Evidence map›Paper›PMID 27223427›Full record

ArticleOncotarget2016

Pharmacometabolomics study identifies circulating spermidine and tryptophan as potential biomarkers associated with the complete pathological response to trastuzumab-paclitaxel neoadjuvant therapy in HER-2 positive breast cancer.

Gianmaria Miolo, Elena Muraro, Donatella Caruso, Diana Crivellari, Anthony Ash, Simona Scalone, Davide Lombardi, Flavio Rizzolio, Antonio Giordano, Giuseppe Corona

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 85 citations in OpenAlex.

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  20. Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.International journal of molecular sciences · 2021
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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

10 authors at 4 institutions in 3 countries.

Gianmaria MioloDepartment of Medical Oncology, IRCCS-National Cancer Institute, Aviano, Italy.
Elena MuraroDepartment of Translational Research, IRCCS-National Cancer Institute, Aviano, Italy.
Donatella CarusoDepartment of Pharmacological and Bimolecular Science, University of Milan, Milan, Italy.
Diana CrivellariDepartment of Medical Oncology, IRCCS-National Cancer Institute, Aviano, Italy.
Anthony AshDepartment of Biological Chemistry, Norwich Research Park, Norwich, United Kingdom.
Simona ScaloneDepartment of Medical Oncology, IRCCS-National Cancer Institute, Aviano, Italy.
Davide LombardiDepartment of Medical Oncology, IRCCS-National Cancer Institute, Aviano, Italy.
Flavio RizzolioDepartment of Translational Research, IRCCS-National Cancer Institute, Aviano, Italy.
Antonio GiordanoSbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, PA, USA.
Giuseppe CoronaDepartment of Translational Research, IRCCS-National Cancer Institute, Aviano, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITNorwich Research Park · GBTemple University · USUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defining biomarkers that predict therapeutic effects and adverse events is a crucial mandate to guide patient selection for personalized cancer treatments. In the present study, we applied a pharmacometabolomics approach to identify biomarkers potentially associated with pathological complete response to trastuzumab-paclitaxel neoadjuvant therapy in HER-2 positive breast cancer patients. Based on histological response the 34 patients enrolled in the study were subdivided into two groups: good responders (n = 15) and poor responders (n = 19). The pre-treatment serum targeted metabolomics profile of all patients were analyzed by liquid chromatography tandem mass spectrometry and the differences in the metabolomics profile between the two groups was investigated by multivariate partial least squares discrimination analysis. The most relevant metabolites that differentiate the two groups of patients were spermidine and tryptophan. The Good responders showed higher levels of spermidine and lower amounts of tryptophan compared with the poor responders (p < 0.001, q < 0.05). The serum level of these two metabolites identified patients who achieved a pathological complete response with a sensitivity of 90% [0.79-1.00] and a specificity of 0.87% [0.67-1.00]. These preliminary results support the role played by the individual patients' metabolism in determining the response to cancer treatments and may be a useful tool to select patients that are more likely to benefit from the trastuzumab-paclitaxel treatment.

Indexed as

AdultAgedAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantErb-b2 Receptor Tyrosine KinasesFemaleHumansLeast-Squares AnalysisMiddle AgedNeoadjuvant TherapyPaclitaxelPharmacogeneticsROC CurveSpermidineAntineoplastic AgentsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPaclitaxelSpermidineTrastuzumabTryptophanbreastcancermetabolomicspharmacometabolomicspharmacometabonomics

Identifiers

PMID27223427
PMCPMC5129972
OpenAlexW2406005384

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.