Back

Breast cancer stem cells mediated CD8+ T cell exhaustion among different molecular subtypes of breast cancer regulated via NOTCH1/RBPJ/PD-L1 axis

Sultana, J.; Guha, A.; Chakravarti, M.; Ulgekar, G.; Bera, S.; Choudhury, P. R.; Dhar, S.; Das, J.; Ganguly, N.; Sarkar, A.; Saify, M.; Rana, M.; Das, P.; Saha, A.; Ganguli, N.; Alam, N.; Baral, R.; Bose, A.; Banerjee, S.

2026-05-26 cancer biology
10.64898/2026.05.22.727059 bioRxiv
Show abstract

BackgroundBreast cancer stem cells (BCSCs) contribute significantly to breast cancer (BC) mortality among women globally. It underpins tumor heterogeneity in BC by driving variations in stemness potential and altering immune microenvironment. However, how BCSCs, subpopulations of breast cancer cells from distinct molecular subtypes differentially modulate CD8 T-cell exhaustion and immune dysfunction remain unclear. MethodsWe conducted our study from patients with BC of four subtypes. MACS sorted (Lin-CD44+CD24-) BCSCs were prepared for mammosphere formation assay from mastectomies samples. Flow-cytometry was used to analyze breast cancer stem cells (BCSCs). Immunofluorescence, immunohistochemistry, Real Time and Reverse Transcriptase PCR array, Chromatin-immunoprecipitation assay, Transwell, ELISA, Western blotting, Cloning, Transfection, Knockdown, chromatin immunoprecipitation approaches were used to investigate the underlying mechanisms. ResultsHere, we report that BCSCs actively participate in tumor progression by modulating effector CD8 T-cells. Triple-negative breast cancer (TNBC), being the subtype with the most adverse outcomes, sustains the enrichment of stem cell regulating transcription factors like NANOG, OCT4 and SOX2 compared to HER2, Luminal B, and Luminal A subtypes. Tumor from TNBC patients exhibited an exhausted phenotype within CD8 T-cell infiltrates with PD1high TIM3high LAG3 high IFN{gamma}low signature. BCSCs induced increased proportion of exhausted CD8 T-cells, predominantly in the TNBC subtype. Cell-surface Notch1 expression was upregulated in BCSCs across all molecular BC subtypes, with the highest elevation observed in TNBC. Knockdown or inhibition of Notch1 downregulated stemness-associated genes and diminished CSC-mediated induction of CD8 T-cell exhaustion. Cumulatively, these findings suggest that assessment of high Notch1 and Nanog frequency within BCSCs can guide Notch1-targeted therapies and may formulate for new combinatorial treatment strategies to improve patient outcomes. Additionally, therapeutic targeting of BCSC-intrinsic NOTCH1-NANOG/NOTCH1-PD-L1 axis could represent an effective strategy to reduce stemness programs and alter BCSC-driven CD8 T-cell exhaustion, majorly in aggressive subtypes such as TNBC. ConclusionsBCSCs aggressiveness is perpetuated through Notch1-mediated axis. Targeting Notch1 would reduce stemness (majorly NANOG), survival, as well as prevent CD8 T-cell exhaustion (upregulating PD-1, TIM3, LAG3), thereby weakening tumor progression.

Matching journals

The top 15 journals account for 50% of the predicted probability mass.

1
Cancers
200 papers in training set
Top 0.4%
9.1%
2
PLOS ONE
4510 papers in training set
Top 28%
6.3%
3
Translational Oncology
18 papers in training set
Top 0.1%
4.3%
4
Breast Cancer Research
32 papers in training set
Top 0.2%
4.0%
5
Cancer Medicine
24 papers in training set
Top 0.3%
3.6%
6
Frontiers in Oncology
95 papers in training set
Top 1%
3.6%
7
Cancer Research Communications
46 papers in training set
Top 0.2%
3.1%
8
BMC Cancer
52 papers in training set
Top 0.7%
3.1%
9
Cell Death Discovery
51 papers in training set
Top 0.3%
2.6%
10
International Journal of Cancer
42 papers in training set
Top 0.4%
2.4%
11
Journal of Translational Medicine
46 papers in training set
Top 0.5%
2.1%
12
Scientific Reports
3102 papers in training set
Top 50%
2.1%
13
OncoImmunology
22 papers in training set
Top 0.1%
1.9%
14
Molecular Oncology
50 papers in training set
Top 0.3%
1.9%
15
Frontiers in Immunology
586 papers in training set
Top 4%
1.9%
50% of probability mass above
16
Annals of Oncology
13 papers in training set
Top 0.4%
1.8%
17
Frontiers in Genetics
197 papers in training set
Top 5%
1.7%
18
Cell Communication and Signaling
35 papers in training set
Top 0.5%
1.7%
19
Cell Death & Disease
126 papers in training set
Top 1%
1.7%
20
Cancer Letters
32 papers in training set
Top 0.4%
1.2%
21
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.1%
1.2%
22
Biomedicines
66 papers in training set
Top 2%
1.2%
23
Signal Transduction and Targeted Therapy
29 papers in training set
Top 1.0%
1.1%
24
PeerJ
261 papers in training set
Top 11%
0.9%
25
eLife
5422 papers in training set
Top 52%
0.9%
26
Communications Biology
886 papers in training set
Top 19%
0.9%
27
Stem Cells
28 papers in training set
Top 0.4%
0.9%
28
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 5%
0.8%
29
Clinical Epigenetics
53 papers in training set
Top 1.0%
0.8%
30
Molecular Cancer Research
42 papers in training set
Top 0.7%
0.8%