scholarly journals Lobectomy Can Improve the Survival of Patients With Non-small Cell Lung Cancer With Lung Oligometastatic

2021 ◽  
Vol 8 ◽  
Author(s):  
Lingwei Wang ◽  
Fanglei Jiao ◽  
Lin Dong ◽  
Qinchuan Li ◽  
Gang Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Seer Database ◽  
Small Cell Lung ◽  
Pulmonary Surgery ◽  
Organ Metastasis ◽  
Nsclc Patients ◽  
Single Organ

Background: This study was to evaluate the value of lobectomy in the prognosis of Non-small cell lung cancer (NSCLC) patients with primary metastasis based on the Surveillance Epidemiology and End Results (SEER) database.Methods: This was a population-based retrospective study and the clinical data were collected from the National Cancer Institute's SEER database between 2010 and 2015. The effects of pulmonary surgery and surgical procedures on lung cancer-specific survival (LCSS) and overall survival (OS) were assessed, and the COX regression models were employed to evaluate the survival of primary surgery in patients with primary metastatic NSCLC (pmNSCLC) and the survival of surgical procedure in pmNSCLC patients.Results: A total of 55,717 patients diagnosed with pmNSCLC between 2010 and 2015 were enrolled, and pulmonary surgery was indicated in 1,575 (2.83%) patients. Surgery was an independent risk factor for LCSS (P < 0.001, HR 0.658, 95%CI: 0.637–0.680) and OS (P < 0.001, HR 0.665, 95%CI: 0.644–0.686) of pmNSCLC patients. The surgery was associated with better OS (P < 0.001, HR 0.678, 95%CI: 0.657–0.699). The site of metastasis was also related to the survival after primary tumor surgery (P = 0.001). As compared to the sublobectomy and pneumonectomy, lobectomy improved the LCSS for NSCLC patients with single-organ metastasis, rather than multiple metastases (P < 0.001). In patients receiving sublobectomy, lobectomy, and pneumonectomy, the median LCSS was 12, 28, and 13 months, respectively, and the 5-year LCSS rate was 14.39, 32.06, and 17.24%, respectively.Conclusion: The effect of locoregional surgery on the survival of pmNSCLC patients with single-organ metastasis has been underestimated, and lobectomy may be a preferred treatment for patients with single-lung metastasis.

scholarly journals A nomogram model to predict death rate among non-small cell lung cancer (NSCLC) patients with surgery in Surveillance, Epidemiology, and End Results (SEER) database

2020 ◽  
Author(s):  
Bo Jia ◽  
Qiwen Zheng ◽  
Jingjing Wang ◽  
Hongyan Sun ◽  
Jun Zhao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lymph Node ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Death Rate ◽  
Prognostic Model ◽  
Small Cell ◽  
Seer Database ◽  
Small Cell Lung ◽  
Nsclc Patients

Abstract Background This study aimed to establish a novel nomogram prognostic model to predict death probability for non-small cell lung cancer (NSCLC) patients who received surgery. Methods We collected data from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute in the United States. A nomogram prognostic model was constructed to predict mortality of NSCLC patients who received surgery. Results A total of 44,880 NSCLC patients who received surgery from 2004 to 2014 were included in this study. Gender, race, tumor anatomic sites, histologic subtype, tumor differentiation, clinical stage, tumor size, tumor extent, lymph node stage, examined lymph node, positive lymph node, type of surgery showed significant associations with lung cancer related death rate (P<0.001). Patients who received chemotherapy and radiotherapy had significant higher lung cancer related death rate but were associated with significant lower non-cancer related mortality (P<0.001). A nomogram model was established based on multivariate models of training data set. In the validation cohort, the unadjusted C-index was 0.73 (95% CI, 0.72-0.74), 0.71 (95% CI, 0.66-0.75) and 0.69 (95% CI, 0.68-0.70) for lung cancer related death, other cancer related death and non-cancer related death. Conclusions A prognostic nomogram model was constructed to predict death rate for NSCLC patients who received surgery. This novel prognostic model may be helpful for physicians to develop the most appropriate treatment strategies for resected NSCLC patients. Parts of these results were presented at the 2018 American Society of Clinical Oncology Annual Meeting (Abstract #8525)

