Evidence map›Paper›PMID 35090523›Full record

ArticleJournal of ovarian research2022

Co-expression of cancer stem cell markers, SALL4/ALDH1A1, is associated with tumor aggressiveness and poor survival in patients with serous ovarian carcinoma.

Mina Sharbatoghli, Parisa Shamshiripour, Fahimeh Fattahi, Elham Kalantari, Zohre Habibi Shams, Mahshid Panahi, Mehdi Totonchi, Zeynab Asadi-Lari, Zahra Madjd, Leili Saeednejad Zanjani

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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  10. SALL4 Oncogenic Function in Cancers: Mechanisms and Therapeutic Relevance.International journal of molecular sciences · 2022
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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

10 authors at 3 institutions in 2 countries.

Mina SharbatoghliOncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Parisa ShamshiripourOncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Fahimeh FattahiOncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Elham KalantariOncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Zohre Habibi ShamsDepartment of Pathology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mahshid PanahiDepartment of Pathology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mehdi TotonchiDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Zeynab Asadi-LariDepartment of Biology, Faculty of Science, University of Toronto, Toronto, Canada.
Zahra MadjdOncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. zahra.madjd@yahoo.com.
Leili Saeednejad ZanjaniOncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. Saeednejad.l@iums.ac.ir.
Iran University of Medical Sciences · IRRoyan Institute · IRUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpalt-like transcription factor 4 (SALL4) and aldehyde dehydrogenase1 family member A1 (ALDH1A1) expressing cells have been characterized as possessing stem cell-like properties known as cancer stem cell marker in serous ovarian carcinoma (SOC).

methodsThe association between SALL4 and ALDH1A1 was observed based on literature review and bioinformatics tools. Therefore, this study aimed to investigate the association between the co-expression of SALL4/ALDH1A1 proteins and clinicopathological parameters and their prognostic value in SOC patients using immunohistochemical staining on tissue microarrays (TMAs). Furthermore, benign tumors and normal tissue samples were compared with the expression of the tumor tissue samples.

resultsIncreased co-expression of SALL4/ALDH1A1 was found to be significantly associated with the advanced FIGO stage (P = 0.047), and distant metastasis (P = 0.028). The results of Kaplan-Meier survival analysis indicated significant differences between disease- specific survival (DSS; P = 0.034) or progression-free survival (PFS; P = 0.018) and the patients with high and low co-expression of SALL4/ALDH1A1, respectively. Furthermore, high level co-expression of SALL4/ALDH1A1 was a significant predictor of worse DSS and PFS in the univariate analysis. The data also indicated that the co-expression of SALL4/ALDH1A1 was an independent prognostic factor affecting PFS. Moreover, the co-expression of SALL4/ALDH1A1 added prognostic values of DSS in patients with SOC who had grade III versus grade I in multivariate analysis.

conclusionsOur data demonstrated that high co-expression of SALL4/ALDH1A1 was found to be significantly associated with tumor aggressiveness and worse DSS or PFS in SOC patients. Therefore, co-expression of SALL4/ALDH1A1 may serve as a potential prognostic biomarker of cancer progression in these cases.

Indexed as

AdolescentAdultAgedAldehyde Dehydrogenase 1 FamilyBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMiddle AgedNeoplastic Stem CellsOvarian NeoplasmsOvaryPrognosisProtein Interaction MapsRetinal DehydrogenaseAldehyde Dehydrogenase 1 FamilyALDH1A1 protein, humanBiomarkers, TumorRetinal DehydrogenaseSALL4 protein, humanTranscription FactorsALDH1A1Immunohistochemistry (IHC)PrognosisSALL4Serous ovarian carcinoma (SOC)Tissue microarray (TMA)

Identifiers

PMID35090523
PMCPMC8800292
OpenAlexW4210403697

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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.