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ETHNIC DISPARITIES IN WILMS 
TUMOR 
Dr F. K. Abdallah
WWiillmmss TTuummoorr ((WWTT)) 
MMoosstt CCoommmmoonn PPeeddiiaattrriicc RReennaall MMaalliiggnnaannccyy 
 ~~ 550000 ccaasseess ppeerr yyeeaarr 
UUSSAA 
 11//1100,,000000 cchhiillddrreenn 
<< 1155 yyeeaarrss 
 >>9900%% SSuurrvviivvaall aatt 55 
yyeeaarrss iinn ddeevveellooppeedd 
nnaattiioonnss 
Davidoff 2009
65% 
56% 5Mo6re% 
Children Relapse! 
9%
Racial Variation in Incidence of Wilms Tumor: 
Relationship to Congenital Anomalies 
Greater Delaware Valley Pediatric Tumor Registry: 1970-79 
Kramer, Meadows, Jarrett. Med Pediatr Onc 12:401-5, 1984 
40 black 
* per million children < 14 years
International variations 
in the incidence of 
childhood renal tumors 
International 
Agency for 
Research on 
Cancer 
Stiller, Parkin: 
Br. J. Cancer (1990) 62:1026-1030
Presenting features 
In Kenyan Wilms tumor 
Patients 
quite ill 
when compared 
with Wilms patients 
in developed countries 
Kyambi et al. 
East African Medical Journal, June 
1981
Photo courtesy of Dr. Mark Newton, Kijabe Mission Hospital, Kenya
“Wilms tumor appears to vary more 
as a function of ETHNIC GROUP 
across different countries than it 
does with country for a given ethnic 
group.” 
Breslow N et al. Epidemiology of Wilms Tumor. Med Pediatr Onc 21:172-181 
(1993)
What’s the biological basis 
for these observed differences 
in Wilms tumor 
incidence and outcomes 
between ethnic groups?
BBuutt ccoouulldd ddiiffffeerreenntt bbiioollooggyy 
But ccoouulldd ddiiffffeerreenntt bbiioollooggyy 
aallssoo ccoonnttrriibbuuttee ttoo 
ppoooorr oouuttccoommeess?? 
aallssoo ccoonnttrriibbuuttee ttoo 
ppoooorr oouuttccoommeess??
To identify markers that classify ethnicity 
and correlate with: 
stage of 
disease aggressive 
cancer 
progression 
histology 
survival 
ethnic specific therapies 
disease 
relapse
Identify ethnic-specific therapeutic targets 
MODIFY existing 
therapies according to 
ethnicity 
NOVEL 
ethnic-specific 
therapies 
Photos courtesy of Dr. Russ White, Tenwek Mission Hospital, Kenya
Kenyan Wilms Tumor Study 
To assign a molecular signature according to ethnicity for Wilms tumors: 
a comparison between North American and Kenyan tissues
Quality assurance of Kenyan Wilms tissues 
proper fixation poor fixation or treatment effect?
