Evidence map›Paper›PMID 41287800›Full record

ArticleBiologics : targets & therapy2025

Tumor-to-Tumor Metastasis: Breast Cancer Metastasizing to EGFR Exon 19-Mutated Lung Adenocarcinoma with Long-Term Disease-Free Survival.

Yana Zhang, Yang Hao, Han Yang, Xiangli Meng, Shanshan Yang, Jin Wang, Jinling Xie, Ping Lu, Yinghua Ji

Abstract readCase Reports
In one paragraph

Article in Biologics : targets & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yana ZhangDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.ORCID 0000-0003-4463-1827
Yang HaoDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.
Han YangDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.
Xiangli MengDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.
Shanshan YangDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.
Jin WangDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.
Jinling XieDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.
Ping Lu *Department of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.
Yinghua Ji *Department of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453100, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-to-tumor metastasis (TTM) is a rare phenomenon characterized by the metastasis of one malignant tumor into another histologically different tumor. While breast and lung cancers are prevalent among women globally, TTM involving breast cancer metastasizing to lung adenocarcinoma is exceptionally uncommon. Herein, we report a rare case of Luminal B breast cancer metastasizing to EGFR exon 19 deletion-mutated lung adenocarcinoma. The patient achieved prolonged disease-free survival following comprehensive treatment, including surgical resection, chemotherapy, EGFR-tyrosine kinase inhibitor (TKI) therapy, and endocrine therapy. This case highlights the importance of molecular profiling in guiding personalized therapeutic strategies for TTM, particularly when actionable mutations are present.

Indexed as

breast cancerEGFR mutationlung cancertargeted therapytumor-to-tumor metastasis

Identifiers

PMID41287800
PMCPMC12640590

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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 OpenQuestion graph.