Evidence map›Paper›PMID 27558154›Full record

ArticleBMC cancer2016

Identification of therapeutic targets applicable to clinical strategies in ovarian cancer.

Marianne K Kim, Natasha Caplen, Sirisha Chakka, Lidia Hernandez, Carrie House, Georgios Pongas, Elizabeth Jordan, Christina M Annunziata

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

8 authors at 1 institution in 1 country.

Marianne K KimWomen's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Natasha CaplenGene Silencing Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Sirisha ChakkaGene Silencing Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Lidia HernandezWomen's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Carrie HouseWomen's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Georgios PongasWomen's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Elizabeth JordanWomen's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Christina M AnnunziataWomen's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA. annunzic@mail.nih.gov.ORCID 0000-0003-2033-6532
National Cancer Institute · US

Funding

Nuclear Factor-kappaB in Ovarian CancerZIABC011054 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ANNUNZIATA, CHRISTINA · 2009 to 2023
$12.1M
Nuclear Factor-kappaB in Ovarian CancerZ01BC011054 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ANNUNZIATA, CHRISTINA · 2008 to 2008
$514k
Intramural NIH HHS Z01 BC011054
6 · The paper itself

Abstract

backgroundshRNA-mediated lethality screening is a useful tool to identify essential targets in cancer biology. Ovarian cancer (OC) is extremely heterogeneous and most cases are advanced stages at diagnosis. OC has a high response rate initially, but becomes resistant to standard chemotherapy. We previously employed high throughput global shRNA sensitization screens to identify NF-kB related pathways. Here, we re-analyzed our previous shRNA screens in an unbiased manner to identify clinically applicable molecular targets.

methodsWe proceeded with siRNA lethality screening using the top 55 genes in an expanded set of 6 OC cell lines. We investigated clinical relevance of candidate targets in The Cancer Genome Atlas OC dataset. To move these findings towards the clinic, we chose four pharmacological inhibitors to recapitulate the top siRNA effects: Oxozeaenol (for MAP3K7/TAK1), BI6727 (PLK1), MK1775 (WEE1), and Lapatinib (ERBB2). Cytotoxic effects were measured by cellular viability assay, as single agents and in 2-way combinations. Co-treatments were evaluated in either sequential or simultaneous exposure to drug for short term and extended periods to simulate different treatment strategies.

resultsLoss-of-function shRNA screens followed by short-term siRNA validation screens identified therapeutic targets in OC cells. Candidate genes were dysregulated in a subset of TCGA OCs although the alterations of these genes showed no statistical significance to overall survival. Pharmacological inhibitors such as Oxozeaenol, BI6727, and MK1775 showed cytotoxic effects in OC cells regardless of cisplatin responsiveness, while all OC cells tested were cytostatic to Lapatinib. Co-treatment with BI6727 and MK1775 at sub-lethal concentrations was equally potent to BI6727 alone at lethal concentrations without cellular re-growth after the drugs were washed off, suggesting the co-inhibition at reduced dosages may be more efficacious than maximal single-agent cytotoxic concentrations.

conclusionsLoss-of-function screen followed by in vitro target validation using chemical inhibitors identified clinically relevant targets. This approach has the potential to systematically refine therapeutic strategies in OC. These molecular target-driven strategies may provide additional therapeutic options for women whose tumors have become refractory to standard chemotherapy.

Indexed as

TranscriptomeBlotting, WesternFemaleFlow CytometryGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansNF-kappa BOvarian NeoplasmsRNA, Small InterferingNF-kappa BRNA, Small InterferingMAP3K7/TAK1Ovarian cancerPLK1WEE1

Identifiers

PMID27558154
PMCPMC4997769
OpenAlexW2517370215

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.