Evidence map›Paper›PMID 31285548›Full record

ArticleOncogene2019

Septin 9 isoforms promote tumorigenesis in mammary epithelial cells by increasing migration and ECM degradation through metalloproteinase secretion at focal adhesions.

Jenna Marcus, Michal Bejerano-Sagie, Nicole Patterson, Susmita Bagchi, Vladislav V Verkhusha, Diana Connolly, Gary L Goldberg, Aaron Golden, Ved P Sharma, John Condeelis and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Oncogene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Jenna Marcus *Departments of Obstetrics & Gynecology and Women's Health, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
Michal Bejerano-Sagie *Genetics, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
Nicole PattersonGenetics, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
Susmita BagchiGenetics, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
Vladislav V VerkhushaSchool of Mathematics, Statistics & Applied Mathematics, National University of Ireland Galway, Galway, Ireland.
Diana ConnollyGenetics, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
Gary L GoldbergDepartments of Obstetrics & Gynecology and Women's Health, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
Aaron GoldenGenetics, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
Ved P SharmaAnatomy and Structural Biology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
John CondeelisAnatomy and Structural Biology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.ORCID http://orcid.org/0000-0001-8826-2336
Cristina MontagnaGenetics, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA. cristina.montagna@einstein.yu.edu.
Albert Einstein College of Medicine · USOllscoil na Gaillimhe – University of Galway · IE

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI THOMAS E ROHAN · 1985 to 2026
$111.2M
Near-Infrared Fluorescent Proteins, Biosensors and Optogenetic ToolsR35GM122567 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Vladislav Verkhusha · 2017 to 2026
$4.3M
Signal transduction regulating tumor cell disseminationR01CA150344 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CONDEELIS, JOHN S · 2010 to 2020
$3.7M
NCI NIH HHS P30 CA013330NCI NIH HHS R01 CA150344NIGMS NIH HHS R35 GM122567
6 · The paper itself

Abstract

The cytoskeletal interacting protein Septin 9 (SEPT9), a member of the septin gene family, has been proposed to have oncogenic functions. It is a known hot spot of retroviral tagging insertion and a fusion partner of both de novo and therapy-induced mixed lineage leukemia (MLL). Of all septins, SEPT9 holds the strongest link to cancer, especially breast cancer. Murine models of breast cancer frequently exhibit SEPT9 amplification in the form of double minute chromosomes, and about 20% of human breast cancer display genomic amplification and protein over expression at the SEPT9 locus. Yet, a clear mechanism by which SEPT9 elicits tumor-promoting functions is lacking. To obtain unbiased insights on molecular signatures of SEPT9 upregulation in breast tumors, we overexpressed several of its isoforms in breast cancer cell lines. Global transcriptomic profiling supports a role of SEPT9 in invasion. Functional studies reveal that SEPT9 upregulation is sufficient to increase degradation of the extracellular matrix, while SEPT9 downregulation inhibits this process. The degradation pattern is peripheral and associated with focal adhesions (FAs), where it is coupled with increased expression of matrix metalloproteinases (MMPs). SEPT9 overexpression induces MMP upregulation in human tumors and in culture models and promotes MMP3 secretion to the media at FAs. Downregulation of SEPT9 or chemical inhibition of septin filament assembly impairs recruitment of MMP3 to FAs. Our results indicate that SEPT9 promotes upregulation and both trafficking and secretion of MMPs near FAs, thus enhancing migration and invasion of breast cancer cells.

Indexed as

CarcinogenesisCell MovementFocal AdhesionsBreast NeoplasmsExtracellular MatrixHumansMammary Glands, HumanMatrix MetalloproteinasesMCF-7 CellsNeoplasm InvasivenessProtein IsoformsSeptinsTumor MicroenvironmentUp-RegulationMatrix MetalloproteinasesProtein IsoformsSEPTIN9 protein, humanSeptins

Identifiers

PMID31285548
PMCPMC6859949
OpenAlexW2953686455

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.