Evidence map›Paper›PMID 28572534›Full record

ArticleOncotarget2017

Contrast media enhancement reduction predicts tumor response to presurgical molecular-targeting therapy in patients with advanced renal cell carcinoma.

Shogo Hosogoe, Shingo Hatakeyama, Ayumu Kusaka, Itsuto Hamano, Yoshimi Tanaka, Kazuhisa Hagiwara, Hideaki Hirai, Satoko Morohashi, Hiroshi Kijima, Hayato Yamamoto and 6 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

16 authors.

Shogo HosogoeDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Shingo HatakeyamaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Ayumu KusakaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Itsuto HamanoDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Yoshimi TanakaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Kazuhisa HagiwaraDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hideaki HiraiDepartment of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Satoko MorohashiDepartment of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hiroshi KijimaDepartment of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hayato YamamotoDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Yuki TobisawaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Tohru YoneyamaDepartment of Advanced Transplant and Regenerative Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Takahiro YoneyamaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Yasuhiro HashimotoDepartment of Advanced Transplant and Regenerative Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Takuya KoieDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Chikara OhyamaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveA quantitative tumor response evaluation to molecular-targeting agents in advanced renal cell carcinoma (RCC) is debatable. We aimed to evaluate the relationship between radiologic tumor response and pathological response in patients with advanced RCC who underwent presurgical therapy.

resultsOf 34 patients, 31 underwent scheduled radical nephrectomy. Presurgical therapy agents included axitinib (n = 26), everolimus (n = 3), sunitinib (n = 1), and axitinib followed by temsirolimus (n = 1). The major presurgical treatment-related adverse event was grade 2 or 3 hypertension (44%). The median radiologic tumor response by RECIST, Choi, and CMER were -19%, -24%, and -49%, respectively. Among the radiologic tumor response tests, CMER showed a higher association with tumor necrosis in surgical specimens than others. Ki67/MIB1 status was significantly decreased in surgical specimens than in biopsy specimens. The magnitude of the slope of the regression line associated with the tumor necrosis percentage was greater in CMER than in Choi and RECIST. MATERIALS AND

methodsBetween March 2012 and December 2016, we prospectively enrolled 34 locally advanced and/or metastatic RCC who underwent presurgical molecular-targeting therapy followed by radical nephrectomy. Primary endpoint was comparison of radiologic tumor response among Response Evaluation Criteria in Solid Tumors (RECIST), Choi, and contrast media enhancement reduction (CMER). Secondary endpoint included pathological downstaging, treatment related adverse events, postoperative complications, Ki67/MIB1 status, and tumor necrosis.

conclusionsCMER may predict tumor response after presurgical molecular-targeting therapy. Larger prospective studies are needed to develop an optimal tumor response evaluation for molecular-targeting therapy.

Indexed as

Molecular Targeted TherapyPreoperative CareRadiographic Image EnhancementTomography, X-Ray ComputedAgedAntineoplastic AgentsCarcinoma, Renal CellContrast MediaFemaleHumansKidney NeoplasmsMaleMiddle AgedNecrosisNeoplasm StagingNephrectomyAntineoplastic AgentsContrast MediaProtein Kinase Inhibitorsaxitinibpresurgical therapyradiological responserenal cell carcinoma

Identifiers

PMID28572534
PMCPMC5564804

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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.