Evidence map›Paper›PMID 31998832›Full record

ArticleScience advances2020

Triangular correlation (TrC) between cancer aggressiveness, cell uptake capability, and cell deformability.

Yifat Brill-Karniely, Dvir Dror, Tal Duanis-Assaf, Yoel Goldstein, Ouri Schwob, Talya Millo, Natalie Orehov, Tal Stern, Mohammad Jaber, Netanel Loyfer and 7 more

Abstract read
In one paragraph

Article in Science advances, 2020. 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
–field-weighted citation impact
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.

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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

17 authors.

Yifat Brill-KarnielyInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID 0000-0002-8842-9105
Dvir DrorInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID 0000-0002-6552-8792
Tal Duanis-AssafInstitute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Yoel GoldsteinInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.
Ouri SchwobInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.
Talya MilloInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.
Natalie OrehovInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID 0000-0002-8882-3049
Tal SternInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.
Mohammad JaberDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem 91120, Israel.
Netanel LoyferSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Margarita Vosk-ArtziInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID 0000-0001-9678-7829
Hadar BenyaminiInfo-CORE, Bioinformatics Unit of the I-CORE at the Hebrew University and Hadassah Medical Center, Jerusalem 9112001, Israel.
Diane BielenbergDepartment of Surgery, Harvard Medical School, Vascular Biology Program, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0003-3905-0059
Tommy KaplanSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.ORCID 0000-0002-1892-5461
Yosef BuganimDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem 91120, Israel.
Meital RechesInstitute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.ORCID 0000-0001-5652-9868
Ofra BennyInstitute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel.ORCID 0000-0002-2468-5978

Funding

European Research Council
6 · The paper itself

Abstract

The malignancy potential is correlated with the mechanical deformability of the cancer cells. However, mechanical tests for clinical applications are limited. We present here a Triangular Correlation (TrC) between cell deformability, phagocytic capacity, and cancer aggressiveness, suggesting that phagocytic measurements can be a mechanical surrogate marker of malignancy. The TrC was proved in human prostate cancer cells with different malignancy potential, and in human bladder cancer and melanoma cells that were sorted into subpopulations based solely on their phagocytic capacity. The more phagocytic subpopulations showed elevated aggressiveness ex vivo and in vivo. The uptake potential was preserved, and differences in gene expression and in epigenetic signature were detected. In all cases, enhanced phagocytic and aggressiveness phenotypes were correlated with greater cell deformability and predicted by a computational model. Our multidisciplinary study provides the proof of concept that phagocytic measurements can be applied for cancer diagnostics and precision medicine.

Indexed as

AlgorithmsAnimalsCell Line, TumorCell MovementDisease Models, AnimalDisease ProgressionDisease SusceptibilityEndocytosisHeterograftsHumansMiceModels, TheoreticalNeoplasm MetastasisNeoplasmsPhagocytosis

Identifiers

PMID31998832
PMCPMC6962040

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.