Evidence map›Paper›PMID 40743387›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma.

Yida Huang, Huimin Lin, Jiahao Shi, Yifan Chen, Qi Sang, Ruimin Wang, Wanshan Liu, Jiao Wu, Yanyan Li, Xiaoyu Xu and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

17 authors.

Yida Huang *State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.ORCID 0000-0001-9725-5170
Huimin Lin *Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200023, P. R. China.
Jiahao Shi *Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200023, P. R. China.
Yifan ChenDivision of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P. R. China.
Qi SangState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Ruimin WangState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Wanshan LiuState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Jiao WuState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Yanyan LiState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Xiaoyu XuState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Chunmeng DingState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Shouzhi YangState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Juxiang ZhangState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Renbing JiaDepartment of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200023, P. R. China.
Xianqun FanDepartment of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200023, P. R. China.ORCID 0000-0002-9135-0940
Kun QianState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.ORCID 0000-0003-1666-1965
Yixiong ZhouDepartment of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200023, P. R. China.

Funding

上海å¸'æ•™è'²å§"å'˜ä¼š | Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (Program for Professor of Special Appointment Oriental Scholar at Shanghai Institutions of Higher Learning) 2021-01-07-00-02-E00083Innovation Research Plan by the Shanghai Municipal Education Commission ZXWF082101Innovative Research Team of High-level Local University in Shanghai (Innovative Research Team of High-level Local Universities in Shanghai) SHSMU-ZDCX20210700MOST | National Natural Science Foundation of China (NSFC) 82388101MOST | National Natural Science Foundation of China (NSFC) 823B2050MOST | National Natural Science Foundation of China (NSFC) 82421001MOST | National Natural Science Foundation of China (NSFC) 824B2059MOST | NSFC | Key Programme 2021YFA0910100Project of Biobank of Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine YBKA201907 YBKA202208Shanghai Jiao Tong University (SJTU) 2022XYJG0001-01-16 YG2024ZD07 YG2023ZD08Shanghai Jiao Tong University (SJTU) YG2025QNB57SPDST | Sichuan Provincial Youth Science and Technology Foundation (Sichuan Youth Science and Technology Foundation) 2024YFHZ0176
6 · The paper itself

Abstract

Ocular adnexal lymphoma (OAL) is the most common orbital malignancy in adults. Advanced tools for precise diagnosis and prognosis of OAL are in demand. Here, the nanoparticle-enhanced laser desorption/ionization mass spectrometry was applied for the construction of OAL-associated serum metabolic patterns (SMPs) from 239 participants (104 OAL and 135 non-OAL). Through machine learning, the diagnostic performance with an area-under-the-curve (AUC) of 0.901 was achieved for OAL based on SMPs. Furthermore, a diagnostic metabolic panel was constructed with an AUC of 0.875. Moreover, a prognosis scoring system was built and its desirable prediction efficacy for progression-free survival of OAL was confirmed (

Indexed as

AlanineBiomarkers, TumorEye NeoplasmsLymphomaAdultAgedFemaleHumansMaleMiddle AgedPrognosisAlanineBiomarkers, Tumorbiomarkerdiagnosis and prognosismachine learningocular adnexal lymphomaserum metabolic patterns

Identifiers

PMID40743387
PMCPMC12337266

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.