BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//6.6.4.4//EN
TZID:Asia/Jerusalem
X-WR-TIMEZONE:Asia/Jerusalem
BEGIN:VEVENT
UID:1117@biotech.technion.ac.il
DTSTART;TZID=Asia/Jerusalem:20230724T140000
DTEND;TZID=Asia/Jerusalem:20230724T150000
DTSTAMP:20230723T125530Z
URL:https://biotech.technion.ac.il/events/beyond-ki67-novel-biomarker-pred
 iction-for-tumor-growth-rates-using-machine-learning/
SUMMARY:Beyond KI67: Novel Biomarker Prediction for Tumor Growth Rates Usin
 g Machine Learning
DESCRIPTION:The predominant characteristic of cancer is uncontrolled growth
 \, and it has been demonstrated that tumor growth rate correlates with sur
 vival across a variety of tumor types. Measuring this growth rate directly
  necessitates evaluating the tumor size at two different points in time. U
 nfortunately\, this is often impossible since tumors are typically removed
  shortly after diagnosis. An alternative is to assess the level of a bioma
 rker that corresponds with the growth rate. A commonly used biomarker is t
 he KI67 protein level. However\, while KI67 levels serve as a suitable bio
 marker in healthy cells\, they pose challenges in tumor samples due to fre
 quent dysregulation in many types of tumors.\nHere I would like to suggest
  a new approach to identifying an effective growth rate biomarker for tumo
 rs involves its derivation from the analysis of cancer cell lines\, in whi
 ch the growth rate can be easily measured. In this study\, I thoroughly an
 alyzed various types of omics data from 541 cancer cell lines sourced from
  the Cancer Cell Line Encyclopedia (CCLE)\, where their doubling times are
  known. Specifically\, I sought mutated genes\, copy number events\, and g
 ene RNA expressions that correlated with the doubling time. Notably\, KI67
  demonstrated only a weak correlation with doubling time\, and more than 2
 000 genes exhibited a stronger correlation.
CATEGORIES:סמינרים
END:VEVENT
BEGIN:VTIMEZONE
TZID:Asia/Jerusalem
X-LIC-LOCATION:Asia/Jerusalem
BEGIN:DAYLIGHT
DTSTART:20230324T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:IDT
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR