# Single‐Cell RNA Sequencing and Bulk RNA Sequencing Revealed the Interplay Between Intratumoral Heterogeneity and the Tumor Microenvironment in Breast Cancer

**Authors:** Yunlong Zhao, Xiaoyu Zhang, Yingying Wang, Xiaomin Yu, Fengchun Lv, Mingyu Gong, Xiu‐An Yang

PMC · DOI: 10.1002/cam4.71600 · Cancer Medicine · 2026-02-03

## TL;DR

This study explores how different cell types interact in breast cancer subtypes, revealing key pathways that could influence treatment and prognosis.

## Contribution

The study identifies novel cell communication pathways and their roles in different breast cancer subtypes using single-cell and bulk RNA sequencing.

## Key findings

- ANGPTL pathway is critical in estrogen receptor-positive breast cancer.
- PTN pathway plays a key role in both ER+BC and HER2+BC, while GAS pathway is linked to poor prognosis in TNBC.
- SPP1 and GRN pathways in macrophage-fibroblast interactions influence tumor progression in ER+BC.

## Abstract

The study is to investigate differential signaling pathways within the tumor microenvironment across molecular subtypes of breast cancer (BC).

Single‐cell RNA (scRNA‐seq) sequencing data of BC samples were obtained from the Gene Expression Omnibus database. Cell types were identified using the SingleR package, in conjunction with the analysis of marker genes. Subsequently, Monocle was used for pseudotime analysis of epithelial cells, fibroblasts, and macrophages to characterize their differentiation states. CellChat was employed to study the ligand‐receptor interactions among various cell types across different BC molecular subtypes. In addition, we used common bulk RNA sequencing data from The Cancer Genome Atlas to investigate the correlation between key signaling pathway factors identified by scRNA‐seq and clinical outcomes.

Inference of copy number variation analysis using T cells revealed significantly elevated copy number variation scores in epithelial cells and fibroblasts. In the communication between epithelial cells and fibroblasts, the ANGPTL pathway is critical in estrogen receptor‐positive breast cancer (ER+BC), while the PTN pathway plays a key role in both ER+BC and human epidermal growth factor receptor 2‐positive breast cancer (HER2+BC), and the GAS pathway is associated with poor prognosis in triple‐negative breast cancer (TNBC). In the interaction between fibroblasts and macrophages, the macrophage subpopulation supporting tumor angiogenesis exhibits significant activity in ER+BC, with the associated SPP1 and GRN pathways strongly influencing tumor progression. The SEMA3 pathway mainly acts through dividing tumor‐associated fibroblast clusters across all BC subtypes. When exploring the role of lymphocytes, the PTN pathway also plays a role in HER2+BC, while in TNBC, CXCL and CD70 pathways are significantly involved in immune response modulation.

Our comprehensive analysis of cell–cell communication networks among epithelial cells, fibroblasts, macrophages, and lymphocytes across BC subtypes focuses on ligand‐receptor interactions. This study revealed that certain molecules within these networks exhibit significant prognostic value and therapeutic promise.

The figure shows single‐cell datasets of breast cancer collected from the GEO database, including estrogen receptor‐positive breast cancer, HER2‐positive breast cancer, and triple‐negative breast cancer. These datasets are used to analyze differences among breast cancer subtypes by studying the interactions among epithelial cells, fibroblasts, macrophages, and lymphocytes.

## Linked entities

- **Proteins:** PTN (pleiotrophin), GAST (gastrin), SPP1 (secreted phosphoprotein 1), GRN (granulin precursor), CD70 (CD70 molecule)
- **Diseases:** breast cancer (MONDO:0004989), estrogen receptor-positive breast cancer (MONDO:0006512), triple-negative breast cancer (MONDO:0005494)

