Evidence map›Paper›PMID 41295223›Full record

ReviewJournal of personalized medicine2025

Novel Treatment Concepts for Cervical Cancer-Moving Towards Personalized Therapy.

Melina Danisch, Magdalena Postl, Thomas Bartl, Christoph Grimm, Alina Sturdza, Nicole Concin, Stephan Polterauer

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Melina DanischDepartment of Obstetrics and Gynecology, Comprehensive Cancer Center Vienna, Division of General Gynecology and Gynecological Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0009-0003-0289-3738
Magdalena PostlDepartment of Obstetrics and Gynecology, Comprehensive Cancer Center Vienna, Division of General Gynecology and Gynecological Oncology, Medical University of Vienna, 1090 Vienna, Austria.
Thomas BartlDepartment of Obstetrics and Gynecology, Comprehensive Cancer Center Vienna, Division of General Gynecology and Gynecological Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-1938-1574
Christoph GrimmDepartment of Obstetrics and Gynecology, Comprehensive Cancer Center Vienna, Division of General Gynecology and Gynecological Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-2948-8129
Alina SturdzaDepartment of Radiooncology, Medical University of Vienna, 1090 Vienna, Austria.
Nicole ConcinDepartment of Obstetrics and Gynecology, Comprehensive Cancer Center Vienna, Division of General Gynecology and Gynecological Oncology, Medical University of Vienna, 1090 Vienna, Austria.
Stephan PolterauerDepartment of Obstetrics and Gynecology, Comprehensive Cancer Center Vienna, Division of General Gynecology and Gynecological Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-9649-4505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, several randomized controlled trials have been published regarding cervical cancer therapy and significantly changed the treatment landscape. Recent advances have improved the treatment options and allow personalized treatment concepts with escalation of treatment in high-risk disease and de-escalation with reduction in morbidity in selected low-risk patients. This review aims to provide a comprehensive analysis of the latest landmark studies that are poised to significantly influence clinical practice. Personalized treatment concepts with careful patient selection allow de-escalation in the surgical treatment of cervical cancer. In low-risk cervical cancer patients (lesions of ≤2 cm with limited stromal invasion), simple hysterectomy (SH) was non-inferior to radical hysterectomy in terms of 3-year incidence of pelvic recurrence and was associated with a lower risk of urinary incontinence or retention and improved sexual health and quality of life. Furthermore, sentinel lymphadenectomy is constantly replacing systematic pelvic lymphadenectomy in patients with low-risk cervical cancer. In addition, further studies are necessary to clarify the role of postoperative therapy for patients with intermediate-risk cervical cancer. Starting in 2008, the EMBRACE studies assess the role of Image guided adaptive brachytherapy (IGABT) in LACC in addition to modern external beam radiotherapy concurrent to chemotherapy. The publication of the results of the EMBRACE I prospective study established MRI guided IGABT as state-of-the-art brachytherapy for LACC. EMBRACE II and additional prospective studies emerging from this consortium will address important questions in modern radiotherapy for LACC. Immune checkpoint inhibitors (CPIs) have been evaluated across various clinical settings and are expected to be utilized in numerous scenarios due to several positive randomized trials. Particularly, the combination of platinum-based chemotherapy and pembrolizumab, with or without bevacizumab, has been established as the new standard treatment for primary metastatic or recurrent PD-L1 positive high-risk cervical cancer. In locally advanced cervical cancer, two new treatment escalation regimens-neoadjuvant chemotherapy and adjuvant CPI therapy-have been evaluated in addition to chemoradiation. Furthermore, antibody-drug conjugates, such as tisotumab-vedotin, represent a promising future therapeutic option for recurrent cervical cancer.

Indexed as

cervical cancerchemo-radiationimmune checkpoint inhibitorradical hysterectomysentinel lymph node dissectionsurgical treatment

Identifiers

PMID41295223
PMCPMC12653780

What OpenQuestion holds

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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.