Suppr超能文献

傅里叶变换红外光谱法在皮肤癌早期诊断中的研究

FT-IR Spectroscopy Study in Early Diagnosis of Skin Cancer.

作者信息

Kyriakidou Maria, Anastassopoulou Jane, Tsakiris Aristeidis, Koui Maria, Theophanides Theophile

机构信息

Laboratory of Radiation Chemistry & Biospectroscopy, Chemical Engineering School, National Technical University of Athens, Athens, Greece.

Department of Plastic and Reconstructive Surgery, 401 General Military Hospital of Athens, Athens, Greece.

出版信息

In Vivo. 2017 Nov-Dec;31(6):1131-1137. doi: 10.21873/invivo.11179.

Abstract

BACKGROUND/AIM: Mid-infrared spectroscopy (4000-500 cm) was used to analyze the spectral changes and differences of the characteristic absorption bands of the skin components due to cancer development for early clinical diagnosis.

MATERIALS AND METHODS

Human biopsies from basal cell carcinoma, malignant melanoma, and nevus were used, while normal skin tissue served as a control.

RESULTS

The high quality of Fourier-transform infrared (FT-IR) spectra showed that upon cancer development the intensity of the absorption band at approximately 3062 cm was increased, indicating that most of the proteins had the configuration of amide B and the β-sheet protein structure predominated. The stretching vibration bands of vCH in the region 2950-2850 cm were increased in melanoma and nevus, while were less pronounced in basal cell carcinoma due to the increased lipophilic environment. In addition, the intensity of a new band at 1744 cm, which is assigned to aldehyde, was increased in melanoma and nevus and appeared as a shoulder in the spectra of normal skin. The absorption band of amide I at 1650 cm was split into two bands, at 1650 cm and 1633 cm, due to the presence of both α-helix and random coil protein conformations for melanoma and nevus. This was confirmed from the amide II band at 1550 cm, which shifted to lower frequencies at 1536 cm and 1540 cm for basal cell carcinoma and melanoma, respectively, indicating a damage of the native structure of proteins. The bands at 841 and 815 cm, which are assigned to B-DNA and Z-DNA, respectively, indicated that only the bands of the cancerous Z-DNA form are pronounced in melanoma, while in BCC both the characteristic bands of B-DNA and Z-DNA forms are found.

CONCLUSION

It is proposed that the bands described above could be used as "diagnostic marker" bands for DNA forms, in the diagnosis of skin cancer.

摘要

背景/目的:利用中红外光谱(4000 - 500厘米)分析因癌症发展导致的皮肤成分特征吸收带的光谱变化及差异,以用于早期临床诊断。

材料与方法

使用来自基底细胞癌、恶性黑色素瘤和痣的人体活检样本,同时以正常皮肤组织作为对照。

结果

傅里叶变换红外(FT - IR)光谱的高质量显示,癌症发展时,约3062厘米处吸收带的强度增加,表明大多数蛋白质具有酰胺B的构型且β - 折叠蛋白质结构占主导。在2950 - 2850厘米区域,vCH的伸缩振动带在黑色素瘤和痣中增加,而在基底细胞癌中由于亲脂环境增加不太明显。此外,在1744厘米处归属于醛的新吸收带强度在黑色素瘤和痣中增加,并在正常皮肤光谱中以肩峰形式出现。由于黑色素瘤和痣中同时存在α - 螺旋和无规卷曲蛋白质构象,1650厘米处的酰胺I吸收带分裂为1650厘米和1633厘米处的两个带。这从1550厘米处的酰胺II带得到证实,对于基底细胞癌和黑色素瘤,该带分别移至较低频率的1536厘米和1540厘米,表明蛋白质天然结构受损。分别归属于B - DNA和Z - DNA的841厘米和815厘米处的带表明,仅癌性Z - DNA形式的带在黑色素瘤中明显,而在基底细胞癌中同时发现B - DNA和Z - DNA形式的特征带。

