CircRNA composition marker for identifying non-small cell lung cancer (NSCLC) subtypes and application of circRNA composition marker
A technology for biomarkers and lung cancer, applied in the direction of DNA/RNA fragments, recombinant DNA technology, microbial measurement/inspection, etc., can solve the problems of insufficient survival rate, decrease, lack, etc., achieve accurate and reliable results, broad application prospects, The effect of fast diagnosis
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Embodiment 1
[0044] Example 1 circRNA gene chip analysis
[0045] Tissues from 8 patients with NSCLC (non-small cell lung cancer) and paired para-cancerous tissues were collected for circRNA gene chip analysis. Different circRNAs were selected based on the standard of log2FC≥1, P Figure 5 shown. From Figure 5 It can be concluded that the most significant difference is hsa_circ_0069841, followed by hsa_circ_001357, and both hsa_circ_0069841 and hsa_circ_001357 are highly expressed in NSCLC tissues.
Embodiment 2
[0047] The expression levels of hsa_circ_0069841 and hsa_circ_001357 in lung cancer paired tissues, bronchial biopsy samples and bronchial brush exfoliated cells were detected by RT-qPCR. Primer sequence:
[0048] Among them, the primer sequence of hsa_circ_0069841
[0049] F:AGACACTGATGGGACTGAGG
[0050] R:GTTGCAAAGCCTCCTCTGTT
[0051] Primer sequence of hsa_circ_001357
[0052] F: GCATTGACCCGTCTCCATC
[0053] R: CCAGGAGCTGCACGATCTTA
[0054] Primer sequence for U6
[0055] F: CTCGCTTCGGCAGCACA
[0056] R: AACGCTTCACGAATTTGCGT
[0057] Receiver operating curve (ROC curve) was drawn to explore the sensitivity and specificity of hsa_circ_0069841 and hsa_circ_001357 alone and in combination in diagnosing NSCLC, and in distinguishing adenocarcinoma from squamous cell carcinoma.
[0058] The specific experiment is as follows:
[0059] ROC curve analysis of surgically resected NSCLC (non-small cell lung cancer) paired tissues, with a sample size of 100 pairs.
[0060] Col...
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