Evidence map›Paper›PMID 35053468›Full record

ArticleCancers2022

AKT Isoforms Interplay in High-Grade Serous Ovarian Cancer Prognosis and Characterization.

Eros Azzalini, Domenico Tierno, Michele Bartoletti, Renzo Barbazza, Giorgio Giorda, Fabio Puglisi, Sabrina Chiara Cecere, Nunzia Simona Losito, Daniela Russo, Giorgio Stanta and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Overview of Tumor Heterogeneity in High-Grade Serous Ovarian Cancers.International journal of molecular sciences · 2023
    Review
  4. 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

12 authors at 4 institutions in 1 country.

Eros AzzaliniDepartment of Medical Sciences (DSM), University of Trieste, 34147 Trieste, Italy.
Domenico TiernoDepartment of Medical Sciences (DSM), University of Trieste, 34147 Trieste, Italy.
Michele BartolettiUnit of Medical Oncology and Cancer Prevention, Department of Medical Oncology, IRCCS CRO Aviano-National Cancer Institute, 33081 Aviano, Italy.ORCID 0000-0002-9631-5693
Renzo BarbazzaDepartment of Medical Sciences (DSM), University of Trieste, 34147 Trieste, Italy.
Giorgio GiordaUnit of Gynecologic Oncology Surgery, IRCCS CRO Aviano, National Cancer Institute, 33081 Aviano, Italy.
Fabio PuglisiUnit of Medical Oncology and Cancer Prevention, Department of Medical Oncology, IRCCS CRO Aviano-National Cancer Institute, 33081 Aviano, Italy.ORCID 0000-0003-0573-4938
Sabrina Chiara CecereIstituto Nazionale Tumori IRCCS-Fondazione G. Pascale, 80131 Napoli, Italy.
Nunzia Simona LositoIstituto Nazionale Tumori IRCCS-Fondazione G. Pascale, 80131 Napoli, Italy.
Daniela RussoIstituto Nazionale Tumori IRCCS-Fondazione G. Pascale, 80131 Napoli, Italy.ORCID 0000-0001-9471-1935
Giorgio StantaDepartment of Medical Sciences (DSM), University of Trieste, 34147 Trieste, Italy.
Vincenzo CanzonieriDepartment of Medical Sciences (DSM), University of Trieste, 34147 Trieste, Italy.ORCID 0000-0001-6010-0976
Serena BoninDepartment of Medical Sciences (DSM), University of Trieste, 34147 Trieste, Italy.ORCID 0000-0002-7349-0296
University of Trieste · ITIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITUniversity of Udine · ITCentro di Riferimento Oncologico · IT

Funding

European Commission H2020 Hercules Project, GA 667403
6 · The paper itself

Abstract

High-grade serous ovarian cancer (HGSOC) is among the deadliest gynecological malignancies. The acquired resistance to platinum-based therapies and the intrinsic heterogeneity of the disease contribute to the low survival rate. To improve patients' outcomes, new combinatorial approaches able to target different tumor vulnerabilities and enhance the efficacy of the current therapies are required. AKT inhibitors are promising antineoplastic agents able to act in synergy with PARP inhibitors, but the spectrum of patients who can benefit from this combination is unclear, since the role of the three different isoforms of AKT is still unknown. Here, we study the expression of AKT isoforms on a retrospective cohort of archive tissue by RT-droplet digital PCR (ddPCR) analyzing their association with the clinicopathological features of patients. Based on AKT1/AKT2 and AKT1/AKT3 ratios, we define four AKT classes which were related to patients' survival, tumor morphology and BRCA1 expression. Moreover, our results show that high AKT3 expression levels were frequently associated with tumors having classic features, a low number of mitoses and the presence of psammoma bodies. Overall, our study obtains new insights on AKT isoforms and their associations with the clinicopathological features of HGSOC patients. These evidences could help to better define the subsets of patients who can benefit from AKT and PARP inhibitors therapy in future clinical trials.

Indexed as

AKT1AKT2AKT3BRCA statusclassicHGSOChomologous recombination statusSETsurrogate marker

Identifiers

PMID35053468
PMCPMC8773580
OpenAlexW4205594357

What OpenQuestion holds

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LicenceCC BY
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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.