Evidence map›Paper›PMID 29707132›Full record

ArticleOncotarget2018

Molecular profiling of advanced breast cancer tumors is beneficial in assisting clinical treatment plans.

Philip Carter, Costi Alifrangis, Biancastella Cereser, Pramodh Chandrasinghe, Lisa Del Bel Belluz, Nina Moderau, Fotini Poyia, Lee S Schwartzberg, Neha Tabassum, Jinrui Wen and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Clinical genetics in breast cancer.Journal of surgical oncology · 2024
    Review
  3. Review
  4. 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

12 authors at 3 institutions in 3 countries.

Philip CarterDepartment of Surgery and Cancer, Imperial College, London, UK.
Costi AlifrangisDepartment of Oncology, University College Hospital, London, UK.
Biancastella CereserDepartment of Surgery and Cancer, Imperial College, London, UK.
Pramodh ChandrasingheDepartment of Surgery and Cancer, Imperial College, London, UK.
Lisa Del Bel BelluzDepartment of Surgery and Cancer, Imperial College, London, UK.
Nina ModerauDepartment of Surgery and Cancer, Imperial College, London, UK.
Fotini PoyiaDepartment of Surgery and Cancer, Imperial College, London, UK.
Lee S SchwartzbergWest Cancer Center, The University of Tennessee, Memphis, USA.
Neha TabassumDepartment of Surgery and Cancer, Imperial College, London, UK.
Jinrui WenDepartment of Surgery and Cancer, Imperial College, London, UK.
Jonathan KrellDepartment of Surgery and Cancer, Imperial College, London, UK.
Justin StebbingDepartment of Surgery and Cancer, Imperial College, London, UK.
Imperial College London · GBUniversity College London · GBUniversity of Tennessee at Knoxville · US

Funding

Department of Health NIHR-RP-011-053
6 · The paper itself

Abstract

We used data obtained by Caris Life Sciences, to evaluate the benefits of tailoring treatments for a breast carcinoma cohort by using tumor molecular profiles to inform decisions. Data for 92 breast cancer patients from the commercial Caris Molecular Intelligence database was retrospectively divided into two groups, so that the first always followed treatment recommendations, whereas in the second group all patients received at least one drug after profiling that was predicted to lack benefit. The biomarker and drug associations were based on tests including fluorescent

Indexed as

breast cancercancer treatmenttumor profiling

Identifiers

PMID29707132
PMCPMC5915140
OpenAlexW2792903255

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.