Cited by 367Immunotherapy and Immune ResponsesCancer Immunotherapy and BiomarkersMonoclonal and Polyclonal Antibodies Research

Targeting a neoantigen derived from a common TP53 mutation

Open access
Hsiue, Emily Han-Chung, Wright, Katharine M., Douglass, Jacqueline, Hwang, Michael S., Mog, Brian J., Pearlman, Alexander H., Paul, Suman, DiNapoli, Sarah R. +17 more·2021·Science

Abstract

Turning a tumor suppressor into a target: Tumor-suppressor genes such as TP53 (tumor protein P53) play key roles in the pathogenesis of cancer but, unfortunately, they are difficult to target because they do not create an overactive protein that can be inhibited with a drug. Hsiue et al. discovered a way to target a cancer-associated mutant form of the p53 protein using the body's own immune system (see the Perspective by Weidanz). The authors identified a distinct fragment of this mutant protein, characterized the structural basis for its presentation to T cells, and designed a bispecific antibody to stimulate T cell killing of p53-mutant cancer cells. Science , this issue p. eabc8697 ; see also p. 996

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.abc8697

Cites

84 of 84 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Zhou and co-workers generated a single-chain mutp53-based bispecific antibody that recognizes a neoantigen derived from the p53 R175H hot-spot mutant and the TCR-CD3 complex.

    “In 2021, Zhou and co-workers generated a single-chain mutp53-based bispecific antibody, compound (261), that can recognize a neoantigen derived from the p53 (R175H) hot-spot mutant and the TCR-CD3 complex.”
  • The bispecific antibody selectively redirects T cells to recognize cancer cells presenting the mutant peptide and exhibits selective cytotoxicity against p53 R175H-expressing cancer cells.

    “As a consequence, the bispecific antibody can selectively redirect T cells to recognize cancer cells presenting the mutant peptide and exhibited selective cytotoxicity against p53 (R175H)-expressing cancer cells”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Hsiue, E. H.-C., Wright, K. M., Douglass, J., Hwang, M. S., Mog, B. J., Pearlman, A. H., Paul, S., DiNapoli, S. R., Konig, M. F., Wang, Q., Schaefer, A., Miller, M. S., Skora, A. D., Azurmendi, P. A., Murphy, M. B., Liu, Q., Watson, E., Li, Y., Pardoll, D. M., Bettegowda, C., Papadopoulos, N., Kinzler, K. W., Vogelstein, B., Gabelli, S. B., & Zhou, S.
Affiliations
  • Howard Hughes Medical Institute (US)
  • Cytiva, Marlborough, MA 01752, USA.
  • Johns Hopkins University (US)
Corresponding author
  • Hsiue, Emily Han-Chung
  • Wright, Katharine M.
  • Douglass, Jacqueline
  • Vogelstein, Bert
  • Gabelli, Sandra B.
  • Zhou, Shibin
Venue
Science
Published
2021-03-05
Volume
371
Issue
6533
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3134236823
Cited by
367
References
84
Citations by year
2026: 55 · 2025: 64 · 2024: 59 · 2023: 65 · 2022: 74 · 2021: 50
FWCI
23.18
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (T32 GM73009, 5T32 CA009071-38, T32 AR048522)
  • Howard Hughes Medical Institute
  • National Cancer Institute (R37 CA230400, P30 CA006973)
  • Commonwealth Fund
  • Lustgarten Foundation
  • Virginia and D.K. Ludwig Fund for Cancer Research
  • Mark Foundation For Cancer Research
  • Bloomberg Philanthropies
  • The Bloomberg~Kimmel Institute for Cancer Immunotherapy
  • Burroughs Wellcome Fund (Career Award For Medical Scientists)
  • Society for Immunotherapy of Cancer
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
Keywords
TP53 mutation, neoantigens, HLA-A, cancer immunotherapy, T cell activation, tumor cell lysis
MeSH terms
Alleles, Animals, Antibodies, Neoplasm, Antigens, Neoplasm, Arginine, Chlorocebus aethiops, Female, Histidine, Humans, Immunization, Passive, Lymphocyte Activation, Mutation, Neoplasms, T-Lymphocytes, HLA-A2 Antigen, Tumor Suppressor Protein p53, Mice, Inbred NOD, Antibodies, Bispecific, Jurkat Cells, COS Cells, Xenograft Model Antitumor Assays, Mice, HEK293 Cells

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review