Evidence map›Paper›PMID 38195589›Full record

ArticleCell death & disease2024

Characterizing influence of rCHOP treatment on diffuse large B-cell lymphoma microenvironment through in vitro microfluidic spheroid model.

Matthew R Sullivan, Rachel P White, Dashnamoorthy Ravi, Ninad Kanetkar, Ilana Berger Fridman, Adam Ekenseair, Andrew M Evens, Tania Konry

Abstract read
In one paragraph

Article in Cell death & disease, 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. Article
  2. Article
  3. Review
  4. Review
  5. Goodbye flat lymphoma biology.FEBS letters · 2025
    Review
  6. Review
  7. 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

8 authors.

Matthew R SullivanDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, USA.
Rachel P WhiteDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, USA.
Dashnamoorthy RaviRutgers Cancer Institute, New Brunswick, NJ, USA.
Ninad KanetkarChemical Engineering Department, Northeastern University, Boston, MA, USA.
Ilana Berger FridmanDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, USA.
Adam EkenseairChemical Engineering Department, Northeastern University, Boston, MA, USA.
Andrew M EvensRutgers Cancer Institute, New Brunswick, NJ, USA.
Tania KonryDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, USA. T.Konry@Northeastern.edu.ORCID 0000-0001-8234-631X

Funding

Determining treatment sensitivity in B cell lymphoma by novel microfluidics-based NK cell immunogenicity platformR33CA223908 · NCI · NORTHEASTERN UNIVERSITY · PI EVENS, ANDREW M, HUANG, TONY JUN · 2018 to 2020
$1.2M
An integrated acoustofluidic droplet-sorting platform for classification of lymphocyte activity and functional phenotyping at single cell levelR01GM127714 · NIGMS · NORTHEASTERN UNIVERSITY · PI KONRY, TANIA TALI · 2018 to 2021
$1.2M
NCI NIH HHS R33 CA223908NIGMS NIH HHS R01 GM127714
6 · The paper itself

Abstract

For over two decades, Rituximab and CHOP combination treatment (rCHOP) has remained the standard treatment approach for diffuse large B-cell lymphoma (DLBCL). Despite numerous clinical trials exploring treatment alternatives, few options have shown any promise at further improving patient survival and recovery rates. A wave of new therapeutic approaches have recently been in development with the rise of immunotherapy for cancer, however, the cost of clinical trials is prohibitive of testing all promising approaches. Improved methods of early drug screening are essential for expediting the development of the therapeutic approaches most likely to help patients. Microfluidic devices provide a powerful tool for drug testing with enhanced biological relevance, along with multi-parameter data outputs. Here, we describe a hydrogel spheroid-based microfluidic model for screening lymphoma treatments. We utilized primary patient DLBCL cells in combination with NK cells and rCHOP treatment to determine the biological relevance of this approach. We observed cellular viability in response to treatment, rheological properties, and cell surface marker expression levels correlated well with expected in vivo characteristics. In addition, we explored secretory and transcriptomic changes in response to treatment. Our results showed complex changes in phenotype and transcriptomic response to treatment stimuli, including numerous metabolic and immunogenic changes. These findings support this model as an optimal platform for the comparative screening of novel treatments.

Indexed as

Lymphoma, Large B-Cell, DiffuseMicrofluidicsCombined Modality TherapyHumansImmunotherapyRheologyTumor Microenvironment

Identifiers

PMID38195589
PMCPMC10776622

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Registered trials

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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.