ArticleProceedings of the National Academy of Sciences of the United States of America2019
Infiltration of CD8
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.
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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.
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Who cites it
86 citing papers in PubMed, 140 citations in OpenAlex.
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- Distinct evolutionary patterns of tumour-immune escape and elimination determined by extracellular matrix architectures.Journal of the Royal Society, Interface · 2025Article
- Spatiotemporal dynamics of tumor-CAR T-cell interaction following local administration in solid cancers.PLoS computational biology · 2025Article
- Highly Adaptable Analysis Tools for Mapping Spatial Features of Cellular Aggregates in Tissues.Current protocols · 2025Article
- Statistical analysis of spatial patterns in tumor microenvironment images.Nature communications · 2025Article
- Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics.Nature communications · 2025Article
- Peri-tumoural lymphocyte neighbourhoods predict longer survival in pancreatic ductal adenocarcinoma.Frontiers in immunology · 2025Article
- Time-dependent diffusion MRI for noninvasive molecular subtype differentiation and biological correlation in breast cancer: emphasizing the emerging three-tier HER2 classification.Frontiers in oncology · 2025Article
- Understanding the interplay between extracellular matrix topology and tumor-immune interactions: Challenges and opportunities.Oncotarget · 2024Review
- Targeting CD93 on monocytes revitalizes antitumor immunity by enhancing the function and infiltration of CD8Journal for immunotherapy of cancer · 2024Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Infiltration of [Formula: see text] T lymphocytes into solid tumors is associated with good prognosis in various types of cancer, including triple-negative breast cancer (TNBC). However, the mechanisms underlying different infiltration levels are largely unknown. Here, we have characterized the spatial profile of [Formula: see text] T cells around tumor cell clusters (tightly connected tumor cells) in the core and margin regions in TNBC patient samples. We found that in some patients, the [Formula: see text] T cell density first decreases when moving in from the boundary of the tumor cell clusters and then rises again when approaching the center. To explain various infiltration profiles, we modeled the dynamics of T cell density via partial differential equations. We spatially modulated the diffusion/chemotactic coefficients of T cells (to mimic physical barriers) or introduced the localized secretion of a diffusing T cell chemorepellent. Combining the spatial-profile analysis and the modeling led to support for the second idea; i.e., there exists a possible chemorepellent inside tumor cell clusters, which prevents [Formula: see text] T cells from infiltrating into tumor cell clusters. This conclusion was consistent with an investigation into the properties of collagen fibers which suggested that variations in desmoplastic elements does not limit infiltration of [Formula: see text] T lymphocytes, as we did not observe significant correlations between the level of T cell infiltration and fiber properties. Our work provides evidence that [Formula: see text] T cells can cross typical fibrotic barriers and thus their infiltration into tumor clusters is governed by other mechanisms possibly involving a local repellent.
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Registered trials
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.