MétaCan
Menu
← Back to cohort
Record W4405047640 · doi:10.1182/blood-2024-208908

Impact of Cooperating Myeloid Gene Mutations on Disease Progression and Survival in Japanese MPN Patients: A Multicenter Study

2024· article· en· W4405047640 on OpenAlexfundno aff
Kotaro Shide, Masami Takeuchi, Kosei Matsue, Takuro Kameda, Masato Yasumi, Takahiro Karasuno, Taizo Shimomura, Hitoshi Suzushima, Kiyoshi Yamashita, Noriaki Kawano, Osamu Imataki, Norimitsu Kadowaki, Akihito Yonezawa, Eiichi Otsuka, Yoshio Saburi, Yuki Tahira, Ayako Kamiunten, Keiichi Akizuki, Masayoshi Karasawa, Ryoma Ikeda, Kengo Matsumoto, Yoko Kubuki, Kazuya Shimoda

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsnot available
FundersChugai PharmaceuticalSierra OncologyEisai
KeywordsMyelofibrosisEssential thrombocythemiaInternal medicineMyeloid leukemiaPolycythemia veraMedicineMyeloidOncologyGene mutationImmunologyGastroenterologyMutationBiologyBone marrowGeneticsGene

Abstract

fetched live from OpenAlex

In addition to driver mutations such as JAK2, CALR, and MPL, some patients with Polycythemia vera (PV), Essential thrombocythemia (ET), and Primary myelofibrosis (PMF) also have mutations common to other myeloid tumors. We conducted this study from 2018 to clarify the impact of such cooperating myeloid gene mutations on survival in real-world clinical settings. We included 622 MPN patients (PV 180, ET 360, PMF 82) from 8 hospitals who were examined for driver mutations for diagnosis and diagnosis confirmation at the University of Miyazaki from March 2007 to March 2023. 69.1% of all DNA samples were collected within 1 year from diagnosis. We investigated gain-of-function hotspot mutations in six genes (IDH1, IDH2, ASXL1, U2AF1, SF3B1, U2AF1) using Sanger sequencing. Loss-of-function mutations without hotspots (e.g., EZH2, TP53, ZRSR2, RUNX1) were not investigated. We retrospectively investigated overall survival and disease progression (progression to myelofibrosis or leukemia in PV and ET, and progression to leukemia in PMF). The median observation period was 5.1, 5.9, and 3.1 years for PV, ET, and PMF, respectively. One or more cooperating mutations were found in 9.4%, 11.7%, and 43.9% of PV, ET, and PMF cases, respectively, with ASXL1 being the most common mutation found in 5.4%, 7.3%, and 26.8% of cases. The incidence of disease progression in PV and ET patients was 0.066 and 0.098 at 10 years, respectively. Patients with cooperating mutations had a higher rate of progression than patients without these mutations (PV: 0.348 vs 0.029, p=0.0088; ET: 0.388 vs 0.060, p<0.0001). The incidence of leukemic transformation in PMF patients was 0.14 at 5 years. Patients with cooperating mutations had a higher rate of transformation compared to patients without these mutations (0.270 vs 0.051, p=0.053).The 10-year overall survival (OS)rates for patients with PV and ET were 87.6% and 85.6%, respectively. The 5-year OS rate for patients with PMF was 62.6%. Patients with cooperative mutations in PV and ET had lower 10-year OS rate than those without (PV: 58.2% vs 91.2%, p=0.02; ET: 74.7% vs 88.1%, p=0.00029).In PMF, patients with these mutations had a lower 5-year OS rates than those without (41.5% vs 80.0%, p=0.00093). We analyzed survival from the time of DNA sampling for 183 patients with PV or ET (55 PV, 128 ET) who were examined for mutations using DNA sampled more than 1 year after diagnosis. The median time from diagnosis to DNA sampling (interquartile range, IQR) was 5.3 years (IQR, 2.2-10.0 years), and the median follow-up period after DNA sampling was 5.4 years. In this patient population, patients with cooperative mutations also had a lower 5-year OS rate compared to patients without mutations (55.4% vs 93.1%, p<0.0001). In this study, genetic mutation analysis did not use NGS, resulting in lower sensitivity in mutation detection and a limited number of genes investigated. Despite these limitations, it was evident that some cooperating myeloid gene mutations had a clear negative impact on both disease progression and survival in real-world clinical settings. Our results also indicate that screening for these mutations may be of prognostic value even during the course of PV or ET. In conclusion, screening for such mutations is crucial for managing all MPN patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.329
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicMyeloproliferative Neoplasms: Diagnosis and Treatment→French-language works237,207→