Evidence map›Paper›PMID 37759489›Full record

ArticleCells2023

Circulating Tumor Cell Subpopulations Predict Treatment Outcome in Pancreatic Ductal Adenocarcinoma (PDAC) Patients.

Ian M Freed, Anup Kasi, Oluwadamilola Fateru, Mengjia Hu, Phasin Gonzalez, Nyla Weatherington, Harsh Pathak, Stephen Hyter, Weijing Sun, Raed Al-Rajabi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 11 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

16 authors at 3 institutions in 1 country.

Ian M FreedDepartment of Chemistry, The University of Kansas, Lawrence, KS 66047, USA.ORCID 0000-0002-4909-3549
Anup KasiDivision of Medical Oncology, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Oluwadamilola FateruDepartment of Chemistry, The University of Kansas, Lawrence, KS 66047, USA.
Mengjia HuDepartment of Chemistry, The University of Kansas, Lawrence, KS 66047, USA.
Phasin GonzalezDepartment of Chemistry, The University of Kansas, Lawrence, KS 66047, USA.
Nyla WeatheringtonDepartment of Chemistry, The University of Kansas, Lawrence, KS 66047, USA.
Harsh PathakKansas Institute for Precision Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Stephen HyterKansas Institute for Precision Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Weijing SunDivision of Medical Oncology, University of Kansas Medical Center, Kansas City, KS 66160, USA.ORCID 0000-0001-6549-9605
Raed Al-RajabiDivision of Medical Oncology, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Joaquina BarandaDivision of Medical Oncology, University of Kansas Medical Center, Kansas City, KS 66160, USA.ORCID 0000-0002-0917-6307
Mateusz L HupertBioFluidica, Inc., San Diego, CA 92121, USA.
Prabhakar ChaliseDivision of Medical Oncology, University of Kansas Medical Center, Kansas City, KS 66160, USA.ORCID 0000-0001-5581-1220
Andrew K GodwinCenter of Bio-Modular Multiscale Systems for Precision Medicine (CBM2), The University of Kansas, Lawrence, KS 66047, USA.ORCID 0000-0002-3987-9580
Malgorzata A WitekDepartment of Chemistry, The University of Kansas, Lawrence, KS 66047, USA.
Steven A SoperDepartment of Chemistry, The University of Kansas, Lawrence, KS 66047, USA.
University of Kansas · USUniversity of Kansas Medical Center · USBioFluidica (United States) · US

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
Single-Molecule Processing: Detection and Identification of Single DNAs, RNAs, and Proteins using Immobilized Nanoscale Enzymatic Reactors (INERs) and Nanoscale ElectrophoresisP41EB020594 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Sunggook Park · 2015 to 2026
$15.2M
Increased Sensitivity of Minimal Residual Disease Monitoring using Peripheral Blood in Pediatric Patients with Acute Lymphoblastic LeukemiaR33CA235597 · NCI · UNIVERSITY OF KANSAS LAWRENCE · PI AUGUST, KEITH, SOPER, STEVEN ALLAN · 2019 to 2022
$906k
NCI NIH HHS P30 CA168524NCI NIH HHS R33 CA235597NIBIB NIH HHS P41 EB020594NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

There is a high clinical unmet need to improve outcomes for pancreatic ductal adenocarcinoma (PDAC) patients, either with the discovery of new therapies or biomarkers that can track response to treatment more efficiently than imaging. We report an innovative approach that will generate renewed interest in using circulating tumor cells (CTCs) to monitor treatment efficacy, which, in this case, used PDAC patients receiving an exploratory new therapy, poly ADP-ribose polymerase inhibitor (PARPi)-niraparib-as a case study. CTCs were enumerated from whole blood using a microfluidic approach that affinity captures epithelial and mesenchymal CTCs using anti-EpCAM and anti-FAPα monoclonal antibodies, respectively. These antibodies were poised on the surface of two separate microfluidic devices to discretely capture each subpopulation for interrogation. The isolated CTCs were enumerated using immunophenotyping to produce a numerical ratio consisting of the number of mesenchymal to epithelial CTCs (denoted "Φ"), which was used as an indicator of response to therapy, as determined using computed tomography (CT). A decreasing value of Φ during treatment was indicative of tumor response to the PARPi and was observed in 88% of the enrolled patients (n = 31). Changes in Φ during longitudinal testing were a better predictor of treatment response than the current standard CA19-9. We were able to differentiate between responders and non-responders using ΔΦ (

Indexed as

Carcinoma, Pancreatic DuctalNeoplastic Cells, CirculatingPancreatic NeoplasmsCA-19-9 AntigenHumansTreatment OutcomeCA-19-9 Antigencirculating tumor cellsmicrofluidicsnext-generation sequencingpancreatic cancerPARP inhibitors

Identifiers

PMID37759489
PMCPMC10526802
OpenAlexW4386746433

What OpenQuestion holds

Textmetadata
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.