Bone Metastases Pattern in Newly Diagnosed Metastatic Nasopharyngeal Carcinoma: A Real-World Analysis in the SEER Database

Yang, Xiaojing; Ren, Hailong; Yu, Weiwei; Li, Hongling; Xiao, Yang; Fei, Jie

doi:10.1155/2020/2098325

Cited by 7 publications

(11 citation statements)

References 22 publications

(28 reference statements)

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“…A statistical analysis of multisite metastases showed that bone was the most common metastatic organ, which is consistent with findings from several other studies covering all age groups 22 – 26 . Because no previous epidemiological statistics for elderly people were found, we were unable to obtain the results of a large sample analysis to compare them with our results.…”

Section: Resultssupporting

confidence: 89%

A nonendemic analysis of the patterns and prognosis of de novo metastatic nasopharyngeal carcinomas in older patients aged ≥ 65 years

Liu

Zhang

Cao

et al. 2022

Sci Rep

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This study aimed to investigate the prognostic factors related to overall survival (OS) and cancer-specific survival (CSS) in patients with de novo metastatic nasopharyngeal carcinoma (NPC) aged ≥ 65 years in nonendemic areas. The Surveillance, Epidemiology, and End Results database was queried for elderly patients with M1 stage NPC at initial diagnosis between 2004 and 2016. This study examined 100 patients and evaluated the relationship of sex, age, race, pathological grade, T stage, N stage, sequence number, site of metastasis, number of metastatic organs, and other related factors with OS and CSS. The median survival and follow-up time were 10 and 48 months, respectively. The survival curves for race, bone metastasis, radiation, and chemotherapy significantly affected OS on the log-rank test. Advanced N stage and liver metastasis may be associated with poor survival. Race, bone metastasis, and chemotherapy were independent prognostic factors of OS. Bone metastasis was associated with poor survival. The survival curves for CSS were significantly different between races, N stage, sequence number, and bone metastasis. In Cox regression multivariate analysis, only sequence number had an independent effect on prognosis. This study revealed that chemotherapy prolonged survival in elderly patients with metastatic NPC, whereas bone metastasis shortened survival.

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Section: Resultssupporting

confidence: 89%

A nonendemic analysis of the patterns and prognosis of de novo metastatic nasopharyngeal carcinomas in older patients aged ≥ 65 years

Liu

Zhang

Cao

et al. 2022

Sci Rep

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“… 30 Studies have also shown strong associations between sex and race and bone metastasis in patients with nasopharyngeal carcinoma. 31 Other studies have shown that race does not predict bone metastasis in men with non-metastatic castrated prostate cancer. 32 Additional studies have shown that women have a lower risk of bone metastasis and good prognosis in non-sex-specific cancers.…”

Section: Discussionmentioning

confidence: 97%

Differentiation of Bone Metastasis in Elderly Patients With Lung Adenocarcinoma Using Multiple Machine Learning Algorithms

et al. 2023

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Objective We tested the performance of general machine learning and joint machine learning algorithms in the classification of bone metastasis, in patients with lung adenocarcinoma. Methods We used R version 3.5.3 for statistical analysis of the general information, and Python to construct machine learning models. Results We first used the average classifiers of the 4 machine learning algorithms to rank the features and the results showed that race, sex, whether they had surgery and marriage were the first 4 factors affecting bone metastasis. Machine learning results in the training group: for area under the curve (AUC), except for RF and LR, the AUC values of all machine learning classifiers were greater than .8, but the joint algorithm did not improve the AUC for any single machine learning algorithm. Among the results related to accuracy and precision, the accuracy of other machine learning classifiers except the RF algorithm was higher than 70%, and only the precision of the LGBM algorithm was higher than 70%. Machine learning results in the test group: Similarly, for areas under the curve (AUC), except RF and LR, the AUC values for all machine learning classifiers were greater than .8, but the joint algorithm did not improve the AUC value for any single machine learning algorithm. For accuracy, except for the RF algorithm, the accuracy of other machine learning classifiers was higher than 70%. The highest precision for the LGBM algorithm was .675. Conclusion The results of this concept verification study show that machine learning algorithm classifiers can distinguish the bone metastasis of patients with lung cancer. This will provide a new research idea for the future use of non-invasive technology to identify bone metastasis in lungcancer. However, more prospective multicenter cohort studies are needed.

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“…Some preclinical studies have demonstrated the anti‐metastatic effects of TFP. The bones are the most common metastatic sites of NPC, and bone metastasis can impair the survival and quality of life of patients 38 . One study showed that TFP is a potential drug for treating bone metastasis of breast cancer by antagonizing dopamine receptor D2 39 .…”

Section: Discussionmentioning

confidence: 99%

“…The bones are the most common metastatic sites of NPC, and bone metastasis can impair the survival and quality of life of patients. 38 One study showed that TFP is a potential drug for treating bone metastasis of breast cancer by antagonizing dopamine receptor D2. 39 In our results, we also showed that NPC-BM cells were suppressed by TFP.…”

Section: Discussionmentioning

confidence: 99%

Antipsychotic drug trifluoperazine as a potential therapeutic agent against nasopharyngeal carcinoma

Yeh

Lee

et al. 2022

Head & Neck

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Background Trifluoperazine (TFP) is a typical antipsychotic primarily used to treat schizophrenia. In this study, we aimed to evaluate whether TFP can be used as a therapeutic agent against nasopharyngeal carcinoma (NPC) and identify its underlying molecular mechanisms. Methods We used NPC‐TW01, TW03, TW04, and BM to assess the anticancer effects of TFP by using cytotoxicity, wound healing, colony formation, and cell invasion assays. An in vivo animal study was conducted. RNA sequencing combined with Ingenuity Pathways Analysis was performed to identify the mechanism by which TFP influences NPC cells. Results Our data revealed that TFP decreased NPC cell viability in a dose‐dependent manner. The invasion and migration of NPC tumor cells were inhibited by TFP. An in vivo study also demonstrated the anticancer effects of TFP. RNA sequencing revealed several anticancer molecular mechanisms following TFP administration. Conclusions The antipsychotic drug TFP could be a potential therapeutic regimen for NPC treatment.

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Bone Metastases Pattern in Newly Diagnosed Metastatic Nasopharyngeal Carcinoma: A Real-World Analysis in the SEER Database

Cited by 7 publications

References 22 publications

A nonendemic analysis of the patterns and prognosis of de novo metastatic nasopharyngeal carcinomas in older patients aged ≥ 65 years

A nonendemic analysis of the patterns and prognosis of de novo metastatic nasopharyngeal carcinomas in older patients aged ≥ 65 years

Differentiation of Bone Metastasis in Elderly Patients With Lung Adenocarcinoma Using Multiple Machine Learning Algorithms

Antipsychotic drug trifluoperazine as a potential therapeutic agent against nasopharyngeal carcinoma

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