Evidence map›Paper›PMID 40342822›Full record

ArticleFrontiers in oncology2025

Impact of primary cancer history and molecular landscape in therapy-related myeloid neoplasms.

Alessandro Costa, Federica Pilo, Martina Pettinau, Eugenia Piras, Clara Targhetta, Rodrigo Rojas, Paola Deias, Olga Mulas, Giovanni Caocci

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

9 authors.

Alessandro CostaHematology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Federica PiloHematology and HSCT Unit, "A. Businco" Hospital, ARNAS, Brotzu, Cagliari, Italy.
Martina PettinauHematology and HSCT Unit, "A. Businco" Hospital, ARNAS, Brotzu, Cagliari, Italy.
Eugenia PirasHematology and HSCT Unit, "A. Businco" Hospital, ARNAS, Brotzu, Cagliari, Italy.
Clara TarghettaHematology and HSCT Unit, "A. Businco" Hospital, ARNAS, Brotzu, Cagliari, Italy.
Rodrigo RojasHematology and HSCT Unit, "A. Businco" Hospital, ARNAS, Brotzu, Cagliari, Italy.
Paola DeiasHematology and HSCT Unit, "A. Businco" Hospital, ARNAS, Brotzu, Cagliari, Italy.
Olga MulasHematology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Giovanni CaocciHematology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Therapy-related myeloid neoplasms (t-MN) are aggressive hematologic malignancies with poor prognosis and high-risk clinical features. Recent advances have highlighted the role of molecular data in refining prognostic models. This study aims to analyze a monocentric cohort of t-MN patients, focusing on the clinical and prognostic impact of prior malignancies and their associated molecular landscape. Methods: A retrospective analysis was conducted on 61 patients diagnosed with t-MN from an Oncology Hospital and referred to a hematology Unit. Diagnoses were based on established criteria for therapy-related myelodysplastic syndrome (t-MDS) and therapy-related acute myeloid leukemia (t-AML), with a history of prior exposure to cytotoxic therapy. Cytogenetic and molecular analyses supported the diagnoses. Risk stratification was performed using the revised International Prognostic Scoring System (IPSS-R) and molecular IPSS (IPSS-M) for t-MDS and the 2022 European LeukemiaNet (ELN) classification for t-AML. Results: Overall, 61 patients with t-MN were diagnosed: 38 (62.3%) with t-MDS, and 23 (37.7%) with t-AML. The median latency from primary cancer to t-MN diagnosis was 5.8 years (IQR: 2.6-12.5). Risk stratification identified 63.2% of t-MDS cases as IPSS-R very-low to intermediate risk, while 57.9% were reclassified as IPSS-M moderate-high to very high risk. Patients with prior hematologic cancer showed a greater tendency toward higher IPSS-R ( Conclusions: t-MN exhibits distinct clinical and molecular profiles according to prior malignancy type. Intriguingly, our analysis reveals a distinct latency pattern in

Indexed as

allogeneic transplantationhematologic cancerlatencymolecular profilingsolid cancertherapy-related myeloid neoplasmTP53 mutation

Identifiers

PMID40342822
PMCPMC12058663

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