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Published on: September 25, 2018
Plasma complement C7 as a target in non-small cell lung cancer patients to implement 3P medicine strategies
Jae Gwang Park1,2, Beom Kyu Choi3, Youngjoo Lee4
1Cancer Diagnostics Branch, Division of Clinical Research, Research Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Gyeonggi-do, Goyang-si, 10408 Republic of Korea.
Background:
Programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) immune checkpoint inhibitors (ICIs) significantly affect outcomes in non-small cell lung cancer (NSCLC) patients. However, differences in reactions toward PD-1/PD-L1 ICI among patients impose inefficient treatment. Therefore, developing a reliable biomarker to predict PD-1/PD-L1 ICI reaction is highly necessary for predictive, preventive, and personalized (3P) medicine.
Materials And Methods:
We recruited 63 patients from the National Cancer Center (NCC) and classified them into the training and validation sets. Next, 99 patients were recruited for inclusion into the external validation set at the Samsung Medical Center (SMC). Proteomic analysis enabled us to identify plasma C7 levels, which were significantly different among groups classified by their overall response to the RECIST V 1.1-based assessment. Analytical performance was evaluated to predict the PD-1/PD-L1 ICI response for each type of immunotherapy, and NSCLC histology was evaluated by determining the C7 levels via ELISA.
Results:
Plasma C7 levels were significantly different between patients with and without clinical benefits (PFS ≥ 6 months). Among the groups sorted by histology and PD-1/PD-L1 immunotherapy type, only the predicted accuracy for pembrolizumab-treated patients from both NCC and SMC was greater than 73%. In patients treated with pembrolizumab, C7 levels were superior to those of the companion diagnostics 22C3 (70.3%) and SP263 (62.1%). Moreover, for pembrolizumab-treated patients for whom the PD-L1 tumor proportion score (TPS) was < 50%, the predictive accuracy of C7 was nearly 20% higher than that of 22C3 and SP263.
Conclusion:
Evaluation of plasma C7 levels shows an accurate prediction of NSCLC patient reactions on pembrolizumab. It demonstrates plasma C7 is an alternative and supportive biomarker to overcome the predictive limitation of previous 22C3 and SP263. Thus, it is clear that clinical use of plasma C7 allows predictive diagnosis on lung cancer patients who have not been successfully treated with current CDx and targeted prevention on metastatic diseases in secondary care caused by a misdiagnosis of current CDx. Reduction of patients' financial burden and increased efficacy of cancer treatment would also enable prediction, prevention, and personalization of medical service on NSCLC patients. In other words, plasma C7 provides efficient medical service and an optimized medical economy followed which finally promotes the prosperity of 3P medicine.
Supplementary Information:
The online version contains supplementary material available at 10.1007/s13167-021-00266-x.
Insights
Plasma C7 levels accurately predict non-small cell lung cancer patient response to pembrolizumab immunotherapy. This biomarker offers improved prediction over current diagnostics, supporting personalized cancer treatment and reducing patient costs.
Area of Science:
- Oncology
- Immunotherapy
- Biomarker Discovery
Background:
- Programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) immune checkpoint inhibitors (ICIs) are crucial in non-small cell lung cancer (NSCLC) treatment.
- Variability in patient response to ICIs necessitates reliable predictive biomarkers for personalized medicine.
- Current predictive biomarkers have limitations, highlighting the need for improved diagnostic tools.
Purpose of the Study:
- To evaluate plasma C7 levels as a predictive biomarker for PD-1/PD-L1 ICI response in NSCLC patients.
- To compare the predictive accuracy of plasma C7 with existing companion diagnostics (CDx) for pembrolizumab therapy.
- To assess the potential of plasma C7 in advancing predictive, preventive, and personalized (3P) medicine for NSCLC.
Main Methods:
- Proteomic analysis to identify plasma C7 levels in NSCLC patients.
- Recruitment of training, validation, and external validation cohorts (total 162 patients).
- Enzyme-linked immunosorbent assay (ELISA) to determine C7 levels and assess predictive accuracy against RECIST V1.1 criteria and CDx (22C3, SP263).
Main Results:
- Plasma C7 levels differed significantly between patients with and without clinical benefits (PFS ≥ 6 months).
- Plasma C7 demonstrated predictive accuracy >73% for pembrolizumab-treated patients in both internal and external validation sets.
- For pembrolizumab therapy, C7 outperformed 22C3 (70.3%) and SP263 (62.1%) companion diagnostics, especially in patients with PD-L1 TPS < 50%.
Conclusions:
- Plasma C7 is a highly accurate biomarker for predicting NSCLC patient response to pembrolizumab.
- C7 serves as a valuable alternative and supportive biomarker, overcoming limitations of current CDx.
- Clinical application of plasma C7 can enhance diagnostic accuracy, enable targeted prevention, reduce patient financial burden, and promote 3P medicine in NSCLC.
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