Asunto(s)

Anticuerpos Monoclonales Humanizados , Carcinoma de Pulmón de Células no Pequeñas , Neoplasias Pulmonares , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/patología , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/patología , Anticuerpos Monoclonales Humanizados/administración & dosificación , Anticuerpos Monoclonales Humanizados/uso terapéutico , Antineoplásicos Inmunológicos/uso terapéutico , Antineoplásicos Inmunológicos/administración & dosificación

Asunto(s)

Anticuerpos Monoclonales Humanizados , Carcinoma de Pulmón de Células no Pequeñas , Neoplasias Pulmonares , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/patología , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/patología , Anticuerpos Monoclonales Humanizados/administración & dosificación , Anticuerpos Monoclonales Humanizados/efectos adversos , Anticuerpos Monoclonales Humanizados/uso terapéutico , Antineoplásicos Inmunológicos/efectos adversos , Antineoplásicos Inmunológicos/administración & dosificación , Antineoplásicos Inmunológicos/uso terapéutico

RESUMEN

BACKGROUND AND OBJECTIVES: The efficacy and safety of video-assisted thoracoscopic surgery (VATS) versus open thoracotomy in the treatment of non-small cell lung cancer (NSCLC) were evaluated with a focus on mediastinal lymph node dissection, postoperative recovery, and longterm outcomes including survival rates and disease-free intervals. Materials and Methods: This retrospective study analyzed data from 228 NSCLC patients treated at the Institute of Oncology Bucharest from 2016 to 2022. Both VATS and open surgical approaches were compared, with variables including demographic data, comorbidities, surgical outcomes, and postoperative complications meticulously recorded. Statistical significance was assessed using chi-square and independent samples t-tests. Results: Among the findings, VATS demonstrated significantly better two-year progression-free survival rates for patients in early stages (Stages 1-3) of NSCLC compared to open surgery, with p-values 0.01 and 0.001, respectively. In contrast, no significant difference was observed in Stage 4. Furthermore, VATS resulted in shorter operative times (mean 299 vs. 347 minutes, p 0.001), less estimated blood loss (98.68 mL vs. 160.88 mL, p 0.001), reduced chest tube duration (5.78 days vs. 12.17 days, p 0.001), and decreased hospital stays (12.0 days vs. 27.7 days, p 0.001). Conclusions: VATS is associated with improved long-term disease-free survival for early-stage NSCLC and more favorable short-term surgical outcomes, highlighting its advantages over open thoracotomy. Despite its benefits, VATS did not significantly reduce postoperative complications compared to open surgery.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Neoplasias Pulmonares , Escisión del Ganglio Linfático , Estadificación de Neoplasias , Tempo Operativo , Neumonectomía , Cirugía Torácica Asistida por Video , Toracotomía , Humanos , Carcinoma de Pulmón de Células no Pequeñas/cirugía , Carcinoma de Pulmón de Células no Pequeñas/mortalidad , Carcinoma de Pulmón de Células no Pequeñas/patología , Cirugía Torácica Asistida por Video/métodos , Estudios Retrospectivos , Masculino , Neoplasias Pulmonares/cirugía , Neoplasias Pulmonares/mortalidad , Neoplasias Pulmonares/patología , Femenino , Persona de Mediana Edad , Toracotomía/métodos , Anciano , Resultado del Tratamiento , Neumonectomía/métodos , Neumonectomía/mortalidad , Escisión del Ganglio Linfático/métodos , Tasa de Supervivencia , Adulto , Rumanía/epidemiología , Supervivencia sin Enfermedad , Tiempo de Internación/estadística & datos numéricos

RESUMEN

PURPOSE: This study has a purpose to investigate the side effects of three EGFR-TKIs targeted therapeutic agents (gefitinib, erlotinib, and afatinib) and all-cause mortality in patients with metastatic lung cancer. METHODS: We performed a prospective cohort study. We selected all patients with newly diagnosed metastatic lung cancer between January and November 2019. Main exposure was daytime versus nighttime use of targeted EGFR TKIs. The study outcome was a symptom change using the mobile application, and all-cause mortality between January 2019 and March 2023. RESULTS: Among the 87 study participants, 35 (40%) took their medication at night. Among the 87 study participants, 35 (40%) took their medication at night. At 6 weeks of treatment, acne (1.36; 95% confidence interval [CI] 1.09, 1.64; p for interaction = 0.04) and dry skin (1.35; 95% CI 1.09, 1.61, p for interaction = 0.01) in the day group showed a much increase from baseline compared to the night group. In contrast, the night group reported greater reductions in lung cancer-related symptoms from baseline compared to the day. During follow-up (median 43 months), the night group had a lower risk of all-cause death than the day group, especially in younger patients (adjusted hazard ratio = 0.34; 95% CI 0.13, 0.87). CONCLUSIONS: The group taking EGFR-TKIs at night experienced fewer side effects and had longer overall survival compared to the day group. Clinicians should consider recommending that lung cancer patients take their once-daily oral anticancer drugs in the evening rather than the morning to improve treatment outcomes.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Receptores ErbB , Clorhidrato de Erlotinib , Gefitinib , Neoplasias Pulmonares , Inhibidores de Proteínas Quinasas , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/mortalidad , Carcinoma de Pulmón de Células no Pequeñas/patología , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/patología , Neoplasias Pulmonares/mortalidad , Masculino , Femenino , Estudios Prospectivos , Persona de Mediana Edad , Anciano , Inhibidores de Proteínas Quinasas/administración & dosificación , Inhibidores de Proteínas Quinasas/uso terapéutico , Inhibidores de Proteínas Quinasas/efectos adversos , Inhibidores de Proteínas Quinasas/farmacología , Receptores ErbB/antagonistas & inhibidores , Gefitinib/administración & dosificación , Gefitinib/uso terapéutico , Gefitinib/farmacología , Clorhidrato de Erlotinib/administración & dosificación , Clorhidrato de Erlotinib/farmacología , Clorhidrato de Erlotinib/uso terapéutico , Antineoplásicos/administración & dosificación , Antineoplásicos/efectos adversos , Antineoplásicos/uso terapéutico , Afatinib/administración & dosificación , Afatinib/uso terapéutico , Afatinib/farmacología , Estudios de Cohortes , Anciano de 80 o más Años , Adulto

