Evidence map›Paper›PMID 41767046›Full record

ArticleFrontiers in molecular biosciences2026

Unlocking personalized endometrial cancer treatment: the critical role of the BBIRE biobank in sample collection and distribution.

V Bruno, M Betti, L Ciuffreda, A M B Arteni, M Ferretti, F Rossi, C Accetta, C Mandoj, V Laquintana, F De Nicola and 15 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

25 authors.

V Bruno *Gynecologic Oncology Unit, Department of Experimental Clinical Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
M Betti *Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
L CiuffredaGene Expression and Cancer Model Unit, Department of Research, Advanced Diagnostics and Technological Innovation, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
A M B ArteniDepartment of Pathology Unit, Tissue Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
M FerrettiGene Expression and Cancer Model Unit, Department of Research, Advanced Diagnostics and Technological Innovation, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
F RossiDepartment of Pathology Unit, Tissue Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
C AccettaDepartment of Pathology Unit, Tissue Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
C MandojClinical Pathology Unit and Cancer Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
V LaquintanaDepartment of Pathology Unit, Tissue Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
F De NicolaGene Expression and Cancer Model Unit, Department of Research, Advanced Diagnostics and Technological Innovation, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
S DonzelliTranslational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
S VaccarellaTranslational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
A Di MaioGynecologic Oncology Unit, Department of Experimental Clinical Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
T MancusoClinical Pathology Unit and Cancer Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
M HaouiClinical Pathology Unit and Cancer Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
M CarosiDepartment of Pathology Unit, Tissue Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
G CiglianaClinical Pathology Unit and Cancer Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
E PescarmonaDepartment of Pathology Unit, Tissue Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
M FanciulliGene Expression and Cancer Model Unit, Department of Research, Advanced Diagnostics and Technological Innovation, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
G PiaggioGene Expression and Cancer Model Unit, Department of Research, Advanced Diagnostics and Technological Innovation, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
E VizzaGynecologic Oncology Unit, Department of Experimental Clinical Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
M PalloccaInstituto degli Endotipi in Oncologia, Metabolismo e Immunologia "G. Salvatore" (IEOMI), National Research Council, Naples, Italy.
G CilibertoIRCCS Regina Elena National Cancer Institute, Rome, Italy.
G BlandinoTranslational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
S Di MartinoDepartment of Pathology Unit, Tissue Biobank, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Endometrial cancer (EC) is the most common gynecological malignancy and the sixth most common cancer in women. Although it primarily affects women around or after menopause, an increasing number of cases are now being found in women of reproductive age. This shift highlights the need for fertility-sparing treatments and research. Methods: The tumor biobank of the Regina Elena National Cancer Institute (BBIRE) has played a central role in EC research by simplifying the collection and distribution of high-quality samples linked to clinical data. BBIRE follows strict protocols and uses secure databases to protect patient privacy, meet regulations, and keep clinical information accurate. These steps help maintain sample quality and reduce errors before analysis. Results: This research highlights the importance of the BBIRE-tissue processing group in the coordinated management of 545 gynecological tumor samples, comprising 321 EC samples, underscoring its importance as a crucial instrument for translational research. The biobank supports a complete research process, from patient enrollment to molecular data analysis. Its flexible, standardized structure helps ensure reliable results in different research settings. Discussion: As a gynecologic oncology resource, BBIRE facilitates large-scale studies and collaboration among team researchers. This support is essential for identifying new biomarkers, tailoring treatments, and advancing precision medicine. The development of personalized care and improved outcomes for women with EC can be accelerated when work is performed collaboratively by surgeons, biobanks, and researchers. Statement of Significance: The BBIRE Biobank is a game changer in cancer research that enables the integration of annotated samples, multiomics data, and organoid models to identify molecular drivers and accelerate personalized care.

Indexed as

biobankingdigital pathologyendometrial cancermultiomicspatient derived organoidsprecision oncologytranslational oncology

Identifiers

PMID41767046
PMCPMC12935657

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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.