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Association of Driver Oncogenic Alterations with SUVmax, Preoperative Serum Calcium, and Smoking Status in Surgically Resected Non-Small Cell Lung Cancer: A Retrospective Single-Center Study

Submitted:

06 May 2026

Posted:

07 May 2026

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Abstract
Background: Non-small cell lung cancer (NSCLC) is driven by distinct oncogenic al-terations with important therapeutic and prognostic implications. Noninvasive bi-omarkers that predict molecular status in surgically resectable disease may aid in their management. We investigated the association of preoperative primary-tumor SUVmax on PET/CT, smoking history, and corrected serum calcium levels with driver oncogenic alterations and PD-L1 expression in surgically resected NSCLC. Methods: We retrospectively studied 170 patients with surgically resected NSCLC at a single tertiary center. Resected tumors were assessed for EGFR, KRAS, and BRAF mu-tations, ALK and ROS1 rearrangements, and PD-L1 expression. Associations between molecular status, PD-L1 expression, and clinicometabolic parameters were evaluated using univariate analyses and multivariable regression models. Results: A driver alteration was detected in 51.2% of tumors, and 30% of evaluable cases showed high PD-L1 expression (≥50%). Corrected serum calcium was positively correlated with SUVmax and emerged as the strongest independent predictor retained in the final linear regression model, with pack-years also contributing independently. Most molecular subgroups did not show significant differences in SUVmax. EGFR-mutated tumors showed a trend toward lower SUVmax compared with EGFR wild-type tumors, although this did not reach statistical significance. Smoking history was not significantly associated with PD-L1 expression, and pack-years did not differ significantly across the molecular groups examined. Conclusions: In this cohort of surgically resected NSCLC, preoperative corrected se-rum calcium and smoking exposure were more closely associated with tumor meta-bolic activity than with specific molecular alterations. These findings suggest that simple clinical and biochemical parameters may provide complementary information, although their utility for discriminating individual molecular subgroups appears limited.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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