Evidence map›Paper›PMID 36260193›Full record

ArticleBreast cancer research and treatment2022

Comprehensive analysis of clinicopathologic features and p53 mutation in neuroendocrine neoplasms of the breast: experience from a large academic center.

Saba Shafi, Yan Hu, Anil V Parwani, Qingqing Ding, Zaibo Li

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In one paragraph

Article in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Saba ShafiDepartment of Pathology, The Ohio State University Wexner Medical Center, 410 W. 10th Ave, Columbus, OH, 43210, USA.
Yan HuDepartment of Pathology, The Ohio State University Wexner Medical Center, 410 W. 10th Ave, Columbus, OH, 43210, USA.
Anil V ParwaniDepartment of Pathology, The Ohio State University Wexner Medical Center, 410 W. 10th Ave, Columbus, OH, 43210, USA.
Qingqing DingDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Zaibo LiDepartment of Pathology, The Ohio State University Wexner Medical Center, 410 W. 10th Ave, Columbus, OH, 43210, USA. Zaibo.Li@osumc.edu.ORCID http://orcid.org/0000-0003-1325-1696
The Ohio State University Wexner Medical Center · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe recent WHO classification of breast cancer (2019) categorizes breast carcinoma with neuroendocrine (NE) differentiation into three morphologically distinct subtypes: well-differentiated neuroendocrine tumor (NET), poorly differentiated neuroendocrine carcinoma (NEC), and invasive breast carcinoma, no special type with neuroendocrine differentiation (IBC-NST-NE). Data regarding the prognostic significance of neuroendocrine differentiation are conflicting and an association, if any, between p53 mutation and neuroendocrine differentiation is largely unknown.

methodsWe examined p53 expression and other clinicopathologic characteristics in three types of invasive breast carcinoma with NE differentiation in a cohort of sixty-three patients, including 45 IBC-NST with NE differentiation, 10 NETs, and 8 NECs.

resultsNo significant difference of clinicopathologic feature was observed between IBC-NST with NE differentiation and NET, but NECs showed significantly lower expressions of hormone receptors, more mutated p53, and higher frequency of distant metastases than IBC-NST with NE differentiation and NETs.

conclusionNECs of the breast are genetically and clinically different from IBC-NST-NEs and NETs of the breast.

Indexed as

Breast NeoplasmsCarcinoma, NeuroendocrineNeuroendocrine TumorsBiomarkers, TumorFemaleHumansMutationTumor Suppressor Protein p53Biomarkers, TumorTumor Suppressor Protein p53Breast cancerNeuroendocrine carcinomaNeuroendocrine neoplasmNeuroendocrine tumorp53

Identifiers

PMID36260193
OpenAlexW4306770603

What OpenQuestion holds

Textmetadata
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.