Evidence map›Paper›PMID 42272953›Full record

ArticleBioengineering & translational medicine2026

Association of tumor associated collagen signature with lymph node metastasis in pancreatic ductal adenocarcinoma.

Gangqin Xi, Linying Chen, Xiwen Chen, Yuhang Huang, Junyang Luo, Jiajia He, Xiaolu Li, Jianxin Chen, Guozhong Liu, Lianhuang Li and 1 more

Abstract read
In one paragraph

Article in Bioengineering & translational 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

11 authors.

Gangqin XiSchool of Science Jimei University Xiamen China.ORCID https://orcid.org/0000-0002-7888-4569
Linying ChenDepartment of Pathology The First Affiliated Hospital of Fujian Medical University Fuzhou China.
Xiwen ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology Fujian Normal University Fuzhou China.
Yuhang HuangSchool of Science Jimei University Xiamen China.
Junyang LuoDepartment of Clinical Medicine Xiamen Medical College Xiamen China.
Jiajia HeSchool of Science Jimei University Xiamen China.
Xiaolu LiSchool of Science Jimei University Xiamen China.
Jianxin ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology Fujian Normal University Fuzhou China.ORCID https://orcid.org/0000-0001-8519-4462
Guozhong LiuDepartment of Hepatopancreatobiliary Surgery the First Affiliated Hospital of Fujian Medical University Fuzhou China.
Lianhuang LiKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology Fujian Normal University Fuzhou China.
Shuangmu ZhuoSchool of Science Jimei University Xiamen China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive and fatal cancer with significant metastatic potential. Lymph node status is crucial for determining treatment options and predicting prognosis in pancreatic cancer patients. Current methods for estimating lymph node metastasis in PDAC are inadequate. This study developed and validated a novel nomogram that integrates macroscopic and microscopic tumor-associated collagen signatures (ma-TACS and mi-TACS) within the tumor microenvironment to assess the risk of lymph node metastasis in PDAC patients. This retrospective study included 150 PDAC patients, with 92 in the training cohort and 58 in the validation cohort. Ma-TACS and mi-TACS were obtained by multiphoton microscopy. Mi-TACS, which includes both morphological and textural features, were extracted from segmented regions of interest using Matlab 2022a. Ma-TACS and mi-TACS scores were calculated using ridge regression and LASSO regression analysis. Ma-TACS and mi-TACS scores are significantly related to lymph node metastasis in both univariate and multivariate logistic regression analyses (ma-TACS score, odds ratio, 2.304; 95% CI, 1.412-3.761;

Indexed as

lymph node metastasismultiphoton microscopypancreatic ductal adenocarcinoma (PDAC)predicttumor associated collagen signature (TACS)

Identifiers

PMID42272953
PMCPMC13247407

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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.