| Background and objectiveLung cancer has become one of the common malignancies in the world, for human health and the greatest threat to the life, is the worst prognosis of the tumor. With radiotherapy, chemotherapy is becoming increasingly mature, gene therapy technology, and the rise lung cancer multimodality therapy has reached a new level. However, due to lung cancer symptoms of late, about 80% of patients had treatment is advanced, 0 and 5-year survival rate for patients over 90%, 0 patients generally do not have any symptoms, When diagnosed with lung cancer less than 0.6% of the total. Therefore, the early diagnosis of lung cancer patients can be the key to long-term survival. Existing early diagnosis means, including: imaging studies, sputum cytology, early tumor markers, such as bronchoscopy examination. Early detection means more clinical application is not ideal, it is necessary to develop a minimally invasive, convenient and accurate diagnosis. This test is aimed at using micro-Raman Spectroscopy to lung cancer and its adjacent normal tissues Raman Spectroscopy contrast, explore the use of micro-Raman Spectroscopy for lung cancer early diagnosis of clinical feasibility. Materials and Methods1. Subjects: lung cancer patients were 56 cases had been confirmed by pathological diagnosis. Male 32, female 24; Aged 45 -76 years old, with an average age of 63.4. The contrast is normal tissue which is five centimeters away from the core of patient s tumor. 2. Sample Preparation : The sample was excised, rinse thoroughly with saline, each sample is divided into two, with a formalin-fixed paraffin sections pathological examination (all samples were pathologically diagnosed lung cancer); 4°C in a refrigerator to preserve, within 3 h micro-Raman Spectroscopy apparatus for detection. 3. Detection of indicators : 1) we will create fresh tissue specimens slice thickness of 0.5cm; 2) at room temperature the slice will be placed in the MKI-2000 micro-Raman Spectroscopy to detect. 3) Raman spectra using the excitation wavelength scanning time 632.8nm; coastdown cumulative number : once, 4)getting different datas of Raman Spectroscopy. 4. Data Processing : Friedewald statistical analysis software package for statistical analysis, Experimental data are used±standard deviation (x|-±s, %),α=0.05 as the test level. Using analysis of u test.Results1. Feature-comparision: 48 cases of lung cancer have a characteristic peak at 1408.4 cm-1 and 2932.8 cm-1, In two cases, an emerging characteristic peaks at 1408.4 cm-1, six cases no peaks; and the adjacent normal tissues were no special summit; But with origin data analysis and mapping software, 30 cases of tissue samples (lung cancer and lung tissues of the 15 patients) of the spectral data for statistical analysis and treatment found : 1) only in the tumor tissue can be extracted 1408.4cm-l Raman peaks,normal tissues have no Raman spectral peak; 2) 2932.8 cm-1 band in the two groups can provide admission to the Raman peaks, but in the guise of fluorescence signal not directly observed. Further analysis found that the normal tissue and tumor tissue in the band with different Raman peak. 2. Spectral intensity comparison : lung cancer relative intensity of the spectrum is lower than its normal tissues of about 260.Conclusions1. Cancer organization and its adjacent normal tissue micro-Raman Spectroscopy has obvious differences, Note both molecular composition and structure is different. Accordingly, the distinction could be made between lung cancer and its adjacent normal tissues. 2. Raman Spectroscopy in the early diagnosis of clinical medicine will play an important role.
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