A nomogram for predicting overall survival in resected non-small cell lung cancer with chemotherapy.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21064-e21064
Author(s):  
Yuan Zeng ◽  
Wenhua Liang ◽  
Jianxing He
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Seer Database ◽  
Small Cell Lung ◽  
Lymph Node Count ◽  
Resected Nsclc ◽  
Nsclc Patients

e21064 Background: Chemotherapy is very common for resected Non-Small-Cell Lung Cancer (NSCLC) patients. However, models for predicting the survival outcomes of resected NSCLC patients with chemotherapy are scarce. The aim of this study was to develop a clinical nomogram for predicting overall survival in these patients. Methods: A total of 16661 resected NSCLC with chemotherapy were cases extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We identified and integrated the prognostic factors to build a nomogram.The model was subjected to bootstrap internal validation with the SEER database and external validations with 1108 patients from China. The predictive accuracy and discriminative ability were illustrated by calibration, concordance index (C-index) and risk group stratification. Results: On multivariate analysis independent factors for OS were age, sex, examined lymph node count, extent of surgery, N stage, T stage and grade which were then integrated into the nomogram. The calibration curves for probability of 1-, 3-, and 5-year OS showed excellent agreement between nomogram prediction and actual observation. The C-index of the nomogram was higher than that of AJCC 8th edition system for predicting OS (training cohort, 0.61 vs. 0.58; P < 0.01; validation cohort, 0.66 vs. 0.63, P = 0.56). The stratification into different risk groups allowed significant distinction between survival curves. Conclusions: We established a nomogram that can provide individual prediction of OS for resected NSCLC patients with chemotherapy. This practical prognostic model may help clinicians for treatment planning and to guide future studies.

scholarly journals Biomarkers and Gene Signatures to Predict Durable Response to Pembrolizumab in Non-Small Cell Lung Cancer

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3828
Author(s):  
Anello Marcello Poma ◽  
Rossella Bruno ◽  
Iacopo Pietrini ◽  
Greta Alì ◽  
Giulia Pasquini ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Immune Cell ◽  
Small Cell ◽  
Small Cell Lung ◽  
First Line ◽  
Durable Response ◽  
Nsclc Patients

Pembrolizumab has been approved as first-line treatment for advanced Non-small cell lung cancer (NSCLC) patients with tumors expressing PD-L1 and in the absence of other targetable alterations. However, not all patients that meet these criteria have a durable benefit. In this monocentric study, we aimed at refining the selection of patients based on the expression of immune genes. Forty-six consecutive advanced NSCLC patients treated with pembrolizumab in first-line setting were enrolled. The expression levels of 770 genes involved in the regulation of the immune system was analysed by the nanoString system. PD-L1 expression was evaluated by immunohistochemistry. Patients with durable clinical benefit had a greater infiltration of cytotoxic cells, exhausted CD8, B-cells, CD45, T-cells, CD8 T-cells and NK cells. Immune cell scores such as CD8 T-cell and NK cell were good predictors of durable response with an AUC of 0.82. Among the immune cell markers, XCL1/2 showed the better performance in predicting durable benefit to pembrolizumab, with an AUC of 0.85. Additionally, CD8A, CD8B and EOMES showed a high specificity (>0.86) in identifying patients with a good response to treatment. In the same series, PD-L1 expression levels had an AUC of 0.61. The characterization of tumor microenvironment, even with the use of single markers, can improve patients’ selection for pembrolizumab treatment.

scholarly journals Circulating Biomarkers of Response and Toxicity of Immunotherapy in Advanced Non-Small Cell Lung Cancer (NSCLC): A Comprehensive Review

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1794
Author(s):  
Alice Indini ◽  
Erika Rijavec ◽  
Francesco Grossi
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Liquid Biopsy ◽  
Cytotoxic T Lymphocyte ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Circulating Biomarkers ◽  
Small Cell Lung ◽  
Nsclc Patients