Preliminary analysis of Kenyan Wilms tissues 
70 tissue blocks 
from 21 patients 
(67 blocks required re-embedding) 
6 patient blocks show 
treatment effect (ie, necrosis) 
15 patient specimens 
evaluable 
1. MALDI-TOF imaging mass spec 
2. Immunohistochemistry 
3. Gene sequencing
High-throughput proteomic analysis of formalin-fixed paraffin-embedded 
tissue microarrays using MALDI imaging mass spectrometry 
histology- 
Matrix specific 
Assisted 
Laser 
Desorption 
Ionization 
Time 
Of 
Flight 
on-tissue 
tryptic 
digestion 
Groseclose et al. Proteomics 2008
Molecular analysis of ethnic variations in Wilms tumor 
(Vanderbilt patients) 
primary tumor tissue
mucinous stroma 
triphasic 
mixoid stroma 
BWT1-21-7 BWT1-21-3
CWT1-3466-1C CWT1-3466-1K 
skeletal muscle stroma
Clustering or “classification” according to race group: 
~npro data filesblastema857 2A blastema 
~npro data filesblastema857 1B blastema 
~ro data filesblastema19527 2B blastema 
~ro data filesblastema19527 2A blastema 
~pro data filesblastema1630 1D blastema 
~pro data filesblastema1630 1C blastema 
~ro data filesblastema11364 1D blastema 
~pro data filesblastema3466 1K blastema 
~pro data filesblastema3521 1F blastema 
~pro data filesblastema3521 1B blastema 
~pro data filesblastema3466 1C blastema 
~linpro data filesblastema21-7 blastema 
~linpro data filesblastema21-3 blastema 
~pro data filesblastema2871 1B blastema 
~pro data filesblastema2871 1C blastema 
~pro data filesblastema4839 1D blastema 
~pro data filesblastema4839 1B blastema 
18 
19 
21 
20 
22 
23 
24 
25 
26 
27 
28 
29 
30 
31 
32 
35 30 25 20 15 10 5 0 
33 
B B B 
B B B 
B 
W 
B 
B 
W 
B 
B 
W W 
W 
W 
blastema only 
Axt, Murphy: J Surg Res, 2011
PPrriinncciippaall ccoommppoonneenntt aannaallyyssiiss ccllaassssiiffiiccaattiioonn ffrroomm 
Intensity (U) 
Intensity (U) 
644 Da 
843 Da 
BBllaacckk WWTT 
WWhhiittee WWTT 
bbllaasstteemmaa 
rreedd == bbllaacckk ppaattiieennttss : ggrreeeenn == wwhhiittee ppaattiieennttss 
Axt, Murphy: J Surg Res, 2011
Peaks that classify race with greater than 85% accuracy: 
blastema 
rreedd == bbllaacckk ppaattiieennttss 
ggrreeeenn == wwhhiittee ppaattiieennttss
Clustering or “classification” according to ethnicity: 
26 
30 25 20 15 10 5 
~clinpro data filesstroma4839 1D stroma 
~clinpro data filesstroma2871 1B stroma 
~clinpro data filesstroma2871 1C stroma 
~clinpro data filesstroma857 2A stroma 
~clinpro data filesstroma4839 1B stroma 
~clinpro data filesstroma904 1E stroma 
~clinpro data filesstroma3466 1C stroma 
~clinpro data filesstroma904 1F stroma 
~orclinpro data filesstroma21-7 stroma 
~orclinpro data filesstroma21-3 stroma 
~clinpro data filesstroma3521 1F stroma 
~ta filesstroma3521 1B stroma0_R01_085 
~linpro data filesstroma11364 1D stroma 
~clinpro data filesstroma1630 1D stroma 
~clinpro data filesstroma1630 1C stroma 
16 
17 
18 
19 
20 
21 
22 
23 
24 
25 
27 
28 
29 
W 
W 
W 
B 
WWW 
W 
BBBBBBB 
stroma only 
Axt, Murphy: J Surg Res, 2011
Principal component analysis classification from 
944 Da 
2191 Da 
Intensity (U) 
BBllaacckk WWTT 
Intensity (U) 
WWhhiittee WWTT 
stroma 
bblluuee == bbllaacckk : oorraannggee == wwhhiittee 
Axt, Murphy: J Surg Res, 2011
Peaks that classify with greater than 85% accuracy: stroma 
bblluuee == bbllaacckk 
oorraannggee == 
wwhhiittee
Murphy, Axt: 
Int J Canc, 2012 
Favorable 
Histology 
Favorable 
Histology, 
Nuclear Unrest 
Unfavorable 
Histology 
Favorable 
Histology, 
p53 
Unfavorable 
Histology, 
p53
Murphy, Axt: Int J Canc, 2012
Favorable 
Histology 
Murphy, Axt: 
Int J Canc, 2012 
β-Catenin 
activation: 
nuclear 
detection 
Favorable 
Histology 
Unfavorable 
Histology
Murphy, Axt: Int J Canc, 2012
Preliminary analysis of Kenyan Wilms tissues
Murphy, Axt: 
Int J Canc, 2012
CONCLUSION 
• WT specimens arising among different race 
• groups show unique molecular fingerprints 
• that could explain disparate incidences and 
• biological behavior and that could reveal 
• novel therapeutic targets.
