Evidence map›Paper›PMID 41840648›Full record

ArticleNutrition journal2026

The prognostic impact of tryptophan on non-small cell lung cancer survival: insights from plasma essential amino acids.

Haodong Zhao, Wendong Liu, Ying Zhang, Yujie Bai, Guochong Chen, Mei Wang, Liqiang Qin, Yang Yang, Jingsi Chen, Zheng Zhang

Abstract read
In one paragraph

Article in Nutrition journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Haodong ZhaoInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215127, China.
Wendong LiuInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215127, China.
Ying ZhangInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215127, China.
Yujie BaiInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215127, China.
Guochong ChenInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215127, China.
Mei WangInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215127, China.
Liqiang QinDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, 215021, China. qinliqiang@suda.edu.cn.
Yang YangDepartment of Thoracic Radiotherapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. yangyang@zjcc.org.cn.
Jingsi ChenDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, 215021, China. jschen1993@suda.edu.cn.
Zheng ZhangInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215127, China. zhangzheng0928@suda.edu.cn.

Funding

High-level Innovation and Entrepreneurship Talent Introduction Plan of Jiangsu Province JSSCBS20211579National Natural Science Foundation of China 82103812National Natural Science Foundation of China 82203987National Outstanding Youth Training Program of Children's Hospital Affiliated to Soochow University YYQ003Suzhou Medical Health Science and Technology Innovation Project SKY2022176Suzhou Medical Health Talents Project GSWS2021031
6 · The paper itself

Abstract

backgroundEssential amino acids (EAAs) play a critical role in the metabolism of both tumor and immune cells, thereby potentially affecting tumor prognosis via multiple mechanisms. However, few studies have explored the impact of individual or total EAA levels on the survival outcomes of patients with non-small cell lung cancer (NSCLC).

methodsMetabolomics technology was employed to measure plasma levels of eight EAAs and kynurenine (Kyn) in NSCLC patients. Cox proportional hazards regression model was applied to assess the association between individual EAA levels and the risk of NSCLC related mortality. The combined effect of EAAs on mortality risk in NSCLC patients was further evaluated using multiple statistical models including weighted quantile sum (WQS) regression, quantile-based g computation (qgcomp), and Bayesian kernel machine regression (BKMR) models. Finally, a Random Forest (RF) model was developed to evaluate the prognostic value of the Trp/Kyn ratio in predicting the mortality risk in NSCLC patients.

resultsA total of 422 NSCLC patients were included in the analyses. During the median follow-up period of 40.71 months, 300 deaths were recorded. Multivariable Cox regression analyses revealed that six EAAs were significantly associated with a reduced mortality risk, among which Trp exhibited the strongest inverse association (HR: 0.44, 95%CI: 0.31–0.62). More importantly, a significant inverse association between EAA levels and mortality risk was consistently identified across all three models, particularly in patients with advanced-stage NSCLC. Trp was confirmed as the primary contributor to this combined effect, especially in the advanced NSCLC subgroup. Furthermore, a higher Trp/Kyn ratio was associated with a reduced mortality risk in NSCLC patients. Integrating the Trp/Kyn ratio with key clinical factors (smoking status, cancer stage, and surgery) into a Random Forest model significantly enhanced the prediction of 5-year mortality (test set AUC: 0.759).

conclusionsThe plasma EAAs were inversely associated with the risk of death in NSCLC patients, especially in those with advanced-stage disease. Among the eight EAAs, Trp emerged as the primary contributor. The Trp/Kyn ratio served as a valuable biomarker for risk stratification.

Indexed as

Amino Acids, EssentialCarcinoma, Non-Small-Cell LungLung NeoplasmsTryptophanAgedBayes TheoremFemaleHumansKynurenineMaleMiddle AgedPrognosisProportional Hazards ModelsRandom ForestRisk FactorsAmino Acids, EssentialKynurenineTryptophanBayesian kernel machine regressionEssential amino acidsMetabolomicsNon-small cell lung cancerQuantile-based g-computationRandom forestWeighted quantile sum

Identifiers

PMID41840648
PMCPMC13104387

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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.