Evidence map›Paper›PMID 24963497›Full record

Trial reportJournal of immunology research2014

Low-dose decitabine-based chemoimmunotherapy for patients with refractory advanced solid tumors: a phase I/II report.

Hui Fan, Xuechun Lu, Xiaohui Wang, Yang Liu, Bo Guo, Yan Zhang, Wenying Zhang, Jing Nie, Kaichao Feng, Meixia Chen and 6 more

2 registry-linked trialsOpen access · goldAbstract readClinical Trial, Phase IClinical Trial, Phase IIRandomized Controlled Trial
In one paragraph

Trial report in Journal of immunology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.1field-weighted citation impact, top 8% 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.

NCT01799083 phase1 / phase2unknown statusnot on this map

Phase 1/2 Study of Decitabine Alone and/or in Combination With Chemotherapy and/or Cytokine Induced Killer Cell Transfusion in Patients With Relapsed or Refractory Solid Tumors and B Cell Lymphomas

TypeinterventionalSponsorHan weidongRan2012 to 2017Enrolled100ConditionsSolid Tumors, B Cell LymphomaArmsDecitabine, cytokine-induced killer cell
NCT02159820 phase2 / phase3unknown statusnot on this map

Addition of Decitabine to Carboplatin-Paclitaxel in First-Line Treatment of Advanced Ovarian Cancer: A Phase 2-3, Open-label, Randomised Controlled Trial

TypeinterventionalSponsorChinese PLA General HospitalRan2014 to 2024Enrolled500ConditionsPrimary Malignant Neoplasm of Ovary, FIGO Stages II to IVArmsDecitabine (DTC Arm), Paclitaxel and Carboplatin (TC Arm)
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 61 citations in OpenAlex.

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  10. Getting the right combination to break the epigenetic code.Nature reviews. Clinical oncology · 2025
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  16. Epigenetic reprogramming in cancer: From diagnosis to treatment.Frontiers in cell and developmental biology · 2023
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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 at 1 institution in 1 country.

Hui FanDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China ; Department of Geriatric Hematology, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Xuechun LuDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China ; Department of Geriatric Hematology, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Xiaohui WangDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Yang LiuDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China ; Department of Geriatric Hematology, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Bo GuoDepartment of Geriatric Hematology, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Yan ZhangDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Wenying ZhangDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Jing NieDepartment of Immunology, Institute of Basic Medicine, Medical College of PLA, Chinese PLA General Hospital, Beijing 100853, China.
Kaichao FengDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Meixia ChenDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Yajing ZhangDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Yao WangDepartment of Immunology, Institute of Basic Medicine, Medical College of PLA, Chinese PLA General Hospital, Beijing 100853, China.
Fengxia ShiDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Xiaobing FuDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Hongli ZhuDepartment of Geriatric Hematology, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.
Weidong HanDepartment of Bio-Therapy, College of Life Sciences, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China ; Department of Immunology, Institute of Basic Medicine, Medical College of PLA, Chinese PLA General Hospital, Beijing 100853, China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant DNA methylation is one of the main drivers of tumor initiation and progression. The reversibility of methylation modulation makes it an attractive target for novel anticancer therapies. Clinical studies have demonstrated that high-dose decitabine, a hypomethylating agent, results in some clinical benefits in patients with refractory advanced tumors; however, they are extremely toxic. Low doses of decitabine minimize toxicity while potentially improving the targeted effects of DNA hypomethylation. Based on these mechanisms, low-dose decitabine combined with chemoimmunotherapy may be a new treatment option for patients with refractory advanced tumors. We proposed the regimen of low-dose decitabine-based chemoimmunotherapy for patients with refractory advanced solid tumors. A favorable adverse event profile was observed in our trial that was highlighted by the finding that most of these adverse events were grades 1-2. Besides, the activity of our cohort was optimistic and the clinical benefit rate was up to 60%, and the median PFS was prolonged compared with PFS to previous treatment. We also identified a significant correlation between the PFS to previous treatment and clinical response. The low-dose DAC decitabine-based chemoimmunotherapy might be a promising protocol for improving the specificity and efficiency of patients with refractory advanced solid tumors. This trial is registered in the ClinicalTrials.gov database (identifier NCT01799083).

Indexed as

AdultAgedAged, 80 and overAntimetabolites, AntineoplasticAntineoplastic Combined Chemotherapy ProtocolsAzacitidineCarcinomaCombined Modality TherapyCyclophosphamideDecitabineDNA MethylationDNA Modification MethylasesDouble-Blind MethodDoxorubicinFemaleHumansAntimetabolites, AntineoplasticAzacitidineCyclophosphamideDecitabineDNA Modification MethylasesDoxorubicinPrednisoneVincristine

Identifiers

PMID24963497
PMCPMC4054619
OpenAlexW2007757039

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.