Radiomics features determined from chest CT of pure-solid clinical and pathologic stage IA non–small cell lung cancer enabled survival risk stratification. Background Radiomics-based biomarkers enable the prognostication of resected non–small cell lung cancer (NSCLC), but their effectiveness in clinical stage and pathologic stage IA pure-solid tumors ...
FGfor the Multi-omics Classifier for Pulmonary Nodules (MISSION) Collaborative Group
for the Multi-omics Classifier for Pulmonary Nodules (MISSION) Collaborative Group
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The deep learning signature could help accurately predict N2 disease and stratify prognosis in patients with clinical stage I non–small cell lung cancer. Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage I non–small cell lung cancer (NSCLC). Purpose To develop a deep learning signature for N2 metasta...
Occult nodal metastasis (ONM) plays a significant role in comprehensive treatments of non-small cell lung cancer (NSCLC). This study aims to develop a deep learning signature based on positron emission tomography/computed tomography to predict ONM of clinical stage N0 NSCLC. An internal cohort (n = 1911) is included to construct the deep learning nodal metastasis signature (DLNMS). Subsequently, an external cohort (n = 355) and a prospective cohort (n = 999) are utilized to fully validate the predictive performances of the DLNMS. Here, we show areas under the receiver operating characteristic curve of the DLNMS for occult N1 prediction are 0.958, 0.879 and 0.914 in the validation set, external cohort and prospective cohort, respectively, and for occult N2 prediction are 0.942, 0.875 and 0.919, respectively, which are significantly better than the single-modal deep learning models, clinical model and physicians. This study demonstrates that the DLNMS harbors the potential to predict ONM of clinical stage N0 NSCLC.
Lung cancer, predominantly non-small cell lung cancer (NSCLC), remains a significant global health challenge, with limited therapeutic options for patients with KRAS-mutated tumors. Herein, a copper-based metal-organic framework (Cu-MOF) was applied as a novel cuproptosis-mediated nanoplatform for lung cancer therapy. Cu-MOF would disassemble and liberate copper ions under the acidic microenvironment of lysosomes of cancer cells, initiating a cascade of cellular events. The released copper ions catalyzes the Fenton reaction, generating hydroxyl radicals that induce oxidative damage, leading to cytoskeletal disruption and activation of caspase-3, ultimately triggering apoptosis. Simultaneously, with the mediation of the key regulatory factor FDX1, we found that the copper ions binding to the mitochondrial protein DLAT could result in the loss of iron-sulfur cluster proteins and aggregation of lipoylated proteins, which culminated in proteotoxic stress-induced cuproptosis. The pronounced anti-tumor effects of Cu-MOF with apoptosis and cuproptosis were confirmed both in vitro and in vivo experiments. Such dual induction of apoptosis and cuproptosis by Cu-MOF presents a promising therapeutic strategy for NSCLC, particularly for KRAS-mutated tumors, and expands potential applications of Cu-based nanomateirals for other cancers.
The efficacy and safety of induction-immunotherapy followed by surgery for unresectable Stage III non-small cell lung cancer (NSCLC) remain challenging. In this open-label, single-center, phase II clinical umbrella trial (ChiCTR2000035367), 100 unresectable Stage III NSCLC patients are enrolled. Patients with PD-L1 expression ≥ 50% but contraindications to anti-angiogenic therapy receive immuno-monotherapy. Patients with PD-L1 expression ≥ 1% and no contraindications to anti-angiogenic therapy receive immunotherapy plus anti-angiogenesis therapy. Patients with PD-L1 expression between 1% and 49%, contraindications to anti-angiogenic therapy, or negative/unknown PD-L1 expression receive chemoimmunotherapy. The primary endpoint is the major pathological response (MPR) rate. Among 47 surgically-treated patients, the MPR rate is 61.7% (95% confidence interval [CI]: 46.4%-75.5%), achieving the prespecified endpoint. For secondary endpoints, the objective response rate for all patients is 54.0% (95% CI: 43.7-64.0). The median event-free survival is 29.9 months (95% CI: 17.0-42.7). Most common adverse event is anemia (49.0%). Exploratory transcriptomic analyses reveal Bone Marrow Stromal Cell Antigen 1 (BST1) as a promising biomarker for response to chemoimmunotherapy. Generally, for unresectable stage III NSCLC patients, anti-PD1 based induction-therapy according to PD-L1 expression and contraindication to antiangiogenic therapy followed by surgery is a feasible option.