progress and constraints in trea ng apl in india
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" Progress and Constraints in trea/ng APL in India Dr Mammen Chandy Dr Mammen Chandy Tata Medical Center, Kolkata, India Tata Medical Center, Kolkata, India Disclosures of Dr Mammen Chandy Company Research Speakers Advisory


  1. " Progress and Constraints in trea/ng APL in India” Dr Mammen Chandy Dr Mammen Chandy Tata Medical Center, Kolkata, India Tata Medical Center, Kolkata, India

  2. Disclosures of Dr Mammen Chandy Company Research Speakers Advisory Employee Consultant Stockholder Other name support bureau board nil nil no nil no no no nil

  3. Outline of the Presenta/on • Data from Tata Medical Center Kolkata. • What has changed in India • MDRO • Diagnosis of APL • Choosing protocols for APL in India • Preven/ng and managing the differen/a/on syndrome • Star/ng an APL registry for India

  4. What has changed in India Children’s Ward

  5. APL 2011 to 2017 Tata Medical Center Kolkata

  6. Pa/ents diagnosed at TMC PaEents Number Percentage Total 80 Pediatrics Unit 16 20% Only for diagnosis 11 13.75% Treated by the 53 66.25% adult team

  7. Hematological parameters at presenta/on Parameters Median Range Hemoglobin : median 8.75 (3.7 – 12.5) [range] WBC count : median 19500 (300 – 112000) [range] (1000 – 332000) Platelets : median 14500 [range] (75-771) Fibrinogen median 196 (range) PT median (range) 14.3 (11.8 – 30.6 ) aPTT median (range) 27.2 (14.6 – 54.1) *16 pa/ents presented with low counts

  8. APL Rxed …March 2011 to Feb 2017 PaEent CharacterisEcs Number Total 53 Gender (Male : 19/25 43.18%/56.81% female) Age (years): range 9 to 67 Median 33 years Risk Stra/fica/on Sanz criteria Vikram Mathews Criteria -Low 2 (3.7%) -Non High 12(22.6%) -Intermediate 18 (33.9%) -High 33 (62.2%) -High 41(77.3%) Vikram Mathew Criteria High Risk Non High Risk TLC >5000 <5000 Platelet <20000 >20000 Mathews V et al. Single-agent ATO in the treatment of Grimwade D et al. Characteriza/on of APL cases lacking the classic t(15;17): results of the European Working Party. Blood newly diagnosed APML: durable remissions with minimal 2000;96:1297-1308 . toxicity. Blood 2006. 107: 2627-2632.

  9. Treatment PROTOCOL Number (53) Evalauble for InducEon Response (MR) deaths Single agent Arsenic 12 (22.6%) 9/9 3 Arsenic + Anthracycline* 19 (35.8%) 18/18 1 Arsenic + ATRA 6 (11.3%) 6/6 Arsenic and ATRA 14 (26.4%) 13/13 1 +Anthracycline Others (ATRA 2 (3.7%) 2/2 +Anthracycline)

  10. RFS by Induc/on Treatment ….. 2017 Relapse 100 4.Arsenic, ATRA and Anthracycline 90 1.Arsenic alone 80 3.Arsenic 70 Induction_Grp +ATRA 2.Arsenic and Anthracycline 60 1 50 2 3 40 4 30 20 10 0 0 12 24 36 48 60 72 Time Number at risk Group: 1 12 9 9 9 3 1 0 Group: 2 21 15 12 10 1 0 0 Group: 3 6 4 1 0 0 0 0 Group: 4 12 11 6 2 1 0 0

  11. Mortality Details PaEent Age/Gender Days from Cause of death Risk InducEon straEficaEon 1. 42/M 8 days IC Hemorrhage Intermediate risk 2. 24/F 19 days IC Hemorrhage, Sepsis High Risk (GNB) 3. 24/M 12months 15 Relapsed aner 9 months, High risk days Sepsis (GNB and fungal infec/on) 4. 45/F 5 days IC Hemorrhage High risk 5. 16/M 4 days IC Hemorrhage High risk 6. 29/F 2 days IC Hemorrhage High risk 7. 46/F 25 days Sepsis(GNB) Intermediate risk 8. 29/M 8 days Sepsis(GNB) High Risk

