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Pre-Treatment Tumor Growth Rate Predicts Clinical Outcomes of Patients With Advanced Non-Small Cell Lung Cancer Undergoing Anti-PD-1/PD-L1 Therapy.

ABSTRACT: Tumor growth rate (TGR; percent size change per month [%/m]) is postulated as an early radio-graphic predictor of response to anti-cancer treatment to overcome limitations of RECIST. We aimed to evaluate the predictive value of pre-treatment TGR (TGR₀) for outcomes of advanced non-small cell lung cancer (aNSCLC) patients treated with anti-PD-1/PD-L1 monotherapy. We retrospectively screened all aNSCLC patients who received PD-1 axis inhibitors in Sun Yat-Sen University Cancer Center between August 2016 and June 2018. TGR₀ was calculated as the percentage change in tumor size per month (%/m) derived from two computed tomography (CT) scans during a "wash-out" period before the initiation of PD-1 axis inhibition. Final follow-up date was August 28, 2019. The X-tile program was used to identify the cut-off value of TGR₀ based on maximum progression-free survival (PFS) stratification. Patients were divided into two groups per the selected TGR₀ cut-off. The primary outcome was the difference of PFS between the two groups. The Kaplan-Meier methods and Cox regression models were performed for survival analysis. A total of 80 eligible patients were included (54 [67.5%] male; median [range] age, 55 [30-74] years). Median (range) TGR₀ was 21.1 (-33.7-246.0)%/m. The optimal cut-off value of TGR₀ was 25.3%/m. Patients with high TGR₀ had shorter median PFS (1.8 months; 95% CI, 1.6 - 2.1 months) than those with low TGR₀ (2.7 months; 95% CI, 0.5 - 4.9 months) (P = 0.005). Multivariate Cox regression analysis revealed that higher TGR₀ independently predicted inferior PFS (hazard ratio [HR] 1.97; 95% CI, 1.08-3.60; P = 0.026). Higher TGR₀ was also significantly associated with less durable clinical benefit rate (34.8% vs. 8.8%, P = 0.007). High pre-treatment TGR was a reliable predictor of inferior PFS and clinical benefit in aNSCLC patients undergoing anti-PD-1/PD-L1 monotherapy. The findings highlight the role of TGR₀ as an early biomarker to predict benefit from immunotherapy and could allow tailoring patient's follow-up.

SUBMITTER: He LN

PROVIDER: S-EPMC7863973 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundGreater than one-half of patients with melanoma who are treated with antibodies blocking programmed cell death protein 1 receptor (anti-PD-1) experience disease progression. The objective of the current study was to identify prognostic factors and outcomes in patients with metastatic melanoma that progressed while they were receiving anti-PD-1 therapy.MethodsThe authors evaluated 383 consecutively treated patients who received anti-PD-1 for advanced melanoma between 2009 and 2019. Patient and disease characteristics at baseline and at the time of progression, subsequent therapies, objective response rate (ORR), overall survival, and progression-free survival were assessed.ResultsOf 383 patients, 247 experienced disease progression. The median survival after progression was 6.8 months. There was no difference in survival noted after disease progression based on primary tumor subtype, receipt of prior therapy, or therapy type. However, significantly improved survival after disease progression correlated with clinical features at the time of progression, including normal lactate dehydrogenase, more favorable metastatic stage (American Joint Committee on Cancer eighth edition stage IV M1a vs M1b, M1c, or M1d), mutation status (NRAS or treatment-naive BRAF V600 vs BRAF/NRAS wild-type or treatment-experienced BRAF-mutant), decreasing tumor bulk, and progression at solely existing lesions. After progression, approximately 54.3% of patients received additional systemic therapy. A total of 41 patients received BRAF/MEK inhibition (ORR of 58.6%, including 70.4% for BRAF/MEK-naive patients), 30 patients received ipilimumab (ORR of 0%), and 11 patients received ipilimumab plus nivolumab (ORR of 27.3%).ConclusionsThe current study identified prognostic factors in advanced melanoma for patients who experienced disease progression while receiving anti-PD-1, including lactate dehydrogenase, stage of disease, site of disease progression, tumor size, and mutation status.

Project description:BackgroundThe present study aimed to investigate the determinant factors of survival in patients with pretreated advanced stage non-small cell lung cancer (NSCLC) who received anti-PD-1/PD-L1 therapy.MethodsIn this observational retrospective study, the clinical profiles and laboratory parameters of patients with NSCLC treated with anti-PD-1/PD-L1 therapy were consecutively collected. Lung Immune Prognostic Index (LIPI) was calculated based on the derived neutrophil-to-lymphocyte ratio (dNLR) and lactate dehydrogenase level (LDH). Modified Glasgow Prognostic Score (mGPS) was calculated based on serum C reactive protein and albumin, and tumor mutation burden (TMB) was calculated using a targeted next-generation sequencing panel based on 422 cancer-relevant genes. The primary and secondary end points were overall survival (OS) and progression-free survival (PFS), respectively. The Cox regression model was used to identify the potential determinant factors of survival benefit. Trained oncologists at Sun Yat-sen University Cancer Center followed all of the participants through visits to doctors' offices or via telephone calls to determine their clinical status.ResultsSeventy-three patients were included in our study. With a median follow up time of 637 days, there was a significant difference in PFS between patients with high TMB compared to those with low TMB (3.7 vs. 2.1 months; P=0.004), while no significant difference was found in OS (14.0 vs. 16.4 months; P=0.972). Patients with a good LIPI score had a significantly longer OS compared to patients with a poor LIPI score (19.2 vs. 12.6 months; P=0.010). The median OS in patients with a good and a poor mGPS was 16.8 and 4.3 months, respectively (P=0.029). In multivariate analysis, TMB was found to be significantly associated with PFS (HR, 0.38; 95% CI: 0.21-0.69; P=0.002), while LIPI score was found to be significantly associated with OS (HR, 0.50; 95% CI: 0.28-0.89; P=0.012).ConclusionsIn the present study, LIPI score was a significant determinant of OS in patients with advanced NSCLC who received ICIs; however, TMB was only associated with PFS and not associated with OS.

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Pre-Treatment Tumor Growth Rate Predicts Clinical Outcomes of Patients With Advanced Non-Small Cell Lung Cancer Undergoing Anti-PD-1/PD-L1 Therapy.

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