Evidence map›Paper›PMID 10382938›Full record

ArticleMedical oncology (Northwood, London, England)1999

Tumour cell detection in G-CSF mobilised stem cell harvests of patients with breast cancer.

W Krüger, F Tögel, N Kröger, S Rössing, F Gieseking, K Gutensohn, C Lindner, F Jänicke, A R Zander

Abstract read
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Article in Medical oncology (Northwood, London, England), 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

9 authors.

W KrügerBone Marrow Transplantation Centre, Department of Haematology/Oncology, University Hospital Eppendorf, Hamburg, Germany. krueger@uke.uni-hamburg.de
F Tögel
N Kröger
S Rössing
F Gieseking
K Gutensohn
C Lindner
F Jänicke
A R Zander

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral blood stem cells were mobilised with G-CSF from steady-state haemopoiesis after previous anthracyclin-containing standard dose chemotherapy in patients with high-risk breast cancer. 48 samples were obtained from patients with stage II-III breast cancer and > or = 10 lymph nodes, 15 samples from patients with chemotherapy sensitive metastatic disease, and 13 samples from women with inflammatory breast cancer. 44 samples were first or single leukaphereses and 32 samples were second or third harvests. Aliquots were searched for contaminating tumour cells by immunocytochemistry (IC) and cytokeratin-19 reverse transcriptase polymerase chain reaction rtPCR). The median count of MNCs examined by IC was 2 x 10(6); cDNA prepared from 2 x 10(7) cells was subjected to PCR. Fifty-nine samples were examined by immunocytochemistry, 36 samples by rtPCR, and 19 samples by both techniques. Samples investigated by IC and rtPCR were judged as positive if there was at least one positive test. On the whole, 42/79 (55.3%) of the samples were positive with an insignificant trend to a higher positivity rate in second or subsequent leukaphereses (52.3% vs 59.3%). The median tumour cell load per 10(6) MNCs was low with 0.5 (0-7) cells in all, and a total of 2.2 (0.5-7) cells in positive specimen. Differences in the cancer cell load of first and subsequent leukaphereses and between subgroups of patients were not found. PCR and IC gave consistent results in 63.2%. This phenomenon can be explained by the greater sensitivity of the molecular method and by a Poisson distribution of coharvested tumour cells in samples. Tumour cell contamination in G-CSF mobilised stem cells from patients with breast cancer from steady state haemopoiesis after preceding anthacyclin-containing chemotherapy is frequent, but the tumour cell load is low. To allow a comparison of different studies dealing with cancer cell contamination in stem cells, standardisation of assays is necessary.

Indexed as

Granulocyte Colony-Stimulating FactorHematopoietic Stem Cell MobilizationLeukapheresisBreast NeoplasmsFemaleHumansImmunohistochemistryKeratinsLeukocytes, MononuclearReverse Transcriptase Polymerase Chain ReactionGranulocyte Colony-Stimulating FactorKeratins

Identifiers

PMID10382938

What OpenQuestion holds

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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.