Evidence map›Paper›PMID 38339428›Full record

ArticleCancers2024

Macrophages Promote Subtype Conversion and Endocrine Resistance in Breast Cancer.

Xiaoyan Zhang, Fengyu Yang, Zhijian Huang, Xiaojun Liu, Gan Xia, Jieye Huang, Yang Yang, Junchen Li, Jin Huang, Yuxin Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Xiaoyan ZhangDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Fengyu YangDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Zhijian HuangDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Xiaojun LiuDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Gan XiaDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Jieye HuangDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Yang YangDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Junchen LiDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Jin HuangDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Yuxin LiuDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Ti ZhouDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Weiwei QiDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Guoquan GaoDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Xia YangDepartment of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Sun Yat-sen University · CNGuangzhou Medical University · CNGuangzhou Women and Children Medical Center · CN

Funding

Guangdong Natural Science Fund 2021A1515010434Guangdong Natural Science Fund 2022A1515012423Guangdong Natural Science Fund 2022A1515111062Guangdong Natural Science Fund 2023A1515010316National Key R&D Program of China 2018YFA0800403National Natural Science Foundation of China 82070882National Natural Science Foundation of China 82070888National Natural Science Foundation of China 82273116
6 · The paper itself

Abstract

backgroundThe progression of tumors from less aggressive subtypes to more aggressive states during metastasis poses challenges for treatment strategies. Previous studies have revealed the molecular subtype conversion between primary and metastatic tumors in breast cancer (BC). However, the subtype conversion during lymph node metastasis (LNM) and the underlying mechanism remains unclear.

methodsWe compared clinical subtypes in paired primary tumors and positive lymph nodes (PLNs) in BC patients and further validated them in the mouse model. Bioinformatics analysis and macrophage-conditioned medium treatment were performed to investigate the role of macrophages in subtype conversion.

resultsDuring LNM, hormone receptors (HRs) were down-regulated, while HER2 was up-regulated, leading to the transformation of luminal A tumors towards luminal B tumors and from luminal B subtype towards HER2-enriched (HER2-E) subtype. The mouse model demonstrated the elevated levels of HER2 in PLN while retaining luminal characteristics. Among the various cells in the tumor microenvironment (TME), macrophages were the most clinically relevant in terms of prognosis. The treatment of a macrophage-conditioned medium further confirmed the downregulation of HR expression and upregulation of HER2 expression, inducing tamoxifen resistance. Through bioinformatics analysis, MNX1 was identified as a potential transcription factor governing the expression of HR and HER2.

conclusionOur study revealed the HER2-E subtype conversion during LNM in BC. Macrophages were the crucial cell type in TME, inducing the downregulation of HR and upregulation of HER2, probably via MNX1. Targeting macrophages or MNX1 may provide new avenues for endocrine therapy and targeted treatment of BC patients with LNM.

Indexed as

breast cancerclinical subtypeendocrine resistancemacrophageMNX1

Identifiers

PMID38339428
PMCPMC10854660
OpenAlexW4391576254

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.