## Full-text entities

- **Genes:** NR4A1 (nuclear receptor subfamily 4 group A member 1) [NCBI Gene 3164] {aka GFRP1, HMR, N10, NAK-1, NGFIB, NP10}, CFD (complement factor D) [NCBI Gene 1675] {aka ADIPSIN, ADN, DF, PFD}, ITGB1 (integrin subunit beta 1) [NCBI Gene 3688] {aka CD29, FNRB, GPIIA, MDF2, MSK12, VLA-BETA}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, VWF (von Willebrand factor) [NCBI Gene 7450] {aka F8VWF, VWD}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, MMRN1 (multimerin 1) [NCBI Gene 22915] {aka ECM, EMILIN4, GPIa*, MMRN}, ELF2 (E74 like ETS transcription factor 2) [NCBI Gene 1998] {aka EU32, NERF, NERF-1A, NERF-1B, NERF-1a,b, NERF-2}, GRN (granulin precursor) [NCBI Gene 2896] {aka CLN11, FTD2, GEP, GP88, PCDGF, PEPI}, NRP1 (neuropilin 1) [NCBI Gene 8829] {aka BDCA4, CD304, NP1, NRP, VEGF165R}, TYMS (thymidylate synthetase) [NCBI Gene 7298] {aka DKCD, HST422, TMS, TS}, EDNRA (endothelin receptor type A) [NCBI Gene 1909] {aka ET-A, ETA, ETA-R, ETAR, ETRA, MFDA}, NUPR1 (nuclear protein 1, transcriptional regulator) [NCBI Gene 26471] {aka COM1, P8}, EPCAM (epithelial cell adhesion molecule) [NCBI Gene 4072] {aka Ber-Ep4, BerEp4, DIAR5, EGP-2, EGP314, EGP40}, MEF2A (myocyte enhancer factor 2A) [NCBI Gene 4205] {aka ADCAD1, RSRFC4, RSRFC9, mef2}, ANGPTL4 (angiopoietin like 4) [NCBI Gene 51129] {aka ARP4, FIAF, HARP, HFARP, NL2, PGAR}, NRP2 (neuropilin 2) [NCBI Gene 8828] {aka NP2, NPN2, PRO2714, VEGF165R2}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, MCAM (melanoma cell adhesion molecule) [NCBI Gene 4162] {aka CD146, HEMCAM, METCAM, MUC18, MelCAM}, SCGB2A2 (secretoglobin family 2A member 2) [NCBI Gene 4250] {aka MGB1, PSBP1, UGB2}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, GABRP (gamma-aminobutyric acid type A receptor subunit pi) [NCBI Gene 2568], MKI67 (marker of proliferation Ki-67) [NCBI Gene 4288] {aka KIA, MIB-, MIB-1, PPP1R105}, CDK1 (cyclin dependent kinase 1) [NCBI Gene 983] {aka CDC2, CDC28A, P34CDC2}, MAPK14 (mitogen-activated protein kinase 14) [NCBI Gene 1432] {aka CSBP, CSBP1, CSBP2, CSPB1, EXIP, Mxi2}, SORT1 (sortilin 1) [NCBI Gene 6272] {aka Gp95, LDLCQ6, NT3, NTR3}, KLRD1 (killer cell lectin like receptor D1) [NCBI Gene 3824] {aka CD94}, KRT18 (keratin 18) [NCBI Gene 3875] {aka CK-18, CYK18, K18}, GNLY (granulysin) [NCBI Gene 10578] {aka D2S69E, LAG-2, LAG2, NKG5, TLA519}, ATF4 (activating transcription factor 4) [NCBI Gene 468] {aka CREB-2, CREB2, TAXREB67, TXREB}, PGR (progesterone receptor) [NCBI Gene 5241] {aka NR3C3, PR}, ITGA5 (integrin subunit alpha 5) [NCBI Gene 3678] {aka CD49e, FNRA, VLA-5, VLA5A}, TPSB2 (tryptase beta 2) [NCBI Gene 64499] {aka TPS2, tryptaseB, tryptaseC}, CD3D (CD3 delta subunit of T-cell receptor complex) [NCBI Gene 915] {aka CD3-DELTA, CD3DELTA, IMD19, T3D}, CXCR4 (C-X-C motif chemokine receptor 4) [NCBI Gene 7852] {aka CD184, D2S201E, FB22, HM89, HSY3RR, LCR1}, EPHB2 (EPH receptor B2) [NCBI Gene 2048] {aka BDPLT22, CAPB, DRT, EK5, EPHT3, ERK}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, LTB (lymphotoxin beta) [NCBI Gene 4050] {aka