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Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Radiomics predicts survival of patients with advanced non-small cell lung cancer undergoing PD-1 blockade using
Valerio Nardone1, Paolo Tini2, Pierpaolo Pastina2
1Unit of Radiation Oncology, Integrated Department of Diagnostic Radiology and Radiotherapy, Ospedale del Mare, I-80147 Naples, Italy.
Abstract:
Immune checkpoint blockade is an emerging anticancer strategy, and Nivolumab is a human mAb to PD-1 that is used in the treatment of a number of different malignancies, including non-small cell lung cancer (NSCLC), kidney cancer, urothelial carcinoma and melanoma. Although the use of Nivolumab prolongs survival in a number of patients, this treatment is hampered by high cost. Therefore, the identification of predictive markers of response to treatment in patients is required. In this context, PD-1/PDL1 blockade antitumor effects occur through the reactivation of a pre-existing immune response, and the efficacy of these effects is strictly associated with the presence of necrosis, hypoxia and inflammation at the tumour sites. It has been indicated that these events can be evaluated by specific assessments using a computed tomography (CT) texture analysis (TA) or radiomics. Therefore, a retrospective study was performed, which aimed to evaluate the potential use of this analysis in the identification of patients with NSCLC who may benefit from Nivolumab treatment. A retrospective analysis was performed of 59 patients with metastatic NSCLC who received Nivolumab treatment between January 2015 and July 2017 at Siena University Hospital (35 patients, training dataset), Catanzaro University Hospital and Reggio Calabria Grand Metropolitan Hospital, Italy (24 patients, validation dataset). Pre- and post-contrast CT sequences were used to contour the gross tumour volume (GTV) of the target lesions prior to Nivolumab treatment. The impact of variations on contouring was analysed using two delineations, which were performed on each patient, and the TA parameters were tested for reliability using the Intraclass Coefficient Correlation method (ICC). All analyses for the current study were performed using LifeX Software©. Imaging, clinical and pathological parameters were correlated with progression free survival and overall survival (OS) using Kaplan Meier analysis. An external validation testing was performed for the TA Score using the validation dataset. A total of 59 patients were included in the analysis of the present study. The reliability ICC analysis of 14 TA parameters indicated a highly reproducibility (ICC >0.70, single measure) in 12 (85%) pre- contrast and 13 (93%) post-contrast exams. A specific cut-off was detected for each of the following parameters: volume (score 1 >36 ml), histogram entropy (score 1 > 1.30), compacity (score 1 <3), gray level co-occurrence matrix (GLCM)-entropy (score 1 >1.80), GLCM-Dissimilarity (score 1 >5) and GLCM-Correlation (score 1<0.54). The global texture score allowed the classification of two subgroups of Low (Score 0-1; 36 patients; 61%) and High Risk patients (Score >1; 23 patients; 39%) that respectively, showed a median OS of 26 (mean +/- SD: 18 +/- 1.98 months; 95% CI 14-21 months) and 5 months (mean +/- SD: 6 +/- 0.99 months; 95% CI: 4-8 months; P=0.002). The current study indicated that TA parameters can identify patients that will benefit from PD-1 blockage by defining the radiological settings that are potentially suggestive of an active immune response. These results require further confirmation in prospective trials.
Insights
Computed tomography texture analysis (TA) can predict patient response to Nivolumab immunotherapy for non-small cell lung cancer (NSCLC). This radiomics approach identifies patients likely to benefit from PD-1 blockade, optimizing treatment selection.
Area of Science:
- Oncology
- Radiology
- Immunotherapy
Background:
- Immune checkpoint inhibitors like Nivolumab offer survival benefits but are costly.
- Predictive biomarkers are needed to identify non-small cell lung cancer (NSCLC) patients who will respond to PD-1 blockade.
- Tumor necrosis, hypoxia, and inflammation, indicative of immune response, are associated with PD-1/PDL1 blockade efficacy.
Purpose of the Study:
- To evaluate the potential of computed tomography (CT) texture analysis (TA) as a predictive marker for Nivolumab treatment response in NSCLC patients.
- To correlate TA parameters with progression-free survival and overall survival (OS).
Main Methods:
- Retrospective analysis of 59 metastatic NSCLC patients treated with Nivolumab.
- Texture analysis (TA) performed on pre- and post-contrast CT scans to assess gross tumor volume (GTV).
- Reliability of TA parameters assessed using Intraclass Coefficient Correlation (ICC); correlation with survival using Kaplan-Meier analysis.
Main Results:
- 12/14 pre-contrast and 13/14 post-contrast TA parameters showed high reproducibility (ICC >0.70).
- Specific cut-offs were identified for volume, histogram entropy, compacity, GLCM-entropy, GLCM-Dissimilarity, and GLCM-Correlation.
- A global TA score classified patients into Low (61%) and High Risk (39%) subgroups, with significantly different median OS (26 vs. 5 months, P=0.002).
Conclusions:
- CT texture analysis (TA) parameters can identify NSCLC patients likely to benefit from PD-1 blockade.
- TA may define radiological features suggestive of an active immune response, aiding treatment selection.
- Further prospective trials are needed to confirm these findings.
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