Skip to content
naulon
Not checkedNot checked for notices yet.

Retrospective study of predictors of bone metastasis in colorectal cancer patients

Zhenghong, Zihua zhu, Guoweijian and 4 more

Journal of Bone Oncology · 2017

doi:10.1016/j.jbo.2017.10.003 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Background: We explored risk factors for bone metastasis (BMs) in colorectal cancer (CRC) to improve in early diagnosis and follow-up and to reduce bone metastasis. Methods: With a retrospective analysis of 2066 patients with CRC treated in our institution from January 2006 to January 2015, we assessed high-risk variables associated with bone metastasis using univariate and multivariate analyses. Results: Of those subjects studied, 102 patients developed BMs, including 62 of 1014 the rectal cancer patients and 40 of the 1052 colon cancer patients. Lung metastases were accounting for 59.8% of the BMs (Ï2 = 17.7, p<0.01) and hepatic metastases were accounting for 34.3% of BMs (Ï2 = 3.06,p >0.05). BMs were diagnosed more rapidly in the presence of lung metastases(6.9 months versus 11.6 months for liver metastases). Univariate analysis revealed that BMs were associated with primary tumor location (p < 0.001), lung metastases (p < 0.001), initial stage (p = 0.001), radiotherapy (p < 0.001) and serum carcinoembryonic antigen (CEA) (p=0.001). Multivariate analysis revealed that primary tumor location (rectum), lung metastases, and serum CEA (>5 μg/L) were statistically significant (p <0.05). Conclusions: BMs in rectal cancer occur more frequently than in colon cancer. Lung metastases predicted potential progression to bone in CRCs more than liver metastases. Primary rectal locations, lung metastases and serum CEA were independent risk factors for BMs in CRC. Thus, patients should receive early bones scanning when presenting with CRC. Keywords: Colorectal cancer, Bone metastasis, Risk factors

Abstract licence: CC BY-NC

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.