Evidence map›Paper›PMID 37353849›Full record

ReviewJournal of hematology & oncology2023

Development and application of nanomaterials, nanotechnology and nanomedicine for treating hematological malignancies.

Jinxin Li, Qiwei Wang, Yingli Han, Lingli Jiang, Siqi Lu, Beini Wang, Wenchang Qian, Meng Zhu, He Huang, Pengxu Qian

Abstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  14. Advances in nano-immunotherapy for hematological malignancies.Experimental hematology & oncology · 2024
    Review
  15. Review
  16. Article
  17. Review
  18. Review
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

10 authors.

Jinxin Li *Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Qiwei Wang *Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Yingli Han *Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Lingli Jiang *Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Siqi LuCenter for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Beini WangCenter for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Wenchang QianCenter for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Meng ZhuCenter for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
He HuangLiangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou, China. huanghe@zju.edu.cn.
Pengxu QianCenter for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China. axu@zju.edu.cn.

Funding

China Postdoctoral Science Foundation (CPSF) 2021M702853Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang 2020R01006National Key Research and Development Program of China 2022YFA1103500National Natural Science Foundation of China 31971318National Natural Science Foundation of China 82161138028National Natural Science Foundation of China 82222003National Natural Science Foundation of China 92268117Zhejiang Provincial Natural Science Foundation of China Exploration Project LQ21H180006
6 · The paper itself

Abstract

Hematologic malignancies (HMs) pose a serious threat to patients' health and life, and the five-year overall survival of HMs remains low. The lack of understanding of the pathogenesis and the complex clinical symptoms brings immense challenges to the diagnosis and treatment of HMs. Traditional therapeutic strategies for HMs include radiotherapy, chemotherapy, targeted therapy and hematopoietic stem cell transplantation. Although immunotherapy and cell therapy have made considerable progress in the last decade, nearly half of patients still relapse or suffer from drug resistance. Recently, studies have emerged that nanomaterials, nanotechnology and nanomedicine show great promise in cancer therapy by enhancing drug targeting, reducing toxicity and side effects and boosting the immune response to promote durable immunological memory. In this review, we summarized the strategies of recently developed nanomaterials, nanotechnology and nanomedicines against HMs and then proposed emerging strategies for the future designment of nanomedicines to treat HMs based on urgent clinical needs and technological progress.

Indexed as

Hematologic NeoplasmsNanostructuresNeoplasmsDrug Delivery SystemsHumansNanomedicineNanotechnologyNeoplasm Recurrence, LocalHematological malignanciesHematopoietic stem cell transplantationImmunotherapyNanomedicineTargeted drug delivery

Identifiers

PMID37353849
PMCPMC10290401

What OpenQuestion holds

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LicenceCC BY
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.