Evidence map›Paper›PMID 32099592›Full record

ArticleComputational and structural biotechnology journal2020

Genetic heterogeneity and clonal evolution during metastasis in breast cancer patient-derived tumor xenograft models.

Kathleen Sprouffske, Grainne Kerr, Cheng Li, Anirudh Prahallad, Ramona Rebmann, Verena Waehle, Ulrike Naumann, Hans Bitter, Michael R Jensen, Francesco Hofmann and 3 more

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Role of circulating tumor cell clusters in breast cancer.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2026
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  8. Leveraging preclinical models of metastatic breast cancer.Biochimica et biophysica acta. Reviews on cancer · 2024
    Review
  9. The Power and Promise of Patient-Derived Xenografts of Human Breast Cancer.Cold Spring Harbor perspectives in medicine · 2024
    Review
  10. Article
  11. Review
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  13. Article
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  16. Article
  17. Current methods in translational cancer research.Cancer metastasis reviews · 2021
    Review
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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

13 authors at 1 institution in 1 country.

Kathleen SprouffskeDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Grainne KerrDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Cheng LiDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Anirudh PrahalladDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Ramona RebmannDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Verena WaehleDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Ulrike NaumannBiotherapeutic and Analytical Technologies, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Hans BitterDisease Area Oncology, Novartis Institutes for BioMedical Research, Cambridge, MA, USA.
Michael R JensenDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Francesco HofmannDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Saskia M BrachmannDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Stéphane FerrettiDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Audrey KauffmannDisease Area Oncology, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Novartis (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic heterogeneity within a tumor arises by clonal evolution, and patients with highly heterogeneous tumors are more likely to be resistant to therapy and have reduced survival. Clonal evolution also occurs when a subset of cells leave the primary tumor to form metastases, which leads to reduced genetic heterogeneity at the metastatic site. Although this process has been observed in human cancer, experimental models which recapitulate this process are lacking. Patient-derived tumor xenografts (PDX) have been shown to recapitulate the patient's original tumor's intra-tumor genetic heterogeneity, as well as its genomics and response to treatment, but whether they can be used to model clonal evolution in the metastatic process is currently unknown. Here, we address this question by following genetic changes in two breast cancer PDX models during metastasis. First, we discovered that mouse stroma can be a confounding factor in assessing intra-tumor heterogeneity by whole exome sequencing, thus we developed a new bioinformatic approach to correct for this. Finally, in a spontaneous, but not experimental (tail-vein) metastasis model we observed a loss of heterogeneity in PDX metastases compared to their orthotopic "primary" tumors, confirming that PDX models can faithfully mimic the clonal evolution process undergone in human patients during metastatic spreading.

Indexed as

Breast cancerClonal evolutionHeterogeneityMetastasisPatient derived xenograft models

Identifiers

PMID32099592
PMCPMC7026725
OpenAlexW3004333165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.