Evidence map›Paper›PMID 29263308›Full record

ArticleJCI insight2017

Mutational profiles of breast cancer metastases from a rapid autopsy series reveal multiple evolutionary trajectories.

Bracha Erlanger Avigdor, Ashley Cimino-Mathews, Angelo M DeMarzo, Jessica L Hicks, James Shin, Saraswati Sukumar, John Fetting, Pedram Argani, Ben H Park, Sarah J Wheelan

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Cancer evolution: Darwin and beyond.The EMBO journal · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Immunohistochemical analysis of estrogen receptor in breast cancer with ESR1 mutations detected by hybrid capture-based next-generation sequencing.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2019
    Article
  12. Article
  13. Article
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

10 authors at 3 institutions in 1 country.

Bracha Erlanger AvigdorDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
Ashley Cimino-MathewsDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
Angelo M DeMarzoDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
Jessica L HicksDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
James ShinDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
Saraswati SukumarDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
John FettingDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
Pedram ArganiDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
Ben H ParkDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
Sarah J WheelanDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, and.
Sidney Kimmel Comprehensive Cancer Center · USJohns Hopkins Medicine · USJohns Hopkins University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Circulating plasma tumor DNA as a biomarker for early stage breast cancerR01CA194024 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO · 2016 to 2020
$1.9M
NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA194024
6 · The paper itself

Abstract

Heterogeneity within and among tumors in a metastatic cancer patient is a well-established phenomenon that may confound treatment and accurate prognosis. Here, we used whole-exome sequencing to survey metastatic breast cancer tumors from 5 patients in a rapid autopsy program to construct the origin and genetic development of metastases. Metastases were obtained from 5 breast cancer patients using a rapid autopsy protocol and subjected to whole-exome sequencing. Metastases were evaluated for sharing of somatic mutations, correlation of copy number variation and loss of heterozygosity, and genetic similarity scores. Pathological features of the patients' disease were assessed by immunohistochemical analyses. Our data support a monoclonal origin of metastasis in 3 cases, but in 2 cases, metastases arose from at least 2 distinct subclones in the primary tumor. In the latter 2 cases, the primary tumor presented with mixed histologic and pathologic features, suggesting early divergent evolution within the primary tumor with maintenance of metastatic capability in multiple lineages. We used genetic and histopathological evidence to demonstrate that metastases can be derived from a single or multiple independent clones within a primary tumor. This underscores the complexity of breast cancer clonal evolution and has implications for how best to determine and implement therapies for early- and late-stage disease.

Indexed as

Evolution, MolecularMutationAutopsyBreast NeoplasmsDNA Copy Number VariationsDNA, NeoplasmExome SequencingFemaleGene Expression Regulation, NeoplasticGene FrequencyGenes, NeoplasmHumansLoss of HeterozygosityNeoplasm MetastasisDNA, NeoplasmGeneticsGenetic variation

Identifiers

PMID29263308
PMCPMC5752302
OpenAlexW2777613181

What OpenQuestion holds

Textmetadata
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.