Diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma based on Raman spectroscopy and support vector machine

Zheng, Cheng-Xia; Song, Qing; Wang, Jing; Lü, Guodong; Li, Hongyi; Lu, Xihong; Ma, Cailing; Tang, Jun; Yue, Xiaxia

doi:10.1016/j.pdpdt.2019.05.029

Cited by 37 publications

(28 citation statements)

References 25 publications

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“…The Raman spectra acquired with 633 and 785 nm laser lines shown strong background fluorescence, inhibiting the analysis of the acquired data. The Raman spectra acquired with the 532 nm laser presented much lower fluorescence, and thus, it was chosen for the excitation of all samples for further analysis, an approach applied by other authors [16,21,22,[26][27][28]. Even so, it was impossible to obtain clear Raman signals in three out of the seven biopsy sections, due to laser-induced fluorescence.…”

Section: Resultsmentioning

confidence: 99%

Discrimination of Benign and Malignant Lesions in Canine Mammary Tissue Samples Using Raman Spectroscopy: A Pilot Study

Dantas

Soares

Novais

et al. 2020

Animals

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Breast cancer is a health problem that affects individual life quality and the family system. It is the most frequent type of cancer in women, but men are also affected. As an integrative approach, comparative oncology offers an opportunity to learn more about natural cancers in different species. Methods based on Raman spectroscopy have shown significant potential in the study of the human breast through the fingerprinting of biological tissue, which provides valuable information that can be used to identify, characterize and discriminate structures in breast tissue, in both healthy and carcinogenic environments. One of the most important applications of Raman spectroscopy in medical diagnosis is the characterization of microcalcifications, which are highly important diagnostic indicators of breast tissue diseases. Raman spectroscopy has been used to analyze the chemical composition of microcalcifications. These occur in benign and malignant lesions in the human breast, and Raman helps to discriminate microcalcifications as type I and type II according to their composition. This paper demonstrates the recent progress in understanding how this vibrational technique can discriminate through the fingerprint regions of lesions in unstained histology sections from canine mammary glands.

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Section: Resultsmentioning

confidence: 99%

Discrimination of Benign and Malignant Lesions in Canine Mammary Tissue Samples Using Raman Spectroscopy: A Pilot Study

Dantas

Soares

Novais

et al. 2020

Animals

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“…The peak assignments are listed in Table 3 according to the reported literature. [11,14,[21][22][23][24][25][26][27][28] The HGG and LGG group peak intensity changes compared with the normal group are shown in Table 2. The HGG group had lower intensities than the LGG group at all specific peaks except 749 cm −1 .…”

Section: Spectral Analysismentioning

confidence: 99%

“…T A B L E 3 Raman peak attribution in normal and glioma serum [11,14,[21][22][23][24][25][26][27][28] Raman shift (cm − PCA-LDA for glioma diagnosis, an ROC curve was produced, as shown in Figure 3b, and the accuracy of the discriminant analysis results was evaluated by the area under the ROC curve. Therefore, we performed a pairwise comparison of the PCA-LDA diagnostic algorithm results.…”

Section: Principal Component Analysis (Pca) and Linear Discriminantmentioning

confidence: 99%

“…Blood serum is considered an abundant reservoir of many clinical biomarkers (including proteins, lipids, nucleic acids, and amino acids) reflecting the health status of humans and contains essential biochemical information for the diagnosis, treatment, or prognosis of diseases. [9] Recently, many studies have shown that Raman spectroscopy has been broadly applied for the diagnosis of cancers or other metabolic diseases, such as nasopharyngeal carcinoma, prostate cancer, gastric cancer, breast cancer, liver cancer, cervical cancer, lung cancer, and high renin hypertension, using serum [8,[10][11][12][13][14] and has obtained satisfying results with high sensitivity and specificity when combined with a corresponding classification method. Biochemical changes in serum relating to a disease can lead to specific changes in Raman spectra.…”

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confidence: 99%

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Label‐free serum detection based on Raman spectroscopy for the diagnosis and classification of glioma

