Glutamate Transport Proteins and Metabolic Enzymes are Poor Prognostic Factors in Invasive Lobular Carcinoma DOI Creative Commons
Todd Young, Shaymaa Bahnassy,

Theresa C. Abalum

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 29, 2024

Invasive Lobular Carcinoma (ILC) is a subtype of breast cancer characterized by distinct biological features, and limited glucose uptake coupled with increased reliance on amino acid lipid metabolism. Our prior studies highlight the importance glutamate as key regulator ILC tumor growth therapeutic response. Here we examine expression four proteins involved in transport metabolism - SLC3A2, SLC7A11, GPX4, GLUD1/2 racially diverse cohort 72 estrogen receptor-positive (ER+) 50 ER+ invasive ductal carcinoma, no special type (IDC/NST) patients primary disease. All are associated size ILC, but not IDC/NST, SLC3A2 also specifically linked to shorter overall survival presence comorbidities ILC. Notably, ER most strongly stage Black women from our TCGA. We further explore effects GLUD1 inhibition endocrine therapy-resistant cells using small-molecule inhibitor R162, which reduces protein levels, increases reactive oxygen species, inhibits oxidative phosphorylation. These findings potentially important role for particularly women, position several these glutamate-handling potential targets intervention

Language: Английский

Prognostic features and predictive model for mixed invasive ductal and lobular breast carcinoma in early-stage patients DOI

Yongxin Li,

Yinyin Ye, Xuewei Tao

et al.

Clinical Breast Cancer, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorithm DOI
Qingfeng Li, W. Li, J Wang

et al.

Cancer Biomarkers, Journal Year: 2025, Volume and Issue: 42(5)

Published: May 1, 2025

Background Non-invasive methods with universal prognostic guidance for detecting breast cancer (BC) survival biomarkers need to be further explored. Objective This study aimed investigate C-C motif chemokine receptor type 5 (CCR5) prognosis value in BC and develop a radiomics model noninvasive prediction of CCR5 expression BC. Methods A total 840 cases genomic information were included divided into high- low-expression groups clinical characteristic differences exploration. Bioinformatics analysis including Kaplan-Meier (KM) analysis, Cox regression, immunoinfiltration tumor mutation load (TMB) performed. For development, 98 dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) scans used. Radiomics features extracted using Pyradiomics filtered by maximum-relevance minimum-redundancy (mRMR) recursive feature elimination (REF) algorithms. Support vector machine (SVM) logistic regression (LR) models developed predict expression, the score (Rad_score) representing predicted probability expression. The models’ performance was compared Delong test, superior area under curve (AUC) values selected analyze correlation between Rad_score, immune genes. Results high-expression group exhibited better overall (OS) (p < 0.01). Six development. AUCs SVM predicting 0.753 0.748 training validation sets, respectively, while LR 0.763 0.762. Calibration curves decision (DCA) validated calibration utility. SVM_Rad_score showed strong association immune-related Conclusions DCE-MRI presents novel, non-invasive tool provides valuable insights inform decision-making.

Language: Английский

Citations

0
Spatial transcriptomics: a new frontier in accurate localization of breast cancer diagnosis and treatment DOI Creative Commons
Yang Zhang,

Shuhua Gong,

Xiaofei Liu

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 8, 2024

Breast cancer is one of the most prevalent cancers in women globally. Its treatment and prognosis are significantly influenced by tumor microenvironment heterogeneity. Precision therapy enhances efficacy, reduces unwanted side effects, maximizes patients’ survival duration while improving their quality life. Spatial transcriptomics significant importance for precise breast cancer, playing a critical role revealing internal structural differences tumors composition microenvironment. It offers novel perspective studying spatial structure cell interactions within tumors, facilitating more effective personalized treatments cancer. This article will summarize latest findings diagnosis from transcriptomics, focusing on revelation microenvironment, identification new therapeutic targets, enhancement disease diagnostic accuracy, comprehension progression metastasis, assessment drug responses, creation high-resolution maps cells, representation heterogeneity, support clinical decision-making, particularly elucidating immunotherapy correlation with outcomes.

Language: Английский

Citations

1
Glutamate Transport Proteins and Metabolic Enzymes are Poor Prognostic Factors in Invasive Lobular Carcinoma DOI Creative Commons
Todd Young, Shaymaa Bahnassy,

Theresa C. Abalum

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 29, 2024

Invasive Lobular Carcinoma (ILC) is a subtype of breast cancer characterized by distinct biological features, and limited glucose uptake coupled with increased reliance on amino acid lipid metabolism. Our prior studies highlight the importance glutamate as key regulator ILC tumor growth therapeutic response. Here we examine expression four proteins involved in transport metabolism - SLC3A2, SLC7A11, GPX4, GLUD1/2 racially diverse cohort 72 estrogen receptor-positive (ER+) 50 ER+ invasive ductal carcinoma, no special type (IDC/NST) patients primary disease. All are associated size ILC, but not IDC/NST, SLC3A2 also specifically linked to shorter overall survival presence comorbidities ILC. Notably, ER most strongly stage Black women from our TCGA. We further explore effects GLUD1 inhibition endocrine therapy-resistant cells using small-molecule inhibitor R162, which reduces protein levels, increases reactive oxygen species, inhibits oxidative phosphorylation. These findings potentially important role for particularly women, position several these glutamate-handling potential targets intervention

Language: Английский

Citations

0