Pathology of neoadjuvant therapy Neoadjuvant therapy Types of - - PowerPoint PPT Presentation

pathology of neoadjuvant therapy neoadjuvant therapy
SMART_READER_LITE
LIVE PREVIEW

Pathology of neoadjuvant therapy Neoadjuvant therapy Types of - - PowerPoint PPT Presentation

Pathology of neoadjuvant therapy Neoadjuvant therapy Types of neoadjuvant therapy and their implications Short-term versus long-term Interval issues Staging after neoadjuvant therapy ypTNM issues Lymph node


slide-1
SLIDE 1

Pathology of neoadjuvant therapy

slide-2
SLIDE 2

Neoadjuvant therapy

  • Types of neoadjuvant therapy and their implications
  • Short-term versus long-term
  • Interval issues
  • Staging after neoadjuvant therapy
  • ypTNM issues
  • Lymph node issues
  • Complete pathological response
  • Tumor regression grading
slide-3
SLIDE 3

Indications for neoadjuvant therapy

  • Reduction of local recurrences
  • Downstaging
  • Facilitating sphincter saving procedures
slide-4
SLIDE 4

Effects of neoadjuvant therapy

  • Downstaging
  • Decreased frequency of positive margins
  • Tumor regression
slide-5
SLIDE 5

Short term radiotherapy (5 x 5 Gy)

CRM positivity by randomisation arm

TME trial MRC07 trial

slide-6
SLIDE 6

Long interval and 5x5 Gy

Rombouts et al, in preparation

slide-7
SLIDE 7

Interval and response

slide-8
SLIDE 8

Staging and downstaging

Downstaging is dependent on the time interval between radiotherapy and surgery Downstaging does not always leads to better prognosis TNM (or Dukes) has been developed for previously untreated patients

slide-9
SLIDE 9

TNM and neoadjuvant therapy

  • Prefix “y” or “yp” to indicate neoadjuvant therapy
  • To indicate that the gold standard for staging (pathology) might not

correspond to pre-treatment staging

  • To indicate possible regression/downstaging
  • To indicate that the relation between T and N will / might be different
slide-10
SLIDE 10

TNM and neoadjuvant therapy

  • ypTNM should consider

not only viable tumour cells but also signs of regressed tumour tissue such as scars, fibrotic areas, fibrotic nodules, granulation tissue, mucin lakes, etc.

  • TNM supplement 2001
  • ypTNM should consider
  • nly viable tumour cells

and not signs of regressed tumour tissue such as scars, fibrotic areas, fibrotic tissue, granulation tissue, mucin lakes, etc.

  • TNM supplement 2003
slide-11
SLIDE 11

TNM and neoadjuvant therapy

  • Prefix “y” or “yp” to indicate neoadjuvant therapy
  • To indicate that the gold standard for staging (pathology) might not

correspond to pre-treatment staging

  • To indicate possible regression/downstaging
  • To indicate that the relation between T and N will / might be different
slide-12
SLIDE 12

TNM and neoadjuvant therapy

  • Prefix “y” or “yp” to indicate neoadjuvant therapy
  • To indicate that the gold standard for staging (pathology) might not

correspond to pre-treatment staging

  • To indicate possible regression/downstaging
  • To indicate that the relation between T and N will / might be different
slide-13
SLIDE 13

pTNM is different from ypTNM !

  • Often reported as one group
  • Difficult to prove, since there is an
  • bvious selection bias
  • Surgery only group includes smaller

tumors and more comorbidity

  • No clinical trials available
  • Main comparison with 5x

Bosch et al, submitted

slide-14
SLIDE 14
slide-15
SLIDE 15

TNM and neoadjuvant therapy

  • Prefix “y” or “yp” to indicate neoadjuvant therapy
  • To indicate that the gold standard for staging (pathology) might not

correspond to pre-treatment staging

  • To indicate possible regression/downstaging
  • To indicate that the relation between T and N will / might be different
slide-16
SLIDE 16

