The Spectra Of The Samples Of Patients With Esophageal Cancer Detection And Analysis

Cancer is the disease with characteristics of abnormal cell breeding and metastasizing, and become primary threat to the human health. Esophagus cancer is one of the top 10 common malignant tumors in the world with the even rapidly morbidity. The diagnosis of esophagus cancer, especially, early diagnosis is very important to patients' effective treatment and extending their lives. Although at present there are many kinds of clinical diagnosis methods for esophagus cancer, ultimately the type of tumor is determined mainly by pathological diagnosis. They are minute and complicated, influenced by individual factor, bring suffering to patients in the process. And when diagnosed, the tumor often has been advanced. If we can diagnose the disease through non-destructive, non-invasively means in early days, it has great meanings for diagnosis of esophagus cancer and treatment. The appearance of the spectroscopy, it gives the possibility of early and non-destructive diagnoses of esophagus cancer.Spectroscopy is the optics technology by analyzing samples' spectra to find out material structure information. The concretization of esophageal tissue is a very complicated process, and there exist different shapes and Constitutes between normal esophageal tissue, tumors border tissue and center tissue in cellular and molecular level. The changes of the content and structure of biological macromolecules, such as nucleic acid, protein, etc. might be influenced by histiocytes in the course of canceration, meanwhile, the corresponding changes will take place in different periods in the serum and gastric juice of the patient of cancer of the esophagus. However, these could not be accurately measured or analyzed by routine methods and instruments. Convenient, swift way was provided to measure the canceration information by the spectroscopy for it's accuracy and sensitivity.In this research, gathered three tissue samples of different position, three serum or gastric juice samples of different periods of the patient of esophagus cancer and carry on corresponding treatment. Measured and analyzed deep the influencing factor of Raman spectrum of samples. Analyzing the spectrum of samples, such as serum and gastric juice etc, and the samples' changes on the molecule level, try hard to offer the effective experiment basis for early diagnosis of esophagus cancer.The groundwork content and conclusion of this paper are as follows:1. Design the scientific collection and treatment scheme of the samples of esophagus cancer firstly. The kind of samples is overall and abundant, there are not only tissue samples of the patient of esophagus cancer, but also serum and gastric juice samples, and both come from the same patient.2. Have set up the tissue samples' model of the patient of esophagus cancer . Gathering the patient's normal tissue, tumor border tissue and tumor centre tissue, which simulate the course of tumor's sprouts, tumor's development, and tumor's ripe.3. Have set up the serum and gastric juice samples' model of the patient of esophagus cancer . Gathering the serum and gastric juice samples at 8 days after surgical resection, at the follow-up time of 3 months after leaving hospital and at the time admitted to hospital, which simulate the course of tumor's sprouts, tumor's development, and tumor's ripe.4. The influencing factors to the tissues' Raman spectra were measured and analyzed deep. Point out the factors which include tissue modality, preservative condition, section thickness, and laser wavelength.5. The conditions of better Raman spectrum, in which there is more information: (1) the exciting laser is green which wavelength is 532nm. (2) Exsomatizing time is within 1h. (3) The samples is Frost sections. (4) the thickness is between 10μm～60μm.6. From Raman spectroscopic study on tissues, we could arrive that the intensity of fluorescence of esophageal tumor tissues is less than normal tissues. The Raman peak at the 2932cm^-1 and 1650cm^-1 of esophageal tumor tissues is prominent. The Raman peak at 1650cm^-1 was found in normal tissues, not found of the Raman peak at 2932cm^-1, and found a new Raman peak at 2903 cm^-1. There is obvious difference about the peak at the 1650cm^-1 between normal tissues and tumor tissues, and the ratio of the intensity (I₁₆₅₀/I₂₉₃₂) is the same. We could diagnose the disease on the grounds of the intensity of apex in 412nm of spectrum of serum, and the coincidence rate is relatively high.