BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250822T115810Z
LOCATION:Campussaal - Plenary Room
DTSTART;TZID=Europe/Stockholm:20250617T103000
DTEND;TZID=Europe/Stockholm:20250617T110000
UID:submissions.pasc-conference.org_PASC25_sess150_posC107@linklings.com
SUMMARY:ACMP02 - Development of a Predictive Model for the Prognosis of Pa
 tients with Breast Cancer
DESCRIPTION:Patricia Honorato Moreira (Inteli - Institute of Technology an
 d Leadership)\n\nBreast cancer is one of the most prevalent malignancies a
 mong women, accounting for about a quarter of all new diagnoses worldwide.
  Treatment and prognosis vary according to histological subtype and stage 
 at diagnosis. Because of heterogeneity in treatment responses, biomarkers 
 that predict clinical outcomes are crucial. Recently, the neutrophil-to-ly
 mphocyte ratio (NLR) has emerged as a promising prognostic biomarker. This
  study analyzed retrospective data from patients diagnosed with breast can
 cer between 2008 and 2022, focusing on complete blood count (CBC) findings
  and their prognostic impact. Absolute values and ratios (neutrophils, mon
 ocytes, basophils, platelets, and lymphocytes) were derived from CBCs perf
 ormed before and throughout treatment. The results showed that NLR, monocy
 te/lymphocyte ratio (MLR), and platelet/lymphocyte ratio (PLR) serve as in
 dependent prognostic factors, while the basophil-to-lymphocyte ratio did n
 ot reach significance. These hematologic features, along with clinical dat
 a, were used to train supervised machine learning models classifying poor 
 prognosis as recurrence or death within 10 years, and good prognosis other
 wise.\n\nSession Chair: David Moxey (King's College London)\n\n
END:VEVENT
END:VCALENDAR