Evidence map›Paper›PMID 27390344›Full record

ArticleMolecular cancer therapeutics2016

Dual and Specific Inhibition of NAMPT and PAK4 By KPT-9274 Decreases Kidney Cancer Growth.

Omran Abu Aboud, Ching-Hsien Chen, William Senapedis, Erkan Baloglu, Christian Argueta, Robert H Weiss

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

90 citing papers in PubMed, 141 citations in OpenAlex.

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  15. Mechanisms of resistance to NAMPT inhibitors in cancer.Cancer drug resistance (Alhambra, Calif.) · 2025
    Review
  16. Inhibition of NAMPT by PAK4 Inhibitors.International journal of molecular sciences · 2024
    Article
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  20. Review

30 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

Omran Abu AboudDivision of Nephrology, Department of Internal Medicine, University of California, Davis, Davis, California.
Ching-Hsien ChenDivision of Nephrology, Department of Internal Medicine, University of California, Davis, Davis, California.
William SenapedisKaryopharm Therapeutics, Inc, Newton, Massachusetts.
Erkan BalogluKaryopharm Therapeutics, Inc, Newton, Massachusetts.
Christian ArguetaKaryopharm Therapeutics, Inc, Newton, Massachusetts.
Robert H WeissDivision of Nephrology, Department of Internal Medicine, University of California, Davis, Davis, California. Cancer Center, University of California, Davis, Davis, California. Medical Service, Sacramento VA Medical Center, Sacramento, California. rhweiss@ucdavis.edu.
Karyopharm Therapeutics (United States) · USUniversity of California, Davis · USSacramento VA Medical Center · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Metabolomic discovery and validation of urinary biomarkers for kidney cancerR01CA135401 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WEISS, ROBERT H. · 2009 to 2013
$1.5M
A Metabolomic Approach to Discovering Biomarkers for ADPKDR01DK082690 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WEISS, ROBERT H. · 2009 to 2010
$696k
The addition of fish oil to sorafenib may prevent kidney cancer metastasisR03CA181837 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WEISS, ROBERT H. · 2014 to 2015
$156k
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA135401NCI NIH HHS R03 CA181837NIDDK NIH HHS R01 DK082690
6 · The paper itself

Abstract

Kidney cancer (or renal cell carcinoma, RCC) is the sixth most common malignancy in the United States and one of the relatively few whose incidence is increasing. Because of the near universal resistance which occurs with the use of current treatment regimens, reprogrammed metabolic pathways are being investigated as potential targets for novel therapies of this disease. Borrowing from studies on other malignancies, we have identified the PAK4 and NAD biosynthetic pathways as being essential for RCC growth. We now show, using the dual PAK4/NAMPT inhibitor KPT-9274, that interference with these signaling pathways results in reduction of G2-M transit as well as induction of apoptosis and decrease in cell invasion and migration in several human RCC cell lines. Mechanistic studies demonstrate that inhibition of the PAK4 pathway by KPT-9274 attenuates nuclear β-catenin as well as the Wnt/β-catenin targets cyclin D1 and c-Myc. Furthermore, NAPRT1 downregulation, which we show occurs in all RCC cell lines tested, makes this tumor highly dependent on NAMPT for its NAD requirements, such that inhibition of NAMPT by KPT-9274 leads to decreased survival of these rapidly proliferating cells. When KPT-9274 was administered in vivo to a 786-O (VHL-mut) human RCC xenograft model, there was dose-dependent inhibition of tumor growth with no apparent toxicity; KPT-9274 demonstrated the expected on-target effects in this mouse model. KPT-9274 is being evaluated in a phase I human clinical trial in solid tumors and lymphomas, which will allow this data to be rapidly translated into the clinic for the treatment of RCC. Mol Cancer Ther; 15(9); 2119-29. ©2016 AACR.

Indexed as

AcrylamidesAminopyridinesAnimalsAntibodies, MonoclonalAntineoplastic AgentsApoptosisbeta CateninCell CycleCell Line, TumorCell MovementCell ProliferationCell SurvivalDisease Models, AnimalHumansKidney NeoplasmsMaleAcrylamidesAminopyridinesAntibodies, MonoclonalAntineoplastic Agentsbeta CateninKPT-9274NADNicotinamide Phosphoribosyltransferasep21-Activated KinasesPAK4 protein, human

Identifiers

PMID27390344
PMCPMC5010932
OpenAlexW2469494794

What OpenQuestion holds

Textmetadata
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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.