Unlocking the Potential of Polysaccharides for the Treatment of Lung Cancer

Natural polysaccharides represent a promising complementary approach for lung cancer therapy, given their potential to inhibit tumor progression, enhance immune function, and improve the effectiveness of conventional drugs. Continued research is essential to fully elucidate their mechanisms of action and to translate these findings into effective clinical interventions.

Authors

Institutions

Publication Details

Journal
Anti-Cancer Agents in Medicinal Chemistry
Published
2025-09-01
DOI
https://doi.org/10.2174/0118715206395910250816110857
Primary Topic
Cancer Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unlocking the Potential of Polysaccharides for the Treatment of Lung Cancer

Rajnish Kumar, Himanshu Singh
Anti-Cancer Agents in Medicinal Chemistry
Cancer Research and Treatments
article

Unlocking the Potential of Polysaccharides for the Treatment of Lung Cancer

Rajnish Kumar, Himanshu Singh
article en

Abstract

Natural polysaccharides represent a promising complementary approach for lung cancer therapy, given their potential to inhibit tumor progression, enhance immune function, and improve the effectiveness of conventional drugs. Continued research is essential to fully elucidate their mechanisms of action and to translate these findings into effective clinical interventions.

Anti-Cancer Agents in Medicinal ChemistryVol. 25
Jaypee Institute of Information Technology (IN)
Openalex Percentile: Top 74%
Cancer Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.