Tumor mutational load derived from recurrently mutated genes in chronic lymphocytic leukemia (CLL) predicts time-to-first treatment in high-count monoclonal B-cell lymphocytosis (HC MBL)

Geffen Kleinstern; Cecilia Bonolo De Campos; Nicholas J Boddicker; Daniel R O'Brien; Shulan Tian; Chantel Barney; Kari G Rabe; Cristine Allmer; Laura Bruins; Aaron D Norman

doi:10.1158/1538-7445.AM2021-884

Tumor mutational load derived from recurrently mutated genes in chronic lymphocytic leukemia (CLL) predicts time-to-first treatment in high-count monoclonal B-cell lymphocytosis (HC MBL)

Geffen Kleinstern
, Cecilia Bonolo De Campos
, Nicholas J Boddicker
, Daniel R O'Brien
, Shulan Tian
, Chantel Barney
, Kari G Rabe
, Cristine Allmer
, Laura Bruins
, Aaron D Norman

School of Public Health

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Article number	Abstract 884
Pages (from-to)	884
Number of pages	1
Journal	Cancer Research
Volume	81
Issue number	supp 13
DOIs	https://doi.org/10.1158/1538-7445.AM2021-884
State	Published - 2021
Event	AACR Annual Meeting - Philadelphia, United States Duration: 10 Apr 2021 → 21 May 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1158/1538-7445.AM2021-884

Cite this

Kleinstern, G., De Campos, C. B., Boddicker, N. J., O'Brien, D. R., Tian, S., Barney, C., Rabe, K. G., Allmer, C., Bruins, L., & Norman, A. D. (2021). Tumor mutational load derived from recurrently mutated genes in chronic lymphocytic leukemia (CLL) predicts time-to-first treatment in high-count monoclonal B-cell lymphocytosis (HC MBL). Cancer Research, 81(supp 13), 884. Article Abstract 884. https://doi.org/10.1158/1538-7445.AM2021-884

@article{adab13a06fdf4eaf800903a7c21b6ed8,

title = "Tumor mutational load derived from recurrently mutated genes in chronic lymphocytic leukemia (CLL) predicts time-to-first treatment in high-count monoclonal B-cell lymphocytosis (HC MBL)",

author = "Geffen Kleinstern and \{De Campos\}, \{Cecilia Bonolo\} and Boddicker, \{Nicholas J\} and O'Brien, \{Daniel R\} and Shulan Tian and Chantel Barney and Rabe, \{Kari G\} and Cristine Allmer and Laura Bruins and Norman, \{Aaron D\}",

year = "2021",

doi = "10.1158/1538-7445.AM2021-884",

language = "English",

volume = "81",

pages = "884",

journal = "Cancer Research",

issn = "0008-5472",

publisher = "American Association for Cancer Research Inc.",

number = "supp 13",

note = "AACR Annual Meeting ; Conference date: 10-04-2021 Through 21-05-2021",

}

Kleinstern, G, De Campos, CB, Boddicker, NJ, O'Brien, DR, Tian, S, Barney, C, Rabe, KG, Allmer, C, Bruins, L & Norman, AD 2021, 'Tumor mutational load derived from recurrently mutated genes in chronic lymphocytic leukemia (CLL) predicts time-to-first treatment in high-count monoclonal B-cell lymphocytosis (HC MBL)', Cancer Research, vol. 81, no. supp 13, Abstract 884, pp. 884. https://doi.org/10.1158/1538-7445.AM2021-884

Tumor mutational load derived from recurrently mutated genes in chronic lymphocytic leukemia (CLL) predicts time-to-first treatment in high-count monoclonal B-cell lymphocytosis (HC MBL). / Kleinstern, Geffen; De Campos, Cecilia Bonolo; Boddicker, Nicholas J et al.
In: Cancer Research, Vol. 81, No. supp 13, Abstract 884, 2021, p. 884.

Research output: Contribution to journal › Meeting Abstract › peer-review

TY - JOUR

T1 - Tumor mutational load derived from recurrently mutated genes in chronic lymphocytic leukemia (CLL) predicts time-to-first treatment in high-count monoclonal B-cell lymphocytosis (HC MBL)

AU - Kleinstern, Geffen

AU - De Campos, Cecilia Bonolo

AU - Boddicker, Nicholas J

AU - O'Brien, Daniel R

AU - Tian, Shulan

AU - Barney, Chantel

AU - Rabe, Kari G

AU - Allmer, Cristine

AU - Bruins, Laura

AU - Norman, Aaron D

PY - 2021

Y1 - 2021

U2 - 10.1158/1538-7445.AM2021-884

DO - 10.1158/1538-7445.AM2021-884

M3 - Meeting Abstract

SN - 0008-5472

VL - 81

SP - 884

JO - Cancer Research

JF - Cancer Research

IS - supp 13

M1 - Abstract 884

T2 - AACR Annual Meeting

Y2 - 10 April 2021 through 21 May 2021

ER -