Evidence map›Paper›PMID 42339115›Full record

ArticleFrontiers in oncology2026

An exploratory integrative analysis of plasma transcriptomic and proteomic predictors of response to total neoadjuvant therapy in locally advanced rectal cancer.

Zonglin Zhu, Kaizhen Wen, Baoyi Zou, Yanhua Kang, Jingqing Chen, Bin Zhu, Liping Fan, Haobo Huang

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Article in Frontiers in oncology, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zonglin ZhuMedical Laboratory Center, Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian), Quanzhou, Fujian, China.
Kaizhen WenMedical Laboratory Center, Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian), Quanzhou, Fujian, China.
Baoyi ZouDepartment of Blood Transfusion, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Yanhua KangMedical Laboratory Center, Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian), Quanzhou, Fujian, China.
Jingqing ChenMedical Laboratory Center, Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian), Quanzhou, Fujian, China.
Bin ZhuDepartment of Laboratory Medicine, Fujian Medical University Union Hospital, Fuzhou Fujian, China.
Liping FanDepartment of Blood Transfusion, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Haobo HuangDepartment of Blood Transfusion, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: LARC patients exhibit heterogeneity in their response to total neoadjuvant therapy (TNT). This study aims to screen and identify plasma biomarkers associated with treatment response to TNT in patients with locally advanced rectal cancer (LARC) to predict pathological complete response (pCR). Methods: Pre-treatment plasma RNA sequencing and functional annotation were performed in six patients with LARC (three pCR and three non-pCR) to identify differentially expressed genes (DEGs) associated with TNT response. The Olink Results: Compared to the non-pCR group, 365 DEGs were upregulated, and 198 were downregulated in the pCR group. These genes are involved in pathways related to cell growth and death, signal transduction, metabolism, the immune system, insulin secretion, mitophagy, and neutrophil extracellular trap formation. The transcriptomic analysis was conducted in a limited discovery cohort, and these DEGs identified should be interpreted with extreme caution due to the high risk of false discovery. Plasma levels of Fas ligand (FASLG), CD160, andLY6/PLAUR domain containing 3 (LYPD3) in the pCR group were higher than those in the non-pCR group. Receiver operating characteristic (ROC) curve analysis showed that a multi-marker panel consisting of FASLG, CD160, and LYPD3 was superior to three individual indicators in predicting pCR, with an area under the curve (AUC) of 0.791 (95% CI, 0.668-0.885). According to the optimal cutoff value of the multi-marker panel, all LARC patients were stratified into high (n=34, 55.7%) and low (n=27, 44.3%) expression groups. Statistical analysis indicated that high expression group was associated with a higher proportion of EMVI-negative status and a higher pCR rate. High expression of multi-marker was associated with pCR in multivariate analysis. Conclusions: The multi-marker panel consisting of FASLG, CD160, and LYPD3 may serve as a candidate predictor of treatment response in LARC patients undergoing TNT, warranting further validation in larger, multicenter cohorts.

Indexed as

locally advanced rectal cancerpathologic complete responseplasmapredictorproteomicstotal neoadjuvant therapytranscriptomics

Identifiers

PMID42339115
PMCPMC13283786

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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.