Evidence map›Paper›PMID 22961208›Full record

ArticleJournal of cancer research and clinical oncology2013

Biological characteristics of interval cancers: a role for biomarkers in the breast cancer screening.

A Caldarella, D Puliti, E Crocetti, S Bianchi, V Vezzosi, P Apicella, M Biancalani, A Giannini, C Urso, F Zolfanelli and 1 more

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
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  10. Article
  11. Cumulative Risk Distribution for Interval Invasive Second Breast Cancers After Negative Surveillance Mammography.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Article
  12. PAM50 and Risk of Recurrence Scores for Interval Breast Cancers.Cancer prevention research (Philadelphia, Pa.) · 2018
    Article
  13. Errors in Mammography Cannot be Solved Through Technology AloneAsian Pacific journal of cancer prevention : APJCP · 2018
    Review
  14. MCM2: An alternative to Ki-67 for measuring breast cancer cell proliferation.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    Article
  15. Imaging Surveillance After Primary Breast Cancer Treatment.AJR. American journal of roentgenology · 2017
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

11 authors.

A CaldarellaClinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141 Florence, Italy. a.caldarella@ispo.toscana.it
D Puliti
E Crocetti
S Bianchi
V Vezzosi
P Apicella
M Biancalani
A Giannini
C Urso
F Zolfanelli
E Paci

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn a population-based screening program, a percentage of tumors remain undetected; these tumors comprise a heterogeneous group, and they are more likely to have adverse prognostic features. The aim of this study was to identify differences in biological characteristics of screen-detected versus interval breast cancers in a population-based screening program according to molecular subtypes. MATERIALS AND

methodsWe analyzed the population-based data from a long-running screening program in the area of Florence. Data on screening history and on age, T and N status, grade, histotype, hormonal status and Ki-67 and HER2 expression were retrieved. Subtypes of breast cancer were defined on the expression of ER, PR, Ki-67 and HER2: luminal A if ER/PR+, HER2- and Ki67 <14 %, luminal B (HER2 negative) if ER/PR+, HER2- and Ki67 ≥14 %, luminal B (HER2 positive) if ER/PR+ and HER2+, triple negative if ER/PR-and HER2-, HER2 positive if ER/PR- and HER2+. Association between molecular subtypes and mode of detection will be evaluated by a logistic regression model adjusted for the potential confounding variables.

resultsInformation about biomarkers was known for 277 cases, 211 screening-detected and 66 interval cancers. Among interval cases, the triple-negative cancers were more represented than luminal A (OR = 3.52; CI, 1.112-11.13; p = 0.0319), while the proportion of HER2+ was quite similar (OR = 1.57; p = 0.4709).

conclusionAlthough made on a small number of cases, our results suggest a difference in distribution of molecular subtypes according to mode detection, confirming the results of earlier studies.

Indexed as

Biomarkers, TumorEarly Detection of CancerAgedBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansKi-67 AntigenMiddle AgedNeoplasm StagingPrognosisReceptors, EstrogenReceptors, ProgesteroneBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesKi-67 AntigenReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID22961208
PMCPMC11824615

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.