  12. Morbidity Details.. Number ICU 15 (28.3%) Differen/a/on 23 (43.4%) syndrome Infec/ons 16 (30.2%)

  13. Suppor/ve care….. For Rx of APL Mean and Range Packed cells 4.8 (2 to 36) Platelets (RDP) 17.2 (0 to 162) SDP 1.6 (0 to 11) FFP 6.8 (0 to 72) Cryoprecipitate 10.8 (0 to 70)

  14. Status…… 2017 • Alive- 45/53 (85%) • Dead : 8 [4- ICH, 1- ICH and infec/on, 3- infec/on] • Relapse : 5 [Marrow-2, Marrow and CNS- 3] • 1 st Relapse salvaged- 3 • 2 nd Relapse salvaged - 1

  15. Relapse free survival …… 2017 Relapse 100 90 80 70 60 50 40 30 20 10 0 0 12 24 36 48 60 72 Time Number at risk 52 40 28 21 5 1 0

  16. Relapse Free survival.. APL 2011 to 2017 Relapse Low risk 100 Intermediate risk 80 High risk 60 Sanz_Risk_Stratification 1 2 3 40 20 0 0 12 24 36 48 60 72 Time Number at risk Group: 1 2 1 1 1 0 0 0 Group: 2 18 15 10 9 3 1 0 Group: 3 32 24 17 11 2 0 0

  17. APL Overall survival…….. Till 2017 Status 100 80 60 40 20 0 0 12 24 36 48 60 72 Time Number at risk 53 42 33 22 6 2 0

  18. Progress For APL In India

  19. India -Popula/on profiles • Profile I • Profile II Profile III AGE : 2 Years AGE : 5 YEARS AGE : 10 YEARS FATHER: LABORER FATHER: BAKER FATHER : BUSINESS MOTHER: LABORER MOTHER: HOUSEWIFE MOTHER : HOUSEWIFE EDUCATIONAL EDUCATIONAL STATUS : EDUCATIONAL STATUS LITERATE STATUS: ILLITERATE BOTH GRDUATES SIBLINGS : TWO SIBLINGS: SIX SIBLINGS : ONE MONTHLY MONTHLY INCOME : MONTHLY INCOME INCOME : US US $ 200 > US $ 3000 -? $ 200-1000 2% 70% 28%

  20. SOME DEMOGRAPHIC FEATURES OF USA & INDIA USA -2017 INDIA 2013 INDIA 2017 POPULATION-m 362m 1.27 billion 1.35 billion BIRTHS/1000 12 22 21 Deaths/1000 8 7 7 Infant Mortality 5.8 44 37 % Popula/on<15 19 30 429 % Popula/on >65 15 6 6 GNP/CAP- US$ 58,030 3840 6490 Health Expend per 8713 Cap WB 15.82 ( 1995) 74.99 (2014) Data from: 2013 a& 2017 World Popula/on Data Sheet, Popula/on Reference Bureau, USA.

  21. Progress • For 30% of the popula/on who can afford treatment for APL there is adequate infrastructure for trea/ng APL • Diagnos/cs: NABL accredited laboratories with quality control programs (na/onal for coagula/on, biochemistry, haematology) • Blood components • Molecular diagnos/c facili/es including FISH and RT-PCR.

