Evidence map›Paper›PMID 30949620›Full record

ArticleJCO precision oncology2018

Translating

Ruth T Casey, Mary A McLean, Basetti Madhu, Benjamin G Challis, Rogier Ten Hoopen, Thomas Roberts, Graeme R Clark, Deborah Pittfield, Helen L Simpson, Venkata R Bulusu and 7 more

Open access · hybridAbstract read
In one paragraph

Article in JCO precision oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Precision Medicine in Phaeochromocytoma and Paraganglioma.Journal of personalized medicine · 2021
    Review
  10. Review
  11. Review
  12. The use of hyperpolarisedBritish journal of cancer · 2021
    Review
  13. Review
  14. Succinate detection using in vivoEuropean journal of nuclear medicine and molecular imaging · 2020
    Article
  15. Oncometabolites in renal cancer.Nature reviews. Nephrology · 2020
    Review
  16. 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

17 authors at 1 institution in 1 country.

Ruth T CaseyDepartment of Medical Genetics, University of Cambridge and NIHR Cambridge Biomedical Research Centre and Cancer Research UK Cambridge Centre, CB2 OQQ, United Kingdom.
Mary A McLeanCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Basetti MadhuCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Benjamin G ChallisDepartment of Endocrinology, Cambridge University NHS Foundation Trust, Cambridge, CB2 OQQ, United Kingdom.
Rogier Ten HoopenDepartment of Pathology, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.
Thomas RobertsHaematology Oncology Diagnostic Service (HODS), Cambridge University NHS Foundation Trust, Cambridge, CB2 OQQ, United Kingdom.
Graeme R ClarkDepartment of Medical Genetics, University of Cambridge and NIHR Cambridge Biomedical Research Centre and Cancer Research UK Cambridge Centre, CB2 OQQ, United Kingdom.
Deborah PittfieldDepartment of Endocrinology, Cambridge University NHS Foundation Trust, Cambridge, CB2 OQQ, United Kingdom.
Helen L SimpsonDepartment of Diabetes and Endocrinology, University College London Hospitals, NHS Foundation Trust, London, NW1 2PG UK.
Venkata R BulusuDepartment of Medical Oncology, Cambridge University NHS Foundation Trust, Cambridge, CB2 OQQ, United Kingdom.
Kieran AllinsonDepartment of Histopathology Cambridge University NHS Foundation Trust and Cancer Research UK Cambridge Centre Cambridge, CB2 0QQ, United Kingdom.
Lisa HapperfieldDepartment of Immunohistochemistry, Cambridge University NHS Foundation Trust, Cambridge, CB2 OQQ, United Kingdom.
Soo-Mi ParkDepartment of Medical Genetics, University of Cambridge and NIHR Cambridge Biomedical Research Centre and Cancer Research UK Cambridge Centre, CB2 OQQ, United Kingdom.
Alison MarkerDepartment of Histopathology Cambridge University NHS Foundation Trust and Cancer Research UK Cambridge Centre Cambridge, CB2 0QQ, United Kingdom.
Olivier GigerDepartment of Pathology, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.
Eamonn R MaherDepartment of Medical Genetics, University of Cambridge and NIHR Cambridge Biomedical Research Centre and Cancer Research UK Cambridge Centre, CB2 OQQ, United Kingdom.
Ferdia A GallagherCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
University College London · GB

Funding

Cancer Research UK 11562Cancer Research UK 16628Cancer Research UK A16628
6 · The paper itself

Abstract

purposeMutations in the mitochondrial enzyme succinate dehydrogenase (SDH) subunit genes are associated with a wide spectrum of tumours including phaeochromocytoma and paraganglioma (PPGL) 1, 2, gastrointestinal stromal tumours (GIST) 3, renal cell carcinoma (RCC) 4 and pituitary adenomas5. SDH-related tumorigenesis is believed to be secondary to accumulation of the oncometabolite succinate. Our aim was to investigate the potential clinical applications of MRI spectroscopy ( PATIENTS AND

methodsFifteen patients were recruited to this study. Respiratory-gated single-voxel

resultsA succinate peak was seen in six patients, all of whom had a germline

conclusionsThis study has demonstrated the translation into clinical practice of

Indexed as

hereditaryimaging techniquemetabolic cancermetabolomicsTranslational

Identifiers

PMID30949620
PMCPMC6445359
OpenAlexW2795138001

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.