Thyroid hormone receptor α1 acts as a new squamous cell lung cancer diagnostic marker and poor prognosis predictor: Can it be a novel therapeutic target?

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e20508-e20508
Author(s):  
Fatma El Zahraa Ammar Mohamed ◽  
Ali Omar Abdelaziz ◽  
Ahmed Hussein Kasem ◽  
Tarek Ellethy ◽  
Mariana Fathy Gayyed

e20508 Background: Lung cancer is considered the first cause of cancer-related death worldwide. Unfortunately, all therapeutic regimens used in lung cancer treatment showed relatively equivalent efficacy. The search and subsequent testing of new therapeutic targets that can be used alternative to, after the failure of or in association with the currently used therapeutics to improve the prognosis is an urgent demand and consequently a very interesting era of oncological lung research. Up to date, it is known that Thyroid hormones and Thyroid hormone receptors (THRs) controls many tumors progression, nevertheless, its role in non-Small Cell Lung cancer (NSCLC) is not yet defineltly understood. This study investigated the expression of Thyroid hormone receptor alpha 1 (THRα1) in NSCLC cases. Methods: Immunohistochemistry using THRα1 antibody was performed on tissue sections collected from 80 patients diagnosed with NSCLC. We also analyzed the expression of THRα gene in Microarrays of squamous cell lung carcinoma (SCC) and adenocarcinoma (AC) patients by using GEO datasets on https://www.ncbi.nlm.nih.gov. Results: We showed, for the first time, the expression of THRa1 in NSCLC. Intermediate and high THRa1 expression was detected in (25% and 66.7%) of SCC cases respectively. High THRa1 expression was associated with shorter OS and poor prognosis. On the other hand, 86.7% of AC cases revealed low THRa1expression. By analyzing GEO data sets, a significant increase in THRa gene value was found in SCC compared to AC cases. Inflammatory cells in SCC cases showed high THRα1 expression. Conclusions: Our study is shedding a new light on the relevance of THRα1 in lung cancer not only as a possible prognostic marker but also as an innovative diagnostic additive tool for lung squamous cell carcinoma which could be tested as a therapeutic target as well.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fatma El Zahraa A. Mohamed ◽  
Ali Omar Abdelaziz ◽  
Ahmed Hussein Kasem ◽  
Tarek Ellethy ◽  
Mariana F. Gayyed

AbstractLung cancer is considered the major cause of cancer-related deaths worldwide. Unfortunately, all chemotherapy regimens used in lung cancer treatment showed nearly the same efficacy. Finding a new therapeutic target that can be used as an alternative after the failure of or in association with chemotherapy to improve the prognosis is an urgent demand. Up to date, it is Known that thyroid hormones (THs) and Thyroid hormone receptors (THRs) control the progression of several types of tumours. Nevertheless, their role in non-small cell lung cancer (NSCLC) is unknown. This study investigated the expression of THRα1 in NSCLC cases and its correlation to tumour clinicopathological parameters to shed new light on the relevance of THRα1 in lung cancer. Immunohistochemistry utilizing THRα1 antibody was performed on tissue sections obtained from 80 patients diagnosed with NSCLC. We also investigated the expression of THRα gene in Microarrays of lung squamous cell carcinoma (SCC) and adenocarcinoma (AC) patients by using GEO data sets on https://www.ncbi.nlm.nih.gov. We showed, for the first time, the expression of THRα1 in NSCLC. Intermediate and high THRα1 expressions were detected in (25% and 66.7%) of SCC cases respectively. High THRα1 expression was associated with shorter OS. On the other hand, 86.7% of AC cases revealed low THRα1 expression. Inflammatory cells in SCC cases showed high THRα1 expression. By analysing GEO data sets, a significant increase in THRα gene expression was found in SCC compared to AC cases. Our study underscores the possibility of using THRα1 expression not only as a prognostic marker, but also as an innovative diagnostic additive tool for lung SCC, which could be tested as a potential therapeutic target for SCC in the future.


2020 ◽  
Vol 2020 (9) ◽  
Author(s):  
Raghav Chandra ◽  
Epameinondas Dogeas ◽  
Nicole Nevarez ◽  
Mathew Augustine ◽  
Sergio Huerta

Abstract Lung cancer (LC) is an aggressive malignancy with early metastatic spread and poor prognosis. Gastrointestinal metastases from primary LC are extremely rare with highly variable presentations. In this report, we review the case of a patient who presented with peritonitis secondary to perforated sigmoid mass as the first manifestation of metastatic squamous cell LC.


2016 ◽  
Author(s):  
Sahba Kasiri ◽  
Chunli Shao ◽  
Baozhi Chen ◽  
Alexandra Wilson ◽  
Paul Yenerall ◽  
...  

2016 ◽  
Vol 11 (2) ◽  
pp. S28
Author(s):  
Chunli Shao ◽  
Sahba Kasiri ◽  
Alexandra Wilson ◽  
Baozhi Chen ◽  
Paul Yenerall ◽  
...  

2017 ◽  
Vol 51 (2) ◽  
pp. 489-497 ◽  
Author(s):  
Zhidong Gu ◽  
Xuqian Fang ◽  
Chang Li ◽  
Changqiang Chen ◽  
Guangshu Liang ◽  
...  

Molecules ◽  
2021 ◽  
Vol 26 (3) ◽  
pp. 550
Author(s):  
Leonardo Politi ◽  
Lorenzo Monasta ◽  
Maria Novella Rigressi ◽  
Andrea Princivalle ◽  
Alessandro Gonfiotti ◽  
...  

The objective of the present work was to analyze volatile compounds in alveolar air in patients with squamous cell lung cancer, lung adenocarcinoma or colon cancer, to prepare algorithms able to discriminate such specific pathological conditions. The concentration of 95 volatile compounds was measured in the alveolar air of 45 control subjects, 36 patients with lung adenocarcinoma, 25 patients with squamous cell lung cancer and 52 patients with colon cancer. Volatile compounds were measured with ion molecule reaction mass spectrometry (IMR-MS). An iterated least absolute shrinkage and selection operator multivariate logistic regression model was used to generate specific algorithms and discriminate control subjects from patients with different kinds of cancer. The final predictive models reached the following performance: by using 11 compounds, patients with lung adenocarcinoma were identified with a sensitivity of 86% and specificity of 84%; nine compounds allowed us to identify patients with lung squamous cell carcinoma with a sensitivity of 88% and specificity of 84%; patients with colon adenocarcinoma could be identified with a sensitivity of 96% and a specificity of 73% using a model comprising 13 volatile compounds. The different alveolar profiles of volatile compounds, obtained from patients with three different kinds of cancer, suggest dissimilar biological–biochemistry conditions; each kind of cancer has probably got a specific alveolar profile.


Sign in / Sign up

Export Citation Format

Share Document