Evidence map›Paper›PMID 40908374›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025

Nutritional indicators as predictive and prognosis biomarkers for neoadjuvant chemoradiotherapy outcomes in patients with locally advanced rectal cancer.

Zhenyong Shao, Yihe Zou, Changlin Zou, Yuyan Xu

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhenyong ShaoDepartment of Radiotherapy, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310058, Zhejiang Province, China.
Yihe ZouThe First School of Clinical Medicine, Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Changlin ZouDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Yuyan XuDepartment of Radiotherapy, Tongde Hospital of Zhejiang Province, Gucui Road, Hangzhou, 310012, Zhejiang Province, China. xuyuyan97@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the association between the change ratios of nutritional indicators and the efficacy of neoadjuvant chemoradiotherapy (nCRT) and survival in patients with locally advanced rectal cancer (LARC).

methodsThis study comprised 208 LARC patients with serial measurements of nutritional indicators including red blood cell count (RBC), hemoglobin (HB), platelet count (PLT), prognostic nutritional index (PNI), and body mass index (BMI). Stratification by pathological response was followed by Cox regression modeling for survival analysis (DFS/OS) and logistic regression for nCRT response prediction. The receiver operating characteristic (ROC) curves were used to measure the prediction power of the independent nutritional markers.

resultsMultivariate logistic regression analysis confirmed RBC and HB were independent predictors for the efficacy of nCRT. RBC and HB were used to predict the area under the ROC curve of the efficacy of nCRT, which was greater than the single indicator prediction of the change ratio of RBC or HB. Multivariate Cox regression analyses revealed that HB was significantly associated with DFS and OS in LARC patients.

conclusionRBC and HB independently predicted the efficacy of nCRT and HB was significantly associated with DFS and OS in patients with LARC. Patients maintaining optimal nutritional parameters throughout the treatment exhibited significantly improved nCRT response rates and survival outcomes.

Indexed as

ChemoradiotherapyNeoadjuvant TherapyNutritional StatusRectal NeoplasmsAdultAgedBiomarkersBody Mass IndexDisease-Free SurvivalErythrocyte CountFemaleHemoglobinsHumansLogistic ModelsMaleMiddle AgedBiomarkersHemoglobinsLocally advanced rectal cancerNeoadjuvant chemoradiotherapyNutritional indicatorsPathological responseSurvival

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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 Socratic graph.