Method for distinguishing epithelial carcinoma property by single cell Raman spectrum
A technology of Raman spectroscopy and epithelial cells, which is applied in Raman scattering, biochemical equipment and methods, measurement/testing of microorganisms, etc., which can solve the problems of spectral differences, loss of biological activity of tissue samples, detection technology is difficult to avoid interference, etc question
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[0027] (1) Preparation of single-cell samples and maintenance of biological activity
[0028] The present invention can share the sample source with the current routine medical pathological detection in the hospital. Usually, in colorectal tumor surgery, in addition to tumor tissue removal, a small amount of normal mucosal tissue near the lesion site is also removed, and the latter is used as a normal control in medical pathological testing.
[0029] The sample processing steps of the present invention are as follows: Immediately after the operation of the colorectal tumor patient, about 0.5 cm each was cut from the surgically removed fresh tumor tissue and normal mucosal tissue under aseptic conditions. 3 , the latter was taken from the mucosa more than 10cm away from the tumor. Place the collected tissue in D-Hanks balanced salt solution containing penicillin 300U / ml and streptomycin 300μg / ml for 20 minutes, and then cut it into a size less than 1mm 3 The fragments of the ...
Embodiment 1
[0077] Zhu X X, male, 52 years old, pathologically diagnosed as sigmoid colon ulcer type adenocarcinoma, highly to moderately differentiated, adopts the method of the present invention to carry out double-blind detection. The doctor provided single-cell samples from the lesion and non-lesion sites, and the spectral detection correctly identified 17 of the 20 normal cells and 17 of the 20 cancer cells. The results showed that the patient was indeed suffering from cancer. Figure 5 For embodiment 1 diagnosis result.
Embodiment 2
[0079] Shen X X, male, 64 years old, pathologically diagnosed as rectal infiltrative ulcer type adenocarcinoma, well differentiated, adopting the method of the present invention to carry out double-blind detection. The doctor provided single-cell samples from the lesion and non-lesion sites. The spectral detection correctly identified all 20 normal cells and 16 of the 20 cancer cells. The results showed that the patient was indeed suffering from cancer. Figure 6 It is embodiment 2 diagnosis result.
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