Using relatively primitive tools in the 1920s, Otto Warburg demonstrated that tumor cells show an increased dependence on glycolysis to meet their energy needs, regardless of whether they were well-oxygenated or not. High rates of glucose uptake, fueling glycolysis, are now used clinically to identify cancer cells. However, the Warburg effect does not account for the metabolic diversity that has been observed amongst cancer cells nor the influences that might direct such diversity. Modern tools have shown that the oncogenes, variable hypoxia levels, and the utilization of different carbon sources affect tumor evolution. These influences may produce metabolic symbiosis, in which lactate from a hypoxic, glycolytic tumor cell population fuels ATP production in the oxygenated region of a tumor. Lactate, once considered a waste product of glycolysis, is an important metabolite for oxidative phosphorylation in many tissues. While much is known about how muscle and the brain use lactate in oxidative phosphorylation, the contribution of lactate in tumor bioenergetics is less defined. A refocused perspective of cancer metabolism that recognizes metabolic diversity within a tumor offers novel therapeutic targets by which cancer cells may be starved from their fuel sources, and thereby become more sensitive to traditional cancer treatments.
On May 28, 2021, the FDA granted accelerated approval to sotorasib (Lumakras, Amgen) for the treatment of adults with advanced non–small cell lung cancer (NSCLC) with a Kirsten rat sarcoma proto-oncogene (KRAS) G12C mutation who have received at least one prior systemic therapy. The approval was based on CodeBreaK 100 (Study 20170543), a dose-escalation and dose-expansion trial in patients with an advanced, KRAS G12C-mutated, solid tumor. The overall response rate (ORR) observed in patients with KRAS G12C-mutated NSCLC treated with sotorasib (n = 124) was 36% [95% confidence interval (CI), 28–45]. The median duration of response was 10.0 months (95% CI, 6.9–not estimable). The most common adverse reactions (≥20%) were diarrhea, musculoskeletal pain, nausea, fatigue, hepatotoxicity, and cough. This is the first approval of a targeted therapy for KRAS G12C-mutated NSCLC. Because of pharmacokinetic data and ORRs of patient cohorts who took sotorasib at lower doses in the dose-escalation portion of CodeBreaK 100, a dose comparison study is being conducted as a post-marketing requirement.
Background. Patients with non-small cell lung cancer (NSCLC) may develop pneumonitis after thoracic radiotherapy (RT) and immune-checkpoint inhibitors (ICI). We hypothesize that distinct morphologic features are associated with different pneumonitis etiologies. Materials and Methods. We systematically compared CT features of RT vs. ICI-pneumonitis. Clinical and imaging features were tested for association with pneumonitis severity. Lastly, we constructed an exploratory radiomics-based machine learning (ML) model to discern pneumonitis etiology. Results. Between 2009 and 2019, 82 patients developed pneumonitis: 29 after thoracic RT, 23 after ICI, and 30 after RT+ICI. Fifty patients had grade 2 pneumonitis, 22 grade 3, and 7 grade 4. ICI-pneumonitis was more likely bilateral (65% vs. 28%, p=0.01), involved more lobes (66% vs. 45% involving ≥3 lobes), and was less likely to have sharp border (17% vs. 59%, p=0.004) compared to RT-pneumonitis. Pneumonitis morphology after RT+ICI was heterogeneous, with 47% bilateral, 37% involving ≥3 lobes and 40% sharp borders. Among all patients, risk factors for severe pneumonitis included poor performance status, smoking history, worse lung function, bilateral and multifocal involvement on CT. A ML model based on seven radiomic features alone could distinguish ICI from RT-pneumonitis with an area under the receiver-operating curve of 0.76, and identified the predominant etiology after RT+ICI concordant with multidisciplinary consensus. Conclusion. RT and ICI-pneumonitis exhibit distinct spatial features on CT. Bilateral and multifocal lung involvement is associated with severe pneumonitis. Integrating these morphologic features in the clinical management of patients who develop pneumonitis after RT and ICI may improve treatment decision making. The Oncologist ;9999:• • Implications for Practice: Patients with non-small cell lung cancer often receive thoracic radiation and immune checkpoint inhibitors (ICI), both of which can cause pneumonitis. In this study, we identified similarities and differences in pneumonitis morphology on CT scans among pneumonitis due to RT alone, ICI alone, and the combination of both. Patients who have bilateral CT changes involving ≥3 lobes are more likely to have ICI-pneumonitis, while those with unilateral CT changes with sharp borders are more likely to have radiation pneumonitis. After RT and/or ICI, severe pneumonitis is associated with bilateral and multifocal CT changes. Our results can help guide clinicians in triaging patients who develop pneumonitis after radiation and during ICI treatment.
9000 Background: FDA-approved 1L treatment options for patients with PD-L1-high advanced NSCLC (PD-L1 score ≥50%) include IO ± chemo (± anti-angiogenics) but it is unclear if chemo substantially improves efficacy outcomes when added to IO in this patient population. Methods: Data was pooled from 12 randomized controlled trials that investigated anti-PD-(L)1 regimens ± chemo for the 1L treatment of patients with advanced NSCLC. PD-L1 score was defined as the proportion of tumor cells stained by the assay and analysis was conducted for patients with tumor PD-L1 score ≥50%. OS, PFS, and ORR were compared between chemo-IO and IO alone via a pooled analysis. Median survival times were estimated using Kaplan-Meier methods. Hazard ratios were estimated using Cox proportional hazards models stratified by trial; odds ratios were estimated using a logistic regression model with trial as a covariate. All analyses were adjusted for age, sex, race, ECOG, histology and smoking status. Results: A total of 3,189 patients with NSCLC and PD-L1 score ≥50% were identified for this analysis. Baseline characteristics were: 38% ages 65-74 years and 11% ages ≥75 years; 69% male; 80% White; 66% ECOG ≥1; and 89% former/current smokers. Median OS in the pooled chemo-IO ( N=455) and IO-only ( N=1,298) arms was 25.0 vs 20.9 months (HR 0.82; 95% CI: 0.62, 1.08); median PFS was 9.6 vs 7.1 months, respectively (HR 0.69; 95% CI: 0.55, 0.87). ORR was higher with chemo-IO than with IO alone (61% vs 43%; Odds ratio 1.2, 95% CI: 1.1, 1.3). Conclusions: This exploratory, hypothesis-generating pooled analysis suggests that most subgroups of patients with advanced NSCLC with PD-L1 score ≥50% receiving FDA-approved chemo-IO regimens may have OS and PFS outcomes that are comparable with or better than IO-only regimens. Patients ≥75 years of age receiving chemo-IO may not have improved outcomes over IO. These results support shared decision-making that balances potential benefits and risks of adding chemo to IO regimens based on patient factors that may impact tolerability. [Table: see text]
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