m+Medelevator.RU
← Поиск публикаций
Biomedicines · 2026

Low Serum LDL-C Is Associated with Poorer Overall Survival and Lipid-Related Molecular Features in Colorectal Cancer.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Wang Juan, Hsieh Yifang, Wang Wenhong, Xu Jing

Аннотация

Background/Objectives: We investigated whether preoperative serum low-density lipoprotein cholesterol (LDL-C) is associated with prognosis and midkine (MK; encoded by MDK)-related molecular features in colorectal cancer (CRC). Methods: This exploratory translational study integrated a retrospective cohort of 437 surgically treated patients, CRC-focused public transcriptomic analyses of MDK, independent functional enrichment of STRING-derived MK interactors, and immunohistochemistry in tumors from the lowest and highest LDL-C quartiles (n = 10 per group). Overall survival was analyzed using Cox proportional hazards regression. Results: MDK mRNA expression was elevated in CRC and was associated with adverse clinicopathological features. STRING-derived MK interactors showed significant Gene Ontology enrichment for lipoprotein- and low-density lipoprotein-particle receptor-related functions. KEGG cholesterol metabolism showed nominal enrichment but did not remain significant after multiple-testing correction. In the clinical cohort, each 1 mmol/L increase in LDL-C was independently associated with a lower mortality risk (adjusted HR = 0.612, 95% CI, 0.361-0.998; p = 0.048). Tumors from the lowest LDL-C quartile showed higher MK and c-Fos expression and lower ABCA1 expression than tumors from the highest quartile. Conclusions: Lower preoperative LDL-C was associated with poorer overall survival and with exploratory tissue-level molecular differences in CRC. These independent data layers support an associative, hypothesis-generating framework that requires prospective and mechanistic validation.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты