Evidence map›Paper›PMID 28054957›Full record

ReviewInternational journal of molecular sciences2017

Molecular Biomarkers for Prediction of Targeted Therapy Response in Metastatic Breast Cancer: Trick or Treat?

Angela Toss, Marta Venturelli, Chiara Peterle, Federico Piacentini, Stefano Cascinu, Laura Cortesi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

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  12. Immortalizing Cells for Human Consumption.International journal of molecular sciences · 2021
    Review
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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

6 authors at 1 institution in 1 country.

Angela TossDepartment of Oncology and Hematology, University Hospital of Modena and Reggio Emilia, via del Pozzo 71, 41121 Modena, Italy. angela.toss@unimore.it.
Marta VenturelliDepartment of Oncology and Hematology, University Hospital of Modena and Reggio Emilia, via del Pozzo 71, 41121 Modena, Italy. martaventurelli@msn.com.
Chiara PeterleDepartment of Oncology and Hematology, University Hospital of Modena and Reggio Emilia, via del Pozzo 71, 41121 Modena, Italy. chiara.peterle@gmail.com.
Federico PiacentiniDepartment of Oncology and Hematology, University Hospital of Modena and Reggio Emilia, via del Pozzo 71, 41121 Modena, Italy. federico.piacentini@unimore.it.
Stefano CascinuDepartment of Oncology and Hematology, University Hospital of Modena and Reggio Emilia, via del Pozzo 71, 41121 Modena, Italy. stefano.cascinu@unimore.it.
Laura CortesiDepartment of Oncology and Hematology, University Hospital of Modena and Reggio Emilia, via del Pozzo 71, 41121 Modena, Italy. hbc@unimore.it.
University of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the study of genomic alterations and protein expression involved in the pathways of breast cancer carcinogenesis has provided an increasing number of targets for drugs development in the setting of metastatic breast cancer (i.e., trastuzumab, everolimus, palbociclib, etc.) significantly improving the prognosis of this disease. These drugs target specific molecular abnormalities that confer a survival advantage to cancer cells. On these bases, emerging evidence from clinical trials provided increasing proof that the genetic landscape of any tumor may dictate its sensitivity or resistance profile to specific agents and some studies have already showed that tumors treated with therapies matched with their molecular alterations obtain higher objective response rates and longer survival. Predictive molecular biomarkers may optimize the selection of effective therapies, thus reducing treatment costs and side effects. This review offers an overview of the main molecular pathways involved in breast carcinogenesis, the targeted therapies developed to inhibit these pathways, the principal mechanisms of resistance and, finally, the molecular biomarkers that, to date, are demonstrated in clinical trials to predict response/resistance to targeted treatments in metastatic breast cancer.

Indexed as

Drug Resistance, NeoplasmAnimalsAntineoplastic AgentsBiomarkers, TumorBreastBreast NeoplasmsCarcinogenesisFemaleHumansMolecular Targeted TherapyNeoplasm MetastasisSignal TransductionAntineoplastic AgentsBiomarkers, Tumorbreast cancermolecular biomarkertargeted therapytreatment resistance

Identifiers

PMID28054957
PMCPMC5297719
OpenAlexW2568241591

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.