Evidence map›Paper›PMID 38193930›Full record

ArticleClinical & experimental metastasis2024

Glycosylation profiles of breast cancer cells may represent clonal variations of multiple organ metastases.

Yoshiya Horimoto, May Thinzar Hlaing, Harumi Saeki, Kaori Denda-Nagai, Katrin Ishii-Schrade, Haruhiko Fujihira, Masaaki Abe, Miki Noji, Shigeyuki Shichino, Mitsue Saito and 1 more

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Clinical & experimental metastasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Yoshiya HorimotoDepartment of Breast Oncology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
May Thinzar HlaingDepartment of Breast Oncology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Harumi SaekiDepartment of Human Pathology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kaori Denda-NagaiDivision of Glycobiologics, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Katrin Ishii-SchradeDivision of Glycobiologics, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Haruhiko FujihiraDivision of Glycobiologics, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Masaaki AbeDepartment of Pathology and Oncology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Miki NojiDivision of Glycobiologics, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Shigeyuki ShichinoDivision of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute for Biomedical Sciences, Tokyo University of Science, Tokyo, Japan.
Mitsue SaitoDepartment of Breast Oncology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Tatsuro IrimuraDepartment of Breast Oncology, Juntendo University Graduate School of Medicine, Tokyo, Japan. t-irimura@juntendo.ac.jp.
Juntendo University · JPPioneer (United States) · USTokyo University of Science · JP

Funding

Japan Agency for Medical Research and Development JP19ae0101026
6 · The paper itself

Abstract

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.

Indexed as

Breast NeoplasmsFemaleGlycosylationHumansLectinsLung NeoplasmsNeoplasm MetastasisLectinsBreast cancerClonal variationGlycosylationLectin microarrayMultiorgan metastasis

Identifiers

PMID38193930
OpenAlexW4390776244

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.