Evidence map›Paper›PMID 39151003›Full record

ArticleScience advances2024

A high-throughput microfabricated platform for rapid quantification of metastatic potential.

Smiti Bhattacharya, Abora Ettela, Jonathan Haydak, Chad M Hobson, Alan Stern, Miran Yoo, Teng-Leong Chew, G Luca Gusella, Emily J Gallagher, James C Hone and 1 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

11 authors.

Smiti BhattacharyaBarbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-5965-571X
Abora EttelaDivision of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jonathan HaydakBarbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-9091-8987
Chad M HobsonAdvanced Imaging Center, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.ORCID 0000-0003-3033-5728
Alan SternBarbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-7772-642X
Miran YooBarbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-0031-1362
Teng-Leong ChewAdvanced Imaging Center, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.ORCID 0000-0002-3139-7560
G Luca GusellaBarbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Emily J GallagherDivision of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-7920-8474
James C HoneDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.ORCID 0000-0002-8084-3301
Evren U AzelogluBarbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-6137-109X

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
Prediction of Major Adverse Kidney Events and Recovery (Pred-MAKER) in COVID-19 PatientsR01DK118222 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Evren U. AZELOGLU · 2018 to 2026
$4.3M
Understanding how elevated triglycerides contribute to triple negative breast cancer growth and metastasisR37CA266853 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Emily Jane Gallagher · 2022 to 2026
$2.5M
Interdisciplinary Training in Systems and Developmental Biology and Birth DefectsT32HD075735 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JABS, ETHYLIN WANG · 2013 to 2022
$1.8M
Integrated AFM and Real-Time Confocal Microscope CoreS10RR027609 · NCRR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI COSTA, KEVIN D · 2010 to 2010
$469k
A model system to study mechanosensing in podocytesF31DK124135 · NIDDK · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BHATTACHARYA, SMITI · 2019 to 2020
$91k
Howard Hughes Medical InstituteNCI NIH HHS P30 CA196521NCI NIH HHS R37 CA266853NCRR NIH HHS S10 RR027609NICHD NIH HHS T32 HD075735NIDDK NIH HHS F31 DK124135NIDDK NIH HHS R01 DK118222
6 · The paper itself

Abstract

Assays that measure morphology, proliferation, motility, deformability, and migration are used to study the invasiveness of cancer cells. However, native invasive potential of cells may be hidden from these contextual metrics because they depend on culture conditions. We created a micropatterned chip that mimics the native environmental conditions, quantifies the invasive potential of tumor cells, and improves our understanding of the malignancy signatures. Unlike conventional assays, which rely on indirect measurements of metastatic potential, our method uses three-dimensional microchannels to measure the basal native invasiveness without chemoattractants or microfluidics. No change in cell death or proliferation is observed on our chips. Using six cancer cell lines, we show that our system is more sensitive than other motility-based assays, measures of nuclear deformability, or cell morphometrics. In addition to quantifying metastatic potential, our platform can distinguish between motility and invasiveness, help study molecular mechanisms of invasion, and screen for targeted therapeutics.

Indexed as

Cell MovementNeoplasm MetastasisCell Line, TumorCell ProliferationHigh-Throughput Screening AssaysHumansLab-On-A-Chip DevicesMicrotechnologyNeoplasm InvasivenessNeoplasms

Identifiers

PMID39151003
PMCPMC11328906

What Socratic 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 Socratic graph.