ACKNOWLEDMENTS 
• Axt, Jason; Axt, Meridith; Githanga, Jessie; 
Hansen, Erik; Lessan, Joel; Li, Ming; Musimbi, 
Joyce; Mwachiro, Michael; Newton, Mark; 
Ndung’u, James; Njuguna, Festis; Nzioka, 
Ancent, ; Oruko, Oliver; Patel, Kirtika; Tenge, 
Robert; Ukoli, Flora; White, Russel; O’Neill, 
James; Lovvorn, Harold
AAcckknnoowwlleeddggeemmeennttss 
• NNaattiioonnaall CCaanncceerr IInnssttiittuuttee ggrraanntt:: 11RR2211CA155946-01 
• VVaannddeerrbbiilltt CCTTSSAA ggrraanntt:: UULL11 RRRR002244997755 
• NNaattiioonnaall CCaanncceerr IInnssttiittuuttee ggrraanntt:: 55TT3322CCAA110066118833-- 
0066AA11 
• NNaattiioonnaall CCaanncceerr IInnssttiittuuttee ggrraanntt:: 44RR0000CCAA113355669955--0033 
• MMaassss ssppeeccttrroommeettrryy:: 
– VVaannddeerrbbiilltt IInnggrraamm CCaanncceerr CCeenntteerr CCoorree SSuuppppoorrtt GGrraanntt 
PP3300--CCAA6688448855 
– DDeeppaarrttmmeenntt ooff DDeeffeennssee GGrraanntt DDOODD WW8811XXWWHH--0055--11-- 00117799
THANK YOU!!!

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Ethnic disparities in wilms tumor by fatma abdalla

  • 1. ETHNIC DISPARITIES IN WILMS TUMOR Dr F. K. Abdallah
  • 2. WWiillmmss TTuummoorr ((WWTT)) MMoosstt CCoommmmoonn PPeeddiiaattrriicc RReennaall MMaalliiggnnaannccyy  ~~ 550000 ccaasseess ppeerr yyeeaarr UUSSAA  11//1100,,000000 cchhiillddrreenn << 1155 yyeeaarrss  >>9900%% SSuurrvviivvaall aatt 55 yyeeaarrss iinn ddeevveellooppeedd nnaattiioonnss Davidoff 2009
  • 3. 65% 56% 5Mo6re% Children Relapse! 9%
  • 4. Racial Variation in Incidence of Wilms Tumor: Relationship to Congenital Anomalies Greater Delaware Valley Pediatric Tumor Registry: 1970-79 Kramer, Meadows, Jarrett. Med Pediatr Onc 12:401-5, 1984 40 black * per million children < 14 years
  • 5. International variations in the incidence of childhood renal tumors International Agency for Research on Cancer Stiller, Parkin: Br. J. Cancer (1990) 62:1026-1030
  • 6. Presenting features In Kenyan Wilms tumor Patients quite ill when compared with Wilms patients in developed countries Kyambi et al. East African Medical Journal, June 1981
  • 7. Photo courtesy of Dr. Mark Newton, Kijabe Mission Hospital, Kenya
  • 8.
  • 9. “Wilms tumor appears to vary more as a function of ETHNIC GROUP across different countries than it does with country for a given ethnic group.” Breslow N et al. Epidemiology of Wilms Tumor. Med Pediatr Onc 21:172-181 (1993)
  • 10. What’s the biological basis for these observed differences in Wilms tumor incidence and outcomes between ethnic groups?
  • 11. BBuutt ccoouulldd ddiiffffeerreenntt bbiioollooggyy But ccoouulldd ddiiffffeerreenntt bbiioollooggyy aallssoo ccoonnttrriibbuuttee ttoo ppoooorr oouuttccoommeess?? aallssoo ccoonnttrriibbuuttee ttoo ppoooorr oouuttccoommeess??
