Product for performing assisted prediction on postoperative survival time length of esophageal squamous carcinoma patient
A technology for esophageal squamous cell carcinoma and survival time, which can be used in medical preparations containing active ingredients, drug combinations, anti-tumor drugs, etc. It can solve the problem of not finding miRNA classifiers and achieve the effect of improving the disease
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Embodiment 1
[0030] Embodiment 1, establishment of the inventive method
[0031] 1. Obtaining specimens and survival information
[0032] 119 patients with primary esophageal squamous cell carcinoma who had undergone esophageal squamous cell carcinoma resection in the Cancer Institute of the Chinese Academy of Medical Sciences and adjacent normal tissues (frozen in liquid nitrogen and then transferred to a -80°C refrigerator) were used as specimens; all patients None of them received radiotherapy or chemotherapy before operation; the survival information of the patients was obtained through telephone follow-up. Informed consent was obtained from each patient.
[0033] For each specimen, a portion was reserved for paraffin embedding, sectioned, and routinely stained with H&E for pathological examination. The pathological features of each specimen were independently tested by two case physicians and were consistent, and the proportion of cancer cells in all tumor specimens was above 60%. ...
Embodiment 2
[0073] Embodiment 2, the application of the inventive method
[0074] The cancer tissues of another 47 esophageal squamous cell carcinoma patients (patients to be tested) who underwent esophageal squamous cell carcinoma resection in the Cancer Institute of the Chinese Academy of Medical Sciences were collected, and the postoperative survival time of each patient to be tested was predicted according to the following steps:
[0075] 1. Total RNA extraction and reverse transcription
[0076] According to the method in step 2 of Example 1, the total RNA of the cancer tissues of each patient to be tested was extracted respectively.
[0077] 2. Detection of miRNA expression
[0078] The expression levels of 178 miRNAs shown in Table 2 in the cancer tissue of the patient to be tested were detected according to the method in step 3 of Example 1.
[0079] 3. Data normalization processing
[0080] Rank the above 178 miRNA expression data of each patient's cancer tissue obtained in st...
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