Evidence map›Paper›PMID 42179850›Full record

ReviewInternational journal of general medicine2026

Precision Thyroid Oncology: A Review of Multi-Omics Biomarkers and Spatiotemporal Technologies.

Lei Huang, Xinghua Deng, Zhenjun Xi, Xiaofang Huan, Jingxin Mao, Xiaobing Li

Abstract readReview
In one paragraph

Review in International journal of general medicine, 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

6 authors.

Lei Huang *General Education School, Chongqing Youth Vocational & Technical College, Chongqing, 400712, People's Republic of China.
Xinghua Deng *Science and Education Department, People's Hospital of Shizhu Tujia Autonomous County, Chongqing, 409199, People's Republic of China.
Zhenjun XiScience and Technology Industry Development Center, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China.
Xiaofang HuanScience and Education Department, People's Hospital of Shizhu Tujia Autonomous County, Chongqing, 409199, People's Republic of China.
Jingxin MaoScience and Technology Industry Development Center, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China.ORCID 0000-0002-2813-1702
Xiaobing LiScience and Technology Industry Development Center, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China.ORCID 0009-0005-3723-9626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer (TC), the most prevalent endocrine malignancy worldwide, encompasses a broad spectrum of biological behaviors ranging from indolent microcarcinomas to lethal anaplastic variants. Despite advancements in standard care, critical clinical "bottlenecks" persist, including the diagnostic ambiguity of Bethesda III/IV nodules, the rising prevalence of radioiodine-refractory (RAI-R) differentiated TC, and the dismal survival rates of anaplastic thyroid carcinoma (ATC). The rapid evolution of biomarkers has catalyzed a paradigm shift from traditional anatomical-pathological staging to a sophisticated "Molecular Taxonomy" model, providing the cornerstone for precision oncology. This review systematically delineates the multi-dimensional landscape of TC biomarkers, encompassing genomic and transcriptomic drivers (eg, BRAF, RAS, TERT, RET, NTRK), epigenetic regulators (miRNAs, lncRNAs, circRNAs, and DNA methylation), and the proteomic interface. We highlight the transformative role of Liquid Biopsy 2.0-including ctDNA-based minimal residual disease (MRD) detection and exosomal multi-omics-in enabling non-invasive, longitudinal surveillance. Furthermore, we explore how cutting-edge technologies, such as single-cell sequencing and spatial transcriptomics, are deciphering intratumoral heterogeneity and redefining the "functional invasive front". Clinical translation is addressed through the lens of personalized management: from the use of genomic classifiers (eg, ThyroSeq v3) in preoperative triage to biomarker-guided "de-escalation" or "intensification" of therapy. Finally, we discuss the imperative of addressing ancestry-specific molecular divergence (specifically in Asian cohorts). However, significant challenges remain, including the high cost of multi-omics integration and the lack of standardized protocols for clinical implementation. We conclude by envisioning a future integrated with multimodal AI models, patient-derived organoids (PDOs), and metabolic reprogramming markers, aiming to provide a holistic framework for the "early screening-precise diagnosis-tailored therapy-dynamic monitoring" continuum in thyroid oncology.

Indexed as

ancestry-specific medicineclonal evolutionliquid biopsymolecular taxonomymulti-modal artificial intelligenceprecision oncologyradioiodine refractorinessspatial transcriptomicsthyroid cancertumor microenvironment

Identifiers

PMID42179850
PMCPMC13196814

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.