  22. DIAGNOSTIC LABORATORIES

  23. Blood Components

  24. With 5 Illumina HiSeq Next-Generation sequencing machines, MedGenome is the highest throughput NGS lab in South-East Asia

  25. In non-APL/ normal cells oncogenic domains can be observed as 5 to 30 • intranuclear parEcles In APL promyelocytes it is seen as a microgranular nuclear pa`ern of • staining (due to forma/on of heterodimers between PML-RARa isoforms and PML protein) NegaEve PosiEve

  26. typical micropunctate posiEvity AML M5 typical speckled posiEvity of the PML/RARa fusion protein of wild-type PML (APAAP technique; (APAAP technique; hematoxylin counterstain} hematoxylin counterstain)

  27. S. Study Number of PosiEve IF NegaEve Comments No cases* (APL/ pa`ern IF pa`ern non APL) 1 92 (14/ 78) 14 78 Falini B. et al. Blood 100% concordance 1997 with RT-PCR results 2 164 (110/ 54) 108^ 54 Gomis F et al. Ann Hematol 2004 3 349 (199/ 150) 196 # 148 ## Dimov ND et al. Sensi/vity 98.9%; Cancer 2010 Specificity 98.7% 4 30 (9/ 21) 9 21 Alayed KM et al. Arch 100% concordance Pathol Lab Med 2013 with RT-PCR & FISH results (*APL final diagnosis confirmed by RT-PCR for PML-RARα fusion) ( # 3 cases with PML-RARα fusion were missed in IF tes/ng; ## 2 cases were falsely posi/ve in IF tes/ng) (^2 cases - IF not worked due to scarcity of cells)

  28. Advantages: Cheap Cost $4 • Less turnaround /me (<4hrs) • Can detect all types of fusion transcript (bcr 1, 2, 3) or cryp/c transloca/ons • Technically less demanding in comparison to RT-PCR and FISH, more useful in • clinical sexngs where cytogene/c and molecular tes/ng are not readily available Disadvantages: Microgranular payern vs. nuclear bodies Interpreta/on can be difficult • Has to be done on Fresh Sample • Use in follow-up specimen not recommended • Cannot be used in FFPE/ archival /ssue specimens where there is increased • possibility of false posi/ve results Cannot detect variant RARα trasloca/ons [t(11;17) etc.] •

  29. Diagnos/c workflow for APML at Tata Medical Center Suspicion of AML on morphology and flow cytometry Flowcytometry Karyotyping FISH for PML/RARA using dual colour RT PCR for PML/RARA dual fusion probe. TAT :12-24 hours Posi/ve for fusions Nega/ve for fusions Confirmed as APML Extra RARA signal Standard nega/ve payern If RT-PCR posi/ve then diagnose • Suspect variant RARA transloca/on. as FISH nega/ve APML • Correlate with karyotype and confirm • RARA break apart probe/Matched metaphase

  30. • 27/M, Referred from Bangladesh • BM: s/o APML • Started on ATRA, no response • RT-PCR for PML-RARA : negative PML (15q22) RARA (17q21) 46,XY,t(11;17)(q23;q21)[3]/45,idem,-Y[10]/46,XY[3]

  31. FISH Nega/ve RT-PCR Posi/ve APML (6 cases in 5 years) No. Age FISH FOR PML-RARa Karyotyping RT-PCR FOR PML- t(15;17) RARA(RNA) UPN 1 28 NegaEve 46,XX[20] POSITIVE (BCR1) UPN 2 28 NegaEve 47,XY,+18[2]/46,XY[18] POSITIVE (BCR1) 5 NegaEve 46,XY,der(10)t(10;?) (q25;?) POSITIVE (BCR1) UPN 3 [8]/46,XY,del(5)(q14) [1]/46,XY[11] UPN 4 4 NegaEve Not done POSITIVE (BCR1) UPN 5 55 NegaEve 46,XY[20] POSITIVE (BCR1) UPN 6 10 NegaEve Not done POSITIVE (BCR1) � All the above 6 cases had characteris/c morphologic and flowcytometry findings of APML but were FISH t(15:17) nega/ve and RT-PCR t(15:17) posi/ve. � FISH-nega/ve cryp/c PML-RARA rearrangement APML cases are rare � Only 35 such cases described in the literature /ll date to be best of our knowledge (largest series is of 10 cases** with rest been case reports of one to three cases) **Biomed Res Int 2013; 2013: 164501

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