Evidence map›Paper›PMID 38601081›Full record

ReviewFrontiers in cell and developmental biology2024

Revolutionizing pediatric neuroblastoma treatment: unraveling new molecular targets for precision interventions.

Min Zheng, Ankush Kumar, Vishakha Sharma, Tapan Behl, Aayush Sehgal, Pranay Wal, Nirmala Vikram Shinde, Bhosale Sachin Kawaduji, Anupriya Kapoor, Md Khalid Anwer and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Cancer Immunotherapy-An Overview.Cancer treatment and research · 2025
    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

14 authors at 8 institutions in 5 countries.

Min Zheng *Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Ankush Kumar *Amity School of Pharmaceutical Sciences, Amity University, Mohali, Punjab, India.
Vishakha SharmaAmity School of Pharmaceutical Sciences, Amity University, Mohali, Punjab, India.
Tapan BehlAmity School of Pharmaceutical Sciences, Amity University, Mohali, Punjab, India.
Aayush SehgalGHG Khalsa College of Pharmacy, Ludhiana, Punjab, India.
Pranay WalPranveer Singh Institute of Technology, Pharmacy, Kanpur, Uttar Pradesh, India.
Nirmala Vikram ShindeSMBT College of Pharmacy, Ghoti Kh, Maharashtra, India.
Bhosale Sachin KawadujiSMBT College of Pharmacy, Ghoti Kh, Maharashtra, India.
Anupriya KapoorSchool of Pharmaceutical Sciences, Chhatrapati Shahu Ji Maharaj University, Kanpur, Uttar Pradesh, India.
Md Khalid AnwerDepartment of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
Monica GulatiSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India.
Bairong ShenJoint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Rajeev K SinglaJoint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Simona Gabriela BungauDepartment of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania.
Hindu College of Pharmacy · INSichuan University · CNBeijing Academy of Artificial Intelligence · CNChhatrapati Shahu Ji Maharaj University · INDelhi Pharmaceutical Science and Research University · INIndian Institute of Technology Kanpur · INPrince Sattam Bin Abdulaziz University · SAUniversity of Oradea · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastoma (NB) is the most frequent solid tumor in pediatric cases, contributing to around 15% of childhood cancer-related deaths. The wide-ranging genetic, morphological, and clinical diversity within NB complicates the success of current treatment methods. Acquiring an in-depth understanding of genetic alterations implicated in the development of NB is essential for creating safer and more efficient therapies for this severe condition. Several molecular signatures are being studied as potential targets for developing new treatments for NB patients. In this article, we have examined the molecular factors and genetic irregularities, including those within insulin gene enhancer binding protein 1 (ISL1), dihydropyrimidinase-like 3 (DPYSL3), receptor tyrosine kinase-like orphan receptor 1 (ROR1) and murine double minute 2-tumor protein 53 (MDM2-P53) that play an essential role in the development of NB. A thorough summary of the molecular targeted treatments currently being studied in pre-clinical and clinical trials has been described. Recent studies of immunotherapeutic agents used in NB are also studied in this article. Moreover, we explore potential future directions to discover new targets and treatments to enhance existing therapies and ultimately improve treatment outcomes and survival rates for NB patients.

Indexed as

immunotherapymolecular targetsneuroblastomaprecision interventionspreclinical studies

Identifiers

PMID38601081
PMCPMC11004261
OpenAlexW4393231415

What OpenQuestion holds

Textmetadata
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.