Evidence map›Paper›PMID 42153999›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates.

Xinwei Chen, Rui Liu, Yuan Zhou, Yin Xiao, Chengmin Feng, Lin Chen, Yanshi Li, Mengna Wang, Zhaobo Cheng, Yuxi Luo and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Xinwei ChenDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Rui LiuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuan ZhouDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yin XiaoDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chengmin FengDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lin ChenDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yanshi LiDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mengna WangDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhaobo ChengDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuxi LuoDepartment of Radiology, Zigong Fourth People's Hospital, Zigong, Sichuan, China.
Long LiuDepartment of Radiology, The People's Hospital of Hechuan, Chongqing, China.
Lijing NiuDepartment of Pathology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Yue XiangDepartment of Pathology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Juan PengDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Guohua HuDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-9550-2534
Min PanDepartment of Otorhinolaryngology-Head and Neck Surgery, Upper Airway Inflammation and Tumor Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-8419-9357

Funding

Chongqing Medical University CYYY-DSTDXM202507Graduate Supervisor Team Construction Project of the First Clinical CollegeNational Natural Science Foundation of China 82103145National Natural Science Foundation of China 82373040
6 · The paper itself

Abstract

This study employed an imaging-decoding strategy to quantitatively characterize intratumoral heterogeneity (ITH) in patients with head and neck squamous cell carcinoma (HNSCC), and further evaluated the capacity of the imaging-based ITH score in prognostic stratification and immunotherapy response prediction. A total of 993 HNSCC patients from three medical centers and one public database were stratified into seven sets. Using an unsupervised radiomics framework integrating local variation and global distribution, tumor regions of interest (ROIs) and volumes of interest (VOIs) were separately analyzed to calculate 2D and 3D ITH scores. The association between the ITH score and patient prognosis was evaluated across independent prognostic sets, and its predictive performance for pathologic complete response (pCR) was assessed in an immunotherapy set. Additionally, histological and molecular characteristics of the ITH score were explored via the pathological set and the genomic set. The ITH score demonstrated robust prognostic value and good predictive performance. Biologically, low-ITH tumors exhibited a higher proportion of inflammatory and connective cells, and were enriched in immune-related pathways, whereas high-ITH tumors exhibited increased heterogeneous tumor cells and upregulation of metabolic pathways. The proposed ITH score represented a reliable, noninvasive, and biologically interpretable imaging biomarker that effectively quantified tumor heterogeneity in HNSCC.

Indexed as

Head and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckAgedFemaleHumansMaleMiddle AgedPrognosisRadiomicsdigital pathologyhead and neck squamous cell carcinomaintratumoral heterogeneitymulti‐omicsradiomics

Identifiers

PMID42153999
PMCPMC13336084

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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.