Year: 2016
Type: article
Study design: Observational Study
Abstract: // Xing-Fei Yu 1, 2, * , Hong-Jian Yang 2, * , Lei Lei 3 , Chen Wang 2 , Jian Huang 1 1 Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, P.R.China 2 Department of Breast Tumor Surgery, Zhejiang Cancer Hospital, Banshan Bridge, Hangzhou, Zhejiang Province, 310022, P.R.China 3 Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Banshan Bridge, Hangzhou, Zhejiang Province, 310022, P.R.China * These authors contributed equally to this work Correspondence to: Jian Huang, e-mail: [email protected] Keywords: breast cancer, CK19, non-sentinel lymph node, metastasis, biomarker Received: November 06, 2015 Accepted: March 31, 2016 Published: April 20, 2016 ABSTRACT Reverse-transcription polymerase chain reaction (RT-PCR) is used to detect CK19 mRNA in sentinel lymph node biopsy (SLNB) tissues from breast cancer patients. We examined whether CK19 mRNA in peripheral blood is predictive of non-sentinel lymph node (nSLN) metastasis. Breast cancer cases diagnosed with clinical stage cT1–3cN0 and registered in our medical biobank were identified retrospectively. This study then included 120 breast cancer cases treated at Zhejiang Cancer Hospital from Aug 2014 to Aug 2015, including 60 SLN-positive and 60 SLN-negative cases. CK19 mRNA levels in peripheral blood samples were assessed using RT-PCR prior to tumor removal. During surgery, if SLNB tissue showed evidence of metastasis, axillary lymph node dissection (ALND) was performed. No ALND was performed if SLNB and nSLN tissues were both negative for metastasis. CK19 expression was higher in nSLN-positive patients than in nSLN-negative patients ( p < 0.05). Logistic regression indicated that lymphatic vessel invasion and CK19 levels were predictive of nSLN status ( p < 0.05). The area under the ROC curve for CK19 was 0.878 ( p < 0.05). We conclude that high CK19 levels in peripheral blood may independently predict nSLN metastasis in breast cancer patients.
Source: Oncotarget
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W2336386379