Evidence map›Paper›PMID 38780705›Full record

ArticleFamilial cancer2024

The best linear unbiased prediction (BLUP) method as a tool to estimate the lifetime risk of pancreatic ductal adenocarcinoma in high-risk individuals with no known pathogenic germline variants.

Cristina-Marianini-Rios, María E Castillo Sanchez, Ana García García de Paredes, Mercedes Rodríguez, Emma Barreto, Jorge Villalón López, Raquel Fuentes, María Muñoz Beltrán, Alfonso Sanjuanbenito, Eduardo Lobo and 9 more

Abstract read
In one paragraph

Article in Familial cancer, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Cristina-Marianini-Rios *Department of Agricultural Economics, Statistics and Business Management, Universidad Politécnica de Madrid, Madrid, Spain.
María E Castillo Sanchez *Ramón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Ana García García de ParedesRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Mercedes RodríguezRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Emma BarretoRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Jorge Villalón LópezRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Raquel FuentesMedical Oncology Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, 28034, Spain.
María Muñoz BeltránRadiology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Alfonso SanjuanbenitoRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Eduardo LoboRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Alejandra CaminoaDepartment of Pathology, Hospital Universitario Ramón y Cajal, Madrid, 28034, Spain.
Ignacio Ruz-CaracuelRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Sergio López DuránRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
José Ramón Foruny OlcinaRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Javier BlázquezRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Enrique Vázquez SequerosRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Alfredo CarratoRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain.
Jose Carlos Martínez ÁvilaDepartment of Agricultural Economics, Statistics and Business Management, Universidad Politécnica de Madrid, Madrid, Spain. jc.martinez.avila@upm.es.ORCID 0000-0003-3332-8195
Julie EarlRamón y Cajal Health Research Institute (IRYCIS), Carretera Colmenar Km 9, 100, Madrid, 28034, Spain. julie.earl@live.co.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer-related death in the Western world. The number of diagnosed cases and the mortality rate are almost equal as the majority of patients present with advanced disease at diagnosis. Between 4 and 10% of pancreatic cancer cases have an apparent hereditary background, known as hereditary pancreatic cancer (HPC) and familial pancreatic cancer (FPC), when the genetic basis is unknown. Surveillance of high-risk individuals (HRI) from these families by imaging aims to detect PDAC at an early stage to improve prognosis. However, the genetic basis is unknown in the majority of HRIs, with only around 10-13% of families carrying known pathogenic germline mutations. The aim of this study was to assess an individual's genetic cancer risk based on sex and personal and family history of cancer. The Best Linear Unbiased Prediction (BLUP) methodology was used to estimate an individual's predicted risk of developing cancer during their lifetime. The model uses different demographic factors in order to estimate heritability. A reliable estimation of heritability for pancreatic cancer of 0.27 on the liability scale, and 0.07 at the observed data scale as obtained, which is different from zero, indicating a polygenic inheritance pattern of PDAC. BLUP was able to correctly discriminate PDAC cases from healthy individuals and those with other cancer types. Thus, providing an additional tool to assess PDAC risk HRI with an assumed genetic predisposition in the absence of known pathogenic germline mutations.

Indexed as

Carcinoma, Pancreatic DuctalGenetic Predisposition to DiseaseGerm-Line MutationPancreatic NeoplasmsAdultAgedCarcinomaFemaleHumansMaleMiddle AgedRisk AssessmentGenetic cancer riskHeritabilityHigh-risk screeningPancreatic cancer

Identifiers

PMID38780705
PMCPMC11254992

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.