Zhang

Han²,

Sun

et al. 2020

J Raman Spectroscopy

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Glioma is the most prevalent malignant cancer in the central nervous system and can cause significant mortality and morbidity. A rapid, convenient, accurate, and relatively noninvasive diagnostic method for glioma is important and urgently needed. In this study, we investigated the feasibility of using Raman spectroscopy to discriminate patients with glioma from healthy individuals. Serum samples were collected from healthy individuals (n = 86) and patients with glioma [high-grade glioma (HGG) n = 75, low-grade glioma (LGG) n = 60]. All spectra were collected with a 785-nm wavelength laser in the range of 400-1800 cm −1. A total of three spectra were recorded for each sample, and every spectrum was integrated for 12 s and averaged over five accumulations. Principal component analysis and linear discriminant analysis models were combined to classify the Raman spectra of different groups. The correct classification ratios were 95.35, 93.33, and 93.34% for the normal, HGG, and LGG groups, respectively, and the total accuracy was 94.12%. The sensitivity, specificity, and accuracy of differentiating the HGG group from the normal group were 96.00, 96.51, and 96.27%, respectively, with an area under the curve of 0.997; in addition, the sensitivity, specificity, and accuracy of differentiating the LGG group from the normal group were 96.67%, 98.84%, and 97.95%, respectively, with an area under the curve of 0.999. Our study results suggested that the rapid and noninvasive detection method based on principal component analysis and linear discriminant analysis combined with Raman spectroscopy is a highly promising tool for the early diagnosis of glioma. K E Y W O R D S classification, diagnosis, glioma, Raman spectroscopy, serum 1 | BACKGROUND Brain tumors have become one of the top 10 malignant tumors that endanger the health of people as they age and with changes in environmental factors, and the incidence rate of these tumors is still on the rise. [1] Glioma, the most prevalent malignant cancer in the central nervous system, accounts for 40-50% of all intracranial Abbreviations: ANOVA, one-way analysis of variance; AUC, area under curve; HGG, high-grade glioma; LGG, low-grade glioma; PCA-LDA, principal component analysis and linear discriminant analysis; ROC, receive operating characteristic; WHO, World Health Organization.

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“…Cervical cancer typically develops from precancerous changes over 10 to 20 years [3]. Around 90% of cervical cancer cases are squamous cell carcinomas, and 10% of cases are adenocarcinomas with a small number of cases involving other types of carcinomas [4]. Although standard treatments such as surgery and combination of chemotherapy and radiotherapy have significantly improved the clinical outcomes of cervical cancer patients in early stages, the clinical management of cervical cancer in advanced stages remains a challenge.…”

Section: Introductionmentioning

confidence: 99%

The Anti-Proliferative Activity of the Hybrid TMS-TMF-4f Compound Against Human Cervical Cancer Involves Apoptosis Mediated by STAT3 Inactivation

Hong

Chung

Shin

et al. 2019

Cancers

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We previously reported the potential anti-proliferative activity of 3-(5,6,7-trimethoxy-4-oxo-4H-chromen-2-yl)-N-(3,4,5-trimethoxyphenyl) benzamide (TMS-TMF-4f) against human cancer cells; however, the underlying molecular mechanisms have not been investigated. In the present study, TMS-TMF-4f showed the highest cytotoxicity in human cervical cancer cells (HeLa and CaSki) and low cytotoxicity in normal ovarian epithelial cells. Annexin V-FITC and propidium iodide (PI) double staining revealed that TMS-TMF-4f-induced cytotoxicity was caused by the induction of apoptosis in both HeLa and CaSki cervical cancer cells. The compound TMS-TMF-4f enhanced the activation of caspase-3, caspase-8, and caspase-9 and regulated Bcl-2 family proteins, which led to mitochondrial membrane potential (MMP) loss and resulted in the release of cytochrome c and Smac/DIABLO into the cytosol. Also, TMS-TMF-4f suppressed both constitutive and IL-6-inducible levels of phosphorylated STAT3 (p-STAT3) and associated proteins such as Mcl-1, cyclin D1, survivin, and c-Myc in both cervical cancer cells. STAT-3 overexpression completely ameliorated TMS-TMF-4f-induced apoptotic cell death and PARP cleavage. Docking analysis revealed that TMS-TMF-4f could bind to unphosphorylated STAT3 and inhibit its interconversion to the activated form. Notably, intraperitoneal administration of TMS-TMF-4f (5, 10, or 20 mg/kg) decreased tumor growth in a xenograft cervical cancer mouse model, demonstrated by the increase in TUNEL staining and PARP cleavage and the reduction in p-STAT3, Mcl-1, cyclin D1, survivin, and c-Myc expression levels in tumor tissues. Taken together, our results suggest that TMS-TMF-4f may potentially inhibit human cervical tumor growth through the induction of apoptosis via STAT3 suppression.

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Diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma based on Raman spectroscopy and support vector machine

Cited by 37 publications

References 25 publications

Discrimination of Benign and Malignant Lesions in Canine Mammary Tissue Samples Using Raman Spectroscopy: A Pilot Study

Discrimination of Benign and Malignant Lesions in Canine Mammary Tissue Samples Using Raman Spectroscopy: A Pilot Study

Label‐free serum detection based on Raman spectroscopy for the diagnosis and classification of glioma

The Anti-Proliferative Activity of the Hybrid TMS-TMF-4f Compound Against Human Cervical Cancer Involves Apoptosis Mediated by STAT3 Inactivation

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