Evidence map›Paper›PMID 28061439›Full record

ArticleOncotarget2017

Synthetic high-density lipoproteins as targeted monotherapy for chronic lymphocytic leukemia.

Kaylin M McMahon, Cristina Scielzo, Nicholas L Angeloni, Elad Deiss-Yehiely, Lydia Scarfo, Pamela Ranghetti, Shuo Ma, Jason Kaplan, Federica Barbaglio, Leo I Gordon and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
2.6field-weighted citation impact, top 10% 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, 28 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

13 authors at 5 institutions in 2 countries.

Kaylin M McMahonDepartment of Urology, Feinberg School of Medicine, Northwestern University, Tarry, Chicago, IL, USA.
Cristina ScielzoUniversità Vita-Salute San Raffaele, Milan, Italy.
Nicholas L AngeloniDepartment of Urology, Feinberg School of Medicine, Northwestern University, Tarry, Chicago, IL, USA.
Elad Deiss-YehielyDepartment of Urology, Feinberg School of Medicine, Northwestern University, Tarry, Chicago, IL, USA.
Lydia ScarfoUniversità Vita-Salute San Raffaele, Milan, Italy.
Pamela RanghettiUniversità Vita-Salute San Raffaele, Milan, Italy.
Shuo MaRobert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA.
Jason KaplanRobert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA.
Federica BarbaglioStrategic Research Program On CLL and Unit of B cell Neoplasia, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Leo I GordonRobert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA.
Francis J GilesRobert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA.
C Shad ThaxtonDepartment of Urology, Feinberg School of Medicine, Northwestern University, Tarry, Chicago, IL, USA.
Paolo GhiaUniversità Vita-Salute San Raffaele, Milan, Italy.
Northwestern University · USVita-Salute San Raffaele University · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITRobert H. Lurie Comprehensive Cancer Center of Northwestern UniversityInternational Institute for Nanotechnology

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Theranostic Magnetic Nanostructures for the Molecular Imaging of CancerU54CA151880 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MIRKIN, CHAD A. · 2010 to 2014
$11.5M
CARCINOGENESIS TRAINING PROGRAMT32CA009560 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Kathleen Janee Green · 1986 to 2026
$8.4M
High Density Lipoprotein Nanoparticles for siRNA DeliveryR01CA167041 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI THAXTON, COLBY SHAD · 2012 to 2016
$1.6M
NCATS NIH HHS UL1 TR001422NCI NIH HHS P30 CA060553NCI NIH HHS R01 CA167041NCI NIH HHS T32 CA009560NCI NIH HHS U54 CA151880
6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) remains incurable despite the introduction of new drugs. Therapies targeting receptors and pathways active specifically in malignant B cells might provide better treatment options. For instance, in B cell lymphoma, our group has previously shown that scavenger receptor type B-1 (SR-B1), the high-affinity receptor for cholesterol-rich high-density lipoproteins (HDL), is a therapeutic target. As evidence suggests that targeting cholesterol metabolism in CLL cells may have therapeutic benefit, we examined SR-B1 expression in primary CLL cells from patients. Unlike normal B cells that do not express SR-B1, CLL cells express the receptor. As a result, we evaluated cholesterol-poor synthetic HDL nanoparticles (HDL NP), known for targeting SR-B1, as a therapy for CLL. HDL NPs potently and selectively induce apoptotic cell death in primary CLL cells. HDL NPs had no effect on normal peripheral blood mononuclear cells from healthy individuals or patients with CLL. These data implicate SR-B1 as a target in CLL and HDL NPs as targeted monotherapy for CLL.

Indexed as

ApoptosisBinding, CompetitiveBlotting, WesternCD36 AntigensCells, CulturedFemaleFlow CytometryHumansLeukemia, Lymphocytic, Chronic, B-CellLeukocytes, MononuclearLipoproteins, HDLMaleNanoparticlesProtein BindingCD36 AntigensLipoproteins, HDLbiomaterialsleukemialipoproteinnanoparticlescavenger receptor type B-I

Identifiers

PMID28061439
PMCPMC5355259
OpenAlexW2571465655

What OpenQuestion holds

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LicenceCC BY
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.