Immune checkpoint inhibitors (ICIs) targeting the programmed cell death (PD)-1 protein and its ligand, PD-L1, and cytotoxic T-lymphocyte-associated antigen (CTLA)-4, have revolutionized the management of patients with advanced non-small cell lung cancer (NSCLC). Unfortunately, only a small portion of NSCLC patients respond to these agents. Furthermore, although immunotherapy is usually well tolerated, some patients experience severe immune-related adverse events (irAEs). Liquid biopsy is a non-invasive diagnostic procedure involving the isolation of circulating biomarkers, such as circulating tumor cells (CTC), cell-free DNA (cfDNA), and microRNAs (miRNAs). Thanks to recent advances in technologies, such as next-generation sequencing (NGS) and digital polymerase chain reaction (dPCR), liquid biopsy has become a useful tool to provide baseline information on the tumor, and to monitor response to treatments. This review highlights the potential role of liquid biomarkers in the selection of NSCLC patients who could respond to immunotherapy, and in the identification of patients who are most likely to experience irAEs, in order to guide improvements in care.

scholarly journals 1318P Association between soluble PD-L1 and prognosis of non-small cell lung cancer (NSCLC) patients treated with immunotherapy

2020 ◽  
Vol 31 ◽  
pp. S851
Author(s):  
C. Dellepiane ◽  
S. Coco ◽  
M.G. Dal Bello ◽  
G. Rossi ◽  
E. Rijavec ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

scholarly journals Molecular profile of KRAS G12C-mutant colorectal and non-small-cell lung cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Luiz Henrique Araujo ◽  
Bianca Mendes Souza ◽  
Laura Rabelo Leite ◽  
Sabrina A. F. Parma ◽  
Natália P. Lopes ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Driver Mutations ◽  
Molecular Profile ◽  
Common Mutation ◽  
Small Cell Lung ◽  
The South ◽  
Nsclc Patients

Abstract Background KRAS is the most frequently mutated oncogene in cancer, however efforts to develop targeted therapies have been largely unsuccessful. Recently, two small-molecule inhibitors, AMG 510 and MRTX849, have shown promising activity in KRAS G12C-mutant solid tumors. The current study aims to assess the molecular profile of KRAS G12C in colorectal (CRC) and non-small-cell lung cancer (NSCLC) tested in a clinical certified laboratory. Methods CRC and NSCLC samples submitted for KRAS testing between 2017 and 2019 were reviewed. CRC samples were tested for KRAS and NRAS by pyrosequencing, while NSCLC samples were submitted to next generation sequencing of KRAS, NRAS, EGFR, and BRAF. Results The dataset comprised 4897 CRC and 4686 NSCLC samples. Among CRC samples, KRAS was mutated in 2354 (48.1%). Most frequent codon 12 mutations were G12D in 731 samples (14.9%) and G12V in 522 (10.7%), followed by G12C in 167 (3.4%). KRAS mutations were more frequent in females than males (p = 0.003), however this difference was exclusive of non-G12C mutants (p < 0.001). KRAS mutation frequency was lower in the South and North regions (p = 0.003), but again KRAS G12C did not differ significantly (p = 0.80). In NSCLC, KRAS mutations were found in 1004 samples (21.4%). As opposed to CRC samples, G12C was the most common mutation in KRAS, in 346 cases (7.4%). The frequency of KRAS G12C was higher in the South and Southeast regions (p = 0.012), and lower in patients younger than 50 years (p < 0.001). KRAS G12C mutations were largely mutually exclusive with other driver mutations; only 11 NSCLC (3.2%) and 1 CRC (0.6%) cases had relevant co-mutations. Conclusions KRAS G12C presents in frequencies higher than several other driver mutations, and may represent a large volume of patients in absolute numbers. KRAS testing should be considered in all CRC and NSCLC patients, independently of clinical or demographic characteristics.

Sign in / Sign up

Export Citation Format

Share Document