Evidence map›Paper›PMID 32492470›Full record

ReviewBiochimica et biophysica acta. Reviews on cancer2020

Gambogic acid: A shining natural compound to nanomedicine for cancer therapeutics.

Elham Hatami, Meena Jaggi, Subhash C Chauhan, Murali M Yallapu

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Reviews on cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
12.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 118 citations in OpenAlex.

  1. Review
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  7. Therapeutic Potential of Plant Phenolic Acids Combating Cancer Drug Resistance.Recent advances in food, nutrition & agriculture · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Elham HatamiDepartment of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, USA.
Meena JaggiDepartment of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, USA; Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
Subhash C ChauhanDepartment of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, USA; Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
Murali M YallapuDepartment of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, USA; Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA. Electronic address: murali.yallapu@utrgv.edu.
University of Tennessee Health Science Center · US

Funding

MUC13 Mucin in Colorectal Cancer Health DisparityR01CA204552 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2020
$1.7M
Development of Targeted Nanotechnology Platform for Pancreatic CancerR01CA206069 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
Targeted Nanotherapy for Pancreatic CancerR01CA210192 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
PSMA Targeted Docetaxel Loaded Magnetic Nanoparticles for Prostate Cancer TherapyK22CA174841 · NCI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI YALLAPU, MURALI MOHAN · 2015 to 2017
$485k
NCI NIH HHS K22 CA174841NCI NIH HHS R01 CA204552NCI NIH HHS R01 CA206069NCI NIH HHS R01 CA210192
6 · The paper itself

Abstract

The United States Food and Drug Administration has permitted number of therapeutic agents for cancer treatment. Most of them are expensive and have some degree of systemic toxicity which makes overbearing in clinical settings. Although advanced research continuously applied in cancer therapeutics, but drug resistance, metastasis, and recurrence remain unanswerable. These accounts to an urgent clinical need to discover natural compounds with precisely safe and highly efficient for the cancer prevention and cancer therapy. Gambogic acid (GA) is the principle bioactive and caged xanthone component, a brownish gamboge resin secreted from the of Garcinia hanburyi tree. This molecule showed a spectrum of biological and clinical benefits against various cancers. In this review, we document distinct biological characteristics of GA as a novel anti-cancer agent. This review also delineates specific molecular mechanism(s) of GA that are involved in anti-cancer, anti-metastasis, anti-angiogenesis, and chemo-/radiation sensitizer activities. Furthermore, recent evidence, development, and implementation of various nanoformulations of gambogic acid (nanomedicine) have been described.

Indexed as

AnimalsAntineoplastic Agents, PhytogenicChemoradiotherapyClinical Trials, Phase II as TopicDose-Response Relationship, DrugDrug CarriersDrug CostsGarciniaHumansNanomedicineNanoparticlesNeoplasmsRadiation-Sensitizing AgentsResins, PlantTreatment OutcomeXanthonesAntineoplastic Agents, PhytogenicDrug Carriersgambogic acidRadiation-Sensitizing AgentsResins, PlantXanthonesAdjuvantCancer treatmentChemosensitizerChemotherapyDrug resistanceGambogic acidNanomedicineNanoparticles

Identifiers

PMID32492470
PMCPMC7484097
OpenAlexW3029236261

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.