m+Medelevator.RU
← Поиск публикаций
Cancer medicine · 2026

Multi-Transcriptomic Analysis Reveals That EREG-Driven TME Crosstalk Defines Anti-EGFR Response in Colorectal Cancer.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
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.

Taniguchi Atsuki, Kagawa Shunsuke, Nogi Shohei, Yagi Tomohiko, Kanaya Nobuhiko, Kuroda Shinji, Kikuchi Satoru, Kakiuchi Yoshihiko, Tazawa Hiroshi, Fujiwara Toshiyoshi

Аннотация

Sidedness influences colorectal cancer (CRC) prognosis and treatment response, yet the mechanism dictating differential EGFR inhibitor (EGFRI) sensitivity is unclear. This study investigated the tumor microenvironment (TME) in relation to EGFRI eligibility-clinically defined by factors such as tumor sidedness (e.g., left-sided), RAS/BRAF wild-type status, and microsatellite stability (MSS)-using integrated single-cell RNA sequencing (scRNA-seq), with bulk RNA-seq and spatial transcriptomics validation. We found cancer cell features reflected EGFRI eligibility more strongly than sidedness. EGFRI eligible tumors exhibited high Epiregulin (EREG) expression by cancer cells. Cell interaction analysis revealed a specific "EREG/EGFR/CSF axis" in EGFRI eligible CRC: EREG derived from cancer cell stimulates EGFR-expressing non-myCAF subtypes of cancer-associated fibroblasts (CAFs), which signal via CSF to M1/M2-like Tumor-Associated Macrophages/Monocytes (TAM/TAMo), potentially promoting M2 polarization. Spatial analysis confirmed the proximity of these interacting cell populations and localized EGFR pathway activation near cancer cells specifically in eligible tumors. This study provides a TME-centric view of EGFRI eligibility, identifying a key intercellular communication network driving differential responses. These findings suggest TME features could offer more precise patient stratification than sidedness alone, potentially improving CRC therapeutic strategies.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты