Evidence map›Paper›PMID 40087986›Full record

Trial reportInternational journal of cancer2025

Hematologic and molecular responses to ropeginterferon alfa-2b therapy of polycythemia vera: 48-week results from a prospective study.

Seug Yun Yoon, Sung-Soo Yoon, Deok-Hwan Yang, Gyeong-Won Lee, Sang Kyun Sohn, Ho-Jin Shin, Sung Hwa Bae, Chul Won Choi, Eun-Ji Choi, June-Won Cheong and 6 more

Abstract readClinical Trial, Phase IIMulticenter Study
In one paragraph

Trial report in International journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

16 authors.

Seug Yun YoonDivision of Hematology & Medical Oncology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Korea.
Sung-Soo YoonDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Deok-Hwan YangDepartment of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Jeollanam-do, Korea.
Gyeong-Won LeeDivision of Hematology-Oncology, Department of Internal Medicine, Institute of Health Science, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju, Korea.
Sang Kyun SohnDepartment of Hematology/Oncology, Kyungpook National University Hospital, Daegu, Korea.
Ho-Jin ShinDepartment of Hematology/Oncology, Pusan National University Hospital, Busan, Korea.
Sung Hwa BaeDivision of Hematology/Oncology, Department of Internal Medicine, Daegu Catholic, University Hospital, Daegu Catholic University School of Medicine, Daegu, Korea.
Chul Won ChoiDivision of Oncology and Hematology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.
Eun-Ji ChoiDepartment of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
June-Won CheongDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Soo-Mee BangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Joon Seong ParkDepartments of Hematology-Oncology, Ajou University School of Medicine, Suwon, Korea.
Suk Joong OhDepartment of Oncology and Hematology, Hanyang University Medical Center Seoul, Seoul, Korea.
Yong ParkDivision of Hematology-Oncology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Young Hoon ParkDivision of Hematology-Oncology, Department of Internal Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea.
Sung-Eun LeeDepartment of Hematology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Funding

PharmaEssentia, Taiwan
6 · The paper itself

Abstract

To prevent thrombosis in patients with polycythemia vera (PV), achieving a complete hematologic response (CHR) is highly recommended in practice. In addition, a reduced JAK2 V617F mutation burden is expected to have a disease-modifying effect, and its molecular response (MR) is currently of significant interest. This study aimed to assess the association between CHR and MR in patients with PV following treatment with ropeginterferon alfa-2b. This phase 2, single-arm, open-label, investigator-initiated trial was conducted at 16 sites in South Korea. Ninety-nine patients were treated with ropeginterferon alfa-2b subcutaneously every 2 weeks, at doses of 250 μg (week 1), 350 μg (week 3), and 500 μg (week 5), until week 48. CHRs were 27% (25/94), 46% (40/87), 56% (47/84), and 63% (51/81) at 12, 24, 36, and 48 weeks, respectively. The MR rates were 32% (28/88), 36% (29/81), 49% (38/77), and 57% (42/74) at 12, 24, 36, and 48 weeks, respectively. The Phi Coefficient for the association between CHR and MR was 0.6146 (p < .0001) at 48 weeks. In the subgroup analysis, patients with hydroxyurea resistance or intolerance, and those who were hydroxyurea-naïve, had similar results in terms of the CHR. In conclusion, CHR and MR were observed to be associated in patients with PV treated with ropeginterferon.

Indexed as

Interferon-alphaPolycythemia VeraPolyethylene GlycolsAdultAgedFemaleHumansInterferon alpha-2Janus Kinase 2MaleMiddle AgedMutationProspective StudiesRecombinant ProteinsTreatment OutcomeInterferon-alphaInterferon alpha-2JAK2 protein, humanJanus Kinase 2peginterferon alfa-2bPolyethylene GlycolsRecombinant ProteinsassociationCHRMRpolycythemia veraropeginterferon alfa‐2b

Identifiers

PMID40087986
PMCPMC12141981

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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.