Lymph nodes after neoadjuvant therapy

slide-17
SLIDE 17

TNM and neoadjuvant therapy

  • the relation between T and N will be different:
  • pT

T1 T2 ypT

From Nagtegaal and Marijnen, 2008

slide-18
SLIDE 18

TEM and neoadjuvant therapy

  • If the relation between T and N changed…
  • What happens to the traditional TEM parameters ?
  • Differentiation
  • Lymphatic and vascular invasion
slide-19
SLIDE 19

Lymph node risk in ypT1-2 tumors

  • N = 135 (multicenter study)

No difference between ypN0 and ypN+

  • Invasion depth
  • TRG
  • IMVI (was not present at all)
  • PNI (was not present at all)
  • Budding
  • Necrosis
  • Peritumoral infiltrate
  • Mucinous lakes
  • Calcifications
slide-20
SLIDE 20

Lymph node risk in ypT1-2 tumors

  • N = 135 (multicenter study)
  • Residual tumor area diameter
  • Histological grade
slide-21
SLIDE 21

Staging problems

Mucinous lakes Complete response Ex-positive lymph nodes Number of lymph nodes

slide-22
SLIDE 22

Inclusion in T stage?

slide-23
SLIDE 23

Mucinous lakes

slide-24
SLIDE 24

TNM and neoadjuvant therapy

  • Acellular mucin/mucinous lakes
  • Present in 27% of patients with a pCR
  • No prognostic significance
  • Justification to ignore it in staging ?
slide-25
SLIDE 25

Staging problems

Mucinous lakes Complete response Ex-positive lymph nodes Number of lymph nodes

slide-26
SLIDE 26

Complete response ?

slide-27
SLIDE 27

Complete response ?

How to define? Clinical complete reponse (cCR) results in a pathological complete response (pCR) in only 30% Is ypT0 sufficient or ypT0N0 ? Local excision versus resection

slide-28
SLIDE 28

TNM and neoadjuvant therapy

  • Pathological complete response: ypT0N0
  • But… 7% positive nodes when ypT0
  • Clinical complete reponse (cCR) results in a pathological complete

response (pCR) in only 30%

  • Standardisation and sufficient sampling is necessary
  • 5 blocks at site of tumour
  • If still no tumour block entire area
  • If still no tumour 3 levels of each block
  • If still no tumour – complete response
slide-29
SLIDE 29

Staging problems

Mucinous lakes Complete response Ex-positive lymph nodes Number of lymph nodes

slide-30
SLIDE 30

Ex-positive lymph nodes

Is ypN better than cN ? Small series describing ex-positive lymph nodes in a number of nodes (fibrosis, mucinous lakes) Indication of early metastatic disease? Good response indicated good prognosis? How good is clinical staging?

slide-31
SLIDE 31

Ex-positive lymph nodes

  • !
slide-32
SLIDE 32

Staging problems

Mucinous lakes Complete response Ex-positive lymph nodes Number of lymph nodes

slide-33
SLIDE 33

Number of lymph nodes

  • !"
  • #

!"

  • !$
  • !%"
  • &#

'(

  • !%"

) &# *

  • !%"
  • &
  • !%"
  • *(+,
  • !%"
  • ,(
  • !%"

#

  • .&'(
  • !%"

)

  • /

) !%" ) !

  • !%"
  • ,$
  • !%"
  • 01
  • !%"
  • #

!%"

  • /

# !%" )

  • 2
  • !%"
  • #

!%" # 13 # !%" ) &13 3

  • !%"
  • &#

13 # !%"

  • &#

&13 ""#$%&

slide-34
SLIDE 34

Number of lymph nodes

!&' (

slide-35
SLIDE 35

Number of lymph nodes

slide-36
SLIDE 36

Number of lymph nodes

  • !"
  • !%"
  • )*'

"+, !")( !+*)*

,-.&/0(1-2

""#$%&

slide-37
SLIDE 37

No lymph nodes

slide-38
SLIDE 38

Tumor regression grading

slide-39
SLIDE 39

Why do we want to know?

  • Prognostic relevance: better response is better outcome
  • Alternative endpoint for clinical trials
  • Potential for local excision / watchfull waiting
  • Indicative of downstaging
  • Risk of lymph node metastases
  • Predictive marker for adjuvant therapy
slide-40
SLIDE 40

But we cannot do it!

