A serum metabolomic fingerprint of bevacizumab and temsirolimus combination as first-line treatment of metastatic renal cell carcinoma.

Author: BlancEllen, ChevreauChristine, Elena-HerrmannBénédicte, EscudierBernard, GravisGwenaelle, JobardElodie, NégrierSylvie, TrédanOlivier

Paper Details 
Original Abstract of the Article :
Renal cell carcinoma is one of the most chemoresistant cancers, and its metastatic form requires administration of targeted therapies based on angiogenesis or mTOR inhibitors. Understanding how these treatments impact the human metabolism is essential to predict the host response and adjust personal...See full text at original site
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引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647878/

データ提供:米国国立医学図書館(NLM)

Metabolic Signatures of Targeted Therapies in Metastatic Renal Cell Carcinoma

In the vast desert of cancer research, renal cell carcinoma is a particularly stubborn oasis, known for its resistance to conventional therapies. To conquer this challenge, scientists have developed targeted therapies that focus on specific pathways involved in cancer growth. This study, like a camel navigating a treacherous sandstorm, delves into the metabolic landscape of metastatic renal cell carcinoma (mRCC) patients receiving targeted therapies. They used a powerful technique called metabolomics, which analyzes the complete set of small molecules in biological samples, to identify metabolic signatures associated with these treatments.

Unveiling the Metabolic Secrets of Targeted Therapies

The researchers found that targeted therapies, like bevacizumab and temsirolimus, left a distinctive metabolic fingerprint in the blood of mRCC patients. This discovery could lead to personalized treatment strategies, where a patient's metabolic profile is used to guide their therapy and predict their response. Think of it like using a compass to navigate through the intricacies of cancer treatment.

A New Era of Personalized Medicine

By understanding the metabolic changes induced by targeted therapies, doctors can tailor treatments to individual patients, maximizing their chances of success while minimizing side effects. This personalized approach, like an oasis offering life-sustaining water in the arid landscape of cancer, holds immense promise for improving patient outcomes.

Dr. Camel's Conclusion

This study is a valuable step forward in understanding the complex interplay between targeted therapies and the human metabolism in mRCC. By unmasking the metabolic signatures associated with these treatments, we can pave the way for more effective and personalized therapies, ultimately leading to a brighter future for patients battling this formidable foe.
Date :
  1. Date Completed 2016-01-28
  2. Date Revised 2021-12-03
Further Info :

Pubmed ID

26372698

DOI: Digital Object Identifier

PMC4647878

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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