Evidence map›Paper›PMID 30109783›Full record

ArticleCancer medicine2018

Characterization and drug sensitivity of a novel human ovarian clear cell carcinoma cell line genomically and phenotypically similar to the original tumor.

Miriam Franklin, Lucy Gentles, Elizabeth Matheson, Nick Bown, Paul Cross, Angela Ralte, Connor Gilkes-Immeson, Alice Bradbury, Maryam Zanjirband, John Lunec and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. miR-16-5p enhances sensitivity to RG7388 through targetingCancer drug resistance (Alhambra, Calif.) · 2023
    Article
  5. Article
  6. Negative value of CD10Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  7. Review
  8. Review
  9. Article
  10. 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

13 authors at 6 institutions in 2 countries.

Miriam FranklinNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Lucy GentlesNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Elizabeth MathesonNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Nick BownNorthern Genetics Service, Institute of Genetic Medicine, Newcastle upon Tyne, UK.
Paul CrossPathology Department, Queen Elizabeth Hospital, Gateshead, UK.
Angela RaltePathology Department, Queen Elizabeth Hospital, Gateshead, UK.
Connor Gilkes-ImmesonNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Alice BradburyNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Maryam ZanjirbandNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
John LunecNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Yvette DrewNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Rachel O'DonnellNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Nicola J CurtinNorthern Institute for Cancer Research, Medical School, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0003-1369-1843
Newcastle University · GBQueen Elizabeth Hospital · GBFreeman Hospital · GBInstitute of Genetics and Cancer · GBManchester Academic Health Science Centre · GBUniversity of Isfahan · IR

Funding

Medical Research Council MR/N017838/1Wellcome Trust 206723/Z/17/Z
6 · The paper itself

Abstract

NUCOLL43 is a novel ovarian clear cell carcinoma (O-CCC) cell line that arose from a primary culture of a patient's malignant ascites. The cells grow reliably in cell culture with a doubling time of approx. 45 hours and form colonies at high efficiency. They have a very high degree of loss of heterozygosity (LOH) affecting approximately 85% of the genome, mostly copy neutral and almost identical to the original tumor. The cells express epithelial (pan-cytokeratin) and mesenchymal (vimentin) characteristics, CA125 and p16, like the original tumor. They also express ARID1A but not HNF-1β and, like the original tumor, and are negative for p53 expression, with no evidence of p53 function. NUCOLL43 cells express all other DNA damage response proteins investigated and have functional homologous recombination DNA repair. They are insensitive to cisplatin, the PARP inhibitor rucaparib, and MDM2 inhibitors but are sensitive to camptothecin, paclitaxel, and NVP-BEZ235. The NUCOLL43 cell line represents a distinct subtype of O-CCC that is p53 and HNF-1β null but expresses ARID1A. Its high degree of similarity with the original tumor genomically and proteomically, as well as the high level of LOH, make this an interesting cell line for O-CCC research. It has been deposited with Ximbio.

Indexed as

Genome-Wide Association StudyPharmacogenomic VariantsAdenocarcinoma, Clear CellBiopsyCell Line, TumorDrug Resistance, NeoplasmFemaleGenomicsHumansMicrosatellite RepeatsMiddle AgedOvarian NeoplasmsPhenotypeRecombinational DNA RepairTomography, X-Ray Computedcytotoxic drugsDNA repairloss of heterozygositynew cell lineNVP-BEZ235ovarian clear cell carcinomap53PARP inhibitor

Identifiers

PMID30109783
PMCPMC6144150
OpenAlexW2886615635

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.