Daniel Catenacci Profile picture
Sep 24, 2020 35 tweets 31 min read Twitter logo Read on Twitter
Ok...Honeymoon is over & now time to dissect the exciting new data presented @ #ESMO2020 for #GEC #KN590 #CM649 #ATTRCN4 #CM577
1st, thank you to all the pts who participated!
& 2nd, congrats to all the investigators involved!
It's fantastic to have +ve studies! Lets dive deep:
I think the facts are accurate - please correct if not. (seeking the truth here)
My opinions are my opinions.
~15 min read (it's complicated)
No CME offered unfortunately 😒😉
IO monotx effective in a subgroup of GEC pts in 1L+:
1. MSI-H
2. High PDL1 (cut-off at least CPS 10 22C3)
3. low tumor burden
4. PS0
5. Asian > Western pts
6. SCC > AC
7. GC > EGJ
Outside of above, most pts are better-served w chemo based on crossing #yinyang curves
Some studies that provided this background:
CM32 KN61 KN62
KN28 KN180 KN181
ATTRCN3, ONO-4538-07
MSI-H (bunch of KN study subsets pooled)

These led to
1) nivo 3L+ approval #GEA (Asia)
2) pembro 3L+ approval PDL1 CPS>1 22C3 #GEA (US)
3) pembro MSI-H 2L+ any solid tumor #GEC
4) pembro 2L+ CPS>10 22C3 #EsoSCC
5) nivo 2L+ approval #EsoSCC
These are the approvals as of 'the glorious day' (TGD) 9/21/20 @ #ESMO2020
For the KN181 study, although the ITT, the all SCC (including <CPS10) & the all CPS>10 (including AC) demonstrated improved OS when lumped with SCC>10, Forrest plot clearly shows lack of benefit for AC, and PDL1<1. FDA approved only #SCC CPS >10. See #Cresendo plots later@ #KN62.
ATTRCN3 #SCC 2L study - akin to KN181
1) mini #yinyang curve
2) there were 18 non-Asian pts. Check out KN181 Forrest plot 👆 re Asian vs ex-Asian
3) TPS 28-8 PDL1 'did not predict outcome' but trend to more benefit with higher level:
Specifically for 1L, no approvals to date. The only phase 3 1L study before TGD: KN062 N=750 1:1:1. Pertinents:
1. 3-arm R placbo contrlld study CPS >1 22C3 only
open labl pembro monotx
& cis/FP+pembro/placbo
2. monotx arm - #yinyang even CPS>10 N~100 per arm #donoharm plz!
3. Chemo arms: -ve for superiority (HR0.85, p=0.05 #alphasplittinggalore)
4. Chemo arms: #Crescendo🎼curves suggesting magnitude of benefit by⬆️ing gradient (higher PDL1 level?)
5. This was the 1st/only Phase3 data of chemo+IO in 1L #GEC before TGD.
Remember only CPS>1 22C3 pts!
Last background- Biomarker assays to date:
pembro 22C3 CPS>1 ~60%, >10 ~15-25%
nivo 28-8 TPS>1 ~15-30%
Avelu 73-10 TPS>1 ~10-26.8%

Notice, nivo not previously been evaluated by CPS
Diff diagnostic Abs=diff +ve rate =diff predictive performance

Which will you do?
Enter TGD:
Let's start with #KN590 #EsoSCCAC
N=749 pts 1:1 Cis/FP +pembro/placebo
CPS>10 ~50% & Asian 50%, SCC 73% (!) of pts
Results great!
But VERY similar to KN181 (👆). More #crescendo plots.
Q: The CPS >10 curve is shown, what's the CPS <10 look like by SCC and AC? 🤔
So #KN590, even though the ITT & all #SCC appear to benefit, those #crescendo plots get less pronounced, due to many pts added that don't benefit, compared to the #SCC CPS >10 & all CPS >10 plots.
HRs of 0.57 & 0.62 went to 0.72 & 0.73 - what must the isolated HR AC/CPS<10 be?
Q: What is the % of Adeno in #KN590 that are CPS>10? This is important when comparing to other studies, and is not reported in the Forrest plot
Q: Will the FDA see past this #KN590 illusion, as it did with KN181, or no? 🤔
#KN590 My Thoughts:
Practice change for 1L CPS >10 (for sure #EsoSCC, but probably also #EsoAC)
I need to see #EsoSCC CPS <10 & <1 isolated to really comment if it is yay or nay. Hopefully yay, but🤷‍♂️
P.S. EsoAC = GEJAC = Cardia in my book.
P.P.S. Can we stop doing studies lumping SCC&AC so tweetorials don't have to be so long to explain?
P.P.P.S. For now ok to lump GC&EGJAC #GEA
Next up, #CM649
N=originally 1266 1:1 (633 each) all comers (Primary endpt >1% TPS (28-8 Ab))
FOLFOX/CapeOx nivo/ipi
**Nivo/Ipi terminated early - no public info o/w 🤔
Major Amendments @ dif times: Added 3rd arm FOLFOX-nivo, CPS>5, & ⬆️'d size of chemo arms: to ~1600 (~800 each)
Amending trial structure & primary endpoints mid-trial - yikes! FOLFOX-nivo arm was not in the original design!

