Evidence map›Paper›PMID 33280191›Full record

ArticleCancer science2021

CREB3L1 overexpression as a potential diagnostic marker of Philadelphia chromosome-negative myeloproliferative neoplasms.

Soji Morishita, Hajime Yasuda, Saya Yamawaki, Hideya Kawaji, Masayoshi Itoh, Yoko Edahiro, Misa Imai, Yasushi Kogo, Satoshi Tsuneda, Akimichi Ohsaka and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Diagnosis- and Prognosis-Related Gene Alterations inInternational journal of molecular sciences · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

14 authors at 3 institutions in 1 country.

Soji MorishitaDepartment of Transfusion Medicine and Stem Cell Regulation, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1081-0130
Hajime YasudaDepartment of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2896-7737
Saya YamawakiDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Hideya KawajiRIKEN Preventive Medicine and Diagnosis Innovation Program, Yokohama, Japan.ORCID https://orcid.org/0000-0002-0575-0308
Masayoshi ItohRIKEN Preventive Medicine and Diagnosis Innovation Program, Yokohama, Japan.ORCID https://orcid.org/0000-0002-1772-318X
Yoko EdahiroDepartment of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8386-1871
Misa ImaiDepartment of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5192-5957
Yasushi KogoRIKEN Preventive Medicine and Diagnosis Innovation Program, Yokohama, Japan.
Satoshi TsunedaDepartment of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4624-5359
Akimichi OhsakaDepartment of Transfusion Medicine and Stem Cell Regulation, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1353-922X
Yoshihide HayashizakiRIKEN Preventive Medicine and Diagnosis Innovation Program, Yokohama, Japan.ORCID https://orcid.org/0000-0002-0561-2802
Masafumi ItoDepartment of Pathology, Japanese Red Cross Nagoya First Hospital, Nagoya, Japan.
Marito ArakiDepartment of Transfusion Medicine and Stem Cell Regulation, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3502-5000
Norio KomatsuDepartment of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1880-9126
Juntendo University · JPRIKEN Center for Integrative Medical Sciences · JPWaseda University · JP

Funding

Japan Agency for Medical Research and Development (AMED)Japan Society for the Promotion of Science (JSPS) JP15K15368Japan Society for the Promotion of Science (JSPS) JP16K19203Ministry of Education, Culture, Sports, Science and Technology (MEXT)
6 · The paper itself

Abstract

Discrimination of Philadelphia-negative myeloproliferative neoplasms (Ph-MPNs) from reactive hypercytosis and myelofibrosis requires a constellation of testing including driver mutation analysis and bone marrow biopsies. We searched for a biomarker that can more easily distinguish Ph-MPNs from reactive hypercytosis and myelofibrosis by using RNA-seq analysis utilizing platelet-rich plasma (PRP)-derived RNAs from patients with essential thrombocythemia (ET) and reactive thrombocytosis, and CREB3L1 was found to have an extremely high impact in discriminating the two disorders. To validate and further explore the result, expression levels of CREB3L1 in PRP were quantified by reverse-transcription quantitative PCR and compared among patients with ET, other Ph-MPNs, chronic myeloid leukemia (CML), and reactive hypercytosis and myelofibrosis. A CREB3L1 expression cutoff value determined based on PRP of 18 healthy volunteers accurately discriminated 150 driver mutation-positive Ph-MPNs from other entities (71 reactive hypercytosis and myelofibrosis, 6 CML, and 18 healthy volunteers) and showed both sensitivity and specificity of 1.0000. Importantly, CREB3L1 expression levels were significantly higher in ET compared with reactive thrombocytosis (P < .0001), and polycythemia vera compared with reactive erythrocytosis (P < .0001). Pathology-affirmed triple-negative ET (TN-ET) patients were divided into a high- and low-CREB3L1-expression group, and some patients in the low-expression group achieved a spontaneous remission during the clinical course. In conclusion, CREB3L1 analysis has the potential to single-handedly discriminate driver mutation-positive Ph-MPNs from reactive hypercytosis and myelofibrosis, and also may identify a subgroup within TN-ET showing distinct clinical features including spontaneous remission.

Indexed as

Biomarkers, TumorCyclic AMP Response Element-Binding ProteinDiagnosis, DifferentialHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMyeloproliferative DisordersNerve Tissue ProteinsBiomarkers, TumorCREB3L1 protein, humanCyclic AMP Response Element-Binding ProteinNerve Tissue ProteinsbiomarkerCREB3L1Philadelphia-negative myeloproliferative neoplasmsplatelet RNARNA-seq

Identifiers

PMID33280191
PMCPMC7893984
OpenAlexW3111197272

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.