Evidence map›Paper›PMID 33293374›Full record

Observational studyClinical cancer research : an official journal of the American Association for Cancer Research2021

Genomic Characterization of

Ana C Garrido-Castro, Liam F Spurr, Melissa E Hughes, Yvonne Y Li, Andrew D Cherniack, Priti Kumari, Maxwell R Lloyd, Brittany Bychkovsky, Romualdo Barroso-Sousa, Simona Di Lascio and 18 more

Open access · bronzeAbstract readComparative StudyObservational Study
In one paragraph

Observational study in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Aggressive local therapy forOncology reports · 2023
    Trial
  4. The immunology of human breast cancer.Nature reviews. Immunology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Clinicogenomic Characterization of Inflammatory Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. HRDrugs in context · 2023
    Review
  17. Article
  18. Review
  19. Review
  20. 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

28 authors at 4 institutions in 1 country.

Ana C Garrido-CastroDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. agarrido-castro@partners.org.ORCID 0000-0002-5989-6636
Liam F SpurrDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Melissa E HughesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Yvonne Y LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Andrew D CherniackDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Priti KumariDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.
Maxwell R LloydDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-9810-0437
Brittany BychkovskyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Romualdo Barroso-SousaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-1825-9876
Simona Di LascioDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Esha JainDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Janet FilesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Ayesha Mohammed-AbreuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Max KrevalinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Colin MacKichanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
William T BarryDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Hao GuoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Daniel XiaHarvard Medical School, Boston, Massachusetts.
Ethan CeramiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.
Barrett J RollinsDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Laura E MacConaillHarvard Medical School, Boston, Massachusetts.
Neal I LindemanHarvard Medical School, Boston, Massachusetts.
Ian E KropDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-6380-5944
Bruce E JohnsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Nikhil WagleDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Eric P WinerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-8819-1723
Deborah A DillonHarvard Medical School, Boston, Massachusetts.
Nancy U LinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-2263-5413
Dana-Farber Cancer Institute · USHarvard University · USBrigham and Women's Hospital · USBroad Institute · US

Funding

Tissue and Pathology CoreP50CA168504 · NCI · DANA-FARBER CANCER INST · PI Nabihah Tayob · 2013 to 2026
$30.1M
NCI NIH HHS P50 CA168504
6 · The paper itself

Abstract

purposeIn contrast to recurrence after initial diagnosis of stage I-III breast cancer [recurrent metastatic breast cancer (rMBC)], EXPERIMENTAL

designTargeted DNA sequencing (OncoPanel) was prospectively performed on either primary or metastatic tumors from 926 patients (212 dnMBC and 714 rMBC). Single-nucleotide variants, copy-number variations, and tumor mutational burden (TMB) in treatment-naïve dnMBC primary tumors were compared with primary tumors in patients who ultimately developed rMBC, and correlated with OS across all dnMBC.

resultsWhen comparing primary tumors by subtype,

conclusionsGenomic differences between treatment-naïve dnMBC and primary tumors of patients who developed rMBC may provide insight into mechanisms underlying metastatic potential and differential therapeutic sensitivity in dnMBC. Alterations associated with poor OS in dnMBC highlight the need for novel approaches to overcome potential intrinsic resistance to current treatments.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsBreast Neoplasms, MaleFemaleGenomicsHumansKaplan-Meier EstimateMaleMiddle AgedMutationNeoplasm Recurrence, LocalNeoplasm StagingBiomarkers, Tumor

Identifiers

PMID33293374
PMCPMC7887078
OpenAlexW3111153505

What OpenQuestion holds

Textmetadata
LicenceTDM
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.