📷 TBT in an image:
Take a look at a (simplified) guide to management of metastatic castration resistant prostate cancer (mCRPC) and PARPi data in DDR mutated disease.
#mCRC & #EGFR tx:
✅Anti-EGFR useful in RAS/RAF WT; debate re: timing vs anti-VEGF
✅Pt centered discussion including SEs 🗝️
✅Emerging data: EGFR re-tx, using ctDNA to guide
@shafiarahman_ 's approach: pt eligible for EGFR-directed tx in #metastatic#CRC
🔹RAS/RAF WT- more important than side
🔹Bev or pan 1L? Trend toward pan, but is 🗝️actually that pt gets anti-EGFR in tx, 🚫necessarily 1L?
@shafiarahman_ gives us a preview of what might be coming in #EGFR directed tx in #mCRC
🔹Re-challenge based on ctDNA clearance of resistant clones; pts w resistance to EGFRi benefit later as the tumor evolves again
🔹New combos!
Take🏠msgs:
✅ Pembro ONLY approved adj IO in RCC
✅ 3 recent trials w IO failure: nivo/ipi, atezo & periop nivo
✅ Must balance risks vs benefits- shared decision-making 🗝️
🎥 TBT in a video
High risk #RCC, pembro= DFS advantage, but w cost- Grade 3 AEs= 32%. High risk #RCC defined by:
🔹Stage II w sarcomatoid features
🔹Stage III+
🔹Regional LN+/M1 disease
Take🏠msg:
✅ctDNA= both tx decision making & MRD in #NSCLC
✅Identify actionable muts in dz where a bx not possible
✅Pros (serum test) & cons ($, inability to multiplex with IHC- aka PD-L1 status)
🎥 TBT in a video
ctDNA + tissue-based NGS= highest sensitivity (do NOT miss actionable mutations in #NSCLC).
ctDNA can be used to:
🔹Identify actionable mutations
🔹Track disease status (MRD)
🔹Adapt targeted therapies based on 2dary muts
Also have to understand caveats!
1⃣ctDNA works best in higher volume dz.
2⃣Know when to suspect germline mut (variant allele fractions near 50%)
3⃣Clonal hematopoiesis of indeterminate potential muts that could mislead!
✅CDK4/6i +endocrine tx= 1L HR+ mBC
✅Ribo =⬆️OS; select based on shared decision
✅After prog on CDK4/6i, eval muts (ESR1, PIK3CA)➡️SERD vs PIK3CAi
✅Benefit in adj- monarchE
IO has fundamentally changed 🫁 cancer tx.
Choosing the right strategy in squamous cell lung ca largely based on PD-L1 status; we’re hoping for more, & better, biomarkers in the future.
Check out this algo to help select IO vs chemoIO strat in #squamouscell#lcsm lung cancer 1L setting.
No head-to-head 👊data to define clear winner, but pembro, cemiplimab, and ipi/nivo approved based on OS benefit.