Evidence map›Paper›PMID 38141322›Full record

ReviewCurrent opinion in biotechnology2024

Breaking tolerance: autoantibodies can target protein posttranslational modifications.

Kristin J Lastwika, Paul D Lampe

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Humoral contributions to checkpoint blockade therapy.Journal for immunotherapy of cancer · 2026
    Article
  2. Review
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

2 authors at 1 institution in 1 country.

Kristin J LastwikaTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Translational Research Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Paul D LampeTranslational Research Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: plampe@fredhutch.org.
Fred Hutch Cancer Center · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Project 4: Risk stratification for pulmonary nodules detected by CT imaging using plasma and imaging biomarkersP50CA228944 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PHILIP D GREENBERG · 2019 to 2026
$19.6M
NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Translating Autoantibodies Into Chimeric Antigen Receptor-T cell Therapy for Small Cell Lung CancerU01CA268066 · NCI · FRED HUTCHINSON CANCER CENTER · PI A McGarry Houghton, Kristin J Lastwika · 2022 to 2026
$3.0M
Tumor-specific autoantibodies for SCLC early detectionR01CA243328 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HOUGHTON, A MCGARRY, LAMPE, PAUL D. · 2020 to 2024
$2.3M
NCATS NIH HHS KL2 TR002317NCI NIH HHS P30 CA015704NCI NIH HHS P50 CA228944NCI NIH HHS R01 CA243328NCI NIH HHS U01 CA268066
6 · The paper itself

Abstract

Autoantibodies (AAb) are an immunological resource ripe for exploitation in cancer detection and treatment. Key to this translation is a better understanding of the self-epitope that AAb target in tumor tissue, but do not bind to in normal tissue. Posttranslational modifications (PTMs) on self-proteins are known to break tolerance in many autoimmune diseases and have also recently been described in cancer. This scope of possible autoantigens is quite broad and new high-dimensional and -throughput technologies to probe this repertoire will be necessary to fully exploit their potential. Here, we discuss the strengths and weaknesses of existing high-throughput platforms to detect AAb, review the current methods for characterizing immunogenic PTMs, describe the main challenges to identifying disease-relevant antigens and suggest the properties of future technologies that may be able to address these challenges. We conclude that exploiting the evolutionary power of the immune system to distinguish between self and nonself has great potential to be translated into antibody-based clinical applications.

Indexed as

Autoimmune DiseasesNeoplasmsAutoantibodiesAutoantigensHumansProtein Processing, Post-TranslationalProteinsAutoantibodiesAutoantigensProteins

Identifiers

PMID38141322
PMCPMC10922400
OpenAlexW4390102071

What OpenQuestion holds

Textmetadata
LicenceTDM
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.