Cancer Management and Research · 2021 · 11 citations · 17 references
Life SciencesImmunologyOncologyCancer ImmunologyClinical ImmunologyImmunotherapyBiomarker-guided ImmunotherapyCancer ImmunotherapyCombination ImmunotherapyComplement SystemImmuno-oncology BiomarkersComplement BiomarkersComplement In CancerComplete Response AssessmentImmunotherapy BiomarkersPartial Response AssessmentProgressive Disease AssessmentResponse To ImmunotherapyTherapy Response Evaluation
Objective: To evaluate the value of serum complement component 1q (C1q) levels in predicting the efficacy of combined immunotherapy in patients with lung cancer. Methods: A total of 42 patients with lung cancer who received combined immunotherapy in the cancer center of Renmin Hospital of Wuhan University were included in this study. The clinical data of serum C1q and lactate dehydrogenase (LDH) levels before and three weeks after immunotherapy were collected. Results: Response evaluation showed that the number of patients with complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD) was 0 (0%), 26 (61.9%), 14 (33.3%), and 2 (4.8%), respectively. The CR/PR group (patients with CR or PR) showed higher p C1q (C1q level before immunotherapy) and i C1q (C1q level 3 weeks after immunotherapy) than the SD/PD group (patients with SD or PD). The LDH reduction (96.2%) and C1q increment (84.6%) in the CR/PR group 3 weeks after immunotherapy were higher than those of the SD/PD group, and the differences were statistically significant. Logistic regression analysis indicated that p C1q, i C1q, and LDH level trends 3 weeks after the treatment were significantly correlated to the efficacy of combined immunotherapy with odds ratios of 8.185, 5.500, and 0.031, respectively. Conclusion: High C1q levels before immunotherapy and increased C1q levels and decreased LDH levels 3 weeks afterward suggest good therapeutic effects of combined immunotherapy in patients with lung cancer. Serum C1q levels have certain clinical significance in predicting the efficacy of combined immunotherapy. Keywords: immunotherapy, efficacy prediction, complement component 1q
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