ReviewCancers2020
Exploring the Therapeutic Potential of Membrane Transport Proteins: Focus on Cancer and Chemoresistance.
Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 26 citations in OpenAlex.
- Arginine Transporters in Human Cancers: Emerging Mechanisms and Clinical Implications.Biomolecules · 2026Review
- Glyco Ionic Liquids as Novel Nanoparticle Coatings to Enhance Triple-Negative Breast Cancer Drug Delivery.Advanced healthcare materials · 2025Article
- Single-Cell Analysis with Spatiotemporal Control of Local pH.ACS measurement science au · 2025Article
- Membrane transporter genes predict chemoradiotherapy response in patients with cervical cancer.Einstein (Sao Paulo, Brazil) · 2025Article
- Determining expression changes of ANO7 and SLC38A4 membrane transporters in colorectal cancer.Heliyon · 2024Article
- CrMP-Sol database: classification, bioinformatic analyses and comparison of cancer-related membrane proteins and their water-soluble variant designs.BMC bioinformatics · 2023Article
- Infrared Photoactivation Enables Improved Native Top-Down Mass Spectrometry of Transmembrane Proteins.Analytical chemistry · 2023Article
- Analysis of endometrial carcinoma TCGA reveals differences in DNA methylation in tumors from Black and White women.Gynecologic oncology · 2023Article
- Single nucleotide polymorphism patterns associated with a cancer resistant phenotype.Experimental and molecular pathology · 2022Article
- Clinical significance of P-class pumps in cancer.Oncology letters · 2021Review
- TRPM4 in Cancer-A New Potential Drug Target.Biomolecules · 2021Review
- Therapeutic Nanobodies Targeting Cell Plasma Membrane Transport Proteins: A High-Risk/High-Gain Endeavor.Biomolecules · 2021Review
- Electrochemotherapy with Calcium Chloride and 17β-Estradiol Modulated Viability and Apoptosis Pathway in Human Ovarian Cancer.Pharmaceutics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Improving the therapeutic efficacy of conventional anticancer drugs represents the best hope for cancer treatment. However, the shortage of druggable targets and the increasing development of anticancer drug resistance remain significant problems. Recently, membrane transport proteins have emerged as novel therapeutic targets for cancer treatment. These proteins are essential for a plethora of cell functions ranging from cell homeostasis to clinical drug toxicity. Furthermore, their association with carcinogenesis and chemoresistance has opened new vistas for pharmacology-based cancer research. This review provides a comprehensive update of our current knowledge on the functional expression profile of membrane transport proteins in cancer and chemoresistant tumours that may form the basis for new cancer treatment strategies.
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.