Evidence map›Paper›PMID 36120770›Full record

ArticleCancer biomarkers : section A of Disease markers2022

CD133 is an independent predictive and prognostic marker in metastatic breast cancer.

Ahmed Mubarak Hefni, Ayat Mohammed Sayed, Marwa T Hussien, Ashraf Zeidan Abdalla, Adel Gomaa Gabr

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 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 36% 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, 5 citations in OpenAlex.

  1. Review
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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 1 institution in 1 country.

Ahmed Mubarak HefniMedical Oncology, South Egypt Cancer Institute, Assiut University, Assiut, Egypt.
Ayat Mohammed SayedMedical Oncology, South Egypt Cancer Institute, Assiut University, Assiut, Egypt.
Marwa T HussienOncologic Pathology, South Egypt Cancer Institute, Assiut University, Assiut, Egypt.
Ashraf Zeidan AbdallaMedical Oncology, South Egypt Cancer Institute, Assiut University, Assiut, Egypt.
Adel Gomaa GabrMedical Oncology, South Egypt Cancer Institute, Assiut University, Assiut, Egypt.
Assiut University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD133 is a transmembrane glycoprotein and is considered the most common cell surface marker to identify cancer stem cells in hematological and solid tumors, including breast cancer.

objectivesTo evaluate the impact of immunohistochemical expression of CD133 on response rate and survival in metastatic breast cancer, as well as to correlate it with various demographics and clinicopathological characteristics.

methodsOne-hundred metastatic breast cancer patients were prospectively recruited at the Medical Oncology Department at South Egypt Cancer Institute during the period from January 2018 to January 2020.

resultsThere was a statistically significant correlation between CD133 positive patients with various adverse clinicopathological parameters such as high grade (p= 0.013), higher tumor (p= 0.001), and nodal staging (p= 0.024) during a median follow-up time of 17 months. In addition, cases with CD133 positive expression had a significantly lower survival time than those with negative expression (3-years OS 37.4% versus 85.5%, p= 0.024). Regarding the response rate, CD133 positive patients had a lower response rate than negative patients (50% versus 54%, p= 0.012).

conclusionsPositive CD133 is correlated with poor prognosis in metastatic breast cancer patients.

Indexed as

Breast NeoplasmsAC133 AntigenAntigens, CDBiomarkers, TumorFemaleGlycoproteinsHumansNeoplastic Stem CellsPeptidesPrognosisAC133 AntigenAntigens, CDBiomarkers, TumorGlycoproteinsPeptidescancer stem cellsCD133 expressionclinicopathological characteristicsMetastatic breast cancersurvival and response rate

Identifiers

PMID36120770
PMCPMC12364230
OpenAlexW4296077748

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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.