[<sup>18</sup>F]F-AraG Uptake in Vertebral Bone Marrow May Predict Survival in Patients with Non–Small Cell Lung Cancer Treated with Anti-PD-(L)1 Immunotherapy
Despite the systemic impact of both cancer and the associated immune response, immuno-PET is predominantly centered on assessment of the immune milieu within the tumor microenvironment. The aim of this study was to assess the value of [<sup>18</sup>F]F-AraG PET imaging as a noninvasive method for evaluation of system-wide immune status of patients with non-small cell lung cancer before starting immunotherapy. <b>Methods:</b> Eleven patients with advanced non-small cell lung cancer were imaged with [<sup>18</sup>F]F-AraG before starting immunotherapy. Diagnostic [<sup>18</sup>F]FDG PET/CT scans were analyzed to assess differences in the extent of disease among patients. SUV<sub>max</sub>, SUV<sub>mean</sub>, and total SUV (SUV<sub>total</sub>) from all tumor lesions, active lymph nodes, spleen, vertebral bone marrow, liver, thyroid, heart, and bowel were extracted from the baseline [<sup>18</sup>F]F-AraG scans, and discriminant and Kaplan-Meier analyses were performed to test their ability to predict patient response and overall survival. <b>Results:</b> The extent of the disease was variable in the patient cohort, but none of the [<sup>18</sup>F]FDG biomarkers associated with tumor burden (SUV<sub>max</sub>, total metabolic tumor volume, and total lesion glycolysis) was predictive of patient survival. The differences in the [<sup>18</sup>F]F-AraG and [<sup>18</sup>F]FDG distribution were observed both within and between lesions, confirming that they capture distinct aspects of the tumor microenvironment. Of the 3 SUV parameters studied, [<sup>18</sup>F]F-AraG SUV<sub>total</sub> provided a dynamic range suitable for stratifying tumors or patients according to their immune activity. [<sup>18</sup>F]F-AraG SUV<sub>total</sub> measured in the lumbar and sacral vertebrae differentiated between patients who progressed on therapy and those who did not with 90.9% and 81.8% accuracy, respectively. The Kaplan-Meier analysis revealed that patients with high [<sup>18</sup>F]F-AraG SUV<sub>total</sub> in the lumbar bone marrow had significantly lower probability of survival than those with a low signal (<i>P</i> = 0.0003). <b>Conclusion:</b> This study highlights the significance of assessing systemic immunity and indicates the potential of the [<sup>18</sup>F]F-AraG bone marrow signal as a predictive imaging biomarker for patient stratification and treatment guidance.
Authors
- James Sayre (ORCID: https://orcid.org/0000-0002-9620-5750)
- Michela Pierini
- Nataliya Mar (ORCID: https://orcid.org/0000-0003-2485-6201)
- Ojaswita Lokre (ORCID: https://orcid.org/0009-0005-9816-1906)
- Minal Vasanawala (ORCID: https://orcid.org/0000-0001-6100-4417)
- Timothy Perk (ORCID: https://orcid.org/0000-0002-9906-5087)
- Martin G. Pomper (ORCID: https://orcid.org/0000-0001-6753-3010)
- Erica C. Nakajima (ORCID: https://orcid.org/0000-0001-7574-7297)
- Millie Das (ORCID: https://orcid.org/0000-0001-6678-9743)
- Patrick M. Forde (ORCID: https://orcid.org/0000-0001-6925-6344)
- Jelena Levi (ORCID: https://orcid.org/0000-0002-0846-0795)
- Bin Shen (ORCID: https://orcid.org/0009-0000-2239-9380)
- Deepti Behl (ORCID: https://orcid.org/0000-0002-8247-5055)
- Laura A. Cox (ORCID: https://orcid.org/0000-0002-8836-3783)
- Hee-Don Chae
- Hilda Cabrera
- Michele Gullen
Institutions
- Palo Alto University (US)
- VA Palo Alto Health Care System (US)
- Sutter Medical Center (US)
- Sidney Kimmel Cancer Center (US)
- CellSight Technologies (United States) (US)
- IQ Solutions (US)
- Oklahoma State University Center for Health Sciences (US)
- Stanford University (US)
Publication Details
- Journal
- Journal of Nuclear Medicine
- Published
- 2024-10-24
- DOI
- https://doi.org/10.2967/jnumed.124.268253
- Citations
- 3
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.85