Evidence map›Paper›PMID 40411577›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2025

Glycosylated protein-related microenvironmental features in breast cancer are associated with patient prognosis.

Xiaoxiao Zhong, Jiaxuan Han, Huan Li, Xiangyu Shen, Bowen Yu, Ting Chen, Haobing Li, Jun Li, Jin Pang, Liyuan Qian and 3 more

Abstract read
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In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2025. 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
–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

1 citing paper in PubMed.

  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

13 authors.

Xiaoxiao Zhong *Department of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China. Zhongxxiao@csu.edu.cn.
Jiaxuan Han *Department of Ophthalmology, Second Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.
Huan Li *Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.
Xiangyu ShenDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.
Bowen YuDepartment of Gastrointestinal Surgery, Third XiangYa Hospital, Central South University, Changsha, 410000, Hunan, China.
Ting ChenDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.
Haobing LiDepartment of Medical Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421200, Hunan, China.
Jun LiDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.
Jin PangDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.
Liyuan QianDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.
Wei WuDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.
Xiaoliang TongDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, 410000, China. 601630@csu.edu.cn.
Boni DingDepartment of Breast and Thyroid Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China. dingboni@aliyun.com.

Funding

Beijing Science and Innovation Medical Development Foundation KC2021-JX-0044-14Natural Science Foundation of Hunan Province 2022JJ40748
6 · The paper itself

Abstract

The tumor microenvironment (TME) and aberrant glycosylation have been suggested to play key roles in cancer. This study integrated differentially expressed genes (DEGs) and weighted gene coexpression network analysis (WGCNA) to identify tumor microenvironment-related genes and construct a TME-risk prognostic signature (TMERS) through LASSO Cox regression. After batch effect removal, 44 TME-prognosis-related genes (TMEPGs) were identified and classified into three molecular subtypes via K-means clustering. The finalized 22-gene TMERS model demonstrated robust prognostic predictive capacity in GEO datasets. The results revealed distinct immune profiles and prognostic stratifications among genetic subtypes and risk groups, confirming that the TMERS is an independent prognostic indicator for breast cancer (BRCA). Glycosyltransferase genes (GTs) have potential therapeutic relevance through immune regulation, with TMEPG member killer cell lectin like receptor B1 (KLRB1) significantly correlated with BRCA prognosis. Cellular experiments demonstrated that KLRB1 overexpression suppressed BRCA cell proliferation and migration. This work establishes a novel prognostic model for BRCA while highlighting KLRB1 as a potential biomarker, providing new insights into TME-targeted therapeutic strategies.

Indexed as

Breast NeoplasmsTumor MicroenvironmentBiomarkers, TumorCell Line, TumorCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGlycosylationGlycosyltransferasesHumansPrognosisBiomarkers, TumorGlycosyltransferasesBreast cancerGlycosylationGlycosyltransferasesKLRB1Prognostic modeTumor microenvironment

Identifiers

PMID40411577

What OpenQuestion holds

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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.