scholarly journals Tumour islet Foxp3+ T-cell infiltration predicts poor outcome in nonsmall cell lung cancer

2015 ◽  
Vol 46 (6) ◽  
pp. 1762-1772 ◽  
Author(s):  
Dermot S. O'Callaghan ◽  
Elton Rexhepaj ◽  
Kathy Gately ◽  
Linda Coate ◽  
David Delaney ◽  
...  

The impact of host immunity on outcome in nonsmall cell lung cancer (NSCLC) is controversial. We examined the relationship between lymphoid infiltration patterns in NSCLC and prognosis.Tumour- and stroma-infiltrating CD3+, CD8+ and forkhead box P3 (Foxp3)+ T-lymphocytes were identified using immunohistochemistry and a novel image analysis algorithm to assess total, cytotoxic and regulatory T-lymphocyte counts, respectively, in 196 NSCLC cases. The median cell count was selected as a cut-point to define patient subgroups and the ratio of the corresponding tumour islet:stroma (TI/S) counts was determined.There was a positive association between overall survival and increased CD8+ TI/S ratio (hazard ratio (HR) for death 0.44, p<0.001) but an inverse relationship between Foxp3+ TI/S ratio and overall survival (HR 4.86, p<0.001). Patients with high CD8+ islet (HR 0.48, p<0.001) and Foxp3+ stromal (HR 0.23, p<0.001) counts had better survival, whereas high CD3+ and CD8+ stromal counts and high Foxp3+ islet infiltration conferred a worse survival (HR 1.55, 2.19 and 3.14, respectively). By multivariate analysis, a high CD8+ TI/S ratio conferred an improved survival (HR 0.48, p=0.002) but a high Foxp3+ TI/S ratio was associated with worse survival (HR 3.91, p<0.001).Microlocalisation of infiltrating T-lymphocytes is a powerful predictor of outcome in resected NSCLC.

2014 ◽  
Vol 26 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Juan P. Cata ◽  
Vijaya Gottumukkala ◽  
Dilip Thakar ◽  
Dinesh Keerty ◽  
Rodolfo Gebhardt ◽  
...  

2013 ◽  
Vol 14 (2) ◽  
pp. 120-127 ◽  
Author(s):  
George Dranitsaris ◽  
Nancy Beegle ◽  
Arliene Ravelo ◽  
Traci Kalberer ◽  
Elaine Yu ◽  
...  

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 7202-7202
Author(s):  
D. B. Costa ◽  
P. Stephenson ◽  
O. Kocher ◽  
D. G. Tenen ◽  
R. H. Feins ◽  
...  

7202 Background: The transcription factor CCAAT/enhancer binding protein alpha (C/EBPα) is down-regulated in a majority of lung cancers. We sought to determine if C/EBPα could be a prognostic or predictive factor in non-small-cell lung cancer (NSCLC). Methods: Our cohort originated from ECOG 3590/4592 (randomized trial of postoperative adjuvant therapy with thoracic radiation or cisplatin and etoposide plus thoracic radiation in patients with completely resected stages II and IIIA NSCLC; and its laboratorial study). 166 tumor samples contained material for immunohistochemical (IHC) analysis of C/EBPα expression. We used a scoring system comparing tumor staining to that of basal bronchial cells (3+). 0 or 1+ (weak) staining suggested lack of, while 2 or 3+ (strong) suggested C/EBPα expression. Our primary outcomes were differences in progression-free and overall survival between the groups with weak or strong staining. Results: Among the 166 patients analyzed for C/EBPα IHC, the median progression free and overall survival were 30.7 and 40.3 months, respectively; which do not differ from the complete E4592 cohort. 92 patient samples (55%) had 0 or 1+ staining, and the remaining 74 (45%) 2 or 3+. The median progression free survival for patients with weak and strong C/EBPα IHC expression was 31.5 and 30.2 months, respectively (p = 0.84). The median overall survival between the weak and strong groups was 47.5 and 38.3 months, respectively (p = 0.54). 10 years after enrollment, 27% (25/92) of patients were alive in the weak, and 24% (18/74) in the strong C/EBPα IHC group. No difference between our primary outcomes by C/EBPα expression was identified. There was no difference in outcome by treatment arm, tumor histology, stage, or patient’s characteristics. There was a trend towards loss of C/EBPα and less differentiated tumor samples (p = 0.07). Conclusions: C/EBPα is a novel tumor suppressor gene in lung cancer with loss of expression in over 50% of NSCLC. However, our data demonstrate that in a subset of patients with resected NSCLC, C/EBPα IHC status is neither a prognostic nor a predictive marker. Further studies are needed to establish the molecular mechanisms of C/EBPα inactivation in lung cancer and its possible role as a new therapeutic target. No significant financial relationships to disclose.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e19086-e19086
Author(s):  
Tindara Franchina ◽  
Alessandro Russo ◽  
Claudia Proto ◽  
Giuseppe Chiofalo ◽  
Maria Picciotto ◽  
...  

e19086 Background: In the last few years, the treatment of non-small cell lung cancer (NSCLC) has been dramatically changed with the introduction of EGFR TK (Epidermal Growth Factor Tyrosine Kinase) inhibitors. Given its objectivity and the benefits derived by patients, overall survival (OS) has been historically considered the most important therapeutic objective in advanced NSCLC. However, little is known about postprogression survival (PPS) in NSCLC. This study evaluates the correlation between response to erlotinib and post progression survival (i.e. the time between disease progression and death) to estimate the impact of this drug on overall survival. Methods: We retrospectively analyzed 68 NSCLC unselected patients consecutively treated with second or third line erlotinib at our institution from 2007 to 2010, including in the responder group patients who progressed after stable disease on erlotinib for at least six months (n=20). The relationship between OS and PPS was evaluated by standard statistical tests. P-values <0.05 were considered statistically significant. Results: Survival was significantly prolonged in responders patients (18.6 vs 11.3) suggesting the important role of EGFR TK inhibitors in NSCLC management. In addition a significant increase of PPS was recorded in these patients (9.1 vs 4.6 p=0.02), allowing to perform further therapy lines to better control cancer evolution. Conclusions: These data underline the key role of EGFR in NSCLC growth and progression and the impact of erlotinib in cancer control evolution. Post progression therapy influence the effect on overall survival. This analysis suggests that a treatment strategy incorporating all active agents over the course of disease optimizes OS. Further investigations will be needed in selected patients harboring EGFR-activating mutations to better define the role of PPS as new indicator of erlotinib efficacy.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21064-e21064
Author(s):  
Yuan Zeng ◽  
Wenhua Liang ◽  
Jianxing He

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.


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