**Nivo/Ipi #CM649 will likely be a #YinYang plot in all-comers, the original endpoint of TPS >1% & likely even the CPS >5. Will be interesting to see this soon plz.
Biomarker contrasts of chemo arms:
CM649 N=1581 any PDL1 28-8 Ab
CPS>1 n=1296 (82%)
CPS>5 n= 955 (60%)

KN062 N=500 only CPS>1 22C3Ab
CPS>1 N=500 Usually ~60% of all pts tested are +ve
CPS>10 n=200 (~20%) (~40% of the CPS>1 pts)
CPS>5 (~35%ish)

Summary: 28-8 calls >pts +ve.
So...nice result for CPS >5 28-8, the amended primary endpt. Why different than Chemo comparison of #KN062 for both CPS>1 & CPS>10 22C3?? (and subject of the pre-test poll) See later 👇
1. CPS>1? Let's add ~150 pts to the nivo arm (+ the 473 CPS>5)
2. All comers? Let's add ~150pts more (+ the 150pts CPS1-4 and 473 CPS>5)
dampened #crescendo plots
What do the CPS <1 and CPS <5 and CPS 1-4 look like? 🤔& Forest plot did not include these subgroups - why not?🤔
PS @pashtoonkasi MSI-H incidence exactly where it should be for #CM649: 3-4% in the metatastic setting. #KN062 is inflated because >90% of MSI-H tumors are CPS>1, while MSS are only ~50-60% CPS >1, so nearly double the expected rate there.
👀 the MSI-H HR with nivo? 0.33! #CM649
Sidestep to #ATTRCN04
N=724 1:1 All Asian, All comers, any PDL1
SOX/CapeOx +nivo/placebo
PFS endpt met, BUT OS endpt not met (mos ~17m! HR0.9)

Why neg compared to #CM649? More cross-over, more later line therapies in Asia? Maybe But also: 👇
To the pre-test:
Q: What are the differences b/w #KN062 #CM649 & #ATTRCN4 that led to only #CM649 positive for OS?
1. Oxaliplatin #CM649 & #ATTRCN4 vs Cisplatin #KN062?
2. Double/Triple sample size to have more power?
3. Open label vs Blinded
4. Amended primary endpoint mid-trial
1. Oxali vs Cis. Least likely of all.
Oxali better synergy? but Cis was +ve in #KN590 (and other tumor types+IO). ATTRCN4 had oxali but neg OS.
2/4.⬆️⬆️er sample size & CPS>5 more👊?Yep
3. 🐘in the Zoom: CM649 the only open label trial. Do we need to Rehash need for placebos?🤷‍♂️
Q: What will the FDA do with the #CM649 study? Approve only by the amended primary endpt CPS>5? Or also >1, or all comers?🤔
#CM646 My Thoughts:
Obvious approval of CPS>5. (MSI-H included in here)
I will not treat my pts with this until I see the isolated results CPS<1& CPS1-4
R 2:1 nivo vs placebo in high risk ypT+N+ #EsoSCCAC
70% AC, 30% SCC
Primary endpt DFS
Fantastic result - I agree w @DrRonanKelly, 10% absolute DFS here will likely translate to OS benefit.
The sobering part: ~40% recur by 1yr, ~50% by 2yr, ~60% by 3yr. Plateau!(?)
However, bit of a #tuningfork curve here suggesting some patients not benefitting. Who are they?
As expected Forest plot shows the benefit from SCC >> AC.
Q: What do the DFS curves look like for AC? 🤔(Probably a more pronounced tuning fork)
Q: What do the DFS curves look like for AC CPS <1 vs 1-4 vs >5? 🤔 (maybe even more pronounced tuning forks for CPS<5)
Let's see soon?
I will leave the Triplet chemo vs CRT for another day, but #KN585 periop doublet chemo +pembro/placebo results will be interesting here for the Adeno comparison with #CM577 adeno component
So will the FDA approve adjuvant nivo by these DFS data alone (the primary endpoint), or require OS as well (secondary endpoint)?
The results are exciting & it's great to have better outcomes for pts w #GEC
I make the points above b/c it is our responsibility to identify who is & isn't deriving benefit from IO, so we get it to those who do, but with intentions to figure out why it isn't working in others.
"Targeted therapies for targeted populations."
Immune checkpoint inhibitors are targeted therapies, and they are not immune to this concept.

