ERα36-High Cancer-Associated Fibroblasts as an Unfavorable Factor in Triple-Negative Breast Cancer

Regulation of Stromal Cells by Sex Steroid Hormones in the Breast Cancer Microenvironment

Breast cancer is a prevalent hormone-dependent malignancy, and estrogens/estrogen receptor (ER) signaling are pivotal therapeutic targets in ER-positive breast cancers, where endocrine therapy has significantly improved treatment efficacy. However, the emergence of both de novo and acquired resistance to these therapies continues to pose challenges. Additionally, androgens are produced locally in breast carcinoma tissues by androgen-producing enzymes, and the androgen receptor (AR) is commonly expressed in breast cancer cells. Intratumoral androgens play a significant role in breast cancer progression and are closely linked to resistance to endocrine treatments. The tumor microenvironment, consisting of tumor cells, immune cells, fibroblasts, extracellular matrix, and blood vessels, is crucial for tumor progression. Stromal cells influence tumor progression through direct interactions with cancer cells, the secretion of soluble factors, and modulation of tumor immunity. Estrogen and androgen signaling in breast cancer cells affects the tumor microenvironment, and the expression of hormone receptors correlates with the diversity of the stromal cell profile. Notably, various stromal cells also express ER or AR, which impacts breast cancer development. This review describes how sex steroid hormones, particularly estrogens and androgens, affect stromal cells in the breast cancer microenvironment. We summarize recent findings focusing on the effects of ER/AR signaling in breast cancer cells on stromal cells, as well as the direct effects of ER/AR signaling in stromal cells.

Integrated analysis of fibroblasts molecular features in papillary thyroid cancer combining single-cell and bulk RNA sequencing technology

BACKGROUND

Papillary thyroid cancer (PTC) is the most common pathological type of thyroid cancer with a high incidence globally. Increasing evidence reported that fibroblasts infiltration in cancer was correlated with prognostic outcomes. However, fibroblasts related study in thyroid cancer remains deficient.

METHODS

Single-cell sequencing data of PTC were analyzed by Seurat R package to explore the ecosystem in PTC and identify fibroblasts cluster. The expression profiles and prognostic values of fibroblast related genes were assessed in TCGA dataset. A fibrosis score model was established for prognosis prediction in thyroid cancer patients. Differentially expressed genes and functional enrichment between high and low fibrosis score groups in TCGA dataset were screened. The correlation of immune cells infiltration and fibrosis score in thyroid cancer patients was explored. Expression levels and prognostic values of key fibroblast related factor were validated in clinical tissues another PTC cohort.

RESULTS

Fibroblasts were highly infiltrated in PTC and could interact with other type of cells by single-cell data analysis. 34 fibroblast related terms were differentially expressed in thyroid tumor tissues. COX regression analysis suggested that the constructed fibrosis score model was an independent prognostic predictor for thyroid cancer patients (HR = 5.17, 95%CI 2.31-11.56, P = 6.36E-05). Patients with low fibrosis scores were associated with a significantly better overall survival (OS) than those with high fibrosis scores in TCGA dataset (P = 7.659E-04). Specific immune cells infiltration levels were positively correlated with fibrosis score, including monocytes, M1 macrophages and eosinophils.

CONCLUSION

Our research demonstrated a comprehensive horizon of fibroblasts features in thyroid cancer microenvironment, which may provide potential value for thyroid cancer treatment.