Evidence map›Paper›PMID 34997055›Full record

ArticleScientific reports2022

Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy.

Cristina Zarotti, Bärbel Papassotiropoulos, Constanze Elfgen, Konstantin Dedes, Denise Vorburger, Bernhard Pestalozzi, Andreas Trojan, Zsuzsanna Varga

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Cristina ZarottiDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Schmelzbergstrasse 12, 8091, Zurich, Switzerland.
Bärbel PapassotiropoulosBreast Center Seefeld, Zurich, Switzerland.
Constanze ElfgenBreast Center Seefeld, Zurich, Switzerland.
Konstantin DedesComprehensive Cancer Center, Breast Unit, University Hospital Zurich, Zurich, Switzerland.
Denise VorburgerComprehensive Cancer Center, Breast Unit, University Hospital Zurich, Zurich, Switzerland.
Bernhard PestalozziComprehensive Cancer Center, Breast Unit, University Hospital Zurich, Zurich, Switzerland.
Andreas TrojanBreast Center Seefeld, Zurich, Switzerland.
Zsuzsanna VargaDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Schmelzbergstrasse 12, 8091, Zurich, Switzerland. zsuzsanna.varga@usz.ch.
University Hospital of Zurich · CHBreast Center · CHKantonsspital Winterthur · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a biologically diverse disease with treatment modalities selected based on tumor stage and tumor biology. Distinct intrinsic subtypes and surrogate biomarker profiles play a major role for therapeutic decisions. Response rates to systemic and local treatments as well as the interaction with epidemiological risk factors have been validated in clinical trials and translational studies. This retrospective study addresses the question how biomarker profiles and treatment modalities in the neoadjuvant chemotherapy setting have changed during the past 15 years and what prognostic impact these changes implicate. 342 female breast cancer stage I-IV patients receiving neoadjuvant chemotherapy between 2003 and 2017 were analyzed. Overall survival (OS) was correlated with preoperative clinical stage, postoperative pathological stage, treatment modalities and tumor biology before and after chemotherapy. Two subgroups were separated using an arbitrary cut-off year at 2009/2010, due to 2010 when platinum containing regimens were first administered. Median follow-up was 54 months. 57 (17%) patients died; recurrences occurred in 103 of 342 (30%) patients. Nodal stage and intrinsic subtypes (pre- and postoperative) significantly correlated with OS (p < 0.001). Preoperative histological grading lacked prognostic power. When comparing the patient characteristics of the subgroups, we found significant difference in the following characteristics: cT, ypT, ypN, pCR and chemotherapy regimens (p < 0.001). There was no difference in OS when comparing the two subgroups. Pathological complete response (pCR) rates had a significant impact on OS and disease-free survival (DFS) in HER2+ and triple negative subtypes (p = 0.03). In multivariate analysis, high proliferation index (> 30%), clinical metastatic stage and pathological tumor stage had prognostic impact on OS (p < 0.001, p = 0.0001, p = 0.002). Clinico-pathological factors and distinct therapy regiments especially in triple negative and HER2+ subtypes have prognostic impact on pCR, OS and DFS after neoadjuvant chemotherapy.

Indexed as

Neoadjuvant TherapyAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm Recurrence, LocalBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID34997055
PMCPMC8741830
OpenAlexW4205633075

What OpenQuestion holds

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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.