1. Different classification schemes 2. Different stage grouping methods 3. Poor interobserver variability 4. Also present in patients not treated with neoadjuvant therapy

slide-41
SLIDE 41

$& 3 4 5'6& 7

)7 ) 77 7 14748*

The origin of TRG systems

slide-42
SLIDE 42

Different classification schemes

slide-43
SLIDE 43

Different classification

No regression 5 4 1 No regression Dominant tumor mass with obvious fibrosis 4 3 2 < 25% regression Tumor cells easy to find 3 2 3 25% - 50% regression Tumor cells difficult to find 2 1 4 > 50% regression No residual tumor cells 1 5 Complete regression Mandard Rodel modification

  • f Dworak

AJCC

slide-44
SLIDE 44

Different stage grouping

name year n type Mace 2015 538 AJCC Losi 2006 112 Dworak Berho 2009 86 Dworak Kim 2010 420 Dworak Park 2010 108 Dworak Roy 2012 75 Dworak Huebner 2012 237 Dworak Lim 2012 581 Dworak Hermanek 2013 225 Dworak Santos 2014 139 Dworak Yoon 2015 261 Dworak McCoy 2015 205 Dworak Vecchio 2005 114 Mandard Suarez 2008 119 Mandard Lindebjerg 2008 135 Mandard Salmo 2011 75 Mandard Dhadda 2011 158 Mandard Min 2011 178 Mandard Santos 2013 139 Mandard Peng 2015 190 Mandard Beddy 2008 126

  • wn

Arredondo 2013 228

  • wn

1 2 3 4 5 1 2 3 4

slide-45
SLIDE 45

Interobserver variability is high ….

slide-46
SLIDE 46

Up to 32% regression without radiotherapy

slide-47
SLIDE 47

But there is a clear difference

slide-48
SLIDE 48

And a correlation with outcome

slide-49
SLIDE 49

The situation is more complex

  • a biological explanation -
slide-50
SLIDE 50

What actually happens:

slide-51
SLIDE 51
slide-52
SLIDE 52
  • In case of shrinkage:

less LNM

  • Presence of “TD” is

associated with poor prognosis

  • Dworak is not

predictive

slide-53
SLIDE 53

Tumor fragmentation as response mechanism

1. Remaining tumor cells are present in the deeper layers of the bowel 2. Downstaging and tumor regression are different 3. Posttreatment biopsies do not present an adequate picture 4. Patients with a near complete pCR can have a poor prognosis 5. Tumor deposits after neoadjuvant therapy are something else….

slide-54
SLIDE 54

Downstaging versus tumor regression

slide-55
SLIDE 55

Downstaging has more prognostic impact

slide-56
SLIDE 56

Value of posttreatment biopsies

slide-57
SLIDE 57

Value of posttreatment biopsies

In 42 patients: “false” negative submucosa !!!! 38% of this population

slide-58
SLIDE 58
  • 2/7 of benign lesions

(clinically and on initial biopsy) turned out to be cancer

slide-59
SLIDE 59

This explains the near-pCR prognosis

slide-60
SLIDE 60

This explains the near-pCR prognosis

slide-61
SLIDE 61

Tumor deposits after neoadjuvant therapy

factor No therapy Neoadjuvant setting Lymph node metastases RR 4.2 (95% CI 3.2 -5.6) RR 1.7 (95% CI 1.1-2.8) Lymphatic invasion RR 3.8 (95% CI 2.2-6.4) RR 1.5 (95% CI 0.6-3.9) Vascular invasion RR 2.6 (95% CI 1.8-3.7) RR 0.2 (95% CI 0.0-3.1) Perineural invasion RR 1.7 (95% CI 1.4 -2.2) RR 2.5 (95% CI 0.6 -10.8) The biological background is different! in preparation

slide-62
SLIDE 62

Conclusions

  • Many problems with TRG: need for standardisation and consensus
  • Digital pathology
  • Comparisons with MRI
  • More insights in biology of tumor response
  • Many studies suggest that TRG on itself is not independent prognostic
  • TD after neoadjuvant therapy are different