Evidence map›Paper›PMID 40702080›Full record

ArticleScientific reports2025

Decreased green autofluorescence in cancerous tissues is a potential biomarker for diagnosis of renal cell carcinomas.

Wei Wan, Junrong Zou, Tianpeng Xie, Liang Zeng, Huiquan Liu, Bo Jiang, Yunfeng Liao, Yuting Wu, Gengqing Wu, Guoxi Zhang and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

12 authors.

Wei Wan *First Clinical Medical College, Gannan Medical University, Ganzhou, China.
Junrong Zou *Institute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Tianpeng Xie *Institute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Liang ZengFirst Clinical Medical College, Gannan Medical University, Ganzhou, China.
Huiquan LiuFirst Clinical Medical College, Gannan Medical University, Ganzhou, China.
Bo JiangInstitute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Yunfeng LiaoInstitute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Yuting WuInstitute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Gengqing WuInstitute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Guoxi ZhangInstitute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Weihai YingMed-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. weihaiy@sjtu.edu.cn.
Xiaofeng ZouFirst Clinical Medical College, Gannan Medical University, Ganzhou, China. gyfyzouxf@126.com.

Funding

Ganzhou City Science and Technology Guidance Plan Project No. GZ2023ZSF097Key Research and Development Program of Jiangxi Province No. 20212BBG71013Science and Technology Innovation Talent Project of Ganzhou City No. 2022CXRC9621Science and Technology Project of the Jiangxi Provincial Department of Education No. GJJ190819
6 · The paper itself

Abstract

This study primarily focuses on the potential sources of autofluorescence, including keratins (KRT) encoded by KRT1, KRT7, and KRT8, to investigate their contributions to the differences in autofluorescence between cancerous tissues and adjacent non-tumor tissues, as well as their potential for real-time diagnosis of RCC. First, the autofluorescence of renal cell carcinoma (RCC) tissues under 488 nm laser excitation was observed and compared with the autofluorescence of neighboring non-tumor tissues. Then, the effect on the autofluorescence intensity was analyzed by knocking down the KRT1/KRT7 gene. In addition, autofluorescence data were collected from 174 pairs of tumor and adjacent non-tumor tissue samples (from 60 RCC patients). Diagnostic performance was evaluated using ROC analysis to determine the threshold value for tumor autofluorescence intensity. Under 488 nm laser excitation, the intensity of green autofluorescence in cancerous tissues of RCC patients was significantly lower than that in non-tumor tissues. Further analysis showed that KRT1 knockdown resulted in a 73% reduction in autofluorescence intensity, suggesting that KRT1 plays a key role in the reduced autofluorescence observed in tumor tissues. In addition, analysis of autofluorescence data from 174 tumor and adjacent non-tumor tissue samples showed an AUC of 0.880 for ROC analysis, a diagnostic sensitivity and specificity of 0.843 and 0.835, respectively, and a threshold value of 27.45 for using tumor autofluorescence intensity. KRT1 is a major contributor to the tumor autofluorescence observed in RCC. An autofluorescence-based diagnostic model facilitates real-time assessment of surgical margins during partial nephrectomy, thereby potentially improving surgical success rates.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellKidney NeoplasmsAdultAgedFemaleFluorescenceHumansKeratin-1Keratin-7Keratin-8MaleMiddle AgedROC CurveBiomarkers, TumorKeratin-1Keratin-7Keratin-8KRT1 protein, humanKRT7 protein, humanAutofluorescenceCytokeratin-1DiagnosisRenal cell carcinoma

Identifiers

PMID40702080
PMCPMC12287290

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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.