Evidence map›Paper›PMID 35094319›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Method to Isolate Dormant Cancer Cells from Heterogeneous Populations.

Julian A Preciado, Alptekin Aksan

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

2 authors at 1 institution in 1 country.

Julian A PreciadoMechanical Engineering Department, University of Minnesota, Minneapolis, MN, USA.
Alptekin AksanMechanical Engineering Department, University of Minnesota, Minneapolis, MN, USA. aaksan@umn.edu.
University of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer recurrence is responsible for a high percentage of cancer-related deaths. Primary tumor removal, chemotherapy, and radiotherapy often leave behind cancer cells that are clinically undetectable. Recent evidence has shown that subpopulations of these residual cancer cells enter into a prolonged dormant state, remaining quiescent for months to years, and eventually lead to metastases and relapse (Sosa et al. Nat Rev Cancer 14:611-622, 2014). Identifying the presence of and isolating these dormancy-capable cells (DCCs) from resected tumors or bodily fluids may therefore provide an opportunity to understand their biology and develop personalized treatments for patients at risk for relapse. Physical confinement in a stiff and porous 3D matrix, which inhibits proliferation, migration, and growth of the immobilized cells, has been shown to isolate DCC populations (Preciado et al. Technology 05:1-10, 2017; Reátegui et al. J Mater Chem B 2:7440-7448, 2014). Isolated DCCs can then be recovered from the gel and analyzed. Here we describe this immobilization method that can be used to isolate DCCs from heterogeneous cell populations that may also include dormancy-incapable cancer cells and host cells.

Indexed as

Neoplasm Recurrence, LocalDisease ProgressionHumansNeoplasm, ResidualCancer relapseCell immobilizationDormant cell isolationPhysical confinementSilica encapsulationSingle cell cancer dormancy

Identifiers

PMID35094319
OpenAlexW4210782487

What OpenQuestion holds

Textmetadata
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.