Evidence map›Paper›PMID 32485588›Full record

ArticleTranslational oncology2020

Modulation of Mutational Landscape in HER2-Positive Breast Cancer after Neoadjuvant Chemotherapy.

Claudia Omarini, Stefania Bettelli, Samantha Manfredini, Monica Barbolini, Chrystel Isca, Giulia Cortesi, Antonino Maiorana, Giovanni Tazzioli, Massimo Dominici, Federico Piacentini

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2020. 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
0.4field-weighted citation impact, top 47% 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, 7 citations in OpenAlex.

  1. Article
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  4. Review
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 1 institution in 1 country.

Claudia OmariniDepartment of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy; Department of General Surgery and Surgical Specialities, University Hospital of Modena, Modena, Italy. Electronic address: claudia.omarini@gmail.com.
Stefania BettelliDivision of Pathological Anatomy, Department of Diagnostic, Clinical Medicine and Public Health, University Hospital of Modena, Modena, Italy.
Samantha ManfrediniDivision of Pathological Anatomy, Department of Diagnostic, Clinical Medicine and Public Health, University Hospital of Modena, Modena, Italy.
Monica BarboliniDepartment of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy.
Chrystel IscaDepartment of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy.
Giulia CortesiDepartment of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy.
Antonino MaioranaDivision of Pathological Anatomy, Department of Diagnostic, Clinical Medicine and Public Health, University Hospital of Modena, Modena, Italy.
Giovanni TazzioliDepartment of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy.
Massimo DominiciDepartment of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy.
Federico PiacentiniDepartment of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy.
University of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn early-stage HER2 positive breast cancer (BC) patients, tumor response to neoadjuvant chemotherapy (NACT) predict survival outcomes. Patients achieving less than pathological complete response (pCR) have a worse prognosis, however, this group is heterogeneous. Nowadays limited data on predictive/prognostic biomarkers in patients with residual cancer disease are available.

methodsUsing next-generation sequencing technology, we evaluated a panel of 21 cancer genes in a group of HER2 positive BC patients with residual disease after NACT. A control group of patients who achieved the pCR was selected too. The BC mutational profile was analyzed on both the tumor diagnostic biopsy and matched residual disease.

resultsOverall, the detection rate of mutations was 79% in the No-pCR group versus 90% in the pCR cohort and 98% in the residual BC. The most mutated genes were TP53 and PIK3CA. No correlations between single gene mutations and survival outcomes were found. In no-pCR cohort, 52% of patients had different mutational profile after NACT, 69% of them had an increased in the number of mutated genes. Mutational profile changes from diagnostic biopsy to residual BC were a negative prognostic factor in term of relapse free survival: recurrence probability in different gene profile sub-group was 42% vs 0% in the same profile one (P = .019).

conclusionsTreatment selective pressure on tumor cells due to NACT changed the gene mutational profile in more than half of BC patient with residual tumor disease. Treatment-induced gene mutations significantly increase the risk of relapse. Profiling primary and residual BC is a major step in order to further personalized adjuvant treatment strategy.

Identifiers

PMID32485588
PMCPMC7264751
OpenAlexW3029538260

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.