorescence lifetime imaging microscopy through adjacent healthy cervical tissues

Huang

Zhang

Wang

et al. 2019

J. Innov. Opt. Health Sci.

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The endogenous°uorophores such as reduced nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) and°avin adenine dinucleotide (FAD) in cells and tissues can be imaged by°uorescence lifetime imaging microscopy (FLIM) to show the tissue morphology features, as well as the biomolecular changes in microenvironment. The two important coenzymes in cellular metabolism, NAD(P)H and FAD, can be used to monitor the cellular metabolic status. This work proposed a novel method to study the uterine metabolism at the adjacent site of healthy cervix. It was found that the benign uterine tumors such as leiomyomas and adenomyosis with abnormal cell growth can be detected by measuring the°uorescence lifetime of NAD(P)H and FAD in † † Corresponding authors. adjacent healthy cervical tissues. This method opened a novel strategy for a®licted women to undergo the cervical biopsies instead of hysterectomies for detecting tumors, which can preserve the fertility of patients. The FLIM studying on NAD(P)H and FAD indicated the correlation between metabolism and some diseases, including diabetes, hyperthyroidism and obesity. It was also suggested that the metabolic level might be quite di®erent for a patient with a malignant tumor history.

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Section: Flim Images Of Cervical Tissuesupporting

confidence: 58%

“…However, biochemical change occurs when the cellular metabolism becomes abnormal in the case of rapid cell division, which occurs before morphological changes become apparent. 7,8 That means optical techniques have the great potential to detect malignancies or precancer much earlier than traditional histopathology.…”

Section: Introductionmentioning

confidence: 99%

Detecting benign uterine tumors by autofluorescence lifetime imaging microscopy through adjacent healthy cervical tissues

Huang

Zhang

Wang

et al. 2019

J. Innov. Opt. Health Sci.

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“…When FLIM images were collected with a 532 nm long-pass filter for FAD, the signals of PpIX could be detected. But in our previous work, the fluorescence emission of PpIX at around 620 nm for the cervical tissue samples was very weak [45] and the effect of PpIX signals in cervical tissues is little.…”

Section: Flim Experimental Setupmentioning

confidence: 72%

Discriminating different grades of cervical intraepithelial neoplasia based on label-free phasor fluorescence lifetime imaging microscopy

Wang¹,

Wang

Zhang³

et al. 2020

Biomed. Opt. Express

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This study proposed label-free fluorescence lifetime imaging and phasor analysis methods to discriminate different grades of cervical intraepithelial neoplasia (CIN). The human cervical tissue lesions associated with cellular metabolic abnormalities were detected by the status changes of important coenzymes in cells and tissues, reduced nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) and flavin adenine dinucleotide (FAD). Fluorescence lifetime imaging microscopy (FLIM) was used to study human cervical tissues, human cervical epithelial cells, and standard samples. Phasor analysis was applied to reveal the interrelation between the metabolic changes and cancer development, which can distinguish among different stages of cervical lesions from low risk to high risk. This approach also possessed high sensitivity, especially for healthy sites of CIN3 tissues, and indicated the dominance of the glycolytic pathway over oxidative phosphorylation in high-grade cervical lesions. This highly adaptive, sensitive, and rapid diagnostic tool exhibits a great potential for cervical precancer diagnosis.

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“…The clinical applications of optical redox ratios, which can be calculated as FAD/[NAD(P)H + FAD], for oral and cervical cancer diagnosis have been discussed [ 26 , 27 ]. However, due to the low quantum yield of NAD(P)H and FAD, the intensity-based method relying on optical redox ratios, is not as sensitive as we expect because of the background fluorescence interference.…”

Section: Flim Combined With Nad(p)h For Cancer Metabolism Monitoringmentioning

confidence: 99%

FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring

et al. 2021

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Fluorescence lifetime imaging microscopy (FLIM) has been rapidly developed over the past 30 years and widely applied in biomedical engineering. Recent progress in fluorophore-dyed probe design has widened the application prospects of fluorescence. Because fluorescence lifetime is sensitive to microenvironments and molecule alterations, FLIM is promising for the detection of pathological conditions. Current cancer-related FLIM applications can be divided into three main categories: (i) FLIM with autofluorescence molecules in or out of a cell, especially with reduced form of nicotinamide adenine dinucleotide, and flavin adenine dinucleotide for cellular metabolism research; (ii) FLIM with Förster resonance energy transfer for monitoring protein interactions; and (iii) FLIM with fluorophore-dyed probes for specific aberration detection. Advancements in nanomaterial production and efficient calculation systems, as well as novel cancer biomarker discoveries, have promoted FLIM optimization, offering more opportunities for medical research and applications to cancer diagnosis and treatment monitoring. This review summarizes cutting-edge researches from 2015 to 2020 on cancer-related FLIM applications and the potential of FLIM for future cancer diagnosis methods and anti-cancer therapy development. We also highlight current challenges and provide perspectives for further investigation.

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Label‐free imaging and spectroscopy for early detection of cervical cancer

Cited by 17 publications

References 47 publications

Detecting benign uterine tumors by autofluorescence lifetime imaging microscopy through adjacent healthy cervical tissues

Detecting benign uterine tumors by autofluorescence lifetime imaging microscopy through adjacent healthy cervical tissues

Discriminating different grades of cervical intraepithelial neoplasia based on label-free phasor fluorescence lifetime imaging microscopy

FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring

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