Evidence map›Paper›PMID 42838966›Full record

ArticleNPJ precision oncology2026

Concordance analysis of non-invasive techniques for PIK3CA and ESR1 mutations in advanced HR+/HER2- breast cancer: the CANIPE study.

Clotilde Costa, Ramón Manuel Lago-Lestón, Aitor Rodríguez-Casanova, Teresa Curiel, Carmela Rodríguez, Alicia Abalo, Carmen Abuín, Patricia Palacios, Juan Cueva, Marta Carmona and 15 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

25 authors.

Clotilde CostaTranslational Medical Oncology Group, Oncomet. Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain. clotilde.costa.nogueira@sergas.es.
Ramón Manuel Lago-LestónTranslational Medical Oncology Group, Oncomet. Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.
Aitor Rodríguez-CasanovaCIBERONC, Centro de Investigación Biomédica en Red Cáncer, Madrid, Spain.
Teresa CurielDepartment of Oncology, Complexo Hospitalario Universitario de Santiago de Compostela (SERGAS), Santiago de Compostela, Spain.
Carmela RodríguezDepartment of Oncology, Complexo Hospitalario Universitario de Santiago de Compostela (SERGAS), Santiago de Compostela, Spain.
Alicia AbaloTranslational Medical Oncology Group, Oncomet. Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.
Carmen AbuínTranslational Medical Oncology Group, Oncomet. Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.
Patricia PalaciosDepartment of Oncology, Complexo Hospitalario Universitario de Santiago de Compostela (SERGAS), Santiago de Compostela, Spain.
Juan CuevaDepartment of Oncology, Complexo Hospitalario Universitario de Santiago de Compostela (SERGAS), Santiago de Compostela, Spain.
Marta CarmonaDepartment of Oncology, Complexo Hospitalario Universitario de Santiago de Compostela (SERGAS), Santiago de Compostela, Spain.
Alexandra CortegosoDepartment of Oncology, Complexo Hospitalario Universitario de Santiago de Compostela (SERGAS), Santiago de Compostela, Spain.
Serafín MoralesDepartment of Medical Oncology, Arnau de Vilanova University Hospital (HUAV), Av. Alcalde Rovira Roure, 80, 25198, Lleida, Spain.
Josep GumàMedical Oncology Department, Hospital Universitari Sant Joan de Reus, IISPV, URV, Reus, Tarragona, Spain.
Kepa AmillanoMedical Oncology Department, Hospital Universitari Sant Joan de Reus, IISPV, URV, Reus, Tarragona, Spain.
Mariana López FloresMedical Oncology Department, University Hospital of León, 24071, León, Spain.
Yolanda FernándezMedical Oncology Department, Hospital Universitario Central Asturias, 33011, Oviedo, Spain.
Isaura Fernández PérezMedical Oncology Department, Hospital Álvaro Cunqueiro, Vigo, Spain.
Ignacio Fernández SobradoMedical Oncology, University Hospital Lucus Augusti, Lugo, Spain.
María Gión CortésDepartment of Medical Oncology, Ramón y Cajal University Hospital, 28034, Madrid, Spain.
Carolina PenaMedical Oncology Department, Complexo Hospitalario de Pontevedra, Pontevedra, Spain.
Jesús García-MataMedical Oncology Department, Complejo Hospitalario Universitario de Ourense, C/ Ramón Puga Noguerol, 54, 32005, Ourense, Spain.
Andrea Saenz de MieraMedical Oncology Department, Hospital Rivera Povisa, Vigo, Spain.
Ángel Díaz-LagaresTranslational Medical Oncology Group, Oncomet. Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.
Laura Muinelo-RomayTranslational Medical Oncology Group, Oncomet. Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.
Rafael López-LópezTranslational Medical Oncology Group, Oncomet. Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain. Rafael.lopez.lopez@sergas.es.

Funding

Instituto de Salud Carlos III CP20/00119Instituto de Salud Carlos III CP23/00002
6 · The paper itself

Abstract

Hormone receptor-positive (HR+) and HER2-negative (HER2-) breast cancer represents ~70% of breast tumors. Accurate detection of PIK3CA and ESR1 mutations is crucial for guiding targeted therapies, particularly in advanced disease. Liquid biopsy testing is increasingly recommended, especially for ESR1 mutation, but standardized genotyping methods remain limited. The CANIPE study, a prospective, multicenter Spanish trial, evaluated mutation prevalence in 106 baseline blood samples. PIK3CA mutations were identified in 41.9% by ddPCR droplet digital PCR (ddPCR) and 42.8% by targeted next-generation sequencing (NGS), while ESR1 mutations were detected in 7.8 and 9.5%, respectively. A concordance analysis between ddPCR and NGS was performed in 62 paired samples, demonstrating excellent agreement (Kappa >0.85) and strong correlation in variant allele frequency for PIK3CA, confirming the reliability of the methods. Baseline circulating free DNA levels were prognostic for survival. These results, derived from real-world patient samples, support ddPCR and NGS as robust, complementary tools for mutation detection and therapeutic decision-making.

Identifiers

PMID42838966
PMCPMC13642339

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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.