Evidence map›Paper›PMID 35605261›Full record

ArticleCancer immunology research2022

Comprehensive Characterizations of Immune Receptor Repertoire in Tumors and Cancer Immunotherapy Studies.

Li Song, Zhangyi Ouyang, David Cohen, Yang Cao, Jennifer Altreuter, Gali Bai, Xihao Hu, Kenneth J Livak, Heng Li, Ming Tang and 2 more

Abstract readComment
In one paragraph

Article in Cancer immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Decoding B-cell Signatures of Complete Pathologic Response to Perioperative Chemoimmunotherapy in Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. A pan-cancer gamma delta T cell repertoire.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Li Song *Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-0180-7426
Zhangyi Ouyang *Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-9905-9832
David Cohen *Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-9280-7148
Yang Cao *Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-1925-2123
Jennifer AltreuterDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-6545-6496
Gali BaiDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-4488-5499
Xihao HuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-3517-6351
Kenneth J LivakDepartment of Medical, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-9105-5856
Heng LiDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-4874-2874
Ming TangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-7739-8913
Bo LiLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-8617-900X
X Shirley LiuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-4736-7339

Funding

Cancer Immunologic Data Commons (CIDC) Supplement RequestU24CA224316 · NCI · DANA-FARBER CANCER INST · PI CERAMI, ETHAN, MICHOR, FRANZISKA · 2017 to 2022
$6.8M
Tracking Peripheral T-Cell Repertoire Changes for Preoperative and Early Ovarian Cancer DiagnosisR01CA258524 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Jayanthi S Lea, Bo Li · 2022 to 2026
$3.8M
Antigen-independent prediction and biomarker identification of cancer-specific T cellsR01CA245318 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI LI, BO · 2020 to 2024
$1.9M
Bioinformatics Technology to Characterize Tumor Infiltrating Immune RepertoiresU01CA226196 · NCI · DANA-FARBER CANCER INST · PI LI, HENG · 2018 to 2020
$1.3M
NCI NIH HHS R01 CA245318NCI NIH HHS R01 CA258524NCI NIH HHS U01 CA226196NCI NIH HHS U24 CA224316
6 · The paper itself

Abstract

We applied our computational algorithm TRUST4 to assemble immune receptor (T-cell receptor/B-cell receptor) repertoires from approximately 12,000 RNA sequencing samples from The Cancer Genome Atlas and seven immunotherapy studies. From over 35 million assembled complete complementary-determining region 3 sequences, we observed that the expression of CCL5 and MZB1 is the most positively correlated genes with T-cell clonal expansion and B-cell clonal expansion, respectively. We analyzed amino acid evolution during B-cell receptor somatic hypermutation and identified tyrosine as the preferred residue. We found that IgG1+IgG3 antibodies together with FcRn were associated with complement-dependent cytotoxicity and antibody-dependent cellular cytotoxicity or phagocytosis. In addition to B-cell infiltration, we discovered that B-cell clonal expansion and IgG1+IgG3 antibodies are also correlated with better patient outcomes. Finally, we created a website, VisualizIRR, for users to interactively explore and visualize the immune repertoires in this study. See related Spotlight by Liu and Han, p. 786.

Indexed as

NeoplasmsReceptors, Antigen, T-CellHumansImmunoglobulin GImmunologic FactorsImmunotherapyReceptors, Antigen, B-CellReceptors, ImmunologicImmunoglobulin GImmunologic FactorsReceptors, Antigen, B-CellReceptors, Antigen, T-CellReceptors, Immunologic

Identifiers

PMID35605261
PMCPMC9299271

What OpenQuestion holds

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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.