# Transcriptome profiling revealed multiple genes and ECM-receptor interaction pathways that may be associated with breast cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/transcriptome-profiling-revealed-multiple-genes-and-ecm-receptor-interaction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yulong Bao,Li Wang,Lin Shi,Fen Yun,Xia Liu,Yongxia Chen,Chen Chen,Yanni Ren,Yongfeng Jia |
| Citations | 392 |
| DOI | 10.1186/s11658-019-0162-0 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://link.springer.com/content/pdf/10.1186/s11658-019-0162-0.pdf |
| OpenAlex ID | https://openalex.org/W2948388080 |
| PMID | 31182966 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Xia Liu](https://scholariq.org/researchers/xia-liu/)

## Paper primary topic

- [Ferroptosis and cancer prognosis](https://scholariq.org/topics/ferroptosis-and-cancer-prognosis/)

## Paper topics

- [Ferroptosis and cancer prognosis](https://scholariq.org/topics/ferroptosis-and-cancer-prognosis/)
- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)
- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.