Back

Decoding the Tumor-Suppressive Landscape of SCARA5: A Network-Based Analysis Linking Lipid Metabolism and Immune Regulation in Breast Cancer

Jawwad, T.; Mirza, S.; Baba, S. K.; Kumar, H.; Mazumder, M.

2025-09-07 bioinformatics
10.1101/2025.09.02.672764 bioRxiv
Show abstract

BackgroundThe tumor microenvironment (TME) significantly impacts breast cancer progression, with stromal and immune components influencing tumor behavior. The scavenger receptor SCARA5 is recognized as a tumor suppressor in various cancers, but its role in breast cancer remains uncertain. MethodsWe performed integrative transcriptomic analyses of bulk RNA-seq data from TCGA-BRCA, validated with GTEx, to investigate SCARA5 expression and its clinical significance. Differential expression, PAM50 subtype classification, PCA/t-SNE clustering, and ROC analyses were used to assess diagnostic potential. Functional enrichment (GO, KEGG, Reactome), PPI networks, and co-expression analyses explored pathways related to SCARA5. Single-cell transcriptomic datasets (TISCH2, Broad Portal) and spatial profiling (Human Protein Atlas) were employed to examine cellular and spatial localization. The prognostic importance was assessed using GEPIA2 survival analysis. ResultsSCARA5 was significantly downregulated in breast tumors, especially in Her2-enriched and Luminal B subtypes, with ROC curves confirming its diagnostic importance. Enrichment and PPI analyses linked SCARA5 to lipid metabolism, immune regulation, and scavenger receptor pathways. Co-expression studies showed associations with lipid metabolism genes (FABP4, ADIPOQ, CD36) and immune-related genes (CLEC3B, LYVE1). Single-cell data indicated SCARA5 expression was limited to fibroblasts, endothelial cells, and immune subsets, with rare expression in malignant epithelial cells. Spatial analysis confirmed stromal enrichment, mainly in areas rich in fibroblasts and endothelial cells. Survival analysis demonstrated worse outcomes in patients with HER2+ and Luminal B breast cancers who had low SCARA5 expression. ConclusionSCARA5 is a stromal-enriched gene with potential tumor-suppressive and immunometabolic regulatory roles in breast cancer. Its diagnostic and prognostic significance, especially in aggressive subtypes, highlights its potential as a biomarker and therapeutic target within the tumor stroma.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
JNCI Cancer Spectrum
10 papers in training set
Top 0.1%
29.0%
2
Breast Cancer Research
32 papers in training set
Top 0.1%
7.1%
3
Scientific Reports
3102 papers in training set
Top 26%
4.5%
4
Cancers
200 papers in training set
Top 1%
4.4%
5
npj Breast Cancer
18 papers in training set
Top 0.1%
4.1%
6
International Journal of Cancer
42 papers in training set
Top 0.2%
3.8%
50% of probability mass above
7
Cancer Research
116 papers in training set
Top 0.7%
3.8%
8
PLOS ONE
4510 papers in training set
Top 43%
2.9%
9
Frontiers in Immunology
586 papers in training set
Top 3%
2.7%
10
Nature Communications
4913 papers in training set
Top 46%
2.2%
11
Cell Communication and Signaling
35 papers in training set
Top 0.4%
1.8%
12
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 0.6%
1.8%
13
Cancer Research Communications
46 papers in training set
Top 0.4%
1.7%
14
Immunology
29 papers in training set
Top 0.5%
1.6%
15
Genome Medicine
154 papers in training set
Top 5%
1.4%
16
Oncogene
76 papers in training set
Top 1%
1.3%
17
BMC Cancer
52 papers in training set
Top 2%
1.2%
18
Bioinformatics
1061 papers in training set
Top 8%
1.0%
19
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
0.9%
20
PeerJ
261 papers in training set
Top 12%
0.9%
21
Computational and Structural Biotechnology Journal
216 papers in training set
Top 8%
0.8%
22
Frontiers in Genetics
197 papers in training set
Top 8%
0.8%
23
Communications Biology
886 papers in training set
Top 20%
0.8%
24
PLOS Computational Biology
1633 papers in training set
Top 23%
0.8%
25
Annals of Oncology
13 papers in training set
Top 0.9%
0.8%
26
The Journal of Pathology
22 papers in training set
Top 0.5%
0.8%
27
Clinical Cancer Research
58 papers in training set
Top 2%
0.7%
28
Molecular Oncology
50 papers in training set
Top 1%
0.7%
29
OncoImmunology
22 papers in training set
Top 0.5%
0.5%
30
International Journal of Molecular Sciences
453 papers in training set
Top 19%
0.5%