Retrospective Determination of Prognostic Factors in BRAF-V…

Retrospective Determination of Prognostic Factors in BRAF- V600E Melanoma Brain Metastases

Lily Erickson, Sahana Ramaswamy, Sherise Ferguson, James Long, Hussein Tawbi, Merve Hasanov, Alicia Bea Davies, Elizabeth Sirmans, Chantal Saberian, Eliza L. Posada, Jared Malke, Lauren Haydu, Caroline Chung

Introduction BRAF-mutant melanoma brain metastases (MBM) have poor prognosis with overall survival (OS) for these patients averaging 4 months from BM diagnosis 1 . Despite this poor prognosis, the disease is historically understudied and there is little evidence arguing for a standardized treatment plan across the field. Purpose This study aims to retrospectively identify clinical and treatment-related variables that may predict differences in overall survival for patients with BRAF-mutant MBM that could help inform a data-driven standard of care.

n

100

Methods Inclusion criteria (100 patients): •

AGE, mean (SD)

56.5 (14.2)

FEMALE

46 (46.0)

GENDER, n (%)

MALE

54 (54.0)

BRAF-mutant cutaneous melanoma

N

73 (73.0)

Developed LMD, n (%)

Y

27 (27.0)

No other concurrent cancer diagnosis

Elevated

39 (39.0)

MBM_Categorical_LDH, n (%)

• Diagnosed with BM from 1/1/2009-12/31/2018 • Received initial BM treatment at MDACC

Not Elevated

61 (61.0)

N

57 (57.0)

Breakthrough Case, n (%)

Y

43 (43.0)

Data was collected using institutional databases and manual chart review (see Table 1 for descriptive statistics). Data was cleaned and validated in Microsoft Power BI (PBI). Preliminary analysis was conducted using PBI, and further analysis was completed using Python package kaplanmeier .

N

69 (69.0)

initial - immuno, n (%)

Y

31 (31.0)

N

53 (53.0)

initial - targetted, n (%)

Y

47 (47.0)

N

51 (51.0)

initial - local, n (%)

Y

49 (49.0)

MD ANDERSON CANCER CENTER

Table 1. Patient demographics and treatment summary.

Retrospective Determination of Prognostic Factors in BRAF- V600E Melanoma Brain Metastases

Lily Erickson, Sahana Ramaswamy, Sherise Ferguson, James Long, Hussein Tawbi, Merve Hasanov, Alicia Bea Davies, Elizabeth Sirmans, Chantal Saberian, Eliza L. Posada, Jared Malke, Lauren Haydu, Caroline Chung

Results • 97 different treatment sequences represented in 100 patients (Fig. 1) • Gender not associated with differences in OS (Log rank, p=0.91051) 2 • Initial treatment with immunotherapy (IT) did not demonstrate survival advantage to initial targeted therapy (TT) (Log rank, p=0.57813) 3 • Breakthrough BM (develop despite ongoing systemic therapy at time of diagnosis) did not show OS difference compared to non-breakthrough cases (Fig. 2a) • Non-breakthrough cases were associated with a survival advantage compared to breakthrough cases for those who received initial TT or IT (Fig. 2b)

Breakthrough vs. Non-Breakthrough: All Cases

Breakthrough vs. Non-Breakthrough: System Therapy Initial

(a)

(b)

(d)

(d)

Fig. 1. Treatment flow diagram demonstrating sequence of various treatments and diagnosis. The open circle represents primary melanoma diagnosis. The closed circle represents death or end of study period. The weight of each line is proportionate to the number of patients represented.

MD ANDERSON CANCER CENTER Fig. 2. (a) Kaplan Meier curve showing OS comparison for all breakthrough vs. non-breakthrough cases. (b) Kaplan Meier curve showing OS comparison for breakthrough vs. non-breakthrough cases where patient received initial BM therapy of immunotherapy or targeted therapy.

Retrospective Determination of Prognostic Factors in BRAF- V600E Melanoma Brain Metastases

Lily Erickson, Sahana Ramaswamy, Sherise Ferguson, James Long, Hussein Tawbi, Merve Hasanov, Alicia Bea Davies, Elizabeth Sirmans, Chantal Saberian, Eliza L. Posada, Jared Malke, Lauren Haydu, Caroline Chung

MD ANDERSON CANCER CENTER 3. Atkins MB, Lee SJ, Chmielowski B, et al. DREAMseq (Doublet, Randomized Evaluation in Advanced Melanoma Sequencing): A phase III trial — ECOG-ACRIN EA6134. J Clin Oncol . 2021; 39(36): suppl abstr 356154. Conclusions • Highly variable treatment strategies complicate our analysis of treatment response • BRAF-MBM does not follow anticipated patterns from extracranial disease • Initial systemic therapy may improve survival in the context of non-breakthrough MBM Future Directions • Elucidate mechanisms behind treatment-related survival differences • Understand patterns for progression, other outcome metrics Acknowledgements Many thanks to the patients and clinicians that made this study possible. Thank you, also, to the Chung lab for their support. References 1. AlqathamaA. BRAF in malignant melanoma progression and metastasis: potentials and challenges. Am J Cancer Res . 2020; 10(4): 1103-1114. 2. Vellano CP, White MG, Andrews MC, et al. Androgen receptor blockade promotes response to BRAF/MEK-targeted therapy. Nature . 2022; 606(7915): 797-803.

Page 1 Page 2 Page 3

Made with FlippingBook - PDF hosting