ReviewInternational journal of molecular sciences2021
The In Vivo Selection Method in Breast Cancer Metastasis.
Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
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Who cites it
15 citing papers in PubMed, 32 citations in OpenAlex.
- The notch-miR-188-5p-TIMP2/3 axis orchestrates exosome-driven pre-metastatic niche formation in colorectal cancer.Cancer cell international · 2026Article
- Anoikis resistance in Cancer: Mechanisms, therapeutic strategies, potential targets, and models for enhanced understanding.Cancer letters · 2025Review
- Establishing preclinical models for clear cell sarcoma of soft tissue.Frontiers in oncology · 2025Article
- Approaches to modeling cancer metastasis: from bench to bedside.Frontiers in oncology · 2025Review
- Leveraging preclinical models of metastatic breast cancer.Biochimica et biophysica acta. Reviews on cancer · 2024Review
- Antibody-activation of connexin hemichannels in bone osteocytes with ATP release suppresses breast cancer and osteosarcoma malignancy.Cell reports · 2024Article
- Coumarin-Furoxan Hybrid Suppressed the Proliferation and Metastasis of Triple-Negative Breast Cancer by Activating Mitochondrial Stress and Cell Apoptosis.ACS pharmacology & translational science · 2024Article
- The progressive trend of modeling and drug screening systems of breast cancer bone metastasis.Journal of biological engineering · 2024Review
- Nimbolide-based nanomedicine inhibits breast cancer stem-like cells by epigenetic reprogramming of DNMTs-SFRP1-Wnt/β-catenin signaling axis.Molecular therapy. Nucleic acids · 2023Article
- Cathelicidin LL-37 promotes EMT, migration and metastasis of hepatocellular carcinoma cells in vitro and mouse model.Cell adhesion & migration · 2023Article
- Article
- Review
- Aberrant accumulation of NIK promotes tumor growth by dysregulating translation and post-translational modifications in breast cancer.Cancer cell international · 2023Article
- Metastatic profiling of HER2-positive breast cancer cell lines in xenograft models.Clinical & experimental metastasis · 2022Article
- Identification of two cancer stem cell-like populations in triple-negative breast cancer xenografts.Disease models & mechanisms · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Metastasis is a complex event in cancer progression and causes most deaths from cancer. Repeated transplantation of metastatic cancer cells derived from transplanted murine organs can be used to select the population of highly metastatic cancer cells; this method is called as in vivo selection. The in vivo selection method and highly metastatic cancer cell lines have contributed to reveal the molecular mechanisms of cancer metastasis. Here, we present an overview of the methodology for the in vivo selection method. Recent comparative analysis of the transplantation methods for metastasis have revealed the divergence of metastasis gene signatures. Even cancer cells that metastasize to the same organ show various metastatic cascades and gene expression patterns by changing the transplantation method for the in vivo selection. These findings suggest that the selection of metastasis models for the study of metastasis gene signatures has the potential to influence research results. The study of novel gene signatures that are identified from novel highly metastatic cell lines and patient-derived xenografts (PDXs) will be helpful for understanding the novel mechanisms of metastasis.
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What OpenQuestion holds
Registered trials
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.