Evidence map›Paper›PMID 26998291›Full record

ArticleMolecular and clinical oncology2016

Sensitivity of ovarian cancer cells to acetaminophen reveals biological pathways that affect patient survival.

Stephen H Bush, Sharon Tollin, Douglas C Marchion, Yin Xiong, Forough Abbasi, Ingrid J Ramirez, Nadim Bou Zgheib, Bernadette Boac, Patricia L Judson, Hye Sook Chon and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. An End-to-endProceedings. IEEE International Conference on Healthcare Informatics · 2023
    Article
  2. 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

16 authors at 2 institutions in 1 country.

Stephen H BushDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Sharon TollinDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Douglas C MarchionDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Yin XiongDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Forough AbbasiDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Ingrid J RamirezDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Nadim Bou ZgheibDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Bernadette BoacDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Patricia L JudsonDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Hye Sook ChonDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Robert M WenhamDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Sachin M ApteDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Christopher L CubittTranslational Research Core, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Anders E BerglundCancer Informatics Core, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Laura J HavrileskyDuke University Medical Center, Durham, NC 27710, USA.
Johnathan M LancasterDepartment of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Moffitt Cancer Center · USDuke University Hospital · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Experimental and epidemiological data support the potential activity of acetaminophen against ovarian cancer (OVCA). In this study, we sought to confirm the activity of acetaminophen in OVCA cell lines and to investigate the molecular basis of response. A total of 16 OVCA cell lines underwent pretreatment (baseline) genome-wide expression measurements and were then treated with and analyzed for acetaminophen sensitivity. Pearson's correlation analysis was performed to identify genes that were associated with OVCA acetaminophen response. The identified genes were subjected to pathway analysis, and the expression of each represented pathway was summarized using principal component analysis. OVCA acetaminophen response pathways were analyzed in 4 external clinico-genomic datasets from 820 women for associations with overall survival from OVCA. Acetaminophen exhibited antiproliferative activity against all tested OVCA cell lines, with half maximal inhibitory concentration values ranging from 63.2 to 403 µM. Pearson's correlation followed by biological pathway analysis identified 13 pathways to be associated with acetaminophen sensitivity (P<0.01). Associations were observed between patient survival from OVCA and expression of the following pathways: Development/angiotensin signaling via β-arrestin (P=0.04), protein folding and maturation/angiotensin system maturation (P=0.02), signal transduction/c-Jun N-terminal kinase (JNK) pathway (P=0.03) and androstenedione and testosterone biosynthesis and metabolism (P=0.02). We confirmed that acetaminophen was active against OVCA cells

Indexed as

acetaminophenc-Jun N-terminal kinase pathwaymolecular signaling pathwaysovarian cancerparacetamol

Identifiers

PMID26998291
PMCPMC4774474
OpenAlexW2224338207

What OpenQuestion holds

Textmetadata
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.