RESUMEN

KRAS mutations play a critical role in the development and progression of several cancers, including non-small cell lung cancer and pancreatic cancer. Despite advancements in targeted therapies, the management of KRAS-mutant tumors remains challenging. This study leverages bibliometric analysis and a comprehensive review of clinical trials to identify emerging immunotherapies and potential treatments for KRAS-related cancers. Using the Web of Science Core Collection and Citespace, we analyzed publications from January 2008 to March 2023 alongside 52 clinical trials from ClinicalTrials.gov and WHO's registry, concentrating on immune checkpoint blockades (ICBs) and novel therapies. Our study highlights an increased focus on the tumor immune microenvironment and precision therapy. Clinical trials reveal the effectiveness of ICBs and the promising potential of T-cell receptor T-cell therapy and vaccines in treating KRAS-mutant cancers. ICBs, particularly in combination therapies, stand out in managing KRAS-mutant tumors. Identifying the tumor microenvironment and gene co-mutation profiles as key research areas, our findings advocate for multidisciplinary approaches to advance personalized cancer treatment. Future research should integrate genetic, immunological, and computational studies to unveil new therapeutic targets and refine treatment strategies for KRAS-mutant cancers.

Asunto(s)

Bibliometría , Inmunoterapia , Mutación , Proteínas Proto-Oncogénicas p21(ras) , Humanos , Inmunoterapia/métodos , Proteínas Proto-Oncogénicas p21(ras)/genética , Microambiente Tumoral/inmunología , Microambiente Tumoral/genética , Ensayos Clínicos como Asunto , Neoplasias/terapia , Neoplasias/genética , Neoplasias/inmunología , Neoplasias/tratamiento farmacológico , Inhibidores de Puntos de Control Inmunológico/uso terapéutico , Carcinoma de Pulmón de Células no Pequeñas/genética , Carcinoma de Pulmón de Células no Pequeñas/terapia , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/inmunología

RESUMEN

OBJECTIVES: Although neoadjuvant immunochemotherapy has been widely applied in non-small cell lung cancer (NSCLC), predicting treatment response remains a challenge. We used pretreatment multimodal CT to explore deep learning-based immunochemotherapy response image biomarkers. METHODS: This study retrospectively obtained non-contrast enhanced and contrast enhancedbubu CT scans of patients with NSCLC who underwent surgery after receiving neoadjuvant immunochemotherapy at multiple centers between August 2019 and February 2023. Deep learning features were extracted from both non-contrast enhanced and contrast enhanced CT scans to construct the predictive models (LUNAI-uCT model and LUNAI-eCT model), respectively. After the feature fusion of these two types of features, a fused model (LUNAI-fCT model) was constructed. The performance of the model was evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. SHapley Additive exPlanations analysis was used to quantify the impact of CT imaging features on model prediction. To gain insights into how our model makes predictions, we employed Gradient-weighted Class Activation Mapping to generate saliency heatmaps. RESULTS: The training and validation datasets included 113 patients from Center A at the 8:2 ratio, and the test dataset included 112 patients (Center B n=73, Center C n=20, Center D n=19). In the test dataset, the LUNAI-uCT, LUNAI-eCT, and LUNAI-fCT models achieved AUCs of 0.762 (95% CI 0.654 to 0.791), 0.797 (95% CI 0.724 to 0.844), and 0.866 (95% CI 0.821 to 0.883), respectively. CONCLUSIONS: By extracting deep learning features from contrast enhanced and non-contrast enhanced CT, we constructed the LUNAI-fCT model as an imaging biomarker, which can non-invasively predict pathological complete response in neoadjuvant immunochemotherapy for NSCLC.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Aprendizaje Profundo , Neoplasias Pulmonares , Terapia Neoadyuvante , Tomografía Computarizada por Rayos X , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/diagnóstico por imagen , Carcinoma de Pulmón de Células no Pequeñas/patología , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/diagnóstico por imagen , Neoplasias Pulmonares/patología , Masculino , Femenino , Terapia Neoadyuvante/métodos , Persona de Mediana Edad , Estudios Retrospectivos , Anciano , Tomografía Computarizada por Rayos X/métodos , Inmunoterapia/métodos , Imagen Multimodal/métodos

