Evidence map›Paper›PMID 37949675›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Transport Barriers Influence the Activation of Anti-Tumor Immunity: A Systems Biology Analysis.

Mohammad R Nikmaneshi, James W Baish, Hengbo Zhou, Timothy P Padera, Lance L Munn

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Physiologically based pharmacokinetic model for CAR-T cell delivery and efficacy in solid tumors.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

5 authors at 2 institutions in 1 country.

Mohammad R NikmaneshiDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
James W BaishBiomedical Engineering, Bucknell University, Lewisburg, PA, 17837, USA.
Hengbo ZhouDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Timothy P PaderaDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Lance L MunnDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.ORCID 0000-0003-0698-7232
Harvard University · USBucknell University · US

Funding

Targeting physical stress-driven mechanisms to overcome glioblastoma treatment resistanceU01CA261842 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI JAIN, RAKESH K., MUNN, LANCE L. · 2021 to 2025
$3.1M
Systems biology of lymphatic transportR01HL128168 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MUNN, LANCE L., PADERA, TIMOTHY P · 2015 to 2019
$2.9M
Targeting lymph node metastases to prevent cancer progressionR01CA214913 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PADERA, TIMOTHY P · 2017 to 2022
$2.0M
Targeting lymph node metastases to block cancer progressionR01CA284372 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TIMOTHY P PADERA · 2023 to 2026
$2.0M
Systems Biology of Antigen and T-Cell Transport in Cancer ImmunotherapyR01CA284603 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Lance L. Munn, TIMOTHY P PADERA · 2023 to 2026
$1.9M
Reversing aging-induced lymphatic dysfunction to improve immune functionR21AG072205 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI PADERA, TIMOTHY P · 2022 to 2023
$458k
A mechanistic dissection of the role of Eya3 in breast cancer metastasisK00CA234940 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ZHOU, HENGBO · 2020 to 2023
$405k
NCI NIH HHS K00 CA234940NCI NIH HHS R01CA2044949NCI NIH HHS R01 CA214913NCI NIH HHS R01CA214913NCI NIH HHS R01 CA284372NCI NIH HHS R01CA284372 (TPP)NCI NIH HHS R01 CA284603NCI NIH HHS R01CA284603NCI NIH HHS U01 CA261842NCI NIH HHS U01CA261842 (LLM)NHLBI NIH HHS R01 HL128168NHLBI NIH HHS R01HL128168NIA NIH HHS R21 AG072205NIA NIH HHS R21AG072205
6 · The paper itself

Abstract

Effective anti-cancer immune responses require activation of one or more naïve T cells. If the correct naïve T cell encounters its cognate antigen presented by an antigen presenting cell, then the T cell can activate and proliferate. Here, mathematical modeling is used to explore the possibility that immune activation in lymph nodes is a rate-limiting step in anti-cancer immunity and can affect response rates to immune checkpoint therapy. The model provides a mechanistic framework for optimizing cancer immunotherapy and developing testable solutions to unleash anti-tumor immune responses for more patients with cancer. The results show that antigen production rate and trafficking of naïve T cells into the lymph nodes are key parameters and that treatments designed to enhance tumor antigen production can improve immune checkpoint therapies. The model underscores the potential of radiation therapy in augmenting tumor immunogenicity and neoantigen production for improved ICB therapy, while emphasizing the need for careful consideration in cases where antigen levels are already sufficient to avoid compromising the immune response.

Indexed as

NeoplasmsAntigens, NeoplasmHumansImmunotherapyT-LymphocytesAntigens, Neoplasmanti-tumor immunityimmune activationradiotherapyT cell traffickingtumor-induced antigen

Identifiers

PMID37949675
PMCPMC10754116
OpenAlexW4388582583

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.