Evidence map›Paper›PMID 34172517›Full record

ArticleJournal for immunotherapy of cancer2021

Identification and validation of expressed HLA-binding breast cancer neoepitopes for potential use in individualized cancer therapy.

Hannah Reimann, Andrew Nguyen, J Zachary Sanborn, Charles J Vaske, Stephen C Benz, Kayvan Niazi, Shahrooz Rabizadeh, Patricia Spilman, Andreas Mackensen, Matthias Ruebner and 13 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Tumor-Derived Antigenic Peptides as Potential Cancer Vaccines.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. 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

23 authors at 4 institutions in 3 countries.

Hannah ReimannDepartment of Internal Medicine 5, Hematology/Oncology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Andrew NguyenNantHealth, Inc, Santa Cruz, California, USA.
J Zachary SanbornNantHealth, Inc, Santa Cruz, California, USA.
Charles J VaskeImmunityBio, Inc, Culver City, California, USA.
Stephen C BenzNantHealth, Inc, Santa Cruz, California, USA.
Kayvan NiaziImmunityBio, Inc, Culver City, California, USA.
Shahrooz RabizadehImmunityBio, Inc, Culver City, California, USA.
Patricia SpilmanImmunityBio, Inc, Culver City, California, USA patricia.spilman@immunitybio.com.ORCID 0000-0003-2626-6475
Andreas MackensenDepartment of Internal Medicine 5, Hematology/Oncology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Matthias RuebnerDepartment of Gynecology and Obstetrics, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Alexander HeinDepartment of Gynecology and Obstetrics, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Matthias W BeckmannDepartment of Gynecology and Obstetrics, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Edith D van der MeijdenDepartment of Internal Medicine 5, Hematology/Oncology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Judith BausenweinDepartment of Internal Medicine 5, Hematology/Oncology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Sascha KretschmannDepartment of Internal Medicine 5, Hematology/Oncology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Marieke GriffioenDepartment of Hematology, Leiden University Medical Center, Leiden, The Netherlands.
Jeffrey SchlomLaboratory of Tumor Immunology and Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
James L GulleyGenitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-6569-2912
Karin L LeeLaboratory of Tumor Immunology and Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Duane H HamiltonLaboratory of Tumor Immunology and Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Patrick Soon-ShiongImmunityBio, Inc, Culver City, California, USA.
Peter A FaschingDepartment of Gynecology and Obstetrics, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Anita N KremerDepartment of Internal Medicine 5, Hematology/Oncology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEImmunityBio (United States) · USNational Institutes of Health · USLeiden University Medical Center · NL

Funding

Cancer Therapy Clinical Trials Using Novel Recombinant VaccinesZIABC010666 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GULLEY, JAMES L. · 2009 to 2025
$22.4M
Human T Cell Responses to Tumor Antigens for Cancer Vaccine DevelopmentZIABC010598 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SCHLOM, JEFFREY · 2009 to 2025
$19.3M
Clinical trials employing cancer vaccine combination therapiesZIABC010945 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GULLEY, JAMES L. · 2009 to 2022
$9.6M
6 · The paper itself

Abstract

backgroundTherapeutic regimens designed to augment the immunological response of a patient with breast cancer (BC) to tumor tissue are critically informed by tumor mutational burden and the antigenicity of expressed neoepitopes. Herein we describe a neoepitope and cognate neoepitope-reactive T-cell identification and validation program that supports the development of next-generation immunotherapies.

methodsUsing GPS Cancer, NantOmics research, and The Cancer Genome Atlas databases, we developed a novel bioinformatic-based approach which assesses mutational load, neoepitope expression, human leukocyte antigen (HLA)-binding prediction, and in vitro confirmation of T-cell recognition to preferentially identify targetable neoepitopes. This program was validated by application to a BC cell line and confirmed using tumor biopsies from two patients with BC enrolled in the Tumor-Infiltrating Lymphocytes and Genomics (TILGen) study.

resultsThe antigenicity and HLA-A2 restriction of the BC cell line predicted neoepitopes were determined by reactivity of T cells from HLA-A2-expressing healthy donors. For the TILGen subjects, tumor-infiltrating lymphocytes (TILs) recognized the predicted neoepitopes both as peptides and on retroviral expression in HLA-matched Epstein-Barr virus-lymphoblastoid cell line and BC cell line MCF-7 cells; PCR clonotyping revealed the presence of T cells in the periphery with T-cell receptors for the predicted neoepitopes. These high-avidity immune responses were polyclonal, mutation-specific and restricted to either HLA class I or II. Interestingly, we observed the persistence and expansion of polyclonal T-cell responses following neoadjuvant chemotherapy.

conclusionsWe demonstrate our neoepitope prediction program allows for the successful identification of neoepitopes targeted by TILs in patients with BC, providing a means to identify tumor-specific immunogenic targets for individualized treatment, including vaccines or adoptively transferred cellular therapies.

Indexed as

Antigens, NeoplasmBreast NeoplasmsFemaleHistocompatibility Antigens Class IHumansImmunotherapyAntigens, NeoplasmHistocompatibility Antigens Class Iantigensbreast neoplasmsneoplasm

Identifiers

PMID34172517
PMCPMC8237736
OpenAlexW3176500289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.