Evidence map›Paper›PMID 32951896›Full record

ArticleGynecologic oncology2020

mRNA expression in low grade serous ovarian cancer: Results of a nanoString assay in a diverse population.

Scott E Jordan, Heba Saad, Alex Sanchez Covarrubias, John Siemon, J Matt Pearson, Brian M Slomovitz, Marilyn Huang, Andre Pinto, Matthew Schlumbrecht, Sophia Hl George

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 7 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

10 authors at 3 institutions in 1 country.

Scott E JordanSylvester Comprehensive Cancer Center, University of Miami, Division of Gynecologic Oncology, USA.
Heba SaadUniversity of Miami Miller School of Medicine, Department of Pathology, USA.
Alex Sanchez CovarrubiasSylvester Comprehensive Cancer Center, University of Miami, Division of Gynecologic Oncology, USA.
John SiemonSylvester Comprehensive Cancer Center, University of Miami, Division of Gynecologic Oncology, USA.
J Matt PearsonSylvester Comprehensive Cancer Center, University of Miami, Division of Gynecologic Oncology, USA.
Brian M SlomovitzSylvester Comprehensive Cancer Center, University of Miami, Division of Gynecologic Oncology, USA; Dr. Slomovitz present affiliation: Broward Health, Florida International University Wertheim College Of Medicine, USA.
Marilyn HuangSylvester Comprehensive Cancer Center, University of Miami, Division of Gynecologic Oncology, USA.
Andre PintoUniversity of Miami Miller School of Medicine, Department of Pathology, USA.
Matthew SchlumbrechtSylvester Comprehensive Cancer Center, University of Miami, Division of Gynecologic Oncology, USA.
Sophia Hl GeorgeSylvester Comprehensive Cancer Center, University of Miami, Division of Gynecologic Oncology, USA. Electronic address: Sophia.george@med.miami.edu.
Sylvester Comprehensive Cancer Center · USUniversity of Miami · USBroward Health · US

Funding

Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI George S. Grills · 2019 to 2026
$24.1M
NCI NIH HHS P30 CA240139NIMHD NIH HHS L60 MD014321
6 · The paper itself

Abstract

objectiveMutations in the MAP kinase pathway (KRAS, NRAS, BRAF) are common in low grade serous ovarian carcinoma (LGSOC). The effect of these and other mutations on RNA transcription in this disease is poorly understood. Our objective was to describe patterns of somatic mutations and gene transcription in a racially diverse population with LGSOC.

methodsUtilizing an institutional tumor registry, patients with LGSOC were identified and charts were reviewed. RNA was extracted from available tumor tissue. Commercial tumor profiling results were analyzed with PanCancer pathway nanoString mRNA expression data. Along with nanoString n-Solver software, Chi-squared, Fishers Exact, and Cox proportional hazards models were used for statistical analysis, with significance set at p < 0.05.

results39 patients were identified-20% Black, 43% Hispanic, and 36% non-Hispanic White. 18 patients had commercial somatic DNA test results, and 23 had available tumor tissue for RNA extraction and nanoString analysis. The most common somatic alterations identified was KRAS (11 patients, 61%), followed by ERCC1 and TUBB3 (9 each, 50%). KRAS mutations were less common in smokers (14.3% vs 90.9%, p = 0.002). RNA expression analysis demonstrated a greater than two-fold decrease in expression of HRAS in tumors from older patients (p = 0.04), and a greater than two-fold decrease in the expression of HRAS in recurrent tumors (p = 0.007). No significant differences were seen in somatic testing results, RNA expression analysis, or progression free survival between different racial and ethnic cohorts.

conclusionsSomatic deficiencies in ERCC1, TUBB3, and KRAS are common in LGSOC in a population of minority patients. HRAS demonstrates decreased expression in tumors from older patients and recurrent tumors.

Indexed as

AdultAgedBiomarkers, TumorCystadenocarcinoma, SerousFemaleGene Expression ProfilingGerm-Line MutationHumansMiddle AgedOvarian NeoplasmsProgression-Free SurvivalProto-Oncogene Proteins p21(ras)RegistriesRetrospective StudiesRNA, MessengerTubulinBiomarkers, TumorERCC2 protein, humanHRAS protein, humanKRAS protein, humanProto-Oncogene Proteins p21(ras)RNA, MessengerTUBB3 protein, humanTubulinXeroderma Pigmentosum Group D ProteinDisparitiesHealth disparitiesLow grade serous ovarian cancernanoStringSomatic testing

Identifiers

PMID32951896
PMCPMC8054444
OpenAlexW3087491450

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.