Evidence map›Paper›PMID 24998594›Full record

ArticleSurgery today2015

Quinacrine for extremity melanoma in a mouse model of isolated limb perfusion (ILP).

Minhyung Kim, Asher B Blum, Michelle L Haslinger, Michael J Donahue, Daniel T Fisher, Joseph J Skitzki, Il Young Park

Abstract read
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In one paragraph

Article in Surgery today, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

7 authors at 2 institutions in 2 countries.

Minhyung KimDepartment of Surgical Oncology, Roswell Park Cancer Institute, Buffalo, NY, USA, minhyungkr@gmail.com.
Asher B Blum
Michelle L Haslinger
Michael J Donahue
Daniel T Fisher
Joseph J Skitzki
Il Young Park
Roswell Park Comprehensive Cancer Center · USCatholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeQuinacrine is a relatively non-toxic drug, once given almost exclusively for malaria. However, recent studies show that quinacrine can suppress nuclear factor-κB (NF-κB), and activate p53 signaling. We investigated the anti-cancer effect of quinacrine, using a novel mouse model of isolated limb perfusion (ILP) for extremity melanoma.

methodFemale C57BL/6 mice (22-25 g) were injected with B16 melanoma cells (1 × 10(5)) subcutaneously in the distal thigh. After 7 days of tumor establishment, mice were perfused with either PBS, melphalan (90 µg), or quinacrine (3.5 and 4.5 mg) through the superficial femoral artery for 30 min at either 37 or 42 °C in a non-oxygenated circuit. We analyzed morbidity, toxicity, tumor apoptosis, and responses.

resultsMelanoma cell death following in vitro exposure to quinacrine was dose and time dependent. A significant decrease in mean tumor volume was observed after perfusion with low-dose and high-dose quinacrine (both P = 0.002) at 37 °C as well as after perfusion with low-dose quinacrine (P = 0.0008) at 42 °C.

conclusionQuinacrine has demonstrable efficacy against melanoma cells in vitro and in a clinically relevant model of ILP. Further studies to evaluate the optimal conditions for quinacrine usage are warranted.

Indexed as

Antineoplastic AgentsExtremitiesAnimalsDisease Models, AnimalFemaleMelanoma, ExperimentalMice, Inbred C57BLNeoplasm TransplantationNF-kappa BPerfusionQuinacrineSkin NeoplasmsTumor Cells, CulturedTumor Suppressor Protein p53Antineoplastic AgentsNF-kappa BQuinacrineTumor Suppressor Protein p53

Identifiers

PMID24998594
OpenAlexW1999616391

What OpenQuestion holds

Textmetadata
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.