Prognostic factors for survival in patients with metastatic lung adenocarcinoma: An analysis of the SEER database

Campos-Balea, Begoña; Carpeño, Javier de Castro; Massutí, Bartomeu; Vicente-Baz, D.; Parente, Diego Pérez; Ruiz-Gracia, Pedro; Crama, Leonardo; Dols, M. Cobo

doi:10.1111/1759-7714.13681

Cited by 24 publications

(21 citation statements)

References 45 publications

(93 reference statements)

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“…In line with this, OS values according to ECOG PS also showed overall benefits for immunotherapy over chemotherapy. The impact of performance status on the efficacy of immunotherapy is already well known [ 70 ]. A recent NMA of real-world data suggests that performance status at treatment initiation retains prognostic significance in patients with immunotherapy, with worse outcomes determined for patients with poorer clinical conditions [ 71 ].…”

Section: Discussionmentioning

confidence: 99%

PD-(L)1 Inhibitors as Monotherapy for the First-Line Treatment of Non-Small-Cell Lung Cancer Patients with High PD-L1 Expression: A Network Meta-Analysis

Majem

Cobo-Dols

Isla

et al. 2021

JCM

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Programmed cell death-ligand 1 (PD-L1) has emerged as a potential biomarker for selection of patients more likely to respond to immunotherapy and as a prognostic factor in non-small cell lung cancer (NSCLC). In this network meta-analysis, we aimed to evaluate the efficacy of first-line anti-PD-(L)1 monotherapy in advanced NSCLC patients with high PD-L1 expression (≥50%) compared to platinum-based chemotherapy. We also evaluated efficacy outcomes according to tumor mutational burden (TMB). To that end, we conducted a systematic review. Six clinical trials with 2111 patients were included. In head-to-head comparisons, immunotherapy showed a significant improvement in progression-free survival (PFS: HRpooled = 0.69, 95% CI: 0.52–0.90, p = 0.007), overall survival (OS: HRpooled = 0.69, 95% CI: 0.61–0.78; p < 0.001) and overall response rate (ORR) (Risk ratio (RR)pooled = 1.354, 95% CI: 1.04–1.762, p = 0.024). In the assessment of relative efficacy for PFS through indirect comparisons, pembrolizumab (results from KEYNOTE-024) ranked highest followed by cemiplimab and atezolizumab, with statistical significance determined for some of the drugs. In terms of OS, cemiplimab ranked highest followed by atezolizumab and pembrolizumab, although non-significant OS was determined for these drugs. In conclusion, PD-(L)1 inhibitor monotherapy improves efficacy outcomes in the first line setting of advanced NSCLC patients with high PD-L1 expression. Evaluations with longer follow up are still needed to determine the superiority of any specific drug.

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Section: Discussionmentioning

confidence: 99%

PD-(L)1 Inhibitors as Monotherapy for the First-Line Treatment of Non-Small-Cell Lung Cancer Patients with High PD-L1 Expression: A Network Meta-Analysis

Majem

Cobo-Dols

Isla

et al. 2021

JCM

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“…Studies of metastatic LUAD have usually focused on predicting patient survival. 25 , 26 For malignant and advanced tumors, only a few studies have investigated early death. 9 – 11 Based on different diseases and risk factors, many studies have defined early death.…”

Section: Discussionmentioning

confidence: 99%

A predictive web-based nomogram for the early death of patients with lung adenocarcinoma and bone metastasis: a population-based study

Wei

Cao

et al. 2021

J Int Med Res

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Objective To identify risk factors and develop predictive web-based nomograms for the early death of patients with bone metastasis of lung adenocarcinoma (LUAD). Methods Patients in the Surveillance, Epidemiology, and End Results database diagnosed with bone metastasis of LUAD between 2010 and 2016 were included and randomly divided into training and validation sets. Early death-related risk factors (survival time ≤7 months) were evaluated by logistic regression. Two predictive nomograms were established and validated by calibration curves, receiver operating characteristic curves, and decision curve analysis. Results A total of 9189 patients (56.59%) died from all causes within 7 months of being diagnosed, including 8585 patients (56.67%) who died from cancer-specific causes. Age >65 years, sex (men), T stage (T3 and T4), N stage (N2 and N3), brain metastasis, and liver metastasis were risk factors for all-cause and cancer-specific early death. The area under the curves of the nomograms for all-cause and cancer-specific early death prediction were 0.754 and 0.753 (training set) and 0.747 and 0.754 (validation set), respectively. Further analysis showed that the two nomograms performed well. Conclusions Our two web-based nomograms for all-cause and cancer-specific early death provide valuable tools for predicting early death in these patients.

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“…[7][8][9] Indeed, family support can affect physicians' treatment decisions 10 and patient survival. 11 The roles of radiologists are emphasized in patientcentered care and are essential for radiology's long-term sustainability. 12 Effective communication about patient diseases is one of the key factors for patient-centered radiology and family involvement in patient care.…”

Section: Introductionmentioning

confidence: 99%

“…Cancer patients require multifaceted support, and the appropriate family understanding of patient disease is a basis of family support and relationships with patients 7–9 . Indeed, family support can affect physicians' treatment decisions 10 and patient survival 11 …”

Section: Introductionmentioning

confidence: 99%

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Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial

Yoon

Kang

et al. 2022

Thoracic Cancer

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Shared decision-making is imperative for patient-and family-centered care. However, gathering individuals in a single place was challenged by modern life and pandemic restrictions. This study conducted a 1:1 randomized trial to examine the feasibility of a CT-derived 3D virtual explanation module for lung cancer to improve the understanding of patients and third parties in physically separate locations. We prospectively enrolled adults in whom elective surgical resection for lung cancer was planned at a single tertiary hospital in 2020. From presurgical CT scans, deep neural networks automatically segmented lung cancer, airway, pulmonary lobes, skin, and bony thorax. The segmented structures were subsequently transformed into an anonymized interactive 3D module which comprised a standardized scenario with explanatory texts. The intervention group received a link to the module on their smartphone before admission and could repeatedly access the link or transfer it to patients' third parties. A total of 33 and 29 patients were enrolled in the intervention and control arms. The understanding score did not statistically differ between the arms (mean difference, 0.7 [95% CI: À0.2, 1.5]; p = 0.13). However, 76% of patients in the intervention arm accessed the link, and patient median access count was 14. The link recipients of third parties had comparable understanding scores to the patients (mean difference, À0.2 [95% CI: À1.9, 1.5]; p = 1.00), indicating that the understanding could be shared remotely with patients and patients' third parties. In conclusion, it was feasible that people physically separated from patients obtained a comparable understanding of lung cancer surgery using the patient's CT-derived 3D virtual explanation module.

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Prognostic factors for survival in patients with metastatic lung adenocarcinoma: An analysis of the SEER database

Cited by 24 publications

References 45 publications

PD-(L)1 Inhibitors as Monotherapy for the First-Line Treatment of Non-Small-Cell Lung Cancer Patients with High PD-L1 Expression: A Network Meta-Analysis

PD-(L)1 Inhibitors as Monotherapy for the First-Line Treatment of Non-Small-Cell Lung Cancer Patients with High PD-L1 Expression: A Network Meta-Analysis

A predictive web-based nomogram for the early death of patients with lung adenocarcinoma and bone metastasis: a population-based study

Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial

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