Evidence map›Paper›PMID 39519001›Full record

ReviewInternational journal of molecular sciences2024

Treatment Strategies for Advanced Endometrial Cancer According to Molecular Classification.

Valentina Tuninetti, Alberto Farolfi, Chiara Rognone, Daniela Montanari, Ugo De Giorgi, Giorgio Valabrega

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Valentina TuninettiDepartment of Oncology, University of Turin, Medical Oncology, Ordine Mauriziano Hospital, 10128 Turin, Italy.ORCID 0000-0002-7377-0888
Alberto FarolfiDepartment of Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori"-IRST S.r.l., 47014 Meldola, Italy.ORCID 0000-0002-3289-8041
Chiara RognoneDepartment of Oncology, University of Turin, Medical Oncology, Ordine Mauriziano Hospital, 10128 Turin, Italy.
Daniela MontanariDepartment of Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori"-IRST S.r.l., 47014 Meldola, Italy.ORCID 0009-0004-0010-0738
Ugo De GiorgiDepartment of Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori"-IRST S.r.l., 47014 Meldola, Italy.ORCID 0000-0001-7520-2908
Giorgio ValabregaDepartment of Oncology, University of Turin, Medical Oncology, Ordine Mauriziano Hospital, 10128 Turin, Italy.ORCID 0000-0001-5444-6305

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of advanced endometrial cancer (EC) has changed in the last few years due to the introduction of a new molecular classification and the approval of immunotherapy. For a long time, carboplatin plus paclitaxel was considered the standard treatment for first-line advanced EC, since the approval of the combination of chemotherapy plus immunotherapy. For patients with recurrent EC, with previous platinum-based chemotherapy, single-agent immunotherapy or in combination with tyrosine-kinase inhibitor (TKI) has been approved according to mismatch repair status. Ongoing trials are exploring the possibility of a chemo-free future for mismatch repair-deficient (dMMR) EC and new molecular targets are under investigation. The treatment paradigm for advanced EC has shifted from standard chemotherapy for all to a more personalized approach. The aim of this review is to provide an updated therapeutic landscape for the management of patients with advanced/metastatic EC according to their disease history and molecular biology.

Indexed as

Endometrial NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansImmunotherapyMolecular Targeted TherapyPaclitaxelProtein Kinase InhibitorsPaclitaxelProtein Kinase Inhibitorsadvanced endometrial cancerimmunotherapypersonalized medicinetarget therapy

Identifiers

PMID39519001
PMCPMC11546263

What OpenQuestion holds

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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.