Top Tweets for #xcomment
#XComment š¬
Rethinking BSO Timing for BRCA Carriers in the Era of PARP Inhibitors
Bilateral salpingo-oophorectomy (BSO) remains a cornerstone of cancer prevention for BRCA1/2 mutation carriers. Extensive literature shows that BSO significantly reduces the risk of ovarian and fallopian tube cancers, as well as overall mortality, making it a critical strategy for this high-risk population. But with the emergence of PARP inhibitors like olaparibānow approved as adjuvant therapy for early-stage, high-risk BRCA-mutated breast cancerācould we reconsider the optimal timing of this surgery?
The OlympiA trial, with a median follow-up of 6.1 years, showed that one year of adjuvant olaparib improved invasive disease-free survival (HR 0.65) and overall survival (HR 0.72), and reduced the incidence of second primary cancers: 3 ovarian cancers (vs. 9 with placebo) and 1 fallopian tube cancer (vs. 4). Although not administered for prophylaxis, these findings suggest that adjuvant olaparib may confer ancillary risk-reducing effects, potentially reshaping surgical decision-making for some patients.
For premenopausal womenāespecially those prioritizing fertility or concerned about the impact of early menopause on quality of lifeācould such systemic therapies support a safe deferral of BSO?
Current guidelines recommend BSO between ages 35ā40 for BRCA1 carriers and 40ā45 for BRCA2 carriers, based on legacy risk data that predate modern therapies. While surveillance with transvaginal ultrasound and CA-125 is standard for those delaying BSO, these tools might also serve patients receiving adjuvant PARP inhibitors, offering a framework for structured monitoring during a period of intentional deferral. The possibility of PARP inhibitors serving as a ābridgeā strategyāproviding temporary protection while aligning surgery with life plansāremains underexplored in clinical guidance.
Given BSOās irreversible effects on fertility, hormonal health, and overall well-being, a more personalized approach is essential. Integrating systemic treatments like adjuvant PARP inhibitors into the timing discussion could empower patients and clinicians to make decisions that reflect both cancer risk and individual goals.
Could PARP inhibitors help redefine cancer risk management for BRCA carriers? Letās discuss what personalized care might look like in this evolving landscapeš©ŗš§¬
Yakup Ergun, MD
#BRCA #CancerPrevention #bcsm #PersonalizedMedicine #Oncology

#XComment on DYNAMIC trial
ctDNA-Based Approach in T4 Tumors
When it comes to T4 stage II colon cancer tumors, caution is essential before adopting a ctDNA-based approach. While the DYNAMIC trial suggests potential benefits, several critical limitations raise doubts about its reliability specifically for T4 patients. Below, Iāll break down these concerns in a straightforward way to highlight why we need to tread carefully.
Small Group Size and Unreliable Stats:
The study only looked at 64 T4 patientsā44 in the ctDNA-guided group and 20 in the standard groupāout of 441 total participants. Survival numbers look promising (90.5% vs. 80% for OS; 81.2% vs. 70% for RFS), but the stats donāt hold up strongly. The wide ranges (e.g., 0.53-8.79 for survival) and lack of clear significance (P-values of 0.27 and 0.28) mean the small sample size raises the risk of a type II error (failing to detect a true difference). This limited statistical power makes the findings uncertain.
Unknown MSI Details Messing with Treatment:
We know some T4 patients have MSI, with about 12-13 of the 64 likely having this trait (based on 19.5% of the whole study). For those with pMMR, survival looks better with ctDNA guidance (87.1% vs. 77.8%), but weāre in the dark about the MSI-high/dMMR group. The problem? Most standard T4 patients got 5FU alone (12 of 14), which doesnāt work well for MSI-high tumors. Meanwhile, ctDNA-guided patients got more oxaliplatin (7 of 12), which might help, but we donāt know how MSI-high T4 fares specifically. This gap makes it hard to trust the approach for all T4 cases.
Mixed Treatments Clouding the Picture:
In the ctDNA-guided T4 group, only 12 of 44 got chemoā7 with oxaliplatin, 5 with 5FU alone. In the standard group, 14 of 20 got chemo, but 12 got just 5FU, and only 2 got oxaliplatin. This mix-up makes it tricky to tell if better outcomes come from ctDNA or just using stronger drugs like oxaliplatin (which clears ctDNA better: 92.3% vs. 78.6%). Without sorting this out, we canāt pin the success on ctDNA alone.
Missing Recurrences in āSafeā Patients:
For T4 patients testing ctDNA-negative (supposedly low risk), the recurrence rate is worryingā4 out of 5 recurrences were local, and their RFS (81.3%) lags behind T3ās (91.7%). The test only catches about half the residual disease, so in aggressive T4 tumors, skipping chemo based on a negative result could leave cancer lurking. This risk of undertreatment is a big red flag.
Conclusion: For T4 tumors, these issuesātoo few patients, unclear MSI effects, jumbled treatments, and missed recurrencesāmean a ctDNA-based approach isnāt ready to fully trust yet. It shows promise, but we need more data to be sure itās safe and effective for this high-risk group.
https://t.co/5wXyaTEl9I

Last Seen Hashtags on Sotwe
ė„ģøėģ¬ģ
Seen from Korea
ąøąø§ąø¢ąøąø£ąø±ą¹ąø
Seen from Thailand
Ų³Ų§ŁŲØ
Seen from Egypt
Unexpected
Seen from Malaysia
BKFC72
Seen from United States
brosis
Seen from United Kingdom
minichat()()()()************* +filter:native_video
Seen from Australia
kayserieskort
Seen from Turkey
ipcam
Seen from Switzerland
RashRelief
Seen from United States
Trends for you
Most Popular Users

Elon Musk 
@elonmusk
241.5M followers

Barack Obama 
@barackobama
118.9M followers

Cristiano Ronaldo 
@cristiano
114.6M followers

Donald J. Trump 
@realdonaldtrump
111.8M followers

Narendra Modi 
@narendramodi
107.1M followers

Rihanna 
@rihanna
98.7M followers

NASA 
@nasa
92.3M followers

Justin Bieber 
@justinbieber
91.8M followers

KATY PERRY 
@katyperry
90.1M followers

Taylor Swift 
@taylorswift13
84M followers

Lady Gaga 
@ladygaga
75.5M followers

Virat Kohli 
@imvkohli
73.5M followers

Kim Kardashian 
@kimkardashian
70.9M followers

YouTube 
@youtube
68.8M followers

Neymar Jr 
@neymarjr
66.6M followers

Bill Gates 
@billgates
65.3M followers

Selena Gomez 
@selenagomez
63.1M followers

The Ellen Show
@theellenshow
62.2M followers

CNN 
@cnn
61.7M followers

X 
@x
60.7M followers