RESUMEN

Introduction: AXL receptor expression is proposed to confer immune-checkpoint inhibitor (ICI)-resistance in non-small cell lung cancer (NSCLC) patients. We sought to interrogate AXL expression in conjunction with mutational and tumor-microenvironmental features to uncover predictive mechanisms of resistance in ICI-treated NSCLC patients. Methods: Tumor samples from 111 NSCLC patients treated with ICI-monotherapy were analyzed by immunohistochemistry for tumor- and immune-AXL expression. Subsets of patients were analyzed by whole-exome sequencing (n = 44) and imaging mass cytometry (n = 14). Results were related to ICI-outcome measurements. Results: Tumor-cell AXL expression correlated with aggressive phenotypic features including reduced OS in patients treated with ICIs (P = 0.04) after chemotherapy progression, but conversely associated with improved disease control (P = 0.045) in ICI-treated, PD-L1 high first-line patients. AXL+ immune-cell infiltration correlated with total immune-cell infiltration and improved overall outcomes (PFS: P = 0.044, OS: P = 0.054). Tumor-cell AXL-upregulation showed enrichment in mutations associated with PD-L1-upregulation and ICI-response such as MUC4 and ZNF469, as well as adverse mutations including CSMD1 and LRP1B which associated with an immune-suppressed tumor phenotype and poor ICI prognosis particularly within chemotherapy-treated patients. Tumor mutational burden had no effect on ICI-outcomes and was associated with a lack of tumor-infiltrating immune cells. Spatial-immunophenotyping provided evidence that tumor-cell AXL-upregulation and adverse mutations modulate the tumor microenvironment in favor of infiltrating, activated neutrophils over anti-tumor immune-subsets including CD4 and CD8 T-cells. Conclusion: Tumor-cell AXL-upregulation correlated with distinct oncotypes and microenvironmental immune-profiles that define chemotherapy-induced mechanisms of ICI-resistance, which suggests the combination of AXL inhibitors with current chemoimmunotherapy regimens can benefit NSCLC patients.

Asunto(s)

Tirosina Quinasa del Receptor Axl , Carcinoma de Pulmón de Células no Pequeñas , Inhibidores de Puntos de Control Inmunológico , Neoplasias Pulmonares , Proteínas Proto-Oncogénicas , Proteínas Tirosina Quinasas Receptoras , Microambiente Tumoral , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/inmunología , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/inmunología , Neoplasias Pulmonares/genética , Proteínas Tirosina Quinasas Receptoras/genética , Proteínas Proto-Oncogénicas/genética , Inhibidores de Puntos de Control Inmunológico/uso terapéutico , Masculino , Femenino , Microambiente Tumoral/inmunología , Anciano , Persona de Mediana Edad , Biomarcadores de Tumor , Mutación , Linfocitos Infiltrantes de Tumor/inmunología , Linfocitos Infiltrantes de Tumor/metabolismo , Resultado del Tratamiento , Anciano de 80 o más Años , Resistencia a Antineoplásicos/genética , Adulto

RESUMEN

In recent years, there has been significant research interest in the field of immunotherapy for non-small cell lung cancer (NSCLC) within the academic community. Given the observed variations in individual responses, despite similarities in histopathologic type, immunohistochemical index, TNM stage, or mutation status, the identification of a reliable biomarker for early prediction of therapeutic responses is of utmost importance. Conventional medical imaging techniques primarily focus on macroscopic tumor monitoring, which may no longer adequately fulfill the requirements of clinical diagnosis and treatment. CT (computerized tomography) or PEF/CT-based radiomics has the potential to investigate the molecular-level biological attributes of tumors, such as PD-1/PD-L1 expression and tumor mutation burden, which offers a novel approach to assess the effectiveness of immunotherapy and forecast patient prognosis. The utilization of cutting-edge radiological imaging techniques, including radiomics, PET/CT, machine learning, and artificial intelligence, demonstrates significant potential in predicting diagnosis, treatment response, immunosuppressive characteristics, and immune-related adverse events. The current review highlights that CT scan-based radiomics is a reliable and feasible way to predict the benefits of immunotherapy in patients with advanced NSCLC.

Asunto(s)

Biomarcadores de Tumor , Carcinoma de Pulmón de Células no Pequeñas , Inmunoterapia , Neoplasias Pulmonares , Tomografía Computarizada por Rayos X , Humanos , Carcinoma de Pulmón de Células no Pequeñas/terapia , Carcinoma de Pulmón de Células no Pequeñas/inmunología , Carcinoma de Pulmón de Células no Pequeñas/diagnóstico por imagen , Carcinoma de Pulmón de Células no Pequeñas/diagnóstico , Neoplasias Pulmonares/terapia , Neoplasias Pulmonares/inmunología , Neoplasias Pulmonares/diagnóstico por imagen , Neoplasias Pulmonares/diagnóstico , Tomografía Computarizada por Rayos X/métodos , Inmunoterapia/métodos , Resultado del Tratamiento , Pronóstico , Inhibidores de Puntos de Control Inmunológico/uso terapéutico , Proteínas de Punto de Control Inmunitario/metabolismo , Proteínas de Punto de Control Inmunitario/genética , Radiómica

