scholarly journals PS01.51: The Impact of PET Staging and Molecular Profiling on the Radiotherapy Outcomes of Primary Lung Adenocarcinoma

2016 ◽  
Vol 11 (11) ◽  
pp. S301
Author(s):  
Brendan Seng Hup Chia ◽  
Kevin Lee Min Chua ◽  
W.L. Ng ◽  
S.P. Yap ◽  
A. Thiagarajan ◽  
...  
2021 ◽  
pp. jclinpath-2021-207388
Author(s):  
Hiral Jhala ◽  
Leanne Harling ◽  
Alberto Rodrigo ◽  
Daisuke Nonaka ◽  
Emma Mclean ◽  
...  

AimsPrimary lung adenocarcinoma consists of a spectrum of clinical and pathological subtypes that may impact on overall survival (OS). Our study aims to evaluate the impact of adenocarcinoma subtype and intra-alveolar spread on survival after anatomical lung resection and identify different prognostic factors based on stage and histological subtype.MethodsNewly diagnosed patients undergoing anatomical lung resections without induction therapy, for pT1-3, N0-2 lung adenocarcinoma from April 2011 to March 2013, were included. The effect of clinical–pathological factors on survival was retrospectively assessed.ResultsTwo hundred and sixty-two patients were enrolled. The 1-year, 3-year and 5-year OS were 88.8%, 64.3% and 51.1%, respectively. Univariate analysis showed lymphovascular, parietal pleural and chest wall invasion to confer a worse 1-year and 5-year prognosis (all p<0.0001). Solid predominant adenocarcinomas exhibited a significantly worse OS (p=0.014). Multivariate analysis did not identify solid subtype as an independent prognostic factor; however, identified stage >IIa, lymphovascular invasion (p=0.002) and intra-alveolar spread (p=0.009) as significant independent predictors of worse OS. Co-presence of intra-alveolar spread and solid predominance significantly reduced OS. Disease-free survival (DFS) was reduced with parietal pleural (p=0.0007) and chest wall invasion (p<0.0001), however, adenocarcinoma subtype had no significant impact on DFS.ConclusionsOur study demonstrates that solid predominant adenocarcinoma, intra-alveolar spread and lymphovascular invasion confer a worse prognosis and should be used as a prognostic tool to determine appropriate adjuvant treatment.


Lung Cancer ◽  
2018 ◽  
Vol 126 ◽  
pp. 139-148 ◽  
Author(s):  
Thomas Klikovits ◽  
Zoltán Lohinai ◽  
Katalin Fábián ◽  
Márton Gyulai ◽  
Mária Szilasi ◽  
...  

2019 ◽  
Vol 25 ◽  
pp. 319-320
Author(s):  
Lourdes Rodriguez ◽  
Mary Baker ◽  
Daniel W Karakla ◽  
David Lieb

1998 ◽  
Vol 37 (08) ◽  
pp. 297-298 ◽  
Author(s):  
A. Özet ◽  
A. Arpaci ◽  
S. Kömiircü ◽  
G. Üçkaya

Summary50 years old man suffering from primary lung adenocarcinoma presented with high levels of both beta subunit human chorionic gonadotropin (βHCG) and cancer antigen 15-3 (CA 15-3) in the absence of elevated carcinoembrionic antigen (CEA), alfa fetoprotein (AFP) and carbohydrate antigen 19-9 (CA 19-9). Although βHCG or CA 15-3 high levels were reported in adenocarcinoma of lung, this is the first report of a patient with high levels of both markers.


2021 ◽  
Author(s):  
Chenxi Yuan ◽  
Qingwei Wang ◽  
Xueting Dai ◽  
Yipeng Song ◽  
Jinming Yu

Abstract Background: Lung adenocarcinoma (LUAD) and skin cutaneous melanoma (SKCM) are common tumors around the world. However, the prognosis in advanced patients is poor. Because NLRP3 was not extensively studied in cancers, so that we aimed to identify the impact of NLRP3 on LUAD and SKCM through bioinformatics analyses. Methods: TCGA and TIMER database were utilized in this study. We compared the expression of NLRP3 in different cancers and evaluated its influence on survival of LUAD and SKCM patients. The correlations between clinical information and NLRP3 expression were analyzed using logistic regression. Clinicopathologic characteristics associated with overall survival in were analyzed by Cox regression. In addition, we explored the correlation between NLRP3 and immune infiltrates. GSEA and co-expressed gene with NLRP3 were also done in this study. Results: NLRP3 expressed disparately in tumor tissues and normal tissues. Cox regression analysis indicated that up-regulated NLRP3 was an independent prognostic factor for good prognosis in LUAD and SKCM. Logistic regression analysis showed increased NLRP3 expression was significantly correlated with favorable clinicopathologic parameters such as no lymph node invasion and no distant metastasis. Specifically, a positive correlation between increased NLRP3 expression and immune infiltrating level of various immune cells was observed. Conclusion: Together with all these findings, increased NLRP3 expression correlates with favorable prognosis and increased proportion of immune cells in LUAD and SKCM. These conclusions indicate that NLRP3 can serve as a potential biomarker for evaluating prognosis and immune infiltration level.


2016 ◽  
Vol 242 (7) ◽  
pp. 709-717 ◽  
Author(s):  
Li Yan ◽  
Demin Jiao ◽  
Huizhen Hu ◽  
Jian Wang ◽  
Xiali Tang ◽  
...  

This study aimed to screen lymphatic metastasis-related microRNAs (miRNAs) in lung adenocarcinoma and explore their underlying mechanisms using bioinformatics. The miRNA expression in primary lung adenocarcinoma, matched adjacent non-tumorigenic and lymph node metastasis tissues of patients were profiled via microarray. The screened metastasis-related miRNAs were then validated using quantitative real-time PCR in a second cohort of lung adenocarcinoma patients with lymphatic metastasis. Significance was determined using a paired t-test. Target genes of the metastasis-related miRNAs were predicted using TargetScan, and transcription factors (TFs) were predicted based on the TRANSFAC and ENCODE databases. Furthermore, the related long non-coding RNAs (lncRNAs) were screened with starBase v2.0. The miRNA-TF-mRNA and lncRNA-miRNA-mRNA networks were constructed to determine the key interactions associated with lung adenocarcinoma metastasis. According to the miRNA microarray results, there were 10 miRNAs that were differentially expressed in metastatic tissues compared with primary tumor and adjacent non-tumorigenic tissues. Among them were increased levels of miR-146a-5p, miR-342-3p, and miR-150-5p, which were validated in the second cohort. Based on the miRNA-TF-mRNA network, vascular endothelial growth factor A and transcription factors (TFs) including TP53, SMAD4, and EP300 were recognized as critical targets of the three miRNAs. Interactions involving SNHG16–miR-146a-5p–SMAD4 and RP6-24A23.7–miR-342-3p/miR-150-5p–EP300 were highlighted according to the lncRNA-miRNA-mRNA network. miR-146a-5p, miR-342-3p, and miR-150-5p are lymphatic metastasis-related miRNAs in lung adenocarcinoma. Bioinformatics analyses demonstrated that SNHG16 might inhibit the interaction between miR-146a-5p and SMAD4, while RP6-24A23.7 might weaken miR-342-3p–EP300 and miR-150-5p–EP300 interactions in metastasis.


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