scholarly journals The prognostic impact of tumor cell expression of estrogen receptor-α, progesterone receptor, and androgen receptor in patients irradiated for nonsmall cell lung cancer

Cancer ◽  
2011 ◽  
Vol 118 (1) ◽  
pp. 157-163 ◽  
Author(s):  
Dirk Rades ◽  
Cornelia Setter ◽  
Olav Dahl ◽  
Steven E. Schild ◽  
Frank Noack
Keyword(s):  
Lung Cancer ◽  
Estrogen Receptor ◽  
Androgen Receptor ◽  
Progesterone Receptor ◽  
Tumor Cell ◽  
Cell Lung Cancer ◽  
Nonsmall Cell Lung Cancer ◽  
Estrogen Receptor Α ◽  
Prognostic Impact ◽  
Cell Expression

scholarly journals MicroRNA-181a-5p Impedes IL-17-Induced Nonsmall Cell Lung Cancer Proliferation and Migration through Targeting VCAM-1

2017 ◽  
Vol 42 (1) ◽  
pp. 346-356 ◽  
Author(s):  
Yang Cao ◽  
Dan Zhao ◽  
Ping Li ◽  
Lanrong Wang ◽  
Bingli Qiao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Proliferation ◽  
Tumor Cell ◽  
Cell Lung Cancer ◽  
Nonsmall Cell Lung Cancer ◽  
Interleukin 17 ◽  
Tumor Cell Proliferation ◽  
Cell Proliferation And Migration ◽  
And Migration ◽  
Proliferation And Migration

Aim: The contribution of the inflammatory mediator interleukin-17 (IL-17) in nonsmall cell lung cancer (NSCLC) malignancy has been reported in the literature. MicroRNA-181a-5p (miR-181a-5p) acts as a tumor suppressor which can regulate target gene at the posttranscriptional level. Our study aimed to investigate the interaction between IL-17 and miR-181a-5p in NSCLC. Methods: 35 patients with NSCLC and 24 COPD controls were selected and examined in our study. In vitro, H226 and H460 cell lines were exposed to different doses (20, 40, 60, and 80 ng/mL) of IL-17 to examine the effect of IL-17 on miR-181a-5p and vascular cell adhesion molecule 1 (VCAM-1) expression. MiR-181 mimic and miR-181a-5p inhibitor were transfected to explore the regulation of VCAM-1 as well as tumor cell proliferation and migration. Results: miR-181a-5p expression was downregulated, and IL-17 and VCAM-1 expression was upregulated in NSCLC tissues. Furthermore, IL-17 decreased miR-181a-5p expression but increased VCAM-1 expression in H226 and H460 cells. MiR-181 regulated VCAM-1 expression through binding to 3’-UTR sequence. MiR-181 attenuated tumor cell proliferation and migration. IL-17 modulated miR-181a-5p expression through activating NF-κB but not Stat3. Conclusion: Taken together, our data show the regulation of VCAM-1 expression by miR-181a-5p under IL-17 exposure, predicting a potential way for counteracting cancer metastasis.

scholarly journals Predictive and prognostic impact of primary tumor‐bearing lobe in nonsmall cell lung cancer patients treated with anti‐PD ‐1 therapy

2020 ◽  
Vol 147 (8) ◽  
pp. 2327-2334 ◽  
Author(s):  
Shinkichi Takamori ◽  
Kazuki Takada ◽  
Mototsugu Shimokawa ◽  
Taichi Matsubara ◽  
Naoki Haratake ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Primary Tumor ◽  
Nonsmall Cell Lung Cancer ◽  
Prognostic Impact ◽  
Lung Cancer Patients ◽  
Tumor Bearing

scholarly journals level of estrogen receptor α and β expression and coexpression in non-small cell lung cancer tissue