RESUMEN

This study aimed to explore potential radiomics biomarkers in predicting the efficiency of chemo-immunotherapy in patients with advanced non-small cell lung cancer (NSCLC). Eligible patients were prospectively assigned to receive chemo-immunotherapy, and were divided into a primary cohort (n = 138) and an internal validation cohort (n = 58). Additionally, a separative dataset was used as an external validation cohort (n = 60). Radiomics signatures were extracted and selected from the primary tumor sites from chest CT images. A multivariate logistic regression analysis was conducted to identify the independent clinical predictors. Subsequently, a radiomics nomogram model for predicting the efficiency of chemo-immunotherapy was conducted by integrating the selected radiomics signatures and the independent clinical predictors. The receiver operating characteristic (ROC) curves demonstrated that the radiomics model, the clinical model, and the radiomics nomogram model achieved areas under the curve (AUCs) of 0.85 (95% confidence interval [CI] 0.78-0.92), 0.76 (95% CI 0.68-0.84), and 0.89 (95% CI 0.84-0.94), respectively, in the primary cohort. In the internal validation cohort, the corresponding AUCs were 0.93 (95% CI 0.86-1.00), 0.79 (95% CI 0.68-0.91), and 0.96 (95% CI 0.90-1.00) respectively. Moreover, in the external validation cohort, the AUCs were 0.84 (95% CI 0.72-0.96), 0.75 (95% CI 0.62-0.87), and 0.86 (95% CI 0.75-0.96), respectively. In conclusion, the radiomics nomogram provides a convenient model for predicting the effect of chemo-immunotherapy in advanced NSCLC patients.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Inmunoterapia , Neoplasias Pulmonares , Nomogramas , Tomografía Computarizada por Rayos X , Humanos , Carcinoma de Pulmón de Células no Pequeñas/diagnóstico por imagen , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/terapia , Carcinoma de Pulmón de Células no Pequeñas/patología , Femenino , Neoplasias Pulmonares/diagnóstico por imagen , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/terapia , Neoplasias Pulmonares/patología , Masculino , Persona de Mediana Edad , Anciano , Tomografía Computarizada por Rayos X/métodos , Inmunoterapia/métodos , Curva ROC , Resultado del Tratamiento , Estudios Prospectivos , Radiómica

RESUMEN

PURPOSE: Non-small cell lung cancer (NSCLC) is a highly fatal malignancy. The Kirsten rat sarcoma viral oncogene (KRAS) gene profoundly impacts patient prognosis. This study aims to explore the correlation between KRAS mutation subtypes, clinical data, and the impact of these subtypes on immunotherapy. MATERIALS AND METHODS: Tumor samples from 269 NSCLC patients at the Affiliated Cancer Hospital of Xinjiang Medical University were analyzed. Patients received first- or second-line therapy without targeted therapy. Molecular and clinical data were used to analysis KRAS mutation subtypes and treatment outcomes. RESULTS: KRAS mutations predominantly included G12C, G12D, and G12V subtypes. TP53 had the highest mutation frequency among KRAS mutations, followed by MST1, STK11, and KMT2C. Gender differences were noted among KRAS mutation subtypes, with G12C and G12V mutations prevalent in males, while G12D mutations were less common among males. Smokers exhibited varied KRAS mutation subtypes, with G12C and G12V prevalent in smokers and G12D in nonsmokers. KRAS mutations were mainly in lung adenocarcinoma. TTF-1 and PD-L1 expression differed significantly among KRAS mutations. Patients with G12C and G12V mutations showed higher TMB levels and better immunotherapy outcomes compared to those without KRAS mutations. Conversely, patients with G12D mutations had poorer immunotherapy responses. CONCLUSIONS: KRAS mutation subtypes exhibit distinct clinical and molecular characteristics and varying responses to immunotherapy. G12C and G12V mutations correlate with better immunotherapy outcomes, while G12D mutations are associated with poorer responses.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Inmunoterapia , Neoplasias Pulmonares , Mutación , Proteínas Proto-Oncogénicas p21(ras) , Humanos , Carcinoma de Pulmón de Células no Pequeñas/genética , Carcinoma de Pulmón de Células no Pequeñas/terapia , Carcinoma de Pulmón de Células no Pequeñas/patología , Carcinoma de Pulmón de Células no Pequeñas/inmunología , Masculino , Proteínas Proto-Oncogénicas p21(ras)/genética , Femenino , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/patología , Neoplasias Pulmonares/terapia , Neoplasias Pulmonares/inmunología , Persona de Mediana Edad , Pronóstico , China/epidemiología , Anciano , Inmunoterapia/métodos , Adulto , Anciano de 80 o más Años , Biomarcadores de Tumor/genética

RESUMEN

BACKGROUND: Despite the favorable therapeutic efficacy observed with ICI monotherapy, the majority of non-small cell lung cancer (NSCLC) patients do not respond. Therefore, identifying patients who could optimally benefit from ICI treatment remains a challenge. METHODS: Among 183 patients with advanced or recurrent NSCLC who received ICI monotherapy, we analyzed 110 patients whose pre- and post-treatment plasma samples were available. Seventy-three soluble immune mediators were measured at ICI initiation and 6 weeks later. To identify useful biomarkers, we analyzed the association of pre-treatment levels and on-treatment changes of soluble immune mediators with survival of patients. The associations of pre-treatment or on-treatment biomarkers with irAE development, PD-L1 expression, CD8+ TIL density, and neutrophil to lymphocyte ratio (NLR) were also analyzed. RESULTS: Univariate analysis showed that pre-treatment biomarkers included 6 immune mediators, whereas on-treatment biomarkers included 8 immune mediators. Multivariate analysis showed that pre-treatment biomarkers included 4 immune mediators (CCL19, CCL21, CXCL5, CXCL10), whereas on-treatment biomarkers included 5 immune mediators (CCL7, CCL19, CCL23, CCL25, IL-32). IrAE development was associated with on-treatment change in CCL23. PD-L1 expression was associated with the pre-treatment levels of TNFSF13B and the on-treatment change in CCL25. CD8+ TIL density was associated with the pre-treatment CXCL10 level, whereas NLR was correlated with pre-treatment levels of CCL13 and CCL17. CONCLUSION: We identified several soluble immune mediators as pre-treatment and on-treatment biomarkers of survival in patients with NSCLC treated with ICI monotherapy. Some of these biomarkers were associated with other possible predictors, including irAE development, PD-L1 expression, CD8+ TIL density and NLR. Further large-scale studies are needed to establish biomarkers for patients with NSCLC who received ICI monotherapy.

