scholarly journals The Dual Effect of CD28 on The Prognosis of Lung Cancer Based On Nomograms: A Comprehensive Analysis of The Tumor Immune Microenvironment

2020 ◽  
Author(s):  
dantong sun ◽  
Lu Tian ◽  
Tiantian Bian ◽  
Han Zhao ◽  
Junyan Tao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Multivariate Analyses ◽  
Cancer Prognosis ◽  
Immune Microenvironment ◽  
Dual Effect ◽  
Internal Validation ◽  
Lung Cancer Patients ◽  
Tumor Immune Microenvironment

Abstract Background Lung cancer has ranked first in China in recent years, and TIME-related molecules may serve as biomarkers for the prognosis of lung cancer. Nomograms are widely used tools for the evaluation of prognosis in malignancies. We performed this study to construct nomograms based on TIME for predicting the prognosis of lung cancer. Methods Univariate and multivariate analyses were performed to estimate prognosis. TIME-related variables and basic clinical characteristics were included in the nomograms. Discrimination and calibration were used for the internal validation of the nomograms. Patients in our center and in the TCGA database were involved in the construction of the nomograms. Results Both LUAD and lung cancer patients with a higher expression of CD28 had a shorter DFS (P = 0.0011; P = 0.0001) but a longer OS (P = 0.0001; P = 0.0282). Nomograms for the DFS of young LUAD patients and the OS of LUAD and lung cancer patients were constructed. The established nomograms provide an easy way to estimate prognosis. Patients may obtain not only probabilities for disease progression and 1-year, 3-year or 5-year survival but also a precise and individualized follow-up regimen. Conclusion TIME-related variables are closely associated with the prognosis of lung cancer patients, especially young LUAD patients. CD28, which has a dual effect on lung cancer prognosis, may be a novel biomarker for not only the prognosis of lung cancer but also sensitivity to immunotherapy. Nomograms based on TIME may be a novel way to predict the prognosis of lung cancer.

scholarly journals BSCI-09. Multiomic single cell analysis reveals emerging principles of tumor immune microenvironment inherent to NSCLC brain metastases

2021 ◽  
Vol 3 (Supplement_3) ◽  
pp. iii3-iii3
Author(s):  
Lei Wen ◽  
Changguo Shan ◽  
Da Liu ◽  
Cheng Zhou ◽  
Linbo Cai
Keyword(s):  
Lung Cancer ◽  
Brain Metastasis ◽  
Brain Metastases ◽  
Single Cell ◽  
Cancer Patients ◽  
Cancer Cell ◽  
Immune Microenvironment ◽  
Lung Cancer Patients ◽  
Tumor Immune Microenvironment ◽  
Treatment Naïve

Abstract Brain is one of the most common sites for distant metastasis of lung cancer. Treatment naïve lung cancer patients diagnosed with brain metastasis are left with very limited options. Checkpoint inhibition is a powerful immunotherapy strategy but delivers benefit only to a small population of patients. Here we harnessed the power and resolution of single cell RNA sequencing and single cell TCR/BCR sequencing to investigate the tumor immune microenvironment (TIME) of NSCLC brain metastases. We enrolled treatment naïve lung cancer patients with brain metastasis. The enrolled subjects covered different histology types and driver gene mutation status. We revealed the emerging principles of innate and adaptive immune components inherent to NSCLC brain metastases. We also uncovered several significant intercellular communication patterns that potentiates cancer cell seeding and fosters cancer cell proliferation. Those results served as a starting point to design optimal immunotherapy strategies for advanced lung cancer patients with limited options.

A New Multiparametric Classification in Lung Cancer Patients - S.M.I.G.

1983 ◽  
Vol 69 (5) ◽  
pp. 437-443 ◽  
Author(s):  
Claudio Modini ◽  
Mario Albertucci ◽  
Franco Cicconetti ◽  
Donatella Tirindelli Danesi ◽  
Renzo Cristiani ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Growth Rate ◽  
Mortality Rate ◽  
Cancer Patients ◽  
Cell Type ◽  
Tnm System ◽  
Lung Cancer Patients ◽  
The Difference

The classification of bronchogenic carcinoma as a function of the prognosis is still an open field. The evaluation of stage, by use of the TNM system, and histologic cell type is not sufficient to guarantee a correct prognosis. The growth rate of the neoplasm is another important parameter. We propose a classification that takes into account the stage (S), histologic cell type (M), immune status (I) and the growth rate of the primary tumor (G): S.M.I.G. We studied 90 lung cancer patients according to the S.M.I.G. classification and we observed that their prognoses were directly correlated with their S.M.I.G. scores (the higher the score, the higher the 10-month mortality rate). The mortality rates within the first 10 months of follow-up were respectively 0%, 0%, 36.36%, 68%, 90.9% for the 5 groups obtained by S.M.I.G. The difference is statistically significant (P < 0.0075) and there is a linear correlation between the mortality rate and the score assigned to each group (R = 0.943; P < 0.05). The S.M.I.G. classification can predict the prognosis more efficiently than the usual classification (TNM) and histological cell type.

scholarly journals Baseline Plasma EGFR Circulating Tumour DNA Levels in a Pilot Cohort of EGFR-Mutant Limited-Stage Lung Adenocarcinoma Patients Undergoing Radical Lung Radiotherapy

2020 ◽  
Vol 13 (2) ◽  
pp. 896-903
Author(s):  
Brendan Seng Hup Chia ◽  
Wen Long Nei ◽  
Sabanayagam Charumathi ◽  
Kam Weng Fong ◽  
Min-Han Tan
Keyword(s):  
Lung Cancer ◽  
Lung Adenocarcinoma ◽  
Cancer Patients ◽  
Early Stage ◽  
Early Stage Disease ◽  
Lung Cancer Patients ◽  
Limited Stage ◽  
Potential Biomarker ◽  
Egfr Mutant

The use of circulating cell-free tumour DNA (ctDNA) is established in metastatic lung adenocarcinoma to detect and monitor sensitising EGFR mutations. In early-stage disease, there is very little data supporting its role as a potential biomarker. We report on a prospective cohort of 9 limited-stage EGFR mutant lung cancer patients who were treated with radical radiotherapy. We looked at baseline plasma EGFR ctDNA and noted the detection rates to be higher in locally advanced disease. At a median follow-up of 13.5 months, an association between a detectable pre-radiotherapy plasma EGFR ctDNA and early tumour relapse (155 days vs. NR, p = 0.004) was noted. One patient with persistent plasma EGFR ctDNA predated radiological progression. The role of ctDNA in early-stage lung cancer is developing. Plasma EGFR ctDNA could be a useful biomarker in lung cancer patients undergoing radical treatments for staging, prognostication, and follow-up. These preliminary findings should be explored in larger studies.

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