Discrimination of infiltrative glioma boundary based on laser-induced breakdown spectroscopy

Teng, Geer; Wang, Qianqian; Zhang, Hongwei; Xiangli, Wenting; Yang, Haifeng; Qi, Xueling; Cui, Xutai; Idrees, Bushra Sana; Wei, Kai; Khan, Muhammad Nouman

doi:10.1016/j.sab.2020.105787

Cited by 33 publications

(9 citation statements)

References 33 publications

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“…Based on this knowledge, novel diagnostic methods have been trialed for the identification of glioma tissues. For instance, laser‐induced breakdown spectroscopy has been proposed to detect the infiltrating boundary of glioma tumor and spectral lines related to calcium, potassium, and other elements, while molecular fragment bands have been verified to characterize differences in brain tissue [5] . The diagnostic methods based on the spectral signal of ions and elements are much convenient and the application cost is low.…”

Section: Figurementioning

confidence: 99%

“…For instance, laserinduced breakdown spectroscopy has been proposed to detect the infiltrating boundary of glioma tumor and spectral lines related to calcium, potassium, and other elements, while molecular fragment bands have been verified to characterize differences in brain tissue. [5] The diagnostic methods based on the spectral signal of ions and elements are much convenient and the application cost is low. Several experiments have given credence to the theory that ion activity and elemental composition are valuable biomarkers for glioma diagnosis and treatment.…”

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confidence: 99%

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Rhythmic calcium ion activity related to glioma growth reveals the mechanism of ion transmission

Teng

2023

Brain-X

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Considering their substantial morbidity and mortality rates, tumors of the brain and central nervous system (CNS) are among the most fatal cancers. [1] Among them, gliomas are the most common malignant forms of cancer. Regarding the growth mechanism of gliomas, the surrounding microenvironment and local network activity among tumor cells are key areas of interest. The oscillations of brain activity are also directly related to tumor growth and can be induced by external stimuli. Out of the relevant signals and biomarkers, calcium ion (Ca 2+ ) channels and signaling dynamics show the greatest correlation with oscillatory brain activity. The activity of intracellular Ca 2+ oscillations can be used to characterize promoters like ASCL-1 or neurogenin-2, which are related to luciferase reporter genes. [2] Characterizing these promoters helps to link the micro genes information and macro detectable information.Recent research has focused on glioma cell network communication via Ca 2+ transients and KCa3.1, a type of Ca 2+ -activated potassium ion (K + ) channel. [3] These network communications can protect glioma cells after surgery, leading to local tumor recurrence. Glioma cells are closely connected to multicellular networks, and Ca 2+ transients are transferred between individual cells through interconnecting tumor microtubes. This results in rhythmic Ca 2+ fluctuations that periodically activate signaling pathways like MAPK and NF-κB, increasing the proliferation of tumor cells and promoting tumor growth. Glioma cells that display such periodic Ca 2+ activity are known as periodic cells. Inhibiting cellular entry and chelation of Ca 2+ or inhibiting tumor cell connectivity via gap junctions can also strongly reduce the proliferation of glioma cells. As a result, the rhythmic Ca 2+ activity in glioma cell networks is a tumor cell-autonomous functional state, which is not affected by the external environment.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Figurementioning

confidence: 99%

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confidence: 99%

Rhythmic calcium ion activity related to glioma growth reveals the mechanism of ion transmission

Teng

2023

Brain-X

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“…Unfortunately, LIBS spectra in air and atmospheric pressure are adversely a ected by matrix e ects, shot-to-shot uctuations, and self-absorption [1][2][3]. Furthermore, LIBS signals su er from intensity and reproducibility degradation due to the softness, moisture content, and heterogeneity of tissue samples [4,5]. Biological tissues contain trace biometals in very low concentrations [6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Peak-Free Chemometric Laser-Induced Breakdown Spectroscopy Method for Direct Rapid Cancer Detection via Trace Metal Biomarkers in Tissue

Akinyi

Kalambuka

Dehayem-Kamadjeu

2022

Journal of Spectroscopy

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The ability to perform direct rapid analysis in air and at atmospheric pressure is a remarkable attraction of laser-induced breakdown spectroscopy (LIBS) for the diagnostic quantification of disease biomarker metals in body tissue. However, accurate trace analysis is limited by matrix effects and a pronounced background that masks the subtle (peak-free) analyte signals because tissue plasma is dense and most lines are optically thick. In this work, a peak-free chemometric LIBS method based on a single-shot (for rapidity and nondestructiveness) and an artificial neural network multivariate calibration strategy with spectral feature selection was evaluated for its utility for direct trace quantitative analysis of copper (Cu), iron (Fe), manganese (Mg), magnesium (Mg), and zinc (Zn) in model soft body tissue. The spectral signatures corresponding to the biometals (so-called because the metals are intrinsic to tissue biochemistry) were generated by spiking their known human-body-representative concentrations in molten paraffin wax. The developed multivariate analytical model achieved ≥95% accuracy as determined from the analysis of oyster tissue-certified reference material. The analytical models were tested on the liver, breast, and abdominal tissue biopsies. The results of applying the model to the clinical tissues indicated the absence or presence (including severity) of cancer as either malignant or benign, in agreement with the pathological examination report.

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“…Similar procedures using LIBS assisted with chemometric methods have also been recently demonstrated in discrimination of cervical cancer tissues 23 and infiltrative glioma boundary. 24 The recent progress has shown great potential of LIBS for elemental analysis and identification of tumor tissues.…”

Section: Introductionmentioning

confidence: 99%

Elemental analysis and identification of papillary thyroid cancer tissues using laser-induced breakdown spectroscopy

Luo

et al. 2022

J. Anal. At. Spectrom.

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Discrimination of infiltrative glioma boundary based on laser-induced breakdown spectroscopy

Cited by 33 publications

References 33 publications

Rhythmic calcium ion activity related to glioma growth reveals the mechanism of ion transmission

Rhythmic calcium ion activity related to glioma growth reveals the mechanism of ion transmission

Evaluation of a Peak-Free Chemometric Laser-Induced Breakdown Spectroscopy Method for Direct Rapid Cancer Detection via Trace Metal Biomarkers in Tissue

Elemental analysis and identification of papillary thyroid cancer tissues using laser-induced breakdown spectroscopy

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