Asunto(s)

Antígeno B7-H1 , Biomarcadores de Tumor , Carcinoma de Pulmón de Células no Pequeñas , Neoplasias Pulmonares , Microambiente Tumoral , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/inmunología , Carcinoma de Pulmón de Células no Pequeñas/metabolismo , Microambiente Tumoral/inmunología , Masculino , Femenino , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/inmunología , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/patología , Persona de Mediana Edad , Anciano , Biomarcadores de Tumor/metabolismo , Antígeno B7-H1/metabolismo , Antígeno B7-H1/antagonistas & inhibidores , Inhibidores de Puntos de Control Inmunológico/uso terapéutico , Adulto , Receptor de Muerte Celular Programada 1/antagonistas & inhibidores , Receptor de Muerte Celular Programada 1/metabolismo , Anciano de 80 o más Años , Pronóstico , Linfocitos T CD8-positivos/inmunología , Linfocitos T CD8-positivos/metabolismo

RESUMEN

Patients with lung cancer have a high incidence of tumor recurrence even after curative surgical resection. Some reports indicated that immunosuppressive cells induced by surgical stress could contribute to tumor recurrence after surgery; however, the underlying mechanisms are not fully understood. In this study, we found that increased postoperative blood monocytes served as a risk factor for tumor recurrence in 192 patients with non-small cell lung cancer (NSCLC). We established the lung cancer recurrent mouse model after tumor resection and showed that the surgical stress immediately increased the level of serum monocyte chemoattractant protein-1 (MCP-1), which subsequently increased blood monocytes. These blood monocytes were rapidly recruited into distant micrometastases and became tumor growth-promoting tumor associated macrophages (TAMs). Furthermore, even after the blood MCP-1 and monocytes decreased enough 72 h after tumor resection, TAMs in micrometastases remained rich because the MCP-1 secreted by micrometastases themselves continued to recruit monocytes around the tumor. Consequently, tumor resection triggered the outgrowth of distant metastases via the MCP-1-Monocyte-TAM axis. When we administered the MCP-1 inhibitor to the lung cancer recurrent model mice, blood monocytes decreased after tumor resection, and TAMs in micrometastases also dramatically decreased. Finally, peri- and postoperative treatment with the MCP-1 inhibitor suppressed distant metastases after surgery. Targeting the MCP-1-Monocyte-TAM axis may inhibit surgical stress-induced NSCLC recurrence by attenuating postoperative immunosuppressive monocytes in micrometastases.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Quimiocina CCL2 , Neoplasias Pulmonares , Monocitos , Recurrencia Local de Neoplasia , Animales , Neoplasias Pulmonares/secundario , Neoplasias Pulmonares/inmunología , Neoplasias Pulmonares/patología , Neoplasias Pulmonares/cirugía , Monocitos/inmunología , Monocitos/metabolismo , Ratones , Humanos , Recurrencia Local de Neoplasia/patología , Recurrencia Local de Neoplasia/inmunología , Carcinoma de Pulmón de Células no Pequeñas/patología , Carcinoma de Pulmón de Células no Pequeñas/inmunología , Carcinoma de Pulmón de Células no Pequeñas/cirugía , Masculino , Femenino , Quimiocina CCL2/metabolismo , Ratones Endogámicos C57BL , Metástasis de la Neoplasia , Persona de Mediana Edad , Macrófagos Asociados a Tumores/inmunología , Macrófagos Asociados a Tumores/metabolismo , Anciano

