Evidence map›Paper›PMID 16280045›Full record

Trial reportBreast cancer research : BCR2005

Quantification of the response of circulating epithelial cells to neodadjuvant treatment for breast cancer: a new tool for therapy monitoring.

Katharina Pachmann, Oumar Camara, Andreas Kavallaris, Uwe Schneider, Stefanie Schünemann, Klaus Höffken

Abstract readClinical Trial
In one paragraph

Trial report in Breast cancer research : BCR, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

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  14. The state of molecular biomarkers for the early detection of lung cancer.Cancer prevention research (Philadelphia, Pa.) · 2012
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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.

Katharina PachmannKlinik für Innere Medizin II der Friedrich Schiller-Universität Jena, Jena, Germany. katharina.pachmann@med.uni-jena.de.
Oumar Camara
Andreas Kavallaris
Uwe Schneider
Stefanie Schünemann
Klaus Höffken

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn adjuvant treatment for breast cancer there is no tool available with which to measure the efficacy of the therapy. In contrast, in neoadjuvant therapy reduction in tumour size is used as an indicator of the sensitivity of tumour cells to the agents applied. If circulating epithelial (tumour) cells can be shown to react to therapy in the same way as the primary tumour, then this response may be exploited to monitor the effect of therapy in the adjuvant setting.

methodWe used MAINTRAC analysis to monitor the reduction in circulating epithelial cells during the first three to four cycles of neoadjuvant therapy in 30 breast cancer patients.

resultsMAINTRAC analysis revealed a patient-specific response. Comparison of this response with the decline in size of the primary tumour showed that the reduction in number of circulating epithelial cells accurately predicted final tumour reduction at surgery if the entire neoadjuvant regimen consisted of chemotherapy. However, the response of the circulating tumour cells was unable to predict the response to additional antibody therapy.

conclusionThe response of circulating epithelial cells faithfully reflects the response of the whole tumour to adjuvant therapy, indicating that these cells may be considered part of the tumour and can be used for therapy monitoring.

Indexed as

Neoplastic Cells, CirculatingAntineoplastic Combined Chemotherapy ProtocolsBiomarkersBreast NeoplasmsEndpoint DeterminationFemaleHumansNeoadjuvant TherapySensitivity and SpecificityTreatment OutcomeBiomarkers

Identifiers

PMID16280045
PMCPMC1410761

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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.