2019 ◽  
Vol 17 (4) ◽  
pp. 111-114
Author(s):  
T. A. Bogush ◽  
O. M. Ryabinina ◽  
M. I. Papulina ◽  
E. A. Bogush ◽  
A. N. Grishanina ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Estrogen Receptor ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Estrogen Receptor Α ◽  
Small Cell ◽  
Cancer Tissue ◽  
Lung Cancer Tissue ◽  
Small Cell Lung

scholarly journals Association of estrogen receptor α gene PvuII and XbaI polymorphisms with non-small cell lung cancer

2011 ◽  
Vol 3 (2) ◽  
pp. 462-468 ◽  
Author(s):  
HUAI-LU CHANG ◽  
YU-JEN CHENG ◽  
CHUNG-KUANG SU ◽  
MENG-CHIH CHEN ◽  
FU-HSIN CHANG ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Estrogen Receptor ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Estrogen Receptor Α ◽  
Small Cell ◽  
Small Cell Lung ◽  
Estrogen Receptor Α Gene

scholarly journals Prognostic impact of insulin receptor expression on survival of patients with nonsmall cell lung cancer

Cancer ◽  
2011 ◽  
Vol 118 (9) ◽  
pp. 2454-2465 ◽  
Author(s):  
Jin-Soo Kim ◽  
Edward S. Kim ◽  
Diane Liu ◽  
J. Jack Lee ◽  
Luisa Solis ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Insulin Receptor ◽  
Cell Lung Cancer ◽  
Nonsmall Cell Lung Cancer ◽  
Receptor Expression ◽  
Prognostic Impact ◽  
Insulin Receptor Expression

Overexpression of TSPAN8 Promotes Tumor Cell Viability and Proliferation in Nonsmall Cell Lung Cancer

2016 ◽  
Vol 31 (10) ◽  
pp. 353-359 ◽  
Author(s):  
Zheng Dong ◽  
Lijiang Zhao ◽  
Shijun Lu ◽  
Jie Xiong ◽  
Zhiguang Geng
Keyword(s):  
Lung Cancer ◽  
Tumor Cell ◽  
Cell Viability ◽  
Cell Lung Cancer ◽  
Nonsmall Cell Lung Cancer

scholarly journals Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA

2015 ◽  
Vol 24 (136) ◽  
pp. 340-355 ◽  
Author(s):  
Sandra Wallerek ◽  
Jens Benn Sørensen
Keyword(s):  
Lung Cancer ◽  
Adjuvant Chemotherapy ◽  
Cell Lung Cancer ◽  
Current Knowledge ◽  
Nonsmall Cell Lung Cancer ◽  
Chemotherapeutic Agents ◽  
Complete Resection ◽  
Prognostic Impact ◽  
Gene Profile ◽  
Nsclc Patients

Biomarkers may be useful when deciding which nonsmall cell lung cancer (NSCLC) patients may benefit from adjuvant chemotherapy following complete resection and which chemotherapeutic agents may be used preferably in individual patients in order to maximise survival.A literature search covering the period from 2003 to May, 2014 was conducted using PubMed and the following search terms: “non-small cell lung cancer”, “NSCLC”, “adjuvant chemotherapy”, “randomized”, “randomised”, “biomarkers”, “prognostic”, “predictive”. This review focuses on current knowledge of biomarkers for prognosis or efficacy of adjuvant treatment following complete resection in stage I–IIIA NSCLC patients.This review includes results on 18 different biomarkers and five gene profiles. A statistically significant prognostic impact was reported for: iNTR, TUBB3, RRM1, ERCC1, BRCA1, p53, MRP2, MSH2, TS, mucin, BAG-1, pERK1/2, pAkt-1, microRNA, TopIIA, 15-gene profile, 92-gene profile, 31-gene profile and 14-gene profile. A statistically significant predictive impact was reported for: ERCC1, p53, MSH2, p27, TUBB3, PARP1, ATM, 37-gene profile, 31-gene profile, 15-gene profile and 92-gene profile.Uncertainties regarding the optimal analysis method and cut-off levels for the individual markers may blur the prognostic or predictive signals. None of the possible predictive markers have been validated in prospective trials. Thus, there are no biomarkers ready to use in an adjuvant setting in NSCLC.

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