  • 12. To identify markers that classify ethnicity and correlate with: stage of disease aggressive cancer progression histology survival ethnic specific therapies disease relapse
  • 13. Identify ethnic-specific therapeutic targets MODIFY existing therapies according to ethnicity NOVEL ethnic-specific therapies Photos courtesy of Dr. Russ White, Tenwek Mission Hospital, Kenya
  • 14. Kenyan Wilms Tumor Study To assign a molecular signature according to ethnicity for Wilms tumors: a comparison between North American and Kenyan tissues
  • 15. Quality assurance of Kenyan Wilms tissues proper fixation poor fixation or treatment effect?
  • 16. Preliminary analysis of Kenyan Wilms tissues 70 tissue blocks from 21 patients (67 blocks required re-embedding) 6 patient blocks show treatment effect (ie, necrosis) 15 patient specimens evaluable 1. MALDI-TOF imaging mass spec 2. Immunohistochemistry 3. Gene sequencing
  • 17. High-throughput proteomic analysis of formalin-fixed paraffin-embedded tissue microarrays using MALDI imaging mass spectrometry histology- Matrix specific Assisted Laser Desorption Ionization Time Of Flight on-tissue tryptic digestion Groseclose et al. Proteomics 2008
  • 18. Molecular analysis of ethnic variations in Wilms tumor (Vanderbilt patients) primary tumor tissue
  • 19. mucinous stroma triphasic mixoid stroma BWT1-21-7 BWT1-21-3
  • 21. Clustering or “classification” according to race group: ~npro data filesblastema857 2A blastema ~npro data filesblastema857 1B blastema ~ro data filesblastema19527 2B blastema ~ro data filesblastema19527 2A blastema ~pro data filesblastema1630 1D blastema ~pro data filesblastema1630 1C blastema ~ro data filesblastema11364 1D blastema ~pro data filesblastema3466 1K blastema ~pro data filesblastema3521 1F blastema ~pro data filesblastema3521 1B blastema ~pro data filesblastema3466 1C blastema ~linpro data filesblastema21-7 blastema ~linpro data filesblastema21-3 blastema ~pro data filesblastema2871 1B blastema ~pro data filesblastema2871 1C blastema ~pro data filesblastema4839 1D blastema ~pro data filesblastema4839 1B blastema 18 19 21 20 22 23 24 25 26 27 28 29 30 31 32 35 30 25 20 15 10 5 0 33 B B B B B B B W B B W B B W W W W blastema only Axt, Murphy: J Surg Res, 2011
  • 22. PPrriinncciippaall ccoommppoonneenntt aannaallyyssiiss ccllaassssiiffiiccaattiioonn ffrroomm Intensity (U) Intensity (U) 644 Da 843 Da BBllaacckk WWTT WWhhiittee WWTT bbllaasstteemmaa rreedd == bbllaacckk ppaattiieennttss : ggrreeeenn == wwhhiittee ppaattiieennttss Axt, Murphy: J Surg Res, 2011
  • 23. Peaks that classify race with greater than 85% accuracy: blastema rreedd == bbllaacckk ppaattiieennttss ggrreeeenn == wwhhiittee ppaattiieennttss
  • 24. Clustering or “classification” according to ethnicity: 26 30 25 20 15 10 5 ~clinpro data filesstroma4839 1D stroma ~clinpro data filesstroma2871 1B stroma ~clinpro data filesstroma2871 1C stroma ~clinpro data filesstroma857 2A stroma ~clinpro data filesstroma4839 1B stroma ~clinpro data filesstroma904 1E stroma ~clinpro data filesstroma3466 1C stroma ~clinpro data filesstroma904 1F stroma ~orclinpro data filesstroma21-7 stroma ~orclinpro data filesstroma21-3 stroma ~clinpro data filesstroma3521 1F stroma ~ta filesstroma3521 1B stroma0_R01_085 ~linpro data filesstroma11364 1D stroma ~clinpro data filesstroma1630 1D stroma ~clinpro data filesstroma1630 1C stroma 16 17 18 19 20 21 22 23 24 25 27 28 29 W W W B WWW W BBBBBBB stroma only Axt, Murphy: J Surg Res, 2011
