Evidence mapPaperPMID 40980146Full record

ReviewOncology letters2025

Thyroid cancer: From molecular insights to therapy (Review).

Zhuozheng Li, Nuofan Wang, Xiao Li, Yongfang Xie, Zemin Dou, Hongbing Xin, Yuzhuo Lin, Yan Si, Tingting Feng, Guohui Wang

Abstract readReview
In one paragraph

Review in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. LncRNAFrontiers in endocrinology · 2026
    Article
  6. Review
  7. Article
  8. The impact of evodiamine on human anaplastic thyroid cancer therapy-anInternational journal of medical sciences · 2025
    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

10 authors.

Zhuozheng LiSchool of Life Science and Technology, Shandong Second Medical University, Weifang, Shandong 261053, P.R. China.
Nuofan WangSchool of Medicine, Southeast University, Nanjing, Jiangsu 210009, P.R. China.
Xiao LiDepartment of Thyroid and Breast Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, P.R. China.
Yongfang XieSchool of Life Science and Technology, Shandong Second Medical University, Weifang, Shandong 261053, P.R. China.
Zemin DouSchool of Life Science and Technology, Shandong Second Medical University, Weifang, Shandong 261053, P.R. China.
Hongbing XinDepartment of Ultrasound, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Yuzhuo LinClinical Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 21000, P.R. China.
Yan SiDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Tingting FengCentral Laboratory, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Guohui WangSchool of Life Science and Technology, Shandong Second Medical University, Weifang, Shandong 261053, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer, a prevalent endocrine malignancy with rising global incidence, encompasses four primary subtypes: Papillary (PTC), follicular (FTC), medullary (MTC) and anaplastic thyroid carcinoma (ATC). PTC, accounting for 85-90% of cases, is primarily driven by BRAF V600E mutations alongside dysregulated non-coding RNAs, such as long non-coding RNA metastasis-associated lung adenocarcinoma transcript 1 and microRNA (miR)-1270. These alterations collectively activate MAPK signaling, promoting tumorigenesis. Furthermore, PTC exhibits metabolic reprogramming characterized by dysregulated glucose and lipid metabolism, where tumor suppressors, including family with sequence similarity 111 member B and fat mass and obesity-associated genes, constrain glycolytic flux. FTC, characterized by Ras mutations, exhibits enhanced lipid metabolism and PI3K/AKT pathway activation. Methyltransferase-like protein 16 and sclerostin domain-containing protein 1 have been highlighted as regulators of FTC progression. MTC, associated with rearranged during transfection (RET) proto-oncogene mutations, demonstrates programmed cell death protein-1/programmed death ligand-1 pathway involvement, which offers potential immunotherapy targets. ATC, the most aggressive subtype, is characterized by recurrent genetic alterations such as telomerase reverse transcriptase promoter and tumor protein p53 mutations, cAMP-responsive element-binding protein 3-like 1-driven activation of cancer-associated fibroblasts and hematological and neurological expressed 1-stathmin 1 signaling-mediated invasiveness. Recent diagnostic innovations encompass serum biomarkers, such as stanniocalcin-1, microRNA signatures (including miR-26b-5p) for PTC and MTC detection, radiomics-based differentiation of ATC from other subtypes and optical imaging techniques for precision diagnosis. Molecularly targeted therapies constitute the cornerstone of current strategies, with vemurafenib inhibiting BRAF/MEK in PTC, sorafenib acting as a multikinase suppressor in FTC, vandetanib blocking RET in MTC and berberine-doxorubicin combinations overcoming chemoresistance in ATC. Metabolic interventions, including metformin for glucose modulation in PTC and novel delivery systems such as micelle-encapsulated AB3 for MTC, demonstrate translational potential. The present review summarizes molecular mechanisms, diagnostic tools and emerging therapies while emphasizing the necessity of subtype-specific approaches to improve clinical outcomes in thyroid oncology.

Indexed as

diagnosismechanismsthyroid cancertreatment

Identifiers

PMID40980146
PMCPMC12447069

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.