Evidence map›Paper›PMID 41013870›Full record

ArticleCancer biology & medicine2025

Integrated pretreatment stratification system for pancreatic cancer: combining anatomical resectability and tumor biological parameters.

Song Gao, Yuexiang Liang, Jun Yu, Shaofei Chang, Hongwei Wang, Tiansuo Zhao, Xiuchao Wang, Quan Man, Zhifei Li, Yiping Zou and 3 more

Abstract read
In one paragraph

Article in Cancer biology & medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Song Gao *Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.
Yuexiang Liang *Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.
Jun Yu *Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.
Shaofei ChangDepartment of General Surgery, Shanxi Provincial People's Hospital, Taiyuan 030012, China.
Hongwei WangDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.
Tiansuo ZhaoDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.
Xiuchao WangDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.
Quan ManDepartment of General Surgery, Tongliao People's Hospital, Tongliao 028000, China.
Zhifei LiDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.
Yiping ZouDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.
Kuirong JiangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID 0000-0002-5201-8187
Chuntao GaoDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.ORCID 0009-0001-5287-2113
Jihui HaoDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin 300060, China.ORCID 0000-0002-1607-1730

Funding

Tianjin Natural Science Foundation 24JCYBJC00580
6 · The paper itself

Abstract

objectiveCurrent clinical staging of pancreatic ductal adenocarcinoma (PDAC) relies predominantly on anatomical resectability, thus limiting its prognostic utility. We developed and validated a pretreatment prognostic grading system incorporating multidimensional parameters.

methodsPatients with histologically confirmed PDAC undergoing curative-intent pancreatectomy were retrospectively enrolled. Independent prognostic determinants of overall survival (OS) and disease-free survival (DFS), identified through multivariable Cox proportional hazards regression, provided the basis for deriving the Tianjin Prognostic Score and its corresponding risk stratification scheme.

resultsResectability status, lymph node metastasis indicated by imaging, pretreatment serum CA19-9 levels, and the prognostic nutritional score (PNS) independently predicted both OS and DFS. These parameters were integrated into the Tianjin Prognostic Score for PDAC prognosis stratification. The Tianjin-Grade system, subsequently established according to this score, segregated patients into 4 discrete prognostic cohorts with significantly divergent survival outcomes. This system exhibited significantly greater discriminatory ability for prognosis than conventional serum CA19-9 and resectability criteria. Notably, patients classified as having high risk or extremely high risk derived substantial survival benefits from neoadjuvant chemotherapy (NAC), whereas those with low or intermediate risk demonstrated comparable survival outcomes regardless of NAC administration.

conclusionsThe Tianjin-Grade system provides accurate pretreatment prognosis prediction in patients with PDAC through integration of anatomical and biological parameters, thus serving as a reliable tool for prognostic assessment. This system facilitates the development of personalized preoperative therapeutic strategies.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsAdultAgedCA-19-9 AntigenFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoadjuvant TherapyNeoplasm StagingPancreatectomyPrognosisRetrospective StudiesCA-19-9 Antigenneoadjuvant chemotherapyPancreatic ductal adenocarcinomaprognosisrecurrencestaging system

Identifiers

PMID41013870
PMCPMC12624808

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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.