Evidence map›Paper›PMID 30674677›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Optofluidic real-time cell sorter for longitudinal CTC studies in mouse models of cancer.

Bashar Hamza, Sheng Rong Ng, Sanjay M Prakadan, Francisco Feijó Delgado, Christopher R Chin, Emily M King, Lucy F Yang, Shawn M Davidson, Kelsey L DeGouveia, Nathan Cermak and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 61 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

24 authors at 3 institutions in 1 country.

Bashar HamzaDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139.
Sheng Rong NgDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Sanjay M PrakadanDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Francisco Feijó DelgadoDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Christopher R ChinDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Emily M KingDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Lucy F YangDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Shawn M DavidsonDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Kelsey L DeGouveiaDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Nathan CermakDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Andrew W NaviaDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Peter S WinterDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Riley S DrakeDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Tuomas TammelaDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Carman Man-Chung LiDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Thales PapagiannakopoulosDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Alejandro J GuptaDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Josephine Shaw BagnallDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Scott M KnudsenDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Matthew G Vander HeidenDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
Steven C WassermanDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Tyler JacksDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142; tjacks@mit.edu shalek@mit.edu srm@mit.edu.
Alex K ShalekDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142; tjacks@mit.edu shalek@mit.edu srm@mit.edu.ORCID 0000-0001-5670-8778
Scott R ManalisDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142; tjacks@mit.edu shalek@mit.edu srm@mit.edu.
Massachusetts Institute of Technology · USBroad Institute · USWentworth Institute of Technology · US

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
Role of Negative Costimulation in Regulation of AutoimmunityP01AI039671 · NIAID · YALE UNIVERSITY · PI David A. Hafler · 1996 to 2026
$51.7M
Systems investigation of vaccine responses in B cell depleted autoimmune patientsU19AI089992 · NIAID · YALE UNIVERSITY · PI David A. Hafler, RUTH R MONTGOMERY · 2010 to 2026
$50.4M
PRE-DOCTORAL TRAINING IN THE BIOLOGICAL SCIENCEST32GM007287 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BELL, STEPHEN P., KEATING, AMY E · 1985 to 2019
$40.8M
Center for Cell CircuitsRM1HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK, HACOHEN, NIR · 2016 to 2020
$14.9M
Quantitative and functional characterization of therapeutic resistance in cancerU54CA217377 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2017 to 2021
$10.2M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
A systems biology approach to fingerprint HIV immune defense in Elite ControllersR01HL134539 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI YU, XU · 2016 to 2019
$3.3M
(PQB6)Elucidating metastasis by real-time monitoring and tagging of CTCs in GEMMsR01CA184956 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JACKS, TYLER E., MANALIS, SCOTT R · 2014 to 2017
$2.4M
"Bottom - Up" Profiling of Interacting Cellular SystemsDP2GM119419 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SHALEK, ALEX K · 2015 to 2015
$2.3M
An integrated multiplexed genomic assay for low input clinical samples1U24AI118672 · NIAID · BROAD INSTITUTE, INC. · PI SHALEK, ALEX K · 2015 to 2019
$2.0M
Assaying GBM growth and therapy response in single cells and tumorspheres (PQ17)R01CA170592 · NCI · DANA-FARBER CANCER INST · PI LIGON, KEITH LLOYD, MANALIS, SCOTT R · 2012 to 2015
$2.0M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA014051NCI NIH HHS R01 CA170592NCI NIH HHS R01 CA184956NCI NIH HHS R33 CA202820NCI NIH HHS U54 CA217377NHGRI NIH HHS RM1 HG006193NHLBI NIH HHS R01 HL134539NIAID NIH HHS P01 AI039671NIAID NIH HHS U19 AI089992NIAID NIH HHS U24 AI118672NIGMS NIH HHS DP2 GM119419NIGMS NIH HHS T32 GM007287NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) play a fundamental role in cancer progression. However, in mice, limited blood volume and the rarity of CTCs in the bloodstream preclude longitudinal, in-depth studies of these cells using existing liquid biopsy techniques. Here, we present an optofluidic system that continuously collects fluorescently labeled CTCs from a genetically engineered mouse model (GEMM) for several hours per day over multiple days or weeks. The system is based on a microfluidic cell sorting chip connected serially to an unanesthetized mouse via an implanted arteriovenous shunt. Pneumatically controlled microfluidic valves capture CTCs as they flow through the device, and CTC-depleted blood is returned back to the mouse via the shunt. To demonstrate the utility of our system, we profile CTCs isolated longitudinally from animals over 4 days of treatment with the BET inhibitor JQ1 using single-cell RNA sequencing (scRNA-Seq) and show that our approach eliminates potential biases driven by intermouse heterogeneity that can occur when CTCs are collected across different mice. The CTC isolation and sorting technology presented here provides a research tool to help reveal details of how CTCs evolve over time, allowing studies to credential changes in CTCs as biomarkers of drug response and facilitating future studies to understand the role of CTCs in metastasis.

Indexed as

Flow CytometryMicrofluidic Analytical TechniquesMicrofluidicsAnimalsBiomarkers, TumorCell Line, TumorDisease Models, AnimalGene Expression ProfilingMiceNeoplasmsNeoplastic Cells, CirculatingSingle-Cell AnalysisTranscriptomeBiomarkers, Tumorcirculating tumor cellsGEMMmetastasismicrofluidicsingle-cell RNA-Seq

Identifiers

PMID30674677
PMCPMC6369805
OpenAlexW2911342064

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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.