Evidence map›Paper›PMID 25539732›Full record

ArticleMolecular oncology2015

Heterogeneity of PIK3CA mutational status at the single cell level in circulating tumor cells from metastatic breast cancer patients.

Marta Pestrin, Francesca Salvianti, Francesca Galardi, Francesca De Luca, Natalie Turner, Luca Malorni, Mario Pazzagli, Angelo Di Leo, Pamela Pinzani

Abstract read
In one paragraph

Article in Molecular oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 1 pooled it
–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

91 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. A Novel Workflow to Enrich and Isolate Patient-Matched EpCAMInternational journal of molecular sciences · 2017
    Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Biochemistry and biophysics reports · 2024
    Article
  10. Article
  11. Review
  12. Review
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  14. Article
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  17. Article
  18. Review
  19. Combinatorial Power of cfDNA, CTCs and EVs in Oncology.Diagnostics (Basel, Switzerland) · 2022
    Review
  20. Review

31 more citing papers are in PubMed but not listed here.

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

9 authors.

Marta PestrinSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy.
Francesca SalviantiDepartment of Clinical, Experimental and Biomedical Sciences, University of Florence, Florence, Italy.
Francesca GalardiSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy.
Francesca De LucaSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy.
Natalie TurnerSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy.
Luca MalorniSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy.
Mario PazzagliDepartment of Clinical, Experimental and Biomedical Sciences, University of Florence, Florence, Italy.
Angelo Di LeoSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy.
Pamela PinzaniDepartment of Clinical, Experimental and Biomedical Sciences, University of Florence, Florence, Italy. Electronic address: p.pinzani@dfc.unifi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating Tumor Cells (CTCs) represent a "liquid biopsy of the tumor" which might allow real-time monitoring of cancer biology and therapies in individual patients. CTCs are extremely rare in the blood stream and their analysis is technically challenging. The CellSearch(®) system provides the enumeration of CTCs with prognostic significance in patients with metastatic breast cancer (mBC), but it does not allow their molecular characterization, which might be useful to identify therapeutically relevant targets for individualized treatment. Combining the CellSearch(®) and DEPArray™ technologies allows the recovery of single CTCs as a pure sample for molecular analysis. The purpose of the study was to investigate the heterogeneity of PIK3CA mutational status within single CTCs isolated from individual mBC patients. CTCs were enriched and enumerated by CellSearch(®) in blood samples collected from 39 mBC patients. In 20 out of 39 patients enriched samples with ≥5 CTCs were sorted using DEParray™ to isolate single CTCs or pools of CTCs to be submitted to Whole Genome Amplification (WGA) before sequencing analysis. In 18 out of 20 patients, it was possible to perform PIK3CA sequencing on exons 9 and 20. Twelve subjects were wild type (wt) for the PIK3CA gene. PIK3CA status could also be assessed in pools of CTCs in seven of these patients, with consistent wt status found. Six patients (33%) had a PIK3CA mutation identified. In 2 of the six patients, molecular heterogeneity was detected when mutational analysis was performed on more than one single CTC, including one patient with loss of heterozygosity on both single and pooled CTCs, and one patient with three different PIK3CA variants on single CTCs but PIK3CA wt status on pooled CTC samples. In six out of the 18 cases PIK3CA status was also evaluable on a primary tumor sample. In one of the six cases a discordance in PIK3CA status between the primary (wild-type) and the matched CTC (exon 20 mutation) was observed. This study demonstrates the feasibility of a non-invasive approach based on the liquid biopsy in mBC patients. Moreover, our data suggest the importance of characterizing CTCs at the single cell level in order to investigate the molecular heterogeneity within cells from the same patient.

Indexed as

Genetic HeterogeneitySingle-Cell AnalysisAdultAgedBase SequenceBreast NeoplasmsCell Line, TumorClass I Phosphatidylinositol 3-KinasesDNA Mutational AnalysisFemaleHumansMiddle AgedMolecular Sequence DataNeoplasm MetastasisNeoplastic Cells, CirculatingPhosphatidylinositol 3-KinasesClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPIK3CA protein, humanCellSearch(®)CTC heterogeneityDEPArray™Liquid biopsySingle-cell analysis

Identifiers

PMID25539732
PMCPMC5528771

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.