TNFC, TNFSF3, TNLG1C, p33}, ELF3 (E74 like ETS transcription factor 3) [NCBI Gene 1999] {aka EPR-1, ERT, ESE-1, ESX}, EREG (epiregulin) [NCBI Gene 2069] {aka EPR, ER, Ep}, FAP (fibroblast activation protein alpha) [NCBI Gene 2191] {aka DPPIV, FAPA, FAPalpha, SIMP}, MMP2 (matrix metallopeptidase 2) [NCBI Gene 4313] {aka CLG4, CLG4A, MMP-2, MMP-II, MONA, TBE-1}, ELF1 (E74 like ETS transcription factor 1) [NCBI Gene 1997] {aka EFTUD1, RIA1}, KDR (kinase insert domain receptor) [NCBI Gene 3791] {aka CD309, FLK1, VEGFR, VEGFR2}, TOP2A (DNA topoisomerase II alpha) [NCBI Gene 7153] {aka TOP2, TOP2alpha, TOPIIA, TP2A}, IRS1 (insulin receptor substrate 1) [NCBI Gene 3667] {aka HIRS-1}, CD68 (CD68 molecule) [NCBI Gene 968] {aka GP110, LAMP4, SCARD1}, SEMA3C (semaphorin 3C) [NCBI Gene 10512] {aka SEMAE, SemE}, HLA-DRB1 (major histocompatibility complex, class II, DR beta 1) [NCBI Gene 3123] {aka DRB1, HLA-DR1B, HLA-DRB, SS1}, NOTCH3 (notch receptor 3) [NCBI Gene 4854] {aka CADASIL, CADASIL1, CARASIL1, CASIL, FPLD1, IMF2}, NUCLEOLIN (nucleolin multifunctional protein) [NCBI Gene 4691] {aka C23, NCL, Nsr1}, PAK1 (p21 (RAC1) activated kinase 1) [NCBI Gene 5058] {aka IDDMSSD, PAKalpha, alpha-PAK, p65-PAK}, CD163 (CD163 molecule) [NCBI Gene 9332] {aka M130, MM130, SCARI1}, AXL (AXL receptor tyrosine kinase) [NCBI Gene 558] {aka ARK, AXL3, JTK11, Tyro7, UFO}, CXCL14 (C-X-C motif chemokine ligand 14) [NCBI Gene 9547] {aka BMAC, BRAK, KEC, KS1, MIP-2g, MIP2G}, TPSAB1 (tryptase alpha/beta 1) [NCBI Gene 7177] {aka TPS1, TPS2, TPSB1, TPSB2, Tryptase-2}, FGFBP2 (fibroblast growth factor binding protein 2) [NCBI Gene 83888] {aka HBP17RP, KSP37}, ACTA2 (actin alpha 2, smooth muscle) [NCBI Gene 59] {aka ACTSA, SMDYS}, TYRO3 (TYRO3 protein tyrosine kinase) [NCBI Gene 7301] {aka BYK, Dtk, Etk-2, RSE, Rek, Sky}
- **Diseases:** prostate, colorectal, gastric, and renal carcinomas (MESH:D015179), carcinogenesis (MESH:D063646), TNBC (MESH:D064726), BC (MESH:D001943), multiple myeloma (MESH:D009101), tumorigenic (MESH:D002471), NB (MESH:D009447), deaths (MESH:D003643), melanoma (MESH:D008545), CNV (OMIM:610141), SCLC (MESH:D055752), LUAD (MESH:D000077192), TAMs (MESH:D000072716), positive (MESH:D000377), leukemia (MESH:D007938), RCC (MESH:D002292), skin tumor (MESH:D012878), TAM (MESH:D020914), lymphoma (MESH:D008223), chronic inflammation (MESH:D007249), adenocarcinomas (MESH:D000230), glioblastoma (MESH:D005909), Tumor (MESH:D009369), pancreatic cancer (MESH:D010190), ovarian cancer (MESH:D010051), osteosarcoma (MESH:D012516), metastasis (MESH:D009362), DCIS (MESH:D002285)
- **Chemicals:** Cy (MESH:D003545), Monocle (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** S2 — Drosophila melanogaster (Fruit fly), Spontaneously immortalized cell line (CVCL_Z232)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12868385/full.md

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12868385/full.md

## References

67 references — full list in the complete paper: https://tomesphere.com/paper/PMC12868385/full.md

---
Source: https://tomesphere.com/paper/PMC12868385