And Fantastic discussions by @LizzySmyth1 and @AndresC27622123
As this is my first tweetorial, hopefully I make ‘the master’@VPrasadMDMPH proud! #UofCAlumni

• • •

Missing some Tweet in this thread? You can try to force a refresh

Keep Current with Daniel Catenacci

Daniel Catenacci Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!


Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @DocCatenacci

Feb 10, 2021
✅Only ~40-60% of GEA pts receive 2L Rx in the USA, & the treatment landscape is fragmented.
📌 pubmed.ncbi.nlm.nih.gov/25792290/
@TumorBoardTues #TumorBoardTuesday Image
✅The Phase III 2L RAINBOW study of paclitaxel-Ram vs Paclitaxel had improved OS, serving as a benchmark SOC
📌thelancet.com/journals/lanon… ImageImage
✅The Phase III 2L KN061 study showed detriment for pts with PDL1 CPS 0 treated w pembro vs paclitaxel (no Ram!), and terminated this group early.
(green = pembro, red = paclitaxel)
📌 thelancet.com/journals/lance…
📌 thelancet.com/journals/lance… Image
Read 17 tweets
Feb 10, 2021
1/3 CASE: 35 y/o F w stage 4 (diffuse supraclav/RP M1 LNs) GEJ AC, HER2 IHC3+, PD on 1L FOLFOX-trastuzumab after ~12m w new lung&peritoneal dz. Repeat EGD w bx: HER2 IHC3+/CPS 0. ctDNA profile NO HER2 amp (TP53 mt MAF 9.3%).
How would u treat this pt now?
2/3 CASE:35 y/o F w stage 4 (diffuse supraclav/RP M1 LNs) GEJ AC, HER2 IHC3+, PD on 1L FOLFOX-trastuzumab after ~12m w new lung&peritoneal dz. Repeat EGD w bx: HER2 IHC3+/CPS 0. ctDNA PROFILE w/o HER2 amp (TP53 mt MAF 9.3%). PS0
How would u treat this pt now?
3/3: Here’s a f/u related POLL:
Currently my preferred line to use trastuzumab-deruxtecan is:
Read 7 tweets
Aug 19, 2020
It will be important to look at the data closely, particularly by histology. Merck’s KEYTRUDA® (pembrolizumab) in Combination W Chemo Significantly Improved OS and PFS Compared W Chemo in 1L Metastatic Esophageal Cancer | Business Wire businesswire.com/news/home/2020…
We must recall that a ~500 pt study of the exact same regimen KN062 was recently statistically negative (HR0.85 p=0.046) in CPS>0 in adeno. Now the same regimen in KN590 N=749, in all-comers irrespective of PDL1 but including SCC, is +ve. What could be driving this difference?🤔
Let’s see the data: the make-up by histology (& PDL1!) & the benefit magnitude diffs (as might be expected) b/w them before we jump to conclusions on both CM577 and KN590, and also CM649. Let’s not make press releases drive the science! #esmo2020 is going to be a doozy for #GEA!!
Read 6 tweets
Jul 10, 2020
So great that HER2+ GEA has many promising new tx’s! The next yrs will be important for us to study how to optimally sequence of all of them to best treat our pts!!
#margetuximab #tras #tucatinib #trasderux #zw25 etc...

#retifanlimab #pembro #nivo etc...

thelancet.com/journals/lanon… Image
In addition to the main text, be sure to check out pages 4-11 of the supplement. Lots of good stuff buried there. Most important to me are the biomarker subgroups analyses: “Targeted therapies for targeted populations!” Some long-term survival noted in the double-positive group. Image
Important observations to me:
1. All observed responses were IHC 3+ at 1L dx.
2. 79% of responses were PDL1 CPS>1 at 1L dx
3. 88% of responses were ctDNA HER2+ at time of enrollment prior to 2L tx on study.
4. ⬆️est response was amongst those with all 3 of those biomarkers+. ImageImageImage
Read 6 tweets
Jul 1, 2020
🎶you may say I’m a dreamer...🎶 Overcoming Heterogeneity to Develop Targeted Therapies for Gastroesophageal Cancer prac.co/l/ybw6j8e6 via @practiceupdate @LizzySmyth1 PANGEA2 planning with @KlempnerSam !!
Read 5 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!


0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy


3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!