Evidence map›Paper›PMID 27769779›Full record

ArticleCancer letters2017

Synergistic inhibitory effects of Celecoxib and Plumbagin on melanoma tumor growth.

Raghavendra Gowda, Arati Sharma, Gavin P Robertson

Open access · greenAbstract read
In one paragraph

Article in Cancer letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 43 citations in OpenAlex.

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  13. Nanoliposomal delivery of cytosolic phospholipase ANanomedicine : nanotechnology, biology, and medicine · 2018
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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

3 authors at 1 institution in 1 country.

Raghavendra GowdaDepartment of Pharmacology, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; The Penn State Melanoma Center, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; Penn State Melanoma Therapeutics Program, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; Foreman Foundation for Melanoma Research, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states.
Arati SharmaDepartment of Pharmacology, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states.
Gavin P RobertsonDepartment of Pharmacology, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; Department of Pathology, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; Department of Dermatology, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; Department of Surgery, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; The Penn State Melanoma Center, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; Penn State Melanoma Therapeutics Program, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states; Foreman Foundation for Melanoma Research, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United states. Electronic address: gprobertson@psu.edu.
Pennsylvania State University · US

Funding

Targeted Chemoprevention for MelanomaR01CA136667 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI ROBERTSON, GAVIN P. · 2010 to 2014
$2.1M
Akt3 Signaling as a Therapeutic TargetR01CA127892 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI ROBERTSON, GAVIN P. · 2008 to 2012
$1.5M
Synergistically Acting Targeted Therapeutics for MelanomaR01CA138634 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI ROBERTSON, GAVIN P. · 2010 to 2014
$1.5M
NCI NIH HHS R01 CA127892NCI NIH HHS R01 CA136667NCI NIH HHS R01 CA138634
6 · The paper itself

Abstract

Melanoma is a highly drug resistant cancer. To circumvent this problem, a class of synergistically acting drug combinations, which inhibit multiple key pathways in melanoma cells, could be used as one approach for long-term treatment of this deadly disease. A screen has been undertaken on cell lines to identify those that could be combined to synergistically kill melanoma cells. Plumbagin and Celecoxib are two agents that were identified to synergistically kill melanoma cells by inhibiting the COX-2 and STAT3 pathways, which are constitutively activated in up to 70% of melanomas. The combination of these two drugs was more effective at killing melanoma cells than normal cells and decreased cellular proliferation as well as induced apoptosis of cultured cells. The drug combination inhibited development of xenograft melanoma tumors by up to 63% without affecting animal weight or blood biomarkers of organ function, suggesting negligible toxicity. Mechanistically, combination of Celecoxib and Plumbagin decreased melanoma cell proliferation and retarded vascular development of tumors mediated by inhibition of COX-2 and STAT3 leading to decreased levels of key cyclins key on which melanoma cell were dependent for survival.

Indexed as

AnimalsAntineoplastic Agents, PhytogenicAntineoplastic Combined Chemotherapy ProtocolsApoptosisCelecoxibCell Line, TumorCell ProliferationCyclinsCyclooxygenase 2Cyclooxygenase 2 InhibitorsDose-Response Relationship, DrugDrug Resistance, NeoplasmDrug SynergismG2 Phase Cell Cycle CheckpointsHumansMelanomaAntineoplastic Agents, PhytogenicCelecoxibCyclinsCyclooxygenase 2Cyclooxygenase 2 InhibitorsNaphthoquinonesplumbaginPTGS2 protein, humanSTAT3 protein, humanSTAT3 Transcription FactorCelecoxibCOX-2PlumbaginSTAT3SynergyTumor development

Identifiers

PMID27769779
PMCPMC11694598
OpenAlexW2535807734

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.