Predictive value of the biomarker of peripheral blood of lung carcinoma patients responding to PD-1 treatment: A real-word study.

Authors

null

Shu Su

The Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, China

Shu Su , Xin Lv , Fangjun Chen , Liang Qi , Wei Ren , Lixia Yu , Xiaoyan Yang , Tingting Yan , Shanping Li , Jia Wei , Baorui Liu , Lifeng Wang

Organizations

The Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, China, The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, China, The Comprehensive Cancer Center of Drum-Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, China, The Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China

Research Funding

No funding received

Background: The introduction of anti-PD-1 antibody has greatly improved the clinical outcomes of patients with lung cancer. Pre-treatment biomarkers in peripheral blood such as neutrophil-lymphocyte ratio, cytokine level, or clinical features such as BMI, lactate dehydrogenase, and prognostic nutrition index have been shown to be predictive markers treated by immunotherapy. Here we retrospectively analyzed the efficacy of PD-1 antibody-based therapy in patients with locally advanced un-operable or metastatic lung cancer patients and report an association between peripheral blood biomarkers with clinical response in these patients. Methods: We conducted a single-center study by including medical record data for lung cancer patients treated with PD-1 antibody first-line or posterior-line either as monotherapy or in combination with chemotherapy. The patients enrolled from March 2020 to December 2021 were treated with albumin paclitaxel or pemetrexed plus carboplatin、lobaplatin or cisplatin combined with PD-1 antibody. The clinical response were assessed after 2 circles of therapy. Peripheral blood were drawn prior to therapy and post therapy. Multiple Th1 and Th2 cytokines levels in the blood serum were evaluated and phenotype of T cells of peripheral blood were also analyzed. The association between cytokines levels, T cells phenotype and clinical response were investigated. Results: 61 patients with stage IIIA-IV lung cancer were enrolled in the study. 40 non-squamous NSCLC patients, 15 Squamous NSCLC patients and 6 SCLC patients received PD-1 antibody with chemotherapy. 40(65.6%)patients were first-line therapy and 21(34.4%) were posterior-line treatment. 42(68.9%) patients achieved partial response(PR), 7 (11.5%) patients were stable(SD) and 12(19.6%) patients had progressed disease (PD). The disease control rare(DCR) was 80.4%. In DCR group, higher levels of IFN-γ(P = 0.023,P < 0.05), TNF-α(P = 0.007,P < 0.05)and IL-5 (P = 0.002, P < 0.005) were detected in peripheral blood prior to the treatment comparing to PD group. Besides, the reduction of lymphocyte absolute counts in peripheral blood after PD-1 antibody-based therapy was associated with disease progression(P = 0.023,P < 0.05). Furthermore, higher CD8+CD27+T cells in peripheral blood before therapy was associated with worse clinical response(P = 0.019,P < 0.05) and higher ratio of CD4+CD45RO+CD62L+/ CD4+CD45RO+CD62L-seems to related with better clinical response, though without statistic difference due to limited sample size. Conclusions: These results suggest for the first time that serum IFN-γ, TNF-α and IL-5 levels could predict clinical efficacy with anti-PD-1 blockade therapy in lung cancer patients. Other biomarkers include lymphocyte counts or phenotype may also have predictive value. Large prospective studies need to further clarify the value of these biomarkers.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Lung Cancer—Non-Small Cell Local-Regional/Small Cell/Other Thoracic Cancers

Track

Lung Cancer

Sub Track

Biologic Correlates

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr e20549)

DOI

10.1200/JCO.2022.40.16_suppl.e20549

Abstract #

e20549

Abstract Disclosures