Evidence map›Paper›PMID 30150207›Full record

ArticleBlood2018

A cloning and expression system to probe T-cell receptor specificity and assess functional avidity to neoantigens.

Zhuting Hu, Annabelle J Anandappa, Jing Sun, Jintaek Kim, Donna E Leet, David J Bozym, Christina Chen, Louise Williams, Sachet A Shukla, Wandi Zhang and 16 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.2field-weighted citation impact, top 6% 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

46 citing papers in PubMed, 59 citations in OpenAlex.

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  13. Single-Cell Analysis in Immuno-Oncology.International journal of molecular sciences · 2023
    Review
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  17. Improved T-cell Immunity Following Neoadjuvant Chemotherapy in Ovarian Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 6 institutions in 2 countries.

Zhuting HuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Annabelle J AnandappaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Jing SunDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Jintaek KimDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Donna E LeetDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
David J BozymDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Christina ChenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Louise WilliamsBroad Institute of MIT and Harvard, Cambridge, MA.
Sachet A ShuklaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Wandi ZhangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Diana TabbaaBroad Institute of MIT and Harvard, Cambridge, MA.
Scott SteelmanBroad Institute of MIT and Harvard, Cambridge, MA.
Oriol OliveDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Kenneth J LivakTranslational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA.
Hiroyuki KishiDepartment of Immunology, University of Toyama, Toyama, Japan.
Atsushi MuraguchiDepartment of Immunology, University of Toyama, Toyama, Japan.
Indira GuleriaDepartment of Pathology, Brigham and Women's Hospital, Boston, MA.
Jonathan StevensDepartment of Pathology, Brigham and Women's Hospital, Boston, MA.
William J LaneHarvard Medical School, Boston, MA.
Ute E BurkhardtDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Edward F FritschDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Donna NeubergDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA.
Patrick A OttDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Derin B KeskinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Nir HacohenHarvard Medical School, Boston, MA.
Catherine J WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Dana-Farber Cancer Institute · USBrigham and Women's Hospital · USBroad Institute · USUniversity of Toyama · JPHarvard University · USMassachusetts General Hospital · US

Funding

Personal tumor neoantigens for immunity against chronic lymphocytic leukemiaR01CA155010 · NCI · DANA-FARBER CANCER INST · PI Catherine Ju-Ying Wu · 2011 to 2026
$9.6M
Cancer Immunology Training GrantT32CA207021 · NCI · DANA-FARBER CANCER INST · PI WUCHERPFENNIG, KAI W · 2016 to 2020
$2.4M
Post-transplant vaccines to enhance graft-versus-leukemia responsesR01HL103532 · NHLBI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2010 to 2013
$1.7M
Immunogenomic analytical approaches for research and clinical applicationsR50CA211482 · NCI · DANA-FARBER CANCER INST · PI SHUKLA, SACHET ASHOK · 2016 to 2020
$1.3M
Single-cell analysis of tumor-microenvironment interactions in follicular lymphomaR21CA220147 · NCI · HARVARD MEDICAL SCHOOL · PI KHARCHENKO, PETER V, WU, CATHERINE JU-YING · 2017 to 2019
$424k
Physical detection of HLA-C binding peptides to identify and predict immunogenic personal neoepitopes for improving cancer vaccinesR21CA216772 · NCI · DANA-FARBER CANCER INST · PI KESKIN, DERIN B · 2018 to 2019
$420k
Howard Hughes Medical InstituteNCI NIH HHS R01 CA155010NCI NIH HHS R21 CA216772NCI NIH HHS R21 CA220147NCI NIH HHS R50 CA211482NCI NIH HHS T32 CA207021NHLBI NIH HHS R01 HL103532
6 · The paper itself

Abstract

Recent studies have highlighted the promise of targeting tumor neoantigens to generate potent antitumor immune responses and provide strong motivation for improving our understanding of antigen-T-cell receptor (TCR) interactions. Advances in single-cell sequencing technologies have opened the door for detailed investigation of the TCR repertoire, providing paired information from TCRα and TCRβ, which together determine specificity. However, a need remains for efficient methods to assess the specificity of discovered TCRs. We developed a streamlined approach for matching TCR sequences with cognate antigen through on-demand cloning and expression of TCRs and screening against candidate antigens. Here, we first demonstrate the system's capacity to identify viral-antigen-specific TCRs and compare the functional avidity of TCRs specific for a given antigen target. We then apply this system to identify neoantigen-specific TCR sequences from patients with melanoma treated with personalized neoantigen vaccines and characterize functional avidity of neoantigen-specific TCRs. Furthermore, we use a neoantigen-prediction pipeline to show that an insertion-deletion mutation in a putative chronic lymphocytic leukemia (CLL) driver gives rise to an immunogenic neoantigen mut-

Indexed as

T-Cell Antigen Receptor SpecificityAntigens, NeoplasmCancer VaccinesCells, CulturedCloning, MolecularHEK293 CellsHumansJurkat CellsLeukemia, Lymphocytic, Chronic, B-CellMelanomaReceptors, Antigen, T-CellAntigens, NeoplasmCancer VaccinesReceptors, Antigen, T-Cell

Identifiers

PMID30150207
PMCPMC6213317
OpenAlexW2889291705

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.