Cox proportional hazards deep neural network identifies peripheral blood complete remission to be at least equivalent to morphologic complete remission in predicting outcomes of patients treated with azacitidine—A prospective cohort study by the AGMT

Author:

Pleyer Lisa1234ORCID,Vaisband Marc2345,Drost Manuel6,Pfeilstöcker Michael178,Stauder Reinhard19,Heibl Sonja110,Sill Heinz111ORCID,Girschikofsky Michael112,Stampfl‐Mattersberger Margarete113,Pichler Angelika114,Hartmann Bernd115,Petzer Andreas116,Schreder Martin117,Schmitt Clemens A.11819,Vallet Sonia120,Melchardt Thomas1234,Zebisch Armin11121,Pichler Petra122,Zaborsky Nadja23423,Machherndl‐Spandl Sigrid112,Wolf Dominik19,Keil Felix178,Hasenauer Jan5,Larcher‐Senn Julian6,Greil Richard1234

Affiliation:

1. Austrian Group of Medical Tumor Therapy (AGMT) Study Group Vienna Austria

2. Salzburg Cancer Research Institute (SCRI) Center for Clinical Cancer and Immunology Trials (CCCIT) Salzburg Austria

3. Cancer Cluster Salzburg (CCS) Salzburg Austria

4. 3rd Medical Department with Hematology, Medical Oncology, Hemostaseology, Rheumatology and Infectiology, Oncologic Center Paracelsus Medical University Salzburg Austria

5. Life & Medical Sciences Institute University of Bonn Bonn Germany

6. Assign Data Management and Biostatistics GmbH Innsbruck Austria

7. 3rd Medical Department for Hematology and Oncology Hanusch Hospital Vienna Austria

8. Ludwig Boltzmann Institute for Hematology and Oncology Medical University Vienna Vienna Austria

9. Department of Hematology and Oncology, Comprehensive Cancer Center Innsbruck (CCCI) Medical University of Innsbruck (MUI) Innsbruck Austria

10. 4th Medical Department of Internal Medicine, Hematology, Internistic Oncology and Palliative Medicine Klinikum Wels‐Grieskirchen GmbH Wels Austria

11. Division of Hematology Medical University of Graz Graz Austria

12. 1st Medical Department, Hematology with Stem Cell Transplantation, Hemostaseology and Medical Oncology Ordensklinikum Linz GmbH Elisabethinen Linz Austria

13. Department of Internal Medicine 2 Wiener Gesundheitsverbund, Klinik Donaustadt Vienna Austria

14. Department of Internal Medicine, Hematology and Internal Oncology LKH Hochsteiermark Leoben Austria

15. Department of Internal Medicine 2 Landeskrankenhaus Feldkirch Feldkirch Austria

16. Internal Medicine I: Medical Oncology and Hematology Ordensklinikum Linz GmbH, Barmherzige Schwestern Linz Austria

17. 1st Department of Internal Medicine, Center for Oncology and Hematology Wiener Gesundheitsverbund, Klinik Ottakring Vienna Austria

18. Department of Hematology and Internal Oncology, Kepler University Hospital Johannes Kepler University Linz Austria

19. Charité—University Medical Center Molecular Cancer Research Center Berlin Germany

20. University Hospital Krems, Department of Internal Medicine 2 Karl Landsteiner Private University of Health Sciences Krems Austria

21. Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Division of Pharmacology Medical University of Graz Graz Austria

22. Clinical Department for Internal Medicine University Hospital St Poelten, Karl Landsteiner University of Health Sciences St Poelten Austria

23. Laboratory of Immunological and Molecular Cancer Research (LIMCR) Salzburg Austria

Abstract

AbstractThe current gold standard of response assessment in patients with myelodysplastic syndromes (MDS), chronic myelomonocytic leukemia (CMML), and acute myeloid leukemia (AML) is morphologic complete remission (CR) and CR with incomplete count recovery (CRi), both of which require an invasive BM evaluation. Outside of clinical trials, BM evaluations are only performed in ~50% of patients during follow‐up, pinpointing a clinical need for response endpoints that do not necessitate BM assessments. We define and validate a new response type termed “peripheral blood complete remission” (PB‐CR) that can be determined from the differential blood count and clinical parameters without necessitating a BM assessment. We compared the predictive value of PB‐CR with morphologic CR/CRi in 1441 non‐selected, consecutive patients diagnosed with MDS (n = 522; 36.2%), CMML (n = 132; 9.2%), or AML (n = 787; 54.6%), included within the Austrian Myeloid Registry (aMYELOIDr; NCT04438889). Time‐to‐event analyses were adjusted for 17 covariates remaining in the final Cox proportional hazards (CPH) model. DeepSurv, a CPH neural network model, and permutation‐based feature importance were used to validate results. 1441 patients were included. Adjusted median overall survival for patients achieving PB‐CR was 22.8 months (95%CI 18.9–26.2) versus 10.4 months (95%CI 9.7–11.2) for those who did not; HR = 0.366 (95%CI 0.303–0.441; p < .0001). Among patients achieving CR, those additionally achieving PB‐CR had a median adjusted OS of 32.6 months (95%CI 26.2–49.2) versus 21.7 months (95%CI 16.9–27.7; HR = 0.400 [95%CI 0.190–0.844; p = .0161]) for those who did not. Our deep neural network analysis‐based findings from a large, prospective cohort study indicate that BM evaluations solely for the purpose of identifying CR/CRi can be omitted.

Publisher

Wiley

Subject

Hematology

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