Evidence map›Paper›PMID 36193887›Full record

ArticleeLife2022

Machine learning-assisted elucidation of CD81-CD44 interactions in promoting cancer stemness and extracellular vesicle integrity.

Erika K Ramos, Chia-Feng Tsai, Yuzhi Jia, Yue Cao, Megan Manu, Rokana Taftaf, Andrew D Hoffmann, Lamiaa El-Shennawy, Marina A Gritsenko, Valery Adorno-Cruz and 18 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 35 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

28 authors at 4 institutions in 1 country.

Erika K RamosDepartment of Pharmacology, Northwestern University, Chicago, United States.ORCID 0000-0003-3194-3442
Chia-Feng TsaiBiological Sciences Division, Pacific Northwest National Laboratory, Washington, United States.ORCID 0000-0002-6514-6911
Yuzhi JiaDepartment of Pharmacology, Northwestern University, Chicago, United States.
Yue CaoDepartment of Electrical and Computer Engineering, TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, United States.
Megan ManuDepartment of Pharmacology, Northwestern University, Chicago, United States.
Rokana TaftafDepartment of Pharmacology, Northwestern University, Chicago, United States.
Andrew D HoffmannDepartment of Pharmacology, Northwestern University, Chicago, United States.ORCID 0000-0002-5479-944X
Lamiaa El-ShennawyDepartment of Pharmacology, Northwestern University, Chicago, United States.
Marina A GritsenkoBiological Sciences Division, Pacific Northwest National Laboratory, Washington, United States.ORCID 0000-0001-9992-9829
Valery Adorno-CruzDepartment of Pharmacology, Northwestern University, Chicago, United States.
Emma J SchusterDepartment of Pharmacology, Northwestern University, Chicago, United States.
David ScholtenDepartment of Pharmacology, Northwestern University, Chicago, United States.
Dhwani PatelDepartment of Pharmacology, Northwestern University, Chicago, United States.ORCID 0000-0002-9368-2850
Xia LiuDepartment of Pharmacology, Northwestern University, Chicago, United States.
Priyam PatelQuantitative Data Science Core, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, United States.ORCID 0000-0002-9433-5017
Brian WrayQuantitative Data Science Core, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, United States.
Youbin ZhangDepartment of Medicine, Hematology/Oncology Division, Feinberg School of Medicine, Northwestern University, Chicago, United States.
Shanshan ZhangPathology Core Facility, Northwestern University, Chicago, United States.
Ronald J MooreBiological Sciences Division, Pacific Northwest National Laboratory, Washington, United States.ORCID 0000-0003-2806-2855
Jeremy V MathewsPathology Core Facility, Northwestern University, Chicago, United States.
Matthew J SchipmaQuantitative Data Science Core, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, United States.ORCID 0000-0002-0865-1057
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Washington, United States.ORCID 0000-0001-9529-6550
Valerie L TokarsDepartment of Pharmacology, Northwestern University, Chicago, United States.ORCID 0000-0002-2619-3969
Massimo CristofanilliDepartment of Medicine, Hematology/Oncology Division, Feinberg School of Medicine, Northwestern University, Chicago, United States.
Tujin Shi *Biological Sciences Division, Pacific Northwest National Laboratory, Washington, United States.
Yang Shen *Department of Electrical and Computer Engineering, TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, United States.ORCID 0000-0002-1703-7796
Nurmaa K Dashzeveg *Department of Pharmacology, Northwestern University, Chicago, United States.ORCID 0000-0002-6702-5187
Huiping Liu *Department of Pharmacology, Northwestern University, Chicago, United States.ORCID 0000-0003-4822-7995
Northwestern University · USPacific Northwest National Laboratory · USRobert H. Lurie Comprehensive Cancer Center of Northwestern UniversityTexas A&M University System · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
CELLULAR &MOLECULAR BASIS OF DISEASE TRAINING PROGRAMT32GM008061 · NIGMS · NORTHWESTERN UNIVERSITY · PI CARTHEW, RICHARD W. · 1985 to 2022
$17.1M
CARCINOGENESIS TRAINING PROGRAMT32CA009560 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Kathleen Janee Green · 1986 to 2026
$8.4M
TRAINING PROGRAM IN ONCOGENESIS &DEVELOPMENT BIOLOGYT32CA080621 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI EKLUND, ELIZABETH ANN · 2001 to 2018
$4.1M
Unraveling molecular and system-level mechanisms of human disease-associated protein mutationsR35GM124952 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI Yang Shen · 2017 to 2026
$2.9M
Molecular mechanisms underlying circulating tumor cell aggregationR01CA245699 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LIU, HUIPING · 2020 to 2024
$2.0M
Targeted proteomics technology for accurate quantitative single-cell proteomicsR01GM139858 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SHI, TUJIN · 2021 to 2024
$1.6M
A streamlined platform for phosphoproteome mapping of human tissuesUH3CA256967 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, HUIPING, SHI, TUJIN · 2022 to 2023
$1.2M
A streamlined platform for phosphoproteome mapping of human tissuesUG3CA256967 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, HUIPING, SHI, TUJIN · 2020 to 2021
$800k
NCATS NIH HHS UL1 TR001422NCI NIH HHS R01 CA245699NCI NIH HHS T32 CA009560NCI NIH HHS T32 CA080621NCI NIH HHS UG3 CA256967NIGMS NIH HHS R01 GM139858NIGMS NIH HHS R35 GM124952NIGMS NIH HHS T32 GM008061
6 · The paper itself

Abstract

Tumor-initiating cells with reprogramming plasticity or stem-progenitor cell properties (stemness) are thought to be essential for cancer development and metastatic regeneration in many cancers; however, elucidation of the underlying molecular network and pathways remains demanding. Combining machine learning and experimental investigation, here we report CD81, a tetraspanin transmembrane protein known to be enriched in extracellular vesicles (EVs), as a newly identified driver of breast cancer stemness and metastasis. Using protein structure modeling and interface prediction-guided mutagenesis, we demonstrate that membrane CD81 interacts with CD44 through their extracellular regions in promoting tumor cell cluster formation and lung metastasis of triple negative breast cancer (TNBC) in human and mouse models. In-depth global and phosphoproteomic analyses of tumor cells deficient with CD81 or CD44 unveils endocytosis-related pathway alterations, leading to further identification of a quality-keeping role of CD44 and CD81 in EV secretion as well as in EV-associated stemness-promoting function. CD81 is coexpressed along with CD44 in human circulating tumor cells (CTCs) and enriched in clustered CTCs that promote cancer stemness and metastasis, supporting the clinical significance of CD81 in association with patient outcomes. Our study highlights machine learning as a powerful tool in facilitating the molecular understanding of new molecular targets in regulating stemness and metastasis of TNBC.

Indexed as

Extracellular VesiclesTriple Negative Breast NeoplasmsAnimalsCell Line, TumorHumansHyaluronan ReceptorsMachine LearningMiceTetraspanin 28TetraspaninsCD44 protein, humanCD81 protein, humanHyaluronan ReceptorsTetraspanin 28Tetraspaninsbreast cancer metastasiscancer biologyCD81computational biologyhumanmachine learningmouseprotein interactionssystems biologytumor clusters

Identifiers

PMID36193887
PMCPMC9581534
OpenAlexW4300716327

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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.