TY - JOUR
T1 - Glycosylation profiles of breast cancer cells may represent clonal variations of multiple organ metastases
AU - Horimoto, Yoshiya
AU - Hlaing, May Thinzar
AU - Saeki, Harumi
AU - Denda-Nagai, Kaori
AU - Ishii-Schrade, Katrin
AU - Fujihira, Haruhiko
AU - Abe, Masaaki
AU - Noji, Miki
AU - Shichino, Shigeyuki
AU - Saito, Mitsue
AU - Irimura, Tatsuro
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature B.V. 2023.
PY - 2024/6
Y1 - 2024/6
N2 - Glycosylation changes of cancer cells are known to be associated with malignant progression and metastases and potentially determine the organ-selective nature of metastasis as theorized by Paget (Lancet 1:571–573, 1889). Cellular glycans play a variety of roles in the processes of metastasis and may be unique to the cells that metastasize to different organs. We analyzed the glycosylation profiles of the primary tumor and tumors metastasized to lymph node, liver, lung, brain, bone, thyroid, kidney, adrenal, small intestine and pancreas in an autopsy case of breast cancer employing a lectin microarray with 45 lectins. Clustering analysis of the data revealed that metastatic breast cancer cells were categorized into several clusters according to their glycosylation profiles. Our results provide a biological basis to understand differential phenotypes of metastatic breast cancer cells potentially reflecting clonal origin, which does not directly reflect genomic or genetic changes or microenvironmental effects but connects to glycosylation profiles.
AB - Glycosylation changes of cancer cells are known to be associated with malignant progression and metastases and potentially determine the organ-selective nature of metastasis as theorized by Paget (Lancet 1:571–573, 1889). Cellular glycans play a variety of roles in the processes of metastasis and may be unique to the cells that metastasize to different organs. We analyzed the glycosylation profiles of the primary tumor and tumors metastasized to lymph node, liver, lung, brain, bone, thyroid, kidney, adrenal, small intestine and pancreas in an autopsy case of breast cancer employing a lectin microarray with 45 lectins. Clustering analysis of the data revealed that metastatic breast cancer cells were categorized into several clusters according to their glycosylation profiles. Our results provide a biological basis to understand differential phenotypes of metastatic breast cancer cells potentially reflecting clonal origin, which does not directly reflect genomic or genetic changes or microenvironmental effects but connects to glycosylation profiles.
KW - Breast cancer
KW - Clonal variation
KW - Glycosylation
KW - Lectin microarray
KW - Multiorgan metastasis
UR - http://www.scopus.com/inward/record.url?scp=85181747718&partnerID=8YFLogxK
U2 - 10.1007/s10585-023-10253-3
DO - 10.1007/s10585-023-10253-3
M3 - Letter
C2 - 38193930
AN - SCOPUS:85181747718
SN - 0262-0898
VL - 41
SP - 267
EP - 270
JO - Clinical and Experimental Metastasis
JF - Clinical and Experimental Metastasis
IS - 3
ER -