Distribution of pathogenic bacteria and microRNA expression in primary lung cancer patients complicated with infection
OBJECTIVE To analyze the distribution of pathogenic bacteria and expression of microribonucleic acid(miRNA)in patients with primary lung cancer complicated by infection.METHODS Totally 150 patients with pul-monary cancer complicated by infection admitted to the second department of thoracic surgery,Shengjing Hospital affiliated to China Medical University from Jan.2022 to Oct.2023 were enrolled in the study group,and other 165 patients with only primary lung cancer were in the control group.The pathogens and drug resistance in the study group were analyzed,serum miR-31,miR-155,miR-223 were tested and compared between the two groups.Re-ceiver operating characteristic(ROC)curve was used to analyze the predictive value of miR-31,miR-155 and miR-223 for pulmonary cancer complicated by infection.RESULTS Totally 177 strains of pathogenic bacteria were de-tected in the study group,among which 113 strains were gram-negative accounting for 63.84%,the main patho-gens were Klebsiella pneumoniae(resistance rate to ciprofloxacin,piperacillin and cotrimoxazole exceeded 70%)and Pseudomonas aerinosa(resistance rate to piperacillin,cotrimoxazole and cefotaxime exceeded 70%).There were 49 strains of gram-positive bacteria accounting for 27.68%,the main pathogen was Staphylococcus aureus(resistance rate to amoxicillin,gentamicin,chloramphenicol and oxacillin exceeded 70%).and 15 strains of fungi were isolated accounting for 8.47%.Compared with the control group,the serum levels of miR-31,miR-155 and miR-223 in the study group were high(P<0.05).The detection of miR-31,miR-155 and miR-223 alone or in combination had high predictive values for pulmonary cancer complicated by infection with the areas under the curve(AUCs)0.765,0.819,0.844 and 0.903,respectively.CONCLUSIONS Gram-negative bacteria are the dominant pathogens in patients with pulmonary cancer complicated by infection,the dominant bacteria are highly resistant to common antibiotics.Serum levels of miR-31,miR-155 and miR-223 increase in patients with pulmona-ry cancer complicated by infection,and the combination has high predictive value which might be new targets for diagnosis and treatment.
Pulmonary cancerPulmonary infectionMicroribonucleic acidEtiologyResult of drug susceptibility testingPredictive value