Evidence map›Paper›PMID 29871882›Full record

ArticleEndocrine connections2018

Novel genotype-phenotype correlations in five Chinese families with Von Hippel-Lindau disease.

Qiuli Liu, Gang Yuan, Dali Tong, Gaolei Liu, Yuting Yi, Jun Zhang, Yao Zhang, Lin-Ang Wang, Luofu Wang, Dianzheng Zhang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Endocrine connections, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 40% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

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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

15 authors at 3 institutions in 2 countries.

Qiuli LiuDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Gang YuanDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Dali TongDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Gaolei LiuDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Yuting YiGeneplus-Beijing InstituteBeijing, People's Republic of China.
Jun ZhangDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Yao ZhangDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Lin-Ang WangDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Luofu WangDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Dianzheng ZhangDepartment of Bio-Medical SciencesPhiladelphia College of Osteopathic Medicine, Philadelphia, Pennsylvania, USA.
Rongrong ChenGeneplus-Beijing InstituteBeijing, People's Republic of China.
Yanfang GuanGeneplus-Beijing InstituteBeijing, People's Republic of China.
Xin YiGeneplus-Beijing InstituteBeijing, People's Republic of China.
Weihua LanDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China jiangjun_64@163.com doclan@yeah.net.
Jun JiangDepartment of UrologyInstitute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China jiangjun_64@163.com doclan@yeah.net.
Army Medical University · CNDaping Hospital · CNPhiladelphia College of Osteopathic Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextVon Hippel-Lindau (VHL) disease manifests as a variety of benign and malignant neoplasms. Previous studies of VHL disease have documented several genotype-phenotype correlations; however, many such correlations are still unknown. Increased identification of new mutations and patients with previously described mutations will allow us to better understand how PATIENTS AND

designA total of 45 individuals from five unrelated families were evaluated, of which 21 patients were either diagnosed with VHL disease or showed strong evidence related to this disease. We compared the patients' gene sequencing results with their medical records including CT or MRI scans, eye examinations and laboratory/pathological examinations. Patients were also interviewed to obtain information regarding their family history.

resultsWe identified four missense mutations: c.239G>T (p.Ser80Ile), linked with VHL Type 2B, was associated with renal cell carcinoma, pheochromocytoma and hemangioma in the cerebellum; c.232A>T (p.Asn78Tyr) manifested as RCC alone and likely caused VHL Type 1; c.500G>A (p.Arg167Gln) mutation was more likely to cause VHL Type 2 than Type 1 as it preferentially induced Pheo and HB in the retina, cerebellum and spinal cord; c.293A>G (p.Try98Cys) was associated with Pheo and thus likely induced VHL Type 2.

conclusionsCharacterizing VHL disease genotype-phenotype correlations can enhance the ability to predict the risk of individual patients developing different VHL-related phenotypes. Ultimately, such insight will improve the diagnostics, surveillance and treatment of VHL patients. PRECIS: Four missense mutations in

Indexed as

hemangiomapheochromocytomarenal cell carcinomaVHL disease

Identifiers

PMID29871882
PMCPMC6026882
OpenAlexW2805343394

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Registered trials

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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.