Evidence map›Paper›PMID 33919581›Full record

ArticleCancers2021

The Genomic Landscape of Lobular Breast Cancer.

Amy E McCart Reed, Samuel Foong, Jamie R Kutasovic, Katia Nones, Nicola Waddell, Sunil R Lakhani, Peter T Simpson

Erratum issuedAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Toward targeted therapeutics for lobular breast cancer.The Journal of clinical investigation · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. ERBB2 mutation is associated with sustained tumor cell proliferation after short-term preoperative endocrine therapy in early lobular breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Amy E McCart ReedCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, Australia.ORCID 0000-0001-5387-2791
Samuel FoongCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, Australia.
Jamie R KutasovicCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, Australia.ORCID 0000-0001-5410-3636
Katia NonesQIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4006, Australia.ORCID 0000-0003-1925-5196
Nicola WaddellQIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4006, Australia.ORCID 0000-0002-3950-2476
Sunil R LakhaniCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, Australia.ORCID 0000-0003-4067-2760
Peter T SimpsonCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, Australia.ORCID 0000-0002-4816-8289

Funding

National Health and Medical Research Council APP11559902; APP1113867
6 · The paper itself

Abstract

Invasive lobular carcinoma (ILC) is the second most common breast cancer histologic subtype, accounting for approximately 15% of all breast cancers. It is only recently that its unique biology has been assessed in high resolution. Here, we present a meta-analysis of ILC sequencing datasets, to provide a long-awaited ILC-specific resource, and to confirm the prognostic value and strength of association between a number of clinico-pathology features and genomics in this special tumour type. We consider panel (

Indexed as

breast cancergenomicsinvasive lobular carcinomalobularprecision oncologysequencing

Identifiers

PMID33919581
PMCPMC8073944

What OpenQuestion holds

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LicenceCC BY
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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.