Evidence map›Paper›PMID 37999916›Full record

ArticleBreast cancer research and treatment2024

Prevalence of targetable genomic alterations in young women with advanced breast cancer: a cross-sectional study.

Deanna Blansky, Norin Ansari, Lucy Gao, Ethan S Sokol, Smruthy Sivakumar, Richard S P Huang, Maureen Pelletier, Mia Levy, Dean Pavlick, Natalie Danziger and 3 more

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In one paragraph

Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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 3 institutions in 1 country.

Deanna Blansky *Yale University School of Medicine, New Haven, CT, USA. deanna.blansky@yale.edu.ORCID http://orcid.org/0000-0003-2633-7667
Norin Ansari *Yale University School of Medicine, New Haven, CT, USA.
Lucy GaoYale University School of Medicine, New Haven, CT, USA.
Ethan S SokolFoundation Medicine Inc., Cambridge, MA, USA.
Smruthy SivakumarFoundation Medicine Inc., Cambridge, MA, USA.
Richard S P HuangFoundation Medicine Inc., Cambridge, MA, USA.
Maureen PelletierFoundation Medicine Inc., Cambridge, MA, USA.
Mia LevyFoundation Medicine Inc., Cambridge, MA, USA.
Dean PavlickFoundation Medicine Inc., Cambridge, MA, USA.
Natalie DanzigerFoundation Medicine Inc., Cambridge, MA, USA.
Jeffrey S RossSUNY Upstate Medical University, Syracuse, NY, USA.
Maryam LustbergYale University School of Medicine, New Haven, CT, USA.
Mariya RozenblitYale University School of Medicine, New Haven, CT, USA.
Foundation Medicine (United States)Yale University · USSUNY Upstate Medical University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeApproximately 5% of breast cancers each year are diagnosed in young women < 40 years who tend to have worse clinical outcomes. We compared genomic alterations using comprehensive genomic profiling (CGP) of tumor tissue among very young women (< 30 years) and young women (30-39 years) compared to women ≥ 40 years at diagnosis.

methods2049 advanced breast cancer cases were submitted to Foundation Medicine within a 22-month window for CGP. Hybrid-capture based CGP was performed to evaluate all classes of genomic alterations. Tumor mutational burden was determined on at least 0.8 Mbp of sequenced DNA and microsatellite instability was determined on at least 95 loci. Immunocyte PD-L1 expression was determined by immunohistochemistry.

resultsOf the total cases, 28 (1.37%) were < 30 years, 159 (7.76%) were 30-39 years, and 1862 (90.87%) were ≥ 40 at time of diagnosis. Breast tumors were less likely to be estrogen receptor positive in younger women (54% of < 30 years, p > 0.05; 60% of 30-39 years, p < 0.001; 69.4% of ≥ 40 years) and more likely to be triple negative (43%, p = 0.05; 33%, p = 0.05; 26.1% respectively). Young women had higher rates of BRCA1 mutations (17.9% <30 years, p < 0.001; 10.1% 30-39 years, p < 0.001; 2.6% ≥40 years), but lower rates of CDH1 (7.1% <30 years, p > 0.05; 5.0% 30-39 years, p < 0.001; 15.4% ≥40 years) and PIK3CA mutations (17.9% <30 years, p = 0.02; 17.6% 30-39 years, p < 0.001; 40.0% ≥40 years).

conclusionOur findings contribute to the growing literature demonstrating unique genetic profiles among young women diagnosed with breast cancer, compared to older women.

Indexed as

Breast NeoplasmsAgedBiomarkers, TumorCross-Sectional StudiesFemaleGenomicsHumansMutationPrevalenceBiomarkers, TumorAdvanced Breast cancerPrecision oncologyYoung adults

Identifiers

PMID37999916
OpenAlexW4388970748

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.