Cancer risk in patients with osteoporosis: a population-based cohort study

Sun, Li; Liang, Ji An; Lin, Cheng Li; Lin, Ming-Tzer; Chang, Nai-Jen; Kao, Chia Hung

doi:10.1080/03007995.2017.1278681

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…Numerous studies have investigated the link between osteoporosis and various types of cancer, particularly breast cancer, where patients with breast cancer, lung cancer, genitourinary cancer, and skin cancer have a higher prevalence of low bone mineral density (BMD) and osteoporosis [ 17 , 70 ]. Cohort studies with large populations were consistent with the above results [ 29 , 30 ]. Therefore, we aimed to further investigate the role of ROCK1, the hub gene identified in PMOP, in the context of pan-cancer, with the potential to facilitate early detection and precise therapeutic intervention for various types of cancer.…”

Section: Discussionsupporting

confidence: 83%

“…Several studies have found the important role of ROCK1 in cancers [25][26][27][28]. Since PMOP patients had a higher risk to get some types of cancer, we were greatly interested in whether the low expression of ROCK1 made great importance to increasing the cancer risk, accelerating the cancer progression, or worsening the cancer prognosis [29,30].…”

Section: Pan-cancer Rock1 Expressionmentioning

confidence: 99%

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Identification of ROCK1 as a novel biomarker for postmenopausal osteoporosis and pan-cancer analysis

Lai,

Jiang,

Gao

et al. 2023

Aging

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Background: Postmenopausal osteoporosis (PMOP) is a prevalent bone disorder with significant global impact. The elevated risk of osteoporotic fracture in elderly women poses a substantial burden on individuals and society. Unfortunately, the current lack of dependable diagnostic markers and precise therapeutic targets for PMOP remains a major challenge. Methods: PMOP-related datasets GSE7429, GSE56814, GSE56815, and GSE147287, were downloaded from the GEO database. The DEGs were identified by “limma” packages. WGCNA and Machine Learning were used to choose key module genes highly related to PMOP. GSEA, DO, GO, and KEGG enrichment analysis was performed on all DEGs and the selected key hub genes. The PPI network was constructed through the GeneMANIA database. ROC curves and AUC values validated the diagnostic values of the hub genes in both training and validation datasets. xCell immune infiltration and single-cell analysis identified the hub genes’ function on immune reaction in PMOP. Pan-cancer analysis revealed the role of the hub genes in cancers. Results: A total of 1278 DEGs were identified between PMOP patients and the healthy controls. The purple module and cyan module were selected as the key modules and 112 common genes were selected after combining the DEGs and module genes. Five Machine Learning algorithms screened three hub genes (KCNJ2, HIPK1, and ROCK1), and a PPI network was constructed for the hub genes. ROC curves validate the diagnostic values of ROCK1 in both the training (AUC = 0.73) and validation datasets of PMOP (AUC = 0.81). GSEA was performed for the low-ROCK1 patients, and the top enriched field included protein binding and immune reaction. DCs and NKT cells were highly expressed in PMOP. Pan-cancer analysis showed a correlation between low ROCK1 expression and SKCM as well as renal tumors (KIRP, KICH, and KIRC). Conclusions: ROCK1 was significantly associated with the pathogenesis and immune infiltration of PMOP, and influenced cancer development, progression, and prognosis, which provided a potential therapy target for PMOP and tumors. However, further laboratory and clinical evidence is required before the clinical application of ROCK1 as a therapeutic target.

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Section: Discussionsupporting

confidence: 83%

Section: Pan-cancer Rock1 Expressionmentioning

confidence: 99%

Identification of ROCK1 as a novel biomarker for postmenopausal osteoporosis and pan-cancer analysis

Lai,

Jiang,

Gao

et al. 2023

Aging

View full text Add to dashboard Cite

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“…There are a few reports on thyroid cancer and osteoporosis. The popula tionbased cohort study in Taiwan showed that osteoporosis was sig nificantly higher risk factor for the development of thyroid cancer [15]. The authors discussed why osteoporosis is associated with the development of thyroid cancer and described the involvement of potential selection bias.…”

Section: Discussionmentioning

confidence: 99%

Association Between Papillary Thyroid Carcinoma and Vertebral Fracture

et al. 2023

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Suppression of TSH levels associated with levothyroxine treatment is a known risk factor for fracture. However, it is unclear whether patients with papillary thyroid carcinoma (PTC) have a higher risk of vertebral fracture (VF) before TSH suppression. The aim of the study was to examine whether the risk of VF is higher in PTC than in healthy subjects. A hospital-based, matched case-control study was conducted comparing PTC and healthy individuals. We enrolled 43 postoperative patients with PTC scheduled for radioiodine therapy and 43 age- and sex-matched healthy controls. Serum and urinary biological parameters, bone mineral density (BMD), and presence of VFs were evaluated in both groups. We compared these indices using χ2 and Mann–Whitney U-test and analyzed the association between PTC and VF by logistic regression analysis. The PTC group had higher BMI, HbA1c and phosphorus, and lower intact PTH than the control group. Lumbar and femoral neck BMD did not differ between the two groups. Prevalence of VFs was significantly higher in the PTC group (44.1%) than in the control group (16.3%). Multivariate logistic regression analyses adjusted for age, sex, and BMI identified PTC as being associated with the presence of VFs (odds ratio, 5.63; 95% confidence interval: 1.82 to 17.5). This relationship remained significant after additional adjustment for HbA1c and BMD. There is an association between PTC and a risk of VF independent of sex, BMI, glucose metabolism, and BMD, suggesting the importance of fracture risk assessment before TSH suppression.

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