ReviewBiomedicines2024
Protective Effects of High-Density Lipoprotein on Cancer Risk: Focus on Multiple Myeloma.
Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Association of the uric acid to high-density lipoprotein cholesterol ratio with breast cancer odds: a retrospective study.Frontiers in medicine · 2026Article
- HDL Cholesterol Levels and Pancreatic Cancer Risk: Protective Effects Revealed.Current cancer drug targets · 2026Article
- Plasma metabolic landscape unveils key regulators of leukemia subtype progression.Future science OA · 2025Article
- NIR II-Guided Photoactivatable Silencing Polyplex Boosts Cancer Immunotherapy.Exploration (Beijing, China) · 2025Article
- Tumor Microenvironment, Inflammation, and Inflammatory Prognostic Indices in Diffuse Large B-Cell Lymphomas: A Narrative Review.International journal of molecular sciences · 2025Review
- Prognostic significance of the lymphocyte-to-high-density lipoprotein ratio in long-term efficacy of combined immunotherapy for advanced non-small cell lung cancer.Frontiers in oncology · 2025Article
- Lipid metabolism in multiple myeloma: pathogenesis, therapeutic opportunities, and future directions.Frontiers in oncology · 2025Review
- Assessing the causal relationships between circulating metabolic biomarkers and breast cancer by using mendelian randomization.Frontiers in genetics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipid metabolism is intrinsically linked to tumorigenesis. And one of the most important characteristics of cancer is the modification of lipid metabolism and its correlation with oncogenic signaling pathways within the tumors. Because lipids function as signaling molecules, membrane structures, and energy sources, lipids are essential to the development of cancer. Above all, the proper immune response of tumor cells depends on the control of lipid metabolism. Changes in metabolism can modify systems that regulate carcinogenesis, such as inflammation, oxidative stress, and angiogenesis. The dependence of various malignancies on lipid metabolism varies. This review delves into the modifications to lipid metabolism that take place in cancer, specifically focusing on multiple myeloma. The review illustrates how changes in different lipid pathways impact the growth, survival, and drug-responsiveness of multiple myeloma cells, in addition to their interactions with other cells within the tumor microenvironment. The phenotype of malignant plasma cells can be affected by lipid vulnerabilities, and these findings offer a new avenue for understanding this process. Additionally, they identify novel druggable pathways that have a major bearing on multiple myeloma care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.