Evidence map›Paper›PMID 40141211›Full record

ArticleInternational journal of molecular sciences2025

Correlation of Anti-TULP1 Autoantibodies with Breast Cancer and Autoimmune Retinopathy.

Collin Kaster, Sufang Yang, Grazyna Adamus

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Collin KasterOcular Immunology Laboratory, Casey Eye Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Sufang YangOcular Immunology Laboratory, Casey Eye Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Grazyna AdamusOcular Immunology Laboratory, Casey Eye Institute, Oregon Health and Science University, Portland, OR 97239, USA.

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI John Peter Campbell · 1995 to 2026
$19.4M
NEI NIH HHS P30 EY010572This work was supported by grant P30 EY010572 from the National Institutes of Health (Bethesda, MD) and by unrestricted departmental funding from Research to Prevent Blindness (New York, NY). EY010572Unrestricted departmental funding from Research to Prevent Blindness (New York, NY). n/a
6 · The paper itself

Abstract

Autoantibodies have been implicated in the pathogenesis of autoimmune diseases, including autoimmune retinopathies. Our study aimed to identify retinal autoantigens recognized by serum autoantibodies (AAbs) in patients with visual disturbance. We evaluated 2453 serum samples for anti-retinal AAbs from patients with or without cancer and complaints of visual loss. Anti-TULP1 AAbs were more prevalent in the subset of women with breast cancer and vision loss. Epitope mapping was determined by ELISA using peptides covering the conservative carboxy terminal of TULP1, revealing major lineal epitopes within the sequences 334-341 and 480-488. We found no significant difference in the main epitope recognition between sera from patients with or without breast cancer. Although we show a correlation of anti-TULP1 AAbs with breast cancer, we found no TULP1 protein expression in breast cells, making this association unclear. In the retina, anti-TULP1 AAbs can disrupt the transport of proteins to outer segments and be involved in the degeneration of photoreceptors in a similar fashion to the degeneration induced by

Indexed as

AutoantibodiesAutoimmune DiseasesBreast NeoplasmsEye ProteinsRetinal DiseasesAdultAgedAutoantigensEpitope MappingFemaleHumansMiddle AgedAutoantibodiesAutoantigensEye Proteinsautoantibodiesautoimmune retinopathybreast cancerepitope mappingTULP1

Identifiers

PMID40141211
PMCPMC11942007

What OpenQuestion holds

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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.