结论

建议上述吸收带可作为DNA形式的“诊断标志物”带,用于皮肤癌的诊断。

相似文献

1
FT-IR Spectroscopy Study in Early Diagnosis of Skin Cancer.
In Vivo. 2017 Nov-Dec;31(6):1131-1137. doi: 10.21873/invivo.11179.
2
Infrared and Raman Spectroscopic Studies of Molecular Disorders in Skin Cancer.
In Vivo. 2019 Mar-Apr;33(2):567-572. doi: 10.21873/invivo.11512.
5
Characterization of malignant melanoma using vibrational spectroscopy.
ScientificWorldJournal. 2005 Mar 18;5:173-82. doi: 10.1100/tsw.2005.1.
7
Discriminating nevus and melanoma on paraffin-embedded skin biopsies using FTIR microspectroscopy.
Biochim Biophys Acta. 2005 Aug 5;1724(3):262-9. doi: 10.1016/j.bbagen.2005.04.020.
9
Paradigmatic cases of pigmented lesions: How to not miss melanoma.
J Dermatol. 2016 Dec;43(12):1433-1437. doi: 10.1111/1346-8138.13522. Epub 2016 Jul 12.
10
Accuracy of clinical diagnosis of skin lesions.
Br J Dermatol. 2008 Sep;159(3):661-8. doi: 10.1111/j.1365-2133.2008.08715.x. Epub 2008 Jul 4.

引用本文的文献

2
The Utility of Fourier Transform Infrared Spectroscopy (FTIR) for Detecting Exercise-Induced Changes in the Human Hand Epidermis.
J Biophotonics. 2025 Sep;18(9):e202500173. doi: 10.1002/jbio.202500173. Epub 2025 Jun 22.
3
Protein Analysis by FT-IR/ATR Spectroscopy.
Methods Mol Biol. 2025;2908:263-275. doi: 10.1007/978-1-0716-4434-8_17.
4
Infrared Imaging Combined with Machine Learning for Detection of the (Pre)Invasive Pancreatic Neoplasia.
ACS Pharmacol Transl Sci. 2025 Mar 20;8(4):1096-1105. doi: 10.1021/acsptsci.4c00689. eCollection 2025 Apr 11.
5
Early Mortality Prediction in Intensive Care Unit Patients Based on Serum Metabolomic Fingerprint.
Int J Mol Sci. 2024 Dec 19;25(24):13609. doi: 10.3390/ijms252413609.
6
Cervical Squamous Cell Carcinoma Diagnosis by FTIR Microspectroscopy.
Molecules. 2024 Feb 20;29(5):922. doi: 10.3390/molecules29050922.
7
Olive Oil-Based Reverse Microemulsion for Stability and Topical Delivery of Methotrexate: In Vitro.
ACS Omega. 2024 Feb 2;9(6):7012-7021. doi: 10.1021/acsomega.3c08875. eCollection 2024 Feb 13.
8
Biomolecular alterations detected in multiple sclerosis skin fibroblasts using Fourier transform infrared spectroscopy.
Front Cell Neurosci. 2023 Sep 4;17:1223912. doi: 10.3389/fncel.2023.1223912. eCollection 2023.
10
The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery.
Diagnostics (Basel). 2022 Dec 21;13(1):22. doi: 10.3390/diagnostics13010022.

本文引用的文献

2
Low-Molecular-Weight Hydrophilic and Lipophilic Antioxidants in Nonmelanoma Skin Carcinomas and Adjacent Normal-Looking Skin.
Skin Pharmacol Physiol. 2016;29(6):324-331. doi: 10.1159/000453456. Epub 2017 Jan 19.
4
6
Skin β-endorphin mediates addiction to UV light.
Cell. 2014 Jun 19;157(7):1527-34. doi: 10.1016/j.cell.2014.04.032.
9
Design and analysis of a squamous cell carcinoma in vitro model system.
Biomaterials. 2013 Oct;34(30):7401-7. doi: 10.1016/j.biomaterials.2013.06.016. Epub 2013 Jul 1.
10
Aberrant splicing, hyaluronan synthases and intracellular hyaluronan as drivers of oncogenesis and potential drug targets.
Curr Cancer Drug Targets. 2013 May;13(4):347-61. doi: 10.2174/1568009611313040001.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验