Evidence map›Paper›PMID 38077403›Full record

ArticleFrontiers in immunology2023

Antibody landscape of C57BL/6 mice cured of B78 melanoma via a combined radiation and immunocytokine immunotherapy regimen.

Anna Hoefges, Sean J McIlwain, Amy K Erbe, Nicholas Mathers, Angie Xu, Drew Melby, Kaitlin Tetreault, Trang Le, Kyungmann Kim, Richard S Pinapati and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 1 institution in 1 country.

Anna HoefgesDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Sean J McIlwainDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States.
Amy K ErbeDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Nicholas MathersDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Angie XuDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Drew MelbyDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Kaitlin TetreaultDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States.
Trang LeDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States.
Kyungmann KimDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States.
Richard S PinapatiNimble Therapeutics, Inc., Madison, WI, United States.
Bradley H GarciaNimble Therapeutics, Inc., Madison, WI, United States.
Jigar PatelNimble Therapeutics, Inc., Madison, WI, United States.
Mackenzie HeckDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Arika S FeilsDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Noah TsarovskyDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Jacquelyn Ann HankDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Zachary Scott MorrisDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Irene M OngDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States.
Paul Mark SondelDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Wisconsin Infant Study Cohort (WISC)U19AI104317 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTINE Marie SEROOGY · 2013 to 2026
$22.5M
Understanding and Overcoming Resistance to Immunotherapies in Childhood CancersU54CA232568 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI MACKALL, CRYSTAL, MARIS, JOHN M · 2018 to 2022
$13.1M
Radionuclide Production and Radiochemistry Core Description CoreP01CA250972 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI WEICHERT, JAMEY P · 2020 to 2024
$12.5M
Institutional Career Development CoreKL2TR002374 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Bo Liu, Marin Leigh Schweizer · 2017 to 2026
$9.7M
Enhancing Antibody-directed Innate Immunity to Improve Cancer OutcomeR35CA197078 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI SONDEL, PAUL M · 2015 to 2021
$6.4M
Immunomodulation of the Tumor Microenvironment with Molecular Targeted Radiotherapy to Facilitate an Adaptive Anti-Tumor Immune Response to Combined Modality ImmunotherapiesU01CA233102 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI MORRIS, ZACHARY SCOTT, WEICHERT, JAMEY P · 2018 to 2022
$4.0M
Combining Radiation and Tumor-specific AntIbody Therapies to Elicit in Situ Tumor VaccinationDP5OD024576 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI MORRIS, ZACHARY SCOTT · 2017 to 2021
$1.9M
NCATS NIH HHS KL2 TR002374NCATS NIH HHS UL1 TR002373NCI NIH HHS P01 CA250972NCI NIH HHS P30 CA014520NCI NIH HHS R35 CA197078NCI NIH HHS U01 CA233102NCI NIH HHS U54 CA232568NIAID NIH HHS U19 AI104317NIH HHS DP5 OD024576
6 · The paper itself

Abstract

Sera of immune mice that were previously cured of their melanoma through a combined radiation and immunocytokine immunotherapy regimen consisting of 12 Gy of external beam radiation and the intratumoral administration of an immunocytokine (anti-GD2 mAb coupled to IL-2) with long-term immunological memory showed strong antibody-binding against melanoma tumor cell lines via flow cytometric analysis. Using a high-density whole-proteome peptide array (of 6.090.593 unique peptides), we assessed potential protein-targets for antibodies found in immune sera. Sera from 6 of these cured mice were analyzed with this high-density, whole-proteome peptide array to determine specific antibody-binding sites and their linear peptide sequence. We identified thousands of peptides that were targeted by these 6 mice and exhibited strong antibody binding only by immune (after successful cure and rechallenge), not naïve (before tumor implantation) sera and developed a robust method to detect these differentially targeted peptides. Confirmatory studies were done to validate these results using 2 separate systems, a peptide ELISA and a smaller scale peptide array utilizing a slightly different technology. To the best of our knowledge, this is the first study of the full set of germline encoded linear peptide-based proteome epitopes that are recognized by immune sera from mice cured of cancer via radio-immunotherapy. We furthermore found that although the generation of B-cell repertoire in immune development is vastly variable, and numerous epitopes are identified uniquely by immune serum from each of these 6 immune mice evaluated, there are still several epitopes and proteins that are commonly recognized by at least half of the mice studied. This suggests that every mouse has a unique set of antibodies produced in response to the curative therapy, creating an individual "fingerprint." Additionally, certain epitopes and proteins stand out as more immunogenic, as they are recognized by multiple mice in the immune group.

Indexed as

MelanomaAnimalsEpitopesImmune SeraImmunotherapyMiceMice, Inbred C57BLPeptidesProteomeEpitopesImmune SeraPeptidesProteomeantibodycancerhigh-density peptide arrayin situ vaccinemelanomaproteomeradio-immunotherapy

Identifiers

PMID38077403
PMCPMC10701281
OpenAlexW4388931416

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.