RESUMEN

Interstitial lung abnormalities (ILAs) are immune checkpoint inhibitor (ICI)-related pneumonitis (ICI-P) risk factors. However, the relationship between imaging patterns and immunotherapy outcomes, and treatment strategies remain unclear in patients with non-small cell lung cancer (NSCLC) and ILAs. We retrospectively evaluated patients with ILAs-complicated NSCLC who received ICI therapy. ILAs were subcategorized as non-subpleural, subpleural non-fibrotic, and subpleural fibrotic (SF) based on the 2020 position paper by the Fleischner Society. We investigated ICI-P incidence, ICI-P risk factors, lung cancer prognosis, and ILAs radiological progression. Of the 481 ICI-treated patients, 79 (16.4%) had ILAs (45 non-SF and 34 SF). The ICI-P cumulative incidence (hazard ratio, 4.57; 95% confidence interval [CI], 1.90-10.98; p = 0.001) and any grade and grade ≥ 3 ICI-P incidences were higher in patients with SF-ILAs than in those with non-SF-ILAs (all grades: 7/45 [15.6%)] vs. 18/34 [52.9%]; p < 0.001; grade ≥ 3: 1/45 [2.2%] vs. 10/34 [29.4%]; p = 0.001). According to multivariate analysis, SF-ILAs independently predicted ICI-P (odds ratio, 5.35; 95% CI 1.62-17.61; p = 0.006). Patients with SF-ILAs had shorter progression-free and overall survival and higher ICI-P-related respiratory failure death rates than those with non-SF-ILAs. Approximately 2.5 times more patients with SF-ILAs showed progression by the 2-year follow-up than those with non-SF-ILAs. SF-ILAs is an independent strong predictor of ICI-P development in patients with NSCLC, may increase ICI-P severity, worsen prognosis, and accelerate ILAs progression. ILAs subcategorization is an important treatment strategy for patients with lung cancer treated with ICIs.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Inhibidores de Puntos de Control Inmunológico , Enfermedades Pulmonares Intersticiales , Neoplasias Pulmonares , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/patología , Carcinoma de Pulmón de Células no Pequeñas/mortalidad , Carcinoma de Pulmón de Células no Pequeñas/complicaciones , Masculino , Femenino , Inhibidores de Puntos de Control Inmunológico/uso terapéutico , Inhibidores de Puntos de Control Inmunológico/efectos adversos , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/mortalidad , Neoplasias Pulmonares/patología , Neoplasias Pulmonares/complicaciones , Enfermedades Pulmonares Intersticiales/tratamiento farmacológico , Enfermedades Pulmonares Intersticiales/etiología , Anciano , Estudios Retrospectivos , Persona de Mediana Edad , Pronóstico , Anciano de 80 o más Años , Resultado del Tratamiento , Adulto

RESUMEN

BACKGROUND: Treatment of brain metastases (BMs) in non-small cell lung cancer (NSCLC) patients, especially those with non-sensitive genetic mutations, is hindered by limited drug delivery through the blood-brain barrier (BBB). This retrospective study explores the efficacy of systemic treatments during brain metastasis to radiotherapy evaluation window in improving patient survival. METHODS: In this retrospective cohort study, we evaluated 209 NSCLC patients with non-sensitive mutations and BMs, treated between 2016 and 2023 at two tertiary medical centers (Chongqing University Cancer Hospital and Guangxi Medical University Cancer Hospital). The patients were divided into three groups, namely chemotherapy alone (C; n = 95), chemotherapy plus immune checkpoint inhibitors (ICIs) (C + I; n = 62), and chemotherapy with ICIs and antiangiogenic therapy (A) (C + I + A; n = 52). Statistical analyses were performed using R software, version 4.3.3. Categorical variables were compared using Fisher's exact test, and survival curves were estimated with the Kaplan-Meier method and compared via the log-rank test. Univariate and multivariate Cox regression models were used to assess factors associated with overall survival (OS). Bayesian model averaging (BMA) was employed to address model uncertainty and improve result robustness. Subgroup analyses evaluated treatment-related mortality risk. RESULTS: From an initial cohort of 658 NSCLC patients with BMs, 209 were analyzed with a median age of 59; the majority were male (80.9%) and diagnosed with adenocarcinoma (78.9%). Univariate analysis identified significant variables influencing outcomes, including BMs radiotherapy EQD2, BMs count, local thoracic treatment, BMs radiotherapy field, intracranial response, and systemic treatment post-BMs diagnosis. The C + I + A regimen significantly improved median OS to 23.6 months compared to 11.4 months with C and 16.2 months with C + I, with a hazard ratio (HR) of 0.60 (95% CI: 0.43-0.82; P < 0.0001). The two-year OS rate was highest in the C + I + A group at 38.5%, versus 10.5% in C and 20.4% in C + I (P < 0.001). Cox regression and BMA analyses confirmed the stability of BMA in providing HR estimates, yielding area under the curve (AUC) values of 0.785 for BMA and 0.793 for the Cox model, with no significant difference in predictive performance. Subgroup analysis revealed a 71% mortality risk reduction with C + I + A (HR: 0.29; 95% CI: 0.18-0.47; P < 0.0001), showing consistent benefits regardless of patient sex, BMs count, extracranial metastases presence, and local thoracic treatments. Treatment sequence analysis indicated a median OS of 33.4 months for patients starting with A, though not statistically significant (HR: 0.59; P = 0.36). The overall incidence of radiation-induced brain injury was low at 3.3%, with rates in the C, C + I, and C + I + A groups being 3.2%, 4.8%, and 1.9%, respectively (P = 0.683). CONCLUSION: Our study demonstrates the significant benefit of the C + I + A combination therapy in improving OS and reducing mortality risk in NSCLC patients with non-sensitive gene-mutated BMs. The sequential administration of A followed by ICIs shows a promising synergistic effect with cranial radiotherapy, highlighting the potential for optimized treatment sequencing. These findings emphasize the efficacy of tailored combination therapies in complex oncological care and suggest that our approach could lead to meaningful improvements in clinical outcomes for this challenging patient population.

