BACKGROUND: CSLEX is a type II carbohydrate antigen that interacts with the CSLEX-1 monoclonal antibody. CSLEX in combination with carbohydrate antigen 15-3 may be more useful than Carcinoembryonic Antigen with carbohydrate antigen 15-3 as tumor markers for monitoring of breast cancer. METHODS: The serum levels of tumor markers, including CSLEX, were measured in 480 consecutive breast cancer patients with or without metastasis who visited the outpatient clinic of the Division of Breast and Endocrine Surgery, Shinshu University Hospital, between April 2007 and September 2007. RESULTS: Serum levels of each of the tumor markers correlated significantly with the status of metastasis (P < 0.01). Combinations of Carcinoembryonic Antigen and carbohydrate antigen 15-3, Carcinoembryonic Antigen and Nation Cancer Center-Stomach-439, Carcinoembryonic Antigen and CSLEX, carbohydrate antigen 15-3 and Nation Cancer Center-Stomach-439, and carbohydrate antigen 15-3 and CSLEX levels also correlated significantly with the status of metastasis (P < 0.01). The sensitivity, specificity, positive predictive value, negative predictive value and accuracy were almost the same for CSLEX and Nation Cancer Center-Stomach-439, which are both type II carbohydrate antigens. The cutoff indexes of serum CSLEX and Nation Cancer Center-Stomach-439 for detection of breast cancer metastasis were 38.8 ± 52.7-fold and 22.1 ± 27.8-fold, respectively (P = 0.16). CONCLUSIONS: These data suggest that the diagnostic values of CSLEX and Nation Cancer Center-Stomach-439 are similar in single or combined use. However, the cutoff index of serum CSLEX tended to be higher than that of Nation Cancer Center-Stomach-439, which may make CSLEX more useful for detection of breast cancer metastasis.
BACKGROUND: CSLEX is a type II carbohydrate antigen that interacts with the CSLEX-1 monoclonal antibody. CSLEX in combination with carbohydrate antigen 15-3 may be more useful than Carcinoembryonic Antigen with carbohydrate antigen 15-3 as tumor markers for monitoring of breast cancer. METHODS: The serum levels of tumor markers, including CSLEX, were measured in 480 consecutive breast cancerpatients with or without metastasis who visited the outpatient clinic of the Division of Breast and Endocrine Surgery, Shinshu University Hospital, between April 2007 and September 2007. RESULTS: Serum levels of each of the tumor markers correlated significantly with the status of metastasis (P < 0.01). Combinations of Carcinoembryonic Antigen and carbohydrate antigen 15-3, Carcinoembryonic Antigen and Nation Cancer Center-Stomach-439, Carcinoembryonic Antigen and CSLEX, carbohydrate antigen 15-3 and Nation Cancer Center-Stomach-439, and carbohydrate antigen 15-3 and CSLEX levels also correlated significantly with the status of metastasis (P < 0.01). The sensitivity, specificity, positive predictive value, negative predictive value and accuracy were almost the same for CSLEX and Nation Cancer Center-Stomach-439, which are both type II carbohydrate antigens. The cutoff indexes of serum CSLEX and Nation Cancer Center-Stomach-439 for detection of breast cancer metastasis were 38.8 ± 52.7-fold and 22.1 ± 27.8-fold, respectively (P = 0.16). CONCLUSIONS: These data suggest that the diagnostic values of CSLEX and Nation Cancer Center-Stomach-439 are similar in single or combined use. However, the cutoff index of serum CSLEX tended to be higher than that of Nation Cancer Center-Stomach-439, which may make CSLEX more useful for detection of breast cancer metastasis.
Authors: Evan N Cohen; Tamer M Fouad; Bang-Ning Lee; Banu K Arun; Diane Liu; Sanda Tin; Angelica M Gutierrez Barrera; Toshihide Miura; Iwao Kiyokawa; Jun Yamashita; Ricardo H Alvarez; Vicente Valero; Wendy A Woodward; Yu Shen; Naoto T Ueno; Massimo Cristofanilli; James M Reuben Journal: Breast Cancer Res Treat Date: 2019-05-03 Impact factor: 4.872
Authors: Michael C Carlsson; Cecilia Cederfur; Viveka Schaar; Crina I A Balog; Adriana Lepur; Franck Touret; Emma Salomonsson; André M Deelder; Mårten Fernö; Håkan Olsson; Manfred Wuhrer; Hakon Leffler Journal: PLoS One Date: 2011-10-18 Impact factor: 3.240
Authors: Mario Mietzsch; Robert McKenna; Elina Väisänen; Jennifer C Yu; Maria Ilyas; Joshua A Hull; Justin Kurian; J Kennon Smith; Paul Chipman; Yi Lasanajak; David Smith; Maria Söderlund-Venermo; Mavis Agbandje-McKenna Journal: Viruses Date: 2020-06-17 Impact factor: 5.048