Evidence map›Paper›PMID 35069569›Full record

ArticleFrontiers in immunology2021

A Pan-Cancer Analysis of Tumor-Infiltrating B Cell Repertoires.

Katharine Yu, Akshay Ravoor, Núria Malats, Silvia Pineda, Marina Sirota

Abstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  9. Review
  10. Building Representation Learning Models for Antibody Comprehension.Cold Spring Harbor perspectives in biology · 2024
    Review
  11. Review
  12. Article
  13. Article
  14. B cells in tumor metastasis: friend or foe?International journal of biological sciences · 2023
    Review
  15. Article
  16. 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

5 authors.

Katharine YuBakar Computational Health Sciences Institute, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Akshay RavoorBakar Computational Health Sciences Institute, University of California, San Francisco (UCSF), San Francisco, CA, United States.
Núria MalatsGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain.
Silvia PinedaGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain.
Marina SirotaBakar Computational Health Sciences Institute, University of California, San Francisco (UCSF), San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-infiltrating B cells can play an important role in anti-tumor responses but their presence is not well understood. In this study, we extracted the B cell receptor repertoires from 9522 tumor and adjacent non-tumor samples across 28 tumor types in the Cancer Genome Atlas project and performed diversity and network analysis. We identified differences in diversity and network statistics across tumor types and subtypes and observed a trend towards increased clonality in primary tumors compared to adjacent non-tumor tissues. We also found significant associations between the repertoire features and mutation load, tumor stage, and age. Our V-gene usage analysis identified similar V-gene usage patterns in colorectal and endometrial cancers. Lastly, we evaluated the prognostic value of the repertoire features and identified significant associations with survival in seven tumor types. This study warrants further research into better understanding the role of tumor-infiltrating B cells across a wide range of tumor types.

Indexed as

Colorectal NeoplasmsEndometrial NeoplasmsImmunoglobulin Variable RegionB-LymphocytesDisease-Free SurvivalFemaleHumansLymphocytes, Tumor-InfiltratingMaleSurvival RateImmunoglobulin Variable RegionB cell repertoireimmune repertoireTCGAtumor infiltrationtumor microenvironment

Identifiers

PMID35069569
PMCPMC8767103

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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.