Functional Precision Medicine Identifies New Therapeutic Candidates for Medulloblastoma.

Author: BaxterPatricia A, BerensMichael E, BrabetzSebastian, ChauLianne Q, ChoYoon-Jae, CrawfordJohn R, DimmockDavid P, DuYuchen, EckerJonas, FinlayDarren, GarancherAlexandra, GröbnerSusanne, HendersonJacob J, JensenJames, JuarezEdwin F, KogisoMari, KoolMarcel, LevyMichael L, LiXiao-Nan, MalickiDenise, MesirovJill P, MildeTill, NahasShareef A, OlsonJames M, PfisterStefan M, QiLin, ReardonBrendan, ReyesIris, RusertJessica M, Seker-CinHuriye, SerranoJonathan, SnuderlMatija, Tacheva-GrigorovaSilvia K, TamayoPablo, UdakaYoko T, Van AllenEliezer M, VuoriKristiina, WahabSameerah, Wechsler-ReyaRobert J, WongTerence C

Paper Details 
Original Abstract of the Article :
Medulloblastoma is among the most common malignant brain tumors in children. Recent studies have identified at least four subgroups of the disease that differ in terms of molecular characteristics and patient outcomes. Despite this heterogeneity, most patients with medulloblastoma receive similar th...See full text at original site
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引用元:
https://pubmed.ncbi.nlm.nih.gov/33046443

データ提供:米国国立医学図書館(NLM)

Tailoring Treatment for Medulloblastoma: A Personalized Approach

Medulloblastoma, a type of brain tumor that often affects children, is a formidable adversary. It's like a desert mirage, appearing deceptively benign but hiding a dangerous reality. Recent research has revealed a complex landscape within this disease, with at least four subgroups each exhibiting unique molecular characteristics and treatment responses. This study explores the potential of precision medicine – a tailored approach that targets the specific needs of each patient – to improve outcomes for medulloblastoma patients.

The researchers, like astute detectives, assembled a panel of patient-derived xenografts (PDXs), which are miniature versions of tumors grown in the laboratory. They then subjected these PDXs to a comprehensive analysis, examining their DNA sequences, gene expression profiles, and responses to a wide array of drugs. This approach allowed them to pinpoint potential therapies that might be effective for each individual tumor.

Beyond Genomics: A Functional Approach

Surprisingly, DNA sequencing, a common tool for identifying mutations, didn't reveal many actionable targets. However, the researchers discovered that gene expression and drug response data offered valuable insights into each tumor's unique vulnerabilities. For example, they found that actinomycin D, a drug typically used for sarcomas, was effective against Group 3 medulloblastoma, the most aggressive form of the disease. This suggests that functional analysis, which examines how cells behave in response to treatment, can provide a more comprehensive understanding of individual tumors than genomic analysis alone.

A New Oasis in Medulloblastoma Treatment

This study, like a beacon in the desert, illuminates the promise of precision medicine in treating medulloblastoma. It challenges the traditional one-size-fits-all approach and emphasizes the importance of tailoring therapies to the specific characteristics of each patient's tumor. By focusing on the functional aspects of the disease, researchers can potentially identify more effective treatments and improve outcomes for patients battling this challenging condition.

Dr. Camel's Conclusion

Medulloblastoma, like a treacherous sandstorm, presents many challenges. But the researchers, like intrepid explorers, have discovered a new oasis of hope in the form of precision medicine. By taking a personalized approach, we can navigate the complexities of this disease and find more effective treatments for each individual patient. This study is a reminder that the journey towards better healthcare is never-ending, and that by embracing innovation and personalized medicine, we can create a brighter future for those affected by this devastating disease.

Date :
  1. Date Completed 2021-03-05
  2. Date Revised 2022-12-07
Further Info :

Pubmed ID

33046443

DOI: Digital Object Identifier

NIHMS1637823

Related Literature

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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