scholarly journals Establishment of a serological molecular model for the early diagnosis and progression monitoring of bone metastasis in lung cancer

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiaoyan Teng ◽  
Lirong Wei ◽  
Liming Han ◽  
Daliu Min ◽  
Yuzhen Du
2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e18042-e18042
Author(s):  
Koji Takeda ◽  
Shinya Tokunaga ◽  
Haruko Daga ◽  
Hideaki Okada ◽  
Koichi Taira ◽  
...  

e18042 Background: The bone resorption biomarker sNTx has been previously shown to add value as an aid in the diagnosis of bone metastasis in patients with lung cancer. The objective of this prospective study was to determine if periodic sNTx measurements could lead to early diagnosis of bone metastasis in patients with lung cancer. Methods: Patients with newly diagnosed organ-confined lung cancer were enrolled. sNTx values were determined once each month using the OSTEOMARKTM serum NTx assay (Alere Medical). The presence or absence of bone metastasis was determined by monthly physical examination and by bone scintigraphy every 3 months for 12 months. All patients were required to provide written informed consent. Results: Forty patients were enrolled between June and December 2010. One patient withdrew early and was excluded from analysis. The mean +/- 1 SD baseline level of sNTx was 17.5 +/- 4.4 nM BCE/L. Five patients developed bone metastasis (as characterized by bone scintigraphy) during the study period. The level of sNTx in subjects with bone metastasis was slightly increased (21.6 +/- 3.2 nM BCE/L), however, in these patients, there was no statistically significant difference between sNTx values at baseline (18.2 +/- 4.2 nM BCE/L) and when metastasis was diagnosed. (p=0.176). When a cut-off value of sNTx was set to 22.0 nM BCE/L, the sensitivity and the specificity of detection of bone metastasis were 80.0% and 41.2%, respectively. Using this cut-off, the elevation of sNTx could predict bone metastasis at least one month before diagnosis by bone scintigraphy in all 5 patients, however, the specificity was relatively low for clinical implementation. Additionally, the sensitivity and the specificity of early detection of systematic spread of disease (including bone metastasis) were 70.6% and 45.5%, respectively. Conclusions: Periodic determination of sNTx in patients with organ confined lung cancer did not provide sufficient specificity for it to be used for the early diagnosis of bone metastasis or disease progression.


2016 ◽  
Author(s):  
Daniel Ajona ◽  
Carolina Zandueta ◽  
Leticia Corrales ◽  
Maria J. Pajares ◽  
Elena Martinez-Terroba ◽  
...  
Keyword(s):  

2019 ◽  
Vol 17 ◽  
pp. 100251 ◽  
Author(s):  
Ben Wang ◽  
Lijie Chen ◽  
Chongan Huang ◽  
Jialiang Lin ◽  
Xiangxiang Pan ◽  
...  

2021 ◽  
Vol 12 (7) ◽  
Author(s):  
Jianjiao Ni ◽  
Xiaofei Zhang ◽  
Juan Li ◽  
Zhiqin Zheng ◽  
Junhua Zhang ◽  
...  

AbstractBone is a frequent metastatic site of non-small cell lung cancer (NSCLC), and bone metastasis (BoM) presents significant challenges for patient survival and quality of life. Osteolytic BoM is characterised by aberrant differentiation and malfunction of osteoclasts through modulation of the TGF-β/pTHrP/RANKL signalling pathway, but its upstream regulatory mechanism is unclear. In this study, we found that lncRNA-SOX2OT was highly accumulated in exosomes derived from the peripheral blood of NSCLC patients with BoM and that patients with higher expression of exosomal lncRNA-SOX2OT had significantly shorter overall survival. Additionally, exosomal lncRNA-SOX2OT derived from NSCLC cells promoted cell invasion and migration in vitro, as well as BoM in vivo. Mechanistically, we discovered that NSCLC cell-derived exosomal lncRNA-SOX2OT modulated osteoclast differentiation and stimulated BoM by targeting the miRNA-194-5p/RAC1 signalling axis and TGF-β/pTHrP/RANKL signalling pathway in osteoclasts. In conclusion, exosomal lncRNA-SOX2OT plays a crucial role in promoting BoM and may serve as a promising prognostic biomarker and treatment target in metastatic NSCLC.


2021 ◽  
Vol 27 ◽  
pp. 100311
Author(s):  
Shuang Yang ◽  
Jun Xia ◽  
Zeren Yang ◽  
Mingming Xu ◽  
Shuwei Li

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