Evidence map›Paper›PMID 37434799›Full record

ArticleJournal of cancer prevention2023

Immunohistochemistry versus PCR Technology for Molecular Subtyping of Breast Cancer: Multicentered Expereinces from Addis Ababa, Ethiopia.

Dessiet Oma, Maria Teklemariam, Daniel Seifu, Zelalem Desalegn, Endale Anberbir, Tamrat Abebe, Solomon Mequannent, Solomon Tebeje, Wajana Lako Labisso

Open access · diamondAbstract read
In one paragraph

Article in Journal of cancer prevention, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

9 authors at 2 institutions in 2 countries.

Dessiet OmaDepartment of Medical Biochemistry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-2330-9858
Maria TeklemariamDepartment of Medical Biochemistry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-1235-5971
Daniel SeifuDepartment of Biochemistry, University of Global Health Equity, Kigali, Rwanda.ORCID https://orcid.org/0000-0002-0784-9504
Zelalem DesalegnDepartment of Microbiology, Immunology, and Parasitology, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0003-4745-5275
Endale AnberbirDepartment of Surgery, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-0155-2064
Tamrat AbebeDepartment of Microbiology, Immunology, and Parasitology, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-6100-9303
Solomon MequannentDepartment of Pharmacology, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-7844-3771
Solomon TebejeDepartment of Medical Biochemistry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-5281-8611
Wajana Lako LabissoDepartment of Pathology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0003-0687-3745
Addis Ababa University · ETUniversity of Global Health Equity · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of immunohistochemistry (IHC) for molecular characterization of breast cancer (BC) is of paramount importance; however, it is not universally standardized, subject to observer variability and quantifying is a challenge. An alternative molecular technology, such as endpoint reverse transcription (RT)-PCR gene expression analysis, may improve observer variability and diagnostic accuracy. This study was intended to compare IHC with the RT-PCR based technique and assess the potential of RT-PCR for molecular subtyping of BC. In this comparative cross-sectional study, 54 BC tissues were collected from three public hospitals in Addis Ababa and shipped to Gynaecology department at Martin-Luther University (Germany) for laboratory analysis. Only 41 samples were qualified for IHC and RT-PCR investigation of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki-67 protein expression analysis. Kappa statistics was used to assess the concordance between the two techniques. The overall percent agreement between RT-PCR and IHC was 68.3% for ER (positive percent agreement [PPA] 71.1%; negative percent agreement [NPA] 33.3%), 39.0% for PR (PPA 14.3%; NPA 92.3%), and 82.9% for HER2 (PPA 62.5%; NPA 87.9%). Cohen's κ-values of 0.018 (< 0.20), 0.045 (< 0.200), and 0.481 (0.41-0.60) were generated for ER, PR, and HER2, respectively. Concordance for molecular subtypes was only 56.1% (23/41) and 0.20 kappa value. IHC and endpoint RT-PCR techniques have shown to be discordant for 43% samples. Molecular subtyping using endpoint RT-PCR was fairly concordant with IHC. Thus, endpoint RT-PCR may give an objective result, and can be applied for BC subtyping.

Indexed as

Breast cancerImmunohistochemistryMolecular subtypesReverse transcription polymerase chain reaction

Identifiers

PMID37434799
PMCPMC10331035
OpenAlexW4383315823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.