  • 25. Principal component analysis classification from 944 Da 2191 Da Intensity (U) BBllaacckk WWTT Intensity (U) WWhhiittee WWTT stroma bblluuee == bbllaacckk : oorraannggee == wwhhiittee Axt, Murphy: J Surg Res, 2011
  • 26. Peaks that classify with greater than 85% accuracy: stroma bblluuee == bbllaacckk oorraannggee == wwhhiittee
  • 27. Murphy, Axt: Int J Canc, 2012 Favorable Histology Favorable Histology, Nuclear Unrest Unfavorable Histology Favorable Histology, p53 Unfavorable Histology, p53
  • 28. Murphy, Axt: Int J Canc, 2012
  • 29. Favorable Histology Murphy, Axt: Int J Canc, 2012 β-Catenin activation: nuclear detection Favorable Histology Unfavorable Histology
  • 30. Murphy, Axt: Int J Canc, 2012
  • 31. Preliminary analysis of Kenyan Wilms tissues
  • 32. Murphy, Axt: Int J Canc, 2012
  • 33. CONCLUSION • WT specimens arising among different race • groups show unique molecular fingerprints • that could explain disparate incidences and • biological behavior and that could reveal • novel therapeutic targets.
  • 34. ACKNOWLEDMENTS • Axt, Jason; Axt, Meridith; Githanga, Jessie; Hansen, Erik; Lessan, Joel; Li, Ming; Musimbi, Joyce; Mwachiro, Michael; Newton, Mark; Ndung’u, James; Njuguna, Festis; Nzioka, Ancent, ; Oruko, Oliver; Patel, Kirtika; Tenge, Robert; Ukoli, Flora; White, Russel; O’Neill, James; Lovvorn, Harold
  • 35. AAcckknnoowwlleeddggeemmeennttss • NNaattiioonnaall CCaanncceerr IInnssttiittuuttee ggrraanntt:: 11RR2211CA155946-01 • VVaannddeerrbbiilltt CCTTSSAA ggrraanntt:: UULL11 RRRR002244997755 • NNaattiioonnaall CCaanncceerr IInnssttiittuuttee ggrraanntt:: 55TT3322CCAA110066118833-- 0066AA11 • NNaattiioonnaall CCaanncceerr IInnssttiittuuttee ggrraanntt:: 44RR0000CCAA113355669955--0033 • MMaassss ssppeeccttrroommeettrryy:: – VVaannddeerrbbiilltt IInnggrraamm CCaanncceerr CCeenntteerr CCoorree SSuuppppoorrtt GGrraanntt PP3300--CCAA6688448855 – DDeeppaarrttmmeenntt ooff DDeeffeennssee GGrraanntt DDOODD WW8811XXWWHH--0055--11-- 00117799

Editor's Notes

  1. Approximately 500 cases per year in the US. WT is diagnosed in 1/10,000 children under 15 yrs. Peak age at presentation is 2-3 years Davidoff, A. M. (2009). Wilmsʼ tumor. Current opinion in pediatrics, 21(3), 357-364. doi:10.1097/MOP.0b013e32832b323a
  2. Green, D. M., Breslow, N. E., Beckwith, J. B., Finklestein, J. Z., Grundy, P. E., Thomas, P. R., Kim, T., et al. (1998). Comparison between single-dose and divided-dose administration of dactinomycin and doxorubicin for patients with Wilms“ tumor: a report from the National Wilms” Tumor Study Group Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 16(1), 237-245. Abdallah, F. K., &amp; Macharia, W. M. (2001). Clinical presentation and treatment outcome in children with nephroblastoma in Kenya East African medical journal, 78(7 Suppl), S43-7.