Evidence map›Paper›PMID 34580161›Full record

ArticleJournal for immunotherapy of cancer2021

Elevated T cell repertoire diversity is associated with progression of lung squamous cell premalignant lesions.

Asaf Maoz, Carter Merenstein, Yusuke Koga, Austin Potter, Adam C Gower, Gang Liu, Sherry Zhang, Hanqiao Liu, Christopher Stevenson, Avrum Spira and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Advances in Mapping Tumor Progression from Precancer Atlases.Cancer prevention research (Philadelphia, Pa.) · 2023
    Article
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

15 authors at 3 institutions in 2 countries.

Asaf Maoz *Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.ORCID 0000-0002-7502-3923
Carter Merenstein *Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.ORCID 0000-0002-7628-1828
Yusuke KogaDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Austin PotterDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Adam C GowerDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Gang LiuDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Sherry ZhangDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Hanqiao LiuDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Christopher StevensonJanssen Research and Development LLC, High Wycombe, UK.
Avrum SpiraDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Mary E ReidRoswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Joshua D CampbellDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Sarah A MazzilliDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Marc E LenburgDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
Jennifer BeaneDepartment of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA jbeane@bu.edu.ORCID 0000-0002-6699-2132
Boston University · USJanssen (United Kingdom) · GBRoswell Park Comprehensive Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe immune response to invasive carcinoma has been the focus of published work, but little is known about the adaptive immune response to bronchial premalignant lesions (PMLs), precursors of lung squamous cell carcinoma. This study was designed to characterize the T cell receptor (TCR) repertoire in PMLs and its association with clinical, pathological, and molecular features.

methodsEndobronchial biopsies (n=295) and brushings (n=137) from high-risk subjects (n=50), undergoing lung cancer screening at approximately 1-year intervals via autofluorescence bronchoscopy and CT, were profiled by RNA-seq. We applied the TCR Repertoire Utilities for Solid Tissue/Tumor tool to the RNA-seq data to identify TCR CDR3 sequences across all samples. In the biopsies, we measured the correlation of TCR diversity with previously derived immune-associated PML transcriptional signatures and PML outcome. We also quantified the spatial and temporal distribution of shared and clonally expanded TCRs. Using the biopsies and brushes, the ratio of private (ie, found in one patient only) and public (ie, found in two or more patients) TCRs was quantified, and the CDR3 sequences were compared with those found in curated databases with known antigen specificities.

resultsWe detected 39,303 unique TCR sequences across all samples. In PML biopsies, TCR diversity was negatively associated with a transcriptional signature of T cell mediated immune activation (p=4e-4) associated with PML outcome. Additionally, in lesions of the proliferative molecular subtype, TCR diversity was decreased in regressive versus progressive/persistent PMLs (p=0.045). Within each patient, TCRs were more likely to be shared between biopsies sampled at the same timepoint than biopsies sampled at the same anatomic location at different times. Clonally expanded TCRs, within a biopsied lesion, were more likely to be expanded at future time points than non-expanded clones. The majority of TCR sequences were found in a single sample, with only 3396 (8.6%) found in more than one sample and 1057 (2.7%) found in two or more patients (ie, public); however, when compared with a public database of CDR3 sequences, 4543 (11.6%) of TCRs were identified as public. TCRs with known antigen specificities were enriched among public TCRs (p<0.001).

conclusionsDecreased TCR diversity may reflect nascent immune responses that contribute to PML elimination. Further studies are needed to explore the potential for immunoprevention of PMLs.

Indexed as

Disease ProgressionFemaleHumansLung NeoplasmsMaleNeoplasms, Squamous CellT-Lymphocyteslung neoplasmst-lymphocytestranslational medical research

Identifiers

PMID34580161
PMCPMC8477334
OpenAlexW3204434485

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.