Evidence map›Paper›PMID 24969162›Full record

ArticleThe oncologist2014

Rare breast cancer subtypes: histological, molecular, and clinical peculiarities.

Maria Vittoria Dieci, Enrico Orvieto, Massimo Dominici, PierFranco Conte, Valentina Guarneri

Open access · greenAbstract read
In one paragraph

Article in The oncologist, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.

  1. Pooled it
  2. Transcriptomic Insights into Lobular Breast Cancer Biology and Patient Outcomes: Analysis of the MINDACT Clinical Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  4. Breast Cancer Progression by the FGF/FGFR Axis: A Metabolic Perspective.Journal of mammary gland biology and neoplasia · 2025
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  6. Study the impact ofCytotechnology · 2025
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  9. Article
  10. Review
  11. Article
  12. Article
  13. A Preliminary Investigation into Search and Matching for Tumor Discrimination in World Health Organization Breast Taxonomy Using Deep Networks.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article

10 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Maria Vittoria DieciDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy; and Istituto Oncologico Veneto IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Padova, Italy; Department of Pathology, University Hospital of Padova, Padova, Italy; Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy.
Enrico OrvietoDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy; and Istituto Oncologico Veneto IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Padova, Italy; Department of Pathology, University Hospital of Padova, Padova, Italy; Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy.
Massimo DominiciDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy; and Istituto Oncologico Veneto IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Padova, Italy; Department of Pathology, University Hospital of Padova, Padova, Italy; Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy.
PierFranco ConteDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy; and Istituto Oncologico Veneto IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Padova, Italy; Department of Pathology, University Hospital of Padova, Padova, Italy; Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy.
Valentina GuarneriDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy; and Istituto Oncologico Veneto IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Padova, Italy; Department of Pathology, University Hospital of Padova, Padova, Italy; Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy valentina.guarneri@unipd.it.
University of Padua · ITUniversity of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer encompasses a collection of different diseases characterized by different biological and pathological features, clinical presentation, response to treatments, clinical behavior, and outcome. On the basis of cell morphology, growth, and architecture patterns, breast cancer can be classified in up to 21 distinct histological types. Breast cancer special types, including the classic lobular invasive carcinoma, represent 25% of all breast cancers. The histological diversity of breast carcinomas has relevant prognostic implications. Indeed, the rare breast cancer group includes subtypes with very different prognoses, ranging from the tubular carcinoma, associated with an indolent clinical course, to metaplastic cancer, whose outcome is generally unfavorable. New approaches based on gene expression profiling allow the identification of molecularly defined breast cancer classes, with distinct biological features and clinical behavior. In clinical practice, immunohistochemical classification based on the expression of human epidermal growth factor receptor 2 and Ki67 is applied as a surrogate of the intrinsic molecular subtypes. However, the identification of intrinsic molecular subtypes were almost completely limited to the study of ductal invasive breast cancer. Moreover, some good-prognosis triple-negative histotypes, on the basis of gene expression profiling, can be classified among the poor-prognosis group. Therefore, histopathological classification remains a crucial component of breast cancer diagnosis. Special histologies can be very rare, and the majority of information on outcome and treatments derives from small series and case reports. As a consequence, clear recommendations about clinical management are still lacking. In this review, we summarize current knowledge about rare breast cancer histologies.

Indexed as

AdenocarcinomaAdenocarcinoma, MucinousBiomarkers, TumorBreast NeoplasmsCarcinoma, LobularCarcinoma, MedullaryErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisRare DiseasesReceptors, EstrogenBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenCribriform carcinomaMedullary carcinomaMetaplastic carcinomaMucinous carcinomaPleomorphic lobular cancerTubular carcinoma

Identifiers

PMID24969162
PMCPMC4122475
OpenAlexW2139330962

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.