Evidence map›Paper›PMID 39744583›Full record

ReviewJournal of Cancer2025

New Horizons of Biomarkers in Metastatic Thyroid Cancer.

Alicia Sanchez Cendra, Leonel Pekarek, Beatriz Iglesias Pedrejón, Loreto Bernier, Eduardo David Roberts Cervantes, Cristina Sanchez Cendra, Javier Cassinello, Laura López-Gonzalez, Félix Mañez, Concepción Blanco Carrero and 7 more

Abstract readReview
In one paragraph

Review in Journal of Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

17 authors.

Alicia Sanchez CendraOncology Service, Guadalajara University Hospital, 19002 Guadalajara, Spain.
Leonel PekarekOncology Service, Guadalajara University Hospital, 19002 Guadalajara, Spain.
Beatriz Iglesias PedrejónOncology Service, Guadalajara University Hospital, 19002 Guadalajara, Spain.
Loreto BernierOncology Service, Guadalajara University Hospital, 19002 Guadalajara, Spain.
Eduardo David Roberts CervantesOncology Service, Guadalajara University Hospital, 19002 Guadalajara, Spain.
Cristina Sanchez CendraOncology Service, Guadalajara University Hospital, 19002 Guadalajara, Spain.
Javier CassinelloOncology Service, Guadalajara University Hospital, 19002 Guadalajara, Spain.
Laura López-GonzalezDepartment of Surgery, Medical and Social Sciences, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcala de Henares, Spain.
Félix MañezDepartment of General and Digestive Surgery. General and Digestive Surgery. Hospital Universitario Príncipe de Asturias. 28805 Alcalá de Henares, Madrid, Spain.
Concepción Blanco CarreroDeparment of Medicine and Medical Specialities (CIBEREHD), Faculty of Medicine and Health Sciences, University of Alcalá. 28801 Alcalá de Henares, Spain.
Clara Tasende FernándezDepartment of General and Digestive Surgery. General and Digestive Surgery. Hospital Universitario Príncipe de Asturias. 28805 Alcalá de Henares, Madrid, Spain.
Tomás Ratia GiménezDepartment of Surgery, Medical and Social Sciences, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcala de Henares, Spain.
Diego Martín Córdova GarcíaDepartment of General and Digestive Surgery. General and Digestive Surgery. Hospital Universitario Príncipe de Asturias. 28805 Alcalá de Henares, Madrid, Spain.
Alberto Gutiérrez-CalvoDepartment of Surgery, Medical and Social Sciences, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcala de Henares, Spain.
Melchor Álvarez-MonRamón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain.
Raúl Díaz-PedreroDepartment of Surgery, Medical and Social Sciences, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcala de Henares, Spain.
Miguel A OrtegaRamón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review focuses on the latest advancements in using biomarkers to diagnose, predict outcomes, and guide the treatment of different types of thyroid cancer, such as anaplastic, papillary, medullary, and follicular thyroid carcinoma. We highlight the key role of both traditional and new biomarkers in improving the treatment of these cancers. For anaplastic thyroid cancer, biomarkers are crucial for detecting distant metastases and making treatment decisions. In papillary thyroid carcinoma, biomarkers are used to predict patient survival, taking into account factors like age, the presence of metastasis, and the extent of the tumor. Medullary thyroid carcinoma has seen advancements due to genetic research, particularly in identifying RET mutations, which help in selecting targeted treatments. In follicular thyroid carcinoma, understanding the tumor's molecular profile is important for assessing its aggressiveness and potential to spread. The review also discusses the therapeutic use and variability of various biomarkers in advanced thyroid cancers. Among the most relevant innovations are advancements in detection techniques such as the detection of circulating tumor DNA (ctDNA) and microRNA is emerging as a promising tool for monitoring the disease and predicting treatment response. The integration of these biomarkers into clinical practice, including the most recent detection techniques, is a significant step toward personalized medicine, leading to more accurate diagnoses and better outcomes for thyroid cancer patients.

Indexed as

BiomarkersDiagnosisPersonalized MedicinePrognosisThyroid CancerTreatment

Identifiers

PMID39744583
PMCPMC11660124

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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.