Evidence map›Paper›PMID 37081897›Full record

ReviewFrontiers in immunology2023

Opportunities and challenges to engineer 3D models of tumor-adaptive immune interactions.

Rahul M Visalakshan, Mary K Lowrey, Mauricio G C Sousa, Haylie R Helms, Abrar Samiea, Carolyn E Schutt, Josh M Moreau, Luiz E Bertassoni

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  7. 3D Bioprinting Strategies in Autoimmune Disease Models.International journal of molecular sciences · 2025
    Review
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  9. Review
  10. Article
  11. Review
  12. Article
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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

8 authors.

Rahul M VisalakshanKnight Cancer Precision Biofabrication Hub, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States.
Mary K LowreyCancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, United States.
Mauricio G C SousaKnight Cancer Precision Biofabrication Hub, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States.
Haylie R HelmsKnight Cancer Precision Biofabrication Hub, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States.
Abrar SamieaCancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, United States.
Carolyn E SchuttCancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, United States.
Josh M MoreauCancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, United States.
Luiz E BertassoniKnight Cancer Precision Biofabrication Hub, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States.

Funding

Microengineering vascularized and innervated bone-like scaffolds as an alternative to autologous bone graftsR01DE029553 · NIDCR · OREGON HEALTH & SCIENCE UNIVERSITY · PI BERTASSONI, LUIZ EDUARDO · 2021 to 2025
$3.0M
Microengineering the Dental Pulp Vascular Microenvironment_Diversity SupplementR01DE026170 · NIDCR · OREGON HEALTH & SCIENCE UNIVERSITY · PI BERTASSONI, LUIZ EDUARDO · 2016 to 2020
$2.5M
PORT (Portland Oral health Research Training)T90DE030859 · NIDCR · OREGON HEALTH & SCIENCE UNIVERSITY · PI WU, HUI · 2021 to 2025
$2.1M
PORT (Portland Oral health Research Training)R90DE031533 · NIDCR · OREGON HEALTH & SCIENCE UNIVERSITY · PI WU, HUI · 2021 to 2025
$821k
An organ-on-a-chip model system to study prostate cancer metastasis into vascularized boneR21CA263860 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BERTASSONI, LUIZ EDUARDO, MORAN, AMY E · 2022 to 2023
$392k
NCI NIH HHS R21 CA263860NIDCR NIH HHS R01 DE026170NIDCR NIH HHS R01 DE029553NIDCR NIH HHS R90 DE031533NIDCR NIH HHS T90 DE030859
6 · The paper itself

Abstract

Augmenting adaptive immunity is a critical goal for developing next-generation cancer therapies. T and B cells infiltrating the tumor dramatically influence cancer progression through complex interactions with the local microenvironment. Cancer cells evade and limit these immune responses by hijacking normal immunologic pathways. Current experimental models using conventional primary cells, cell lines, or animals have limitations for studying cancer-immune interactions directly relevant to human biology and clinical translation. Therefore, engineering methods to emulate such interplay at local and systemic levels are crucial to expedite the development of better therapies and diagnostic tools. In this review, we discuss the challenges, recent advances, and future directions toward engineering the tumor-immune microenvironment (TME), including key elements of adaptive immunity. We first offer an overview of the recent research that has advanced our understanding of the role of the adaptive immune system in the tumor microenvironment. Next, we discuss recent developments in 3D

Indexed as

NeoplasmsAnimalsHumansTumor Microenvironment3D in vitro modelsbioprintingcancer adaptive immunityorganoidsorgans on a chip

Identifiers

PMID37081897
PMCPMC10110941

What OpenQuestion holds

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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.