scispace - formally typeset
H

Huan-Rong Lan

Researcher at Zhejiang University

Publications -  14
Citations -  237

Huan-Rong Lan is an academic researcher from Zhejiang University. The author has contributed to research in topics: Cancer & Tumor microenvironment. The author has an hindex of 5, co-authored 14 publications receiving 119 citations.

Papers
More filters
Journal Article

Anti-angiogenesis or pro-angiogenesis for cancer treatment: focus on drug distribution.

TL;DR: The structural and functional abnormalities of the tumor microvasculature are summarized to highlight the importance of this phenomenon for chemotherapeutics distribution and the limitations of anti-angiogenic strategy in cancer treatment are summarized.
Journal ArticleDOI

Recent Trends in Nanocarrier-Based Targeted Chemotherapy: Selective Delivery of Anticancer Drugs for Effective Lung, Colon, Cervical, and Breast Cancer Treatment

TL;DR: The advances in this area through the review of novel NP drug formulations developed over the last year are described, focusing specifically on lung, colon, cervical, and breast cancers, and the future of NPs as potential treatment options are discussed.
Journal ArticleDOI

Tumor-Associated Macrophages Promote Oxaliplatin Resistance via METTL3-Mediated m6A of TRAF5 and Necroptosis in Colorectal Cancer.

TL;DR: Zhang et al. as discussed by the authors found that the density of macrophages infiltrated into colorectal cancer tissues from OX-resistant patients was significantly higher compared with the OX sensitive patients.
Journal ArticleDOI

Recent advances in carbohydrate-based cancer vaccines.

TL;DR: The present review describes the latest progress in carbohydrate-based cancer vaccines and their clinical evaluation in various cancers.
Journal ArticleDOI

Current progress in the clinical use of circulating tumor cells as prognostic biomarkers

TL;DR: The authors review the current clinical use of CTCs as prognostic biomarkers for several different cancers and suggest that the quantification of C TCs can lead to more accurate staging and decision making regarding options such as adjuvant chemotherapy.