View source for 18509663. MARKERS, METHODS AND SYSTEMS FOR IDENTIFYING CELL POPULATIONS, DIAGNOSING, MONITORING, PREDICTING AND TREATING CONDITIONS simplified abstract (Fred Hutchinson Cancer Center)

=MARKERS, METHODS AND SYSTEMS FOR IDENTIFYING CELL POPULATIONS, DIAGNOSING, MONITORING, PREDICTING AND TREATING CONDITIONS=


==Organization Name==

[[:Category:Fred Hutchinson Cancer Center|Fred Hutchinson Cancer Center]]


[[Category:Fred Hutchinson Cancer Center]]

==Inventor(s)==

[[:Category:Evan Greene of Seattle WA (US)|Evan Greene of Seattle WA (US)]][[Category:Evan Greene of Seattle WA (US)]]

[[:Category:Greg Finak of Lake Forest Park WA (US)|Greg Finak of Lake Forest Park WA (US)]][[Category:Greg Finak of Lake Forest Park WA (US)]]

[[:Category:Raphael Gottardo of Seattle WA (US)|Raphael Gottardo of Seattle WA (US)]][[Category:Raphael Gottardo of Seattle WA (US)]]

==MARKERS, METHODS AND SYSTEMS FOR IDENTIFYING CELL POPULATIONS, DIAGNOSING, MONITORING, PREDICTING AND TREATING CONDITIONS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18509663 titled 'MARKERS, METHODS AND SYSTEMS FOR IDENTIFYING CELL POPULATIONS, DIAGNOSING, MONITORING, PREDICTING AND TREATING CONDITIONS

==Simplified Explanation==

The patent application discusses markers, methods, and systems for identifying cell populations, diagnosing, monitoring, and treating cancer, with a focus on biomarkers predictive of response to immunotherapy treatment in Merkel cell carcinoma.

* Identification of cell populations in cancer
* Diagnosis, monitoring, and treatment of cancer
* Biomarkers predictive of response to immunotherapy in Merkel cell carcinoma

== Potential Applications ==
The technology described in the patent application could be applied in:
* Precision medicine for cancer treatment
* Development of personalized immunotherapy strategies

== Problems Solved ==
This technology addresses the following issues:
* Identifying specific cell populations in cancer
* Predicting response to immunotherapy treatment

== Benefits ==
The benefits of this technology include:
* Improved cancer diagnosis and treatment
* Personalized medicine approaches for better patient outcomes

== Potential Commercial Applications ==
The potential commercial applications of this technology include:
* Development of diagnostic tests for cancer
* Pharmaceutical companies for drug development targeting specific cell populations

== Possible Prior Art ==
One possible prior art in this field is the use of biomarkers in cancer diagnosis and treatment. Previous studies have explored the role of biomarkers in predicting response to immunotherapy in various types of cancer.

== Unanswered Questions ==
=== How does this technology compare to existing methods for identifying cell populations in cancer? ===
The patent application does not provide a direct comparison to existing methods for identifying cell populations in cancer. Further research or data may be needed to evaluate the effectiveness of this technology in comparison to current practices.

=== What are the specific biomarkers identified in Merkel cell carcinoma for predicting response to immunotherapy? ===
The patent application mentions biomarkers predictive of response to immunotherapy in Merkel cell carcinoma but does not specify the exact biomarkers. Additional information or research may be required to understand the specific biomarkers involved.


==Original Abstract Submitted==

Disclosed herein are to markers, methods and systems for identifying cell populations, diagnosing, monitoring and treating cancer, including biomarkers predictive of response to immunotherapy treatment in Merkel cell carcinoma.



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