Evidence map›Paper›PMID 37017811›Full record

ArticleBreast cancer research and treatment2023

Caveolin-1 genotypes as predictor for locoregional recurrence and contralateral disease in breast cancer.

Christopher Godina, Helga Tryggvadottir, Ana Bosch, Signe Borgquist, Mattias Belting, Karolin Isaksson, Helena Jernström

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 2 institutions in 2 countries.

Christopher GodinaDivision of Oncology, Department of Clinical Sciences in Lund, Lund University and Skåne University Hospital, Barngatan 4, 221 85, Lund, Sweden.
Helga TryggvadottirDivision of Oncology, Department of Clinical Sciences in Lund, Lund University and Skåne University Hospital, Barngatan 4, 221 85, Lund, Sweden.
Ana BoschDivision of Oncology, Department of Clinical Sciences in Lund, Lund University and Skåne University Hospital, Barngatan 4, 221 85, Lund, Sweden.
Signe BorgquistDivision of Oncology, Department of Clinical Sciences in Lund, Lund University and Skåne University Hospital, Barngatan 4, 221 85, Lund, Sweden.
Mattias BeltingDivision of Oncology, Department of Clinical Sciences in Lund, Lund University and Skåne University Hospital, Barngatan 4, 221 85, Lund, Sweden.
Karolin IsakssonDivision of Surgery, Department of Clinical Sciences in Lund, Lund University and Kristianstad Hospital, Lund and Kristianstad, Sweden.
Helena JernströmDivision of Oncology, Department of Clinical Sciences in Lund, Lund University and Skåne University Hospital, Barngatan 4, 221 85, Lund, Sweden. helena.jernstrom@med.lu.se.ORCID http://orcid.org/0000-0002-2301-5147
Lund University · SEUppsala University · SE

Funding

Cancerfonden CAN 20 0763Region Skåne ALF 40620Region Skåne ST-ALFRegion Skåne Yngre ALF
6 · The paper itself

Abstract

purposeCaveolin-1 (CAV1) has been implicated in breast cancer oncogenesis and metastasis and may be a potential prognosticator, especially for non-distant events. CAV1 functions as a master regulator of membrane transport and cell signaling. Several CAV1 SNPs have been linked to multiple cancers, but the prognostic impact of CAV1 SNPs in breast cancer remains unclear. Here, we investigated CAV1 polymorphisms in relation to clinical outcomes in breast cancer.

methodsA cohort of 1017 breast cancer patients (inclusion 2002-2012, Sweden) were genotyped using Oncoarray by Ilumina. Patients were followed for up to 15 years. Five out of six CAV1 SNPs (rs10256914, rs959173, rs3807989, rs3815412, and rs8713) passed quality control and were used for haplotype construction. CAV1 genotypes and haplotypes in relation to clinical outcomes were assessed with Cox regression and adjusted for potential confounders (age, tumor characteristics, and adjuvant treatments).

resultsOnly one SNP was associated with lymph node status, no other SNPs or haplotypes were associated with tumor characteristics. The CAV1 rs3815412 CC genotype (5.8% of patients) was associated with increased risk of contralateral breast cancer, adjusted hazard ratio (HR

conclusionCAV1 polymorphisms were associated with increased risk for locoregional recurrence and contralateral breast cancer. These findings may identify patients that could derive benefit from more tailored treatment to prevent non-distant events, if confirmed.

Indexed as

Breast NeoplasmsCaveolin 1FemaleGenetic Predisposition to DiseaseGenotypeHaplotypesHumansPolymorphism, Single NucleotideCAV1 protein, humanCaveolin 1Caveolin-1Contralateral breast cancerGenotypeLocoregional breast cancer recurrence

Identifiers

PMID37017811
PMCPMC10175335
OpenAlexW4362602539

What OpenQuestion holds

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LicenceCC BY
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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.