Evidence map›Paper›PMID 40128267›Full record

ArticleScientific reports2025

Combination of urinary free-glycan markers for the diagnosis of various malignant tumors.

Miki Tanaka-Okamoto, Ken Hanzawa, Takashi Yamamoto, Tomoki Michida, Kenji Ikezawa, Kazuyoshi Ohkawa, Kazumi Nishino, Takafumi Yokota, Michihide Maeda, Ken-Ichi Yoshida and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

14 authors.

Miki Tanaka-OkamotoDepartment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Ken HanzawaGlycoanalytical Chemistry Lab, Institute for Glyco-Core Research (iGCORE), Gifu University, 1-1 Yanagido, Gifu, 501-1193, Japan.
Takashi YamamotoDepartment of Clinical Laboratory, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Tomoki MichidaDepartment of Gastrointestinal Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Kenji IkezawaDepartment of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Kazuyoshi OhkawaDepartment of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Kazumi NishinoDepartment of Thoracic Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Takafumi YokotaDepartment of Hematology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Michihide MaedaDepartment of Gynecology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Ken-Ichi YoshidaDepartment of Diagnostic Pathology and Cytology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Satoshi TakenakaDepartment of Orthopedic Surgery, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Masayuki OhueDepartment of Gastroenterological Surgery, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Tomoyuki YamasakiDepartment of Clinical Laboratory, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan.
Yasuhide MiyamotoDepartment of Clinical Laboratory, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-Ku, Osaka, 541-8567, Japan. yasuhide.miyamoto@oici.jp.

Funding

Grant-in-Aid for Scientific Research (C) from the Ministry of Education, Culture, Sports, Science and Technology of Japan 21K07409Grant-in-Aid for Scientific Research (C) from the Ministry of Education, Culture, Sports, Science and Technology of Japan 23K06880
6 · The paper itself

Abstract

Many urinary free-glycan markers were identified in our previous studies. Here, the clinical utility of these markers was examined. Urine samples taken from 120 healthy subjects and 503 patients with various malignant tumors were analyzed. Four lactose-core glycans containing N-glycolylglucosamine (GlcNGc) were synthesized and used as internal standards (ISs). Free-glycans were isolated using a two-step column purification procedure, pyridylaminated, and subjected to LC-selected reaction monitoring. Assay validation was performed using four ISs and eight reference glycans. Twelve markers composed of three sialyl lactose-core glycans, three sulfated glycans, four Gn1-core free-N-glycans, and two glycans with unusual structures were selected to investigate their effectiveness for cancer diagnosis. Markers were simultaneously measured and the relative area ratio (marker/IS) quantified. This method was shown to be accurate and precise by repeated analysis of calibrators and quality control samples in urine. Receiver operating characteristic curve analyses revealed that individual markers were not sufficient for highly accurate diagnosis. However, a combination of four markers resulted in higher area under curves of 0.910, 0.867, and 0.914 for gastric, colorectal, and pancreatic cancers, respectively. Moreover, levels of these markers were elevated in various other malignancies. These analyses demonstrated high clinical utility of the free-glycan markers.

Indexed as

Biomarkers, TumorNeoplasmsPolysaccharidesAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedROC CurveBiomarkers, TumorPolysaccharidesCancerFree-glycanMarkerSRMUrine

Identifiers

PMID40128267
PMCPMC11933251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.