Asunto(s)

Inhibidores de la Angiogénesis , Protocolos de Quimioterapia Combinada Antineoplásica , Neoplasias Encefálicas , Carcinoma de Pulmón de Células no Pequeñas , Inhibidores de Puntos de Control Inmunológico , Neoplasias Pulmonares , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/mortalidad , Carcinoma de Pulmón de Células no Pequeñas/patología , Estudios Retrospectivos , Neoplasias Encefálicas/secundario , Neoplasias Encefálicas/mortalidad , Neoplasias Encefálicas/tratamiento farmacológico , Masculino , Femenino , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/mortalidad , Neoplasias Pulmonares/patología , Persona de Mediana Edad , Inhibidores de la Angiogénesis/uso terapéutico , Anciano , Inhibidores de Puntos de Control Inmunológico/uso terapéutico , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapéutico , Adulto

RESUMEN

Secondary BRAF variations have been identified as a mechanism of resistance to tyrosine kinase inhibitors (TKIs) in patients with driver gene-positive NSCLC. Nevertheless, there is still a lack of consensus regarding the characteristics and subsequent treatment strategies for these patients. We retrospectively reviewed the medical records of patients with driver gene-positive NSCLC who received TKIs therapy at Zhejiang Cancer Hospital between May 2016 and December 2023. The clinical and genetic characteristics of these patients were assessed, along with the impact of various treatment strategies on survival. This study enrolled 27 patients with advanced NSCLC, in whom BRAF variations occurred at a median time of 28 months after the initiation of targeted therapy. The multivariate accelerated failure time (AFT) model revealed that, compared to chemotherapy-based regimens group, the combined targeted therapy group (p < 0.001) and the combined local treatment group for oligo-progression (p < 0.001) significantly extended patient survival. In contrast, continuing the original signaling pathway's targeted monotherapy was associated with shorter survival (p = 0.034). The median global OS for each treatment group was as follows: chemotherapy-based regimens group, 45 months; combined targeted therapy group, 59 months; combined local treatment group for patients with oligo-progression, 46 months; and targeted monotherapy group, 36 months. Study results indicate that the combination targeted therapy group (including TKIs, BRAF inhibitors, and/or MEK inhibitors) and the localized treatment group are more effective than traditional chemotherapy-based regimens in improving survival. Additionally, continuing targeted monotherapy along the original signaling pathway proves less effective than chemotherapy-based regimens.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Resistencia a Antineoplásicos , Neoplasias Pulmonares , Inhibidores de Proteínas Quinasas , Proteínas Proto-Oncogénicas B-raf , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/genética , Carcinoma de Pulmón de Células no Pequeñas/mortalidad , Carcinoma de Pulmón de Células no Pequeñas/patología , Proteínas Proto-Oncogénicas B-raf/genética , Proteínas Proto-Oncogénicas B-raf/antagonistas & inhibidores , Femenino , Masculino , Persona de Mediana Edad , Resistencia a Antineoplásicos/genética , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/mortalidad , Neoplasias Pulmonares/patología , Anciano , Inhibidores de Proteínas Quinasas/uso terapéutico , Estudios Retrospectivos , Terapia Molecular Dirigida/métodos , Adulto , Mutación

RESUMEN

Tepotinib is approved for the treatment of patients with non-small-cell lung cancer harboring MET exon 14 skipping alterations. While edema is the most prevalent adverse event (AE) and a known class effect of MET inhibitors including tepotinib, there is still limited understanding about the factors contributing to its occurrence. Herein, we apply machine learning (ML)-based approaches to predict the likelihood of occurrence of edema in patients undergoing tepotinib treatment, and to identify factors influencing its development over time. Data from 612 patients receiving tepotinib in five Phase I/II studies were modeled with two ML algorithms, Random Forest, and Gradient Boosting Trees, to predict edema AE incidence and severity. Probability calibration was applied to give a realistic estimation of the likelihood of edema AE. Best model was tested on follow-up data and on data from clinical studies unused while training. Results showed high performances across all the tested settings, with F1 scores up to 0.961 when retraining the model with the most relevant covariates. The use of ML explainability methods identified serum albumin as the most informative longitudinal covariate, and higher age as associated with higher probabilities of more severe edema. The developed methodological framework enables the use of ML algorithms for analyzing clinical safety data and exploiting longitudinal information through various covariate engineering approaches. Probability calibration ensures the accurate estimation of the likelihood of the AE occurrence, while explainability tools can identify factors contributing to model predictions, hence supporting population and individual patient-level interpretation.

Asunto(s)

Carcinoma de Pulmón de Células no Pequeñas , Edema , Aprendizaje Automático , Humanos , Edema/inducido químicamente , Femenino , Masculino , Persona de Mediana Edad , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Anciano , Neoplasias Pulmonares/tratamiento farmacológico , Ensayos Clínicos Fase II como Asunto , Pirimidinas/efectos adversos , Pirimidinas/administración & dosificación , Ensayos Clínicos Fase I como Asunto , Adulto , Antineoplásicos/efectos adversos , Inhibidores de Proteínas Quinasas/efectos adversos , Piperidinas , Piridazinas

RESUMEN

BACKGROUND: Immunotherapy represents a groundbreaking and monumental achievement in the field of cancer therapy, marking a significant advancement in fighting against this devastating disease. Lung cancer has showed consistent clinical improvements in response to immunotherapy treatments, yet, it is undeniable that challenges such as limited response rates acquire resistance, and the unclear fundamental mechanisms were inevitable problems. METHODS: The cellular composition was defined and distinguished through single-cell RNA sequencing (scRNA-seq) analysis of MPR (major pathologic response) and NMPR (non-major pathologic response) samples in GSE207422, including four primary MPR samples and eight primary NMPR samples. RESULTS: We found obvious difference in CD8+ T cell population between MPR and NMPR samples, with high expression of TYMS, RRM2, and BIRC5 in NPMR samples. Meanwhile, the proportion of macrophages and tumor epithelial cells infiltration increased in the NMPR samples. We discovered biomarkers (ACTN4, ATF3, BRD2, CDKN1A, and CHMP4B) in epithelial cells which were potentially represented worse outcomes. CONCLUSIONS: By exploring the difference of tumor microenvironment (TME) in samples with different corresponding degrees of neoadjuvant immunotherapy, this research introduces a number of novel biomarkers for predicting the response of treatment and a theoretical basis for overcoming immunotherapy resistance.

