Evidence map›Paper›PMID 27485054›Full record

ArticleCancer medicine2016

Association between targeted somatic mutation (TSM) signatures and HGS-OvCa progression.

Robyn A Lindley, Patrick Humbert, Cliff Larner, Eric H Akmeemana, Christopher R R Pendlebury

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Deaminase Modulation Driving a New Era in Drug Development.International journal of molecular sciences · 2025
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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

5 authors at 4 institutions in 1 country.

Robyn A LindleyDepartment of Pathology, University of Melbourne, Parkville, Victoria, 3010, Australia. robyn.lindley@unimelb.edu.au.
Patrick HumbertDepartment of Pathology, University of Melbourne, Parkville, Victoria, 3010, Australia.
Cliff LarnerSwinburne University of Technology, Hawthorn, Victoria, 3132, Australia.
Eric H AkmeemanaHealthIQ Pty Ltd, Melbourne, Victoria, 3000, Australia.
Christopher R R PendleburyAusBioCloud Pty Ltd, Melbourne, Victoria, 3000, Australia.ORCID 0000-0002-5789-4397
The University of Melbourne · AUAustin Health · AUMind Australia · AUSwinburne University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence already exists that the activation-induced cytidine deaminase (AID/APOBEC) and the adenosine deaminase (ADAR) families of enzymes are implicated as powerful mutagens in oncogenic processes in many somatic tissues. Each deaminase is identified by the DNA or RNA nucleotide sequence ("motif") surrounding the nucleotide targeted for deamination. The primary objective of this study is to develop an in silico approach to identify nucleotide sequence changes of the target motifs of key deaminases during oncogenesis. If successful, a secondary objective is to investigate if such changes are associated with disease progression indicators that include disease stage and progression-free survival time. Using a discovery cohort of 194 high-grade serous ovarian adenocarcinoma (HGS-OvCa) exomes, the results confirm the ability of the novel in silico approach used to identify changes in the preferred target motifs for AID, APOBEC3G, APOBEC3B, and ADAR1 during oncogenesis. Using this approach, a set of new cancer-progression associated signatures (C-PASs) were identified. Furthermore, it was found that the C-PAS identified can be used to differentiate between the cohort of patients that remained progression-free for longer than 60 months, from those in which disease progressed within 60 months (sensitivity 95%, specificity 90%). The spectrum of outcomes observed here could provide a foundation for future clinical assessment of susceptibility variants in ovarian, and several other cancers as disease progresses. The ability of the in silico methodology used to identify changes in deaminase motifs during oncogenesis also suggests new links between immune system function and tumorigenesis.

Indexed as

Genetic Predisposition to DiseaseMutationBiomarkers, TumorCystadenocarcinoma, SerousDisease ProgressionFemaleGenetic Association StudiesHumansKaplan-Meier EstimateNeoplasm GradingNeoplasm StagingOvarian NeoplasmsPrognosisBiomarkers, TumorCancer geneticscodon contextdeaminaseovarian cancertargeted somatic mutation

Identifiers

PMID27485054
PMCPMC5055158
OpenAlexW2477436231

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.