Evidence map›Paper›PMID 41661377›Full record

ArticleInsights into imaging2026

Tumour mutation burden drives survival outcomes in pancreatic ductal adenocarcinoma and enables noninvasive prediction via dual-layer spectral CT.

Jiawei Liu, Siya Shi, Meicheng Chen, Jiadan Luo, Luyong Wei, Mingjie Chen, Zujiang Shi, Liqin Wang, Yanji Luo, Shi-Ting Feng

Abstract read
In one paragraph

Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jiawei Liu *Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Siya Shi *Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Meicheng Chen *Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jiadan LuoDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Luyong WeiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Mingjie ChenDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zujiang ShiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Liqin WangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. wanglqin@mail.sysu.edu.cn.
Yanji LuoDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. luoyj26@mail.sysu.edu.cn.
Shi-Ting FengDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. fengsht@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-0869-7290

Funding

National Natural Science Foundation of China 82271958National Natural Science Foundation of China 82471948National Natural Science Foundation of China 82472096Natural Science Foundation of Guangdong Province 2024A1515011968Natural Science Foundation of Guangdong Province 2024A1515012149
6 · The paper itself

Abstract

objectivesTo evaluate the prognostic significance of tumour mutation burden (TMB) in pancreatic ductal adenocarcinoma (PDAC) and explore the performance of dual-layer spectral CT (DLCT) for noninvasive TMB evaluation. MATERIALS AND

methodsThis retrospective analysis enroled patients with histopathologically confirmed PDAC who underwent DLCT between June 2019 and December 2023. Clinical, qualitative radiological, and quantitative conventional CT and DLCT parameters were evaluated. Survival analysis evaluated TMB's association with progression-free survival (PFS) and identified an optimal TMB cutoff. Independent TMB predictors were identified through univariable and LASSO regression. Predictive performance was quantified via receiver operating characteristic and precision-recall curve assessments.

resultsAmong 75 patients (mean age 60.4 ± 11.2 years; 41 males, 34 females), median TMB was 2.13 mut/Mb (interquartile range: 1.00-4.26). A 5 mut/Mb cutoff revealed distinct prognostic groups, with high-TMB cases exhibiting better PFS (median PFS: 7 vs 5 months, p = 0.02). Normalised iodine concentration in the pancreatic phase (nICa) was the sole independent TMB predictor (area under the curve [AUC] = 0.901; cutoff = 0.089; accuracy = 89.3% [89.1-89.6%], sensitivity = 81.8% [59.0-100%], specificity = 90.6% [83.5-97.8%]), surpassing conventional CT attenuation metrics (nCTa, AUC = 0.834), peripancreatic tumour infiltration (AUC = 0.679), and their combined model (AUC = 0.864) with significant net reclassification improvement (all p < 0.05). Precision-recall curve validation reinforced nICa's superior predictive capacity. Patients classified by nICa-predicted high TMB status demonstrated better PFS (median PFS: 7 vs 5 months, p = 0.04).

conclusionElevated TMB is a positive biomarker for PFS in PDAC. DLCT-derived nICa facilitates precise, noninvasive TMB prediction, outperforming conventional imaging parameters and supporting its potential role in therapeutic stratification. CRITICAL RELEVANCE STATEMENT: Elevated tumour mutational burden (TMB) in PDAC correlated with prolonged PFS. DLCT provided noninvasive, accurate TMB quantification, enabling meaningful survival stratification. KEY POINTS: High TMB in patients with PDAC portends better PFS, particularly those receiving combination immunotherapy. A clinically applicable TMB cutoff of 5 mut/Mb was identified, stratifying patients into biologically distinct low- and high-TMB prognostic groups. DLCT-derived pancreatic phase normalized iodine concentration emerged as a superior noninvasive TMB biomarker compared to conventional imaging parameters.

Indexed as

Dual-layer spectral CTImmunotherapyPancreatic ductal adenocarcinomaPrognosisTumour mutation burden

Identifiers

PMID41661377
PMCPMC12886588

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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.