Asunto(s)

Biomarcadores de Tumor , Carcinoma de Pulmón de Células no Pequeñas , Inmunoterapia , Neoplasias Pulmonares , Análisis de la Célula Individual , Microambiente Tumoral , Humanos , Carcinoma de Pulmón de Células no Pequeñas/terapia , Carcinoma de Pulmón de Células no Pequeñas/genética , Carcinoma de Pulmón de Células no Pequeñas/inmunología , Carcinoma de Pulmón de Células no Pequeñas/patología , Microambiente Tumoral/inmunología , Microambiente Tumoral/genética , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/terapia , Neoplasias Pulmonares/inmunología , Neoplasias Pulmonares/patología , Inmunoterapia/métodos , Análisis de la Célula Individual/métodos , Biomarcadores de Tumor/genética , Análisis de Secuencia de ARN/métodos , Regulación Neoplásica de la Expresión Génica , Linfocitos T CD8-positivos/inmunología , Linfocitos T CD8-positivos/metabolismo , Linfocitos Infiltrantes de Tumor/inmunología , Linfocitos Infiltrantes de Tumor/metabolismo , Perfilación de la Expresión Génica

Asunto(s)

Acrilamidas , Compuestos de Anilina , Neoplasias Pulmonares , Supervivencia sin Progresión , Humanos , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/mortalidad , Acrilamidas/uso terapéutico , Compuestos de Anilina/uso terapéutico , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/mortalidad , Antineoplásicos/uso terapéutico , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapéutico , Indoles , Pirimidinas

Asunto(s)

Anticuerpos Monoclonales , Carcinoma de Pulmón de Células no Pequeñas , Quimioradioterapia , Análisis Costo-Beneficio , Neoplasias Pulmonares , Humanos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Carcinoma de Pulmón de Células no Pequeñas/economía , Carcinoma de Pulmón de Células no Pequeñas/radioterapia , Carcinoma de Pulmón de Células no Pequeñas/terapia , Anticuerpos Monoclonales/economía , Anticuerpos Monoclonales/uso terapéutico , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/economía , Neoplasias Pulmonares/radioterapia , Neoplasias Pulmonares/terapia , Neoplasias Pulmonares/patología , Quimioradioterapia/economía , Quimioradioterapia/métodos , Estadificación de Neoplasias , Antineoplásicos Inmunológicos/economía , Antineoplásicos Inmunológicos/uso terapéutico , Nivel de Atención/economía

RESUMEN

PURPOSE: Immune checkpoint inhibitor-related pneumonitis (ICI-P) is a condition associated with high mortality, necessitating prompt recognition and treatment initiation. This study aimed to assess the impact of implementing a clinical care pathway algorithm on reducing the time to treatment for ICI-P. METHODS: Patients with lung cancer and suspected ICI-P were enrolled, and a multimodal intervention promoting algorithm use was implemented in two phases. Pre- and post-intervention analyses were conducted to evaluate the primary outcome of time from ICI-P diagnosis to treatment initiation. RESULTS: Of the 82 patients admitted with suspected ICI-P, 73.17% were confirmed to have ICI-P, predominantly associated with non-small cell lung cancer (91.67%) and stage IV disease (95%). Pembrolizumab was the most commonly used immune checkpoint inhibitor (55%). The mean times to treatment were 2.37 days in the pre-intervention phase, 3.07 days (p = 0.46), and 1.27 days (p = 0.40) in the post-intervention phases 1 and 2, respectively. Utilization of the immunotoxicity order set significantly increased from 0 to 27.27% (p = 0.04) after phase 2. While there were no significant changes in ICU admissions or inpatient mortality, outpatient pulmonology follow-ups increased statistically significantly, demonstrating enhanced continuity of care. The overall mortality for patients with ICI-P was 22%, underscoring the urgency of optimizing management strategies. Notably, all patients discharged on high-dose corticosteroids received appropriate gastrointestinal prophylaxis and prophylaxis against Pneumocystis jirovecii pneumonia infections at the end of phase 2. CONCLUSION: Implementing a clinical care pathway algorithm for managing severe ICI-P in hospitalized lung cancer patients standardizes practices, reducing variability in management.

Asunto(s)

Algoritmos , Vías Clínicas , Inhibidores de Puntos de Control Inmunológico , Neoplasias Pulmonares , Neumonía , Humanos , Inhibidores de Puntos de Control Inmunológico/efectos adversos , Inhibidores de Puntos de Control Inmunológico/administración & dosificación , Masculino , Neoplasias Pulmonares/tratamiento farmacológico , Femenino , Anciano , Persona de Mediana Edad , Neumonía/etiología , Anciano de 80 o más Años , Hospitalización/estadística & datos numéricos , Carcinoma de Pulmón de Células no Pequeñas/tratamiento farmacológico , Anticuerpos Monoclonales Humanizados/administración & dosificación , Anticuerpos Monoclonales Humanizados/uso terapéutico , Anticuerpos Monoclonales Humanizados/efectos adversos , Anticuerpos Monoclonales Humanizados/farmacología