Evidence map›Paper›PMID 35348758›Full record

ArticleMolecular cancer research : MCR2022

Therapeutic Targeting of Stromal-Tumor HGF-MET Signaling in an Organotypic Triple-Negative Breast Tumor Model.

Sunil Singh, Astha Lamichhane, Pouria Rafsanjani Nejad, Jacob Heiss, Hannah Baumann, Ravindra Gudneppanavar, Nic D Leipzig, Michael Konopka, Gary D Luker, Hossein Tavana

Open access · greenAbstract read
In one paragraph

Article in Molecular cancer research : MCR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 18 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Sunil SinghDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio.ORCID 0000-0003-3899-9764
Astha LamichhaneDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio.ORCID 0000-0003-1968-7298
Pouria Rafsanjani NejadDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio.ORCID 0000-0003-1220-1769
Jacob HeissDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio.
Hannah BaumannDepartment of Chemical, Biomolecular, and Corrosion Engineering, The University of Akron, Akron, Ohio.
Ravindra GudneppanavarDepartment of Chemistry, The University of Akron, Akron, Ohio.
Nic D LeipzigDepartment of Chemical, Biomolecular, and Corrosion Engineering, The University of Akron, Akron, Ohio.
Michael KonopkaDepartment of Chemistry, The University of Akron, Akron, Ohio.ORCID 0000-0002-2194-6300
Gary D LukerDepartments of Radiology, Microbiology and Immunology, Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0001-6832-2581
Hossein TavanaDepartment of Biomedical Engineering, The University of Akron, Akron, Ohio.ORCID 0000-0003-3872-1869
University of Akron · USUniversity of Michigan · US

Funding

A High Throughput Human Tumor Modeling Technology for Cancer Drug DiscoveryR33CA225549 · NCI · UNIVERSITY OF AKRON · PI LUKER, GARY D, TAVANA, HOSSEIN · 2019 to 2021
$1.4M
Modeling Treatment-Induced Drug Resistance of Colon Cancer Cells and Treatment StrategiesR15CA216413 · NCI · UNIVERSITY OF AKRON · PI TAVANA, HOSSEIN · 2018 to 2019
$547k
NCI NIH HHS R15 CA216413NCI NIH HHS R33 CA225549
6 · The paper itself

Abstract

The tumor microenvironment (TME) promotes proliferation, drug resistance, and invasiveness of cancer cells. Therapeutic targeting of the TME is an attractive strategy to improve outcomes for patients, particularly in aggressive cancers such as triple-negative breast cancer (TNBC) that have a rich stroma and limited targeted therapies. However, lack of preclinical human tumor models for mechanistic understanding of tumor-stromal interactions has been an impediment to identify effective treatments against the TME. To address this need, we developed a three-dimensional organotypic tumor model to study interactions of patient-derived cancer-associated fibroblasts (CAF) with TNBC cells and explore potential therapy targets. We found that CAFs predominantly secreted hepatocyte growth factor (HGF) and activated MET receptor tyrosine kinase in TNBC cells. This tumor-stromal interaction promoted invasiveness, epithelial-to-mesenchymal transition, and activities of multiple oncogenic pathways in TNBC cells. Importantly, we established that TNBC cells become resistant to monotherapy and demonstrated a design-driven approach to select drug combinations that effectively inhibit prometastatic functions of TNBC cells. Our study also showed that HGF from lung fibroblasts promotes colony formation by TNBC cells, suggesting that blocking HGF-MET signaling potentially could target both primary TNBC tumorigenesis and lung metastasis. Overall, we established the utility of our organotypic tumor model to identify and therapeutically target specific mechanisms of tumor-stromal interactions in TNBC toward the goal of developing targeted therapies against the TME. IMPLICATIONS: Leveraging a state-of-the-art organotypic tumor model, we demonstrated that CAFs-mediated HGF-MET signaling drive tumorigenic activities in TNBC and presents a therapeutic target.

Indexed as

Triple Negative Breast NeoplasmsCell Line, TumorCell ProliferationHepatocyte Growth FactorHumansProto-Oncogene Proteins c-metSignal TransductionTumor MicroenvironmentHepatocyte Growth FactorHGF protein, humanProto-Oncogene Proteins c-met

Identifiers

PMID35348758
PMCPMC9262791
OpenAlexW4220759833

What OpenQuestion holds

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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 OpenQuestion graph.