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1. Next-generation MRD assays: do we have the tools to evaluate them properly?

3. Identifying homologous recombination deficiency in breast cancer: genomic instability score distributions differ among breast cancer subtypes

6. Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA

8. Retrospective analysis of Schlafen11 (SLFN11) to predict the outcomes to therapies affecting the DNA damage response

9. Tumor-naïve pre-surgical ctDNA detection is prognostic in clinical stage I lung adenocarcinoma

10. An adaptive, biomarker-directed platform study of durvalumab in combination with targeted therapies in advanced urothelial cancer

12. Changes in Circulating Tumor DNA Reflect Clinical Benefit Across Multiple Studies of Patients With Non–Small-Cell Lung Cancer Treated With Immune Checkpoint Inhibitors

15. The landscape ofBRCA1andBRCA2large rearrangements in an international cohort of over 20 000 ovarian tumors identified using next‐generation sequencing

17. Abstract 3369: Utility of ctDNA-based targeted methylation MRD assay for hematological malignancies

18. Abstract 3384: Evaluation of a tumor informed MRD assay with contrived breast cancer samples

19. Supplemental Tables S1 to S4 and Figures S1 to S5 including legends and footnotes from Clinically Viable Gene Expression Assays with Potential for Predicting Benefit from MEK Inhibitors

20. Supplementary Table 7 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

21. Supplementary Table 6 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

22. Supplementary Table 2 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

23. Supplementary Figure 1 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

24. Supplementary Figure 7 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

25. Supplementary Figure 3 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

26. Supplementary Figure 6 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

27. Supplementary Figure 2 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

28. Supplementary Figures 8-12 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

29. Supplementary Figure 5 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

30. Data from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

31. Supplementary Table and Figure Legends from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

32. Supplementary Figure 4 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

33. Supplementary Table 4 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

34. Supplementary Table 3 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

35. Supplementary Table 5 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

36. Supplementary References from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

37. Supplementary Table 1 from Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

38. Overall survival in patients with platinum-sensitive recurrent serous ovarian cancer receiving olaparib maintenance monotherapy: an updated analysis from a randomised, placebo-controlled, double-blind, phase 2 trial

39. The landscape of BRCA1 and BRCA2 large rearrangements in an international cohort of over 20 000 ovarian tumors identified using next‐generation sequencing.

41. Olaparib maintenance therapy in patients with platinum-sensitive relapsed serous ovarian cancer: a preplanned retrospective analysis of outcomes by BRCA status in a randomised phase 2 trial

44. Concordance of BRCA mutation detection in tumor versus blood, and frequency of bi-allelic loss of BRCA in tumors from patients in the phase III SOLO2 trial

45. Homologous Recombination Repair Gene Mutation Characterization by Liquid Biopsy: A Phase II Trial of Olaparib and Abiraterone in Metastatic Castrate-Resistant Prostate Cancer

47. Tumor genomic, transcriptomic, and immune profiling characterizes differential response to first‐line platinum chemotherapy in high grade serous ovarian cancer

50. Dual-specificity protein phosphatase DUSP4 regulates response to MEK inhibition in BRAF wild-type melanoma

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