Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

Paula Whitmire; Cassandra R. Rickertsen; Andrea Hawkins-Daarud; Eduardo Carrasco; Julia Lorence; Gustavo De Leon; Lee Curtin; Spencer Bayless; Kamala Clark-Swanson; Noah C. Peeri; Christina Corpuz; Christine Paula Lewis-De Los Angeles; Bernard R. Bendok; Luis Gonzalez-Cuyar; Sujay Vora; Maciej M. Mrugala; Leland S. Hu; Lei Wang; Alyx Porter; Priya Kumthekar; Sandra K. Johnston; Kathleen M. Egan; Robert Gatenby; Peter Canoll; Joshua B. Rubin; Kristin R. Swanson

doi:10.1186/s12885-020-06816-2

Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

Paula Whitmire^*, Cassandra R. Rickertsen, Andrea Hawkins-Daarud, Eduardo Carrasco, Julia Lorence, Gustavo De Leon, Lee Curtin, Spencer Bayless, Kamala Clark-Swanson, Noah C. Peeri, Christina Corpuz, Christine Paula Lewis-De Los Angeles, Bernard R. Bendok, Luis Gonzalez-Cuyar, Sujay Vora, Maciej M. Mrugala, Leland S. Hu, Lei Wang, Alyx Porter, Priya KumthekarSandra K. Johnston, Kathleen M. Egan, Robert Gatenby, Peter Canoll, Joshua B. Rubin, Kristin R. Swanson

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Background: Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods: Combining multi-modal MR images, biomathematical models, and patient clinical information, this investigation assesses which pretreatment variables have a sex-specific impact on the survival of glioblastoma patients (299 males and 195 females). Results: Among males, tumor (T1Gd) radius was a predictor of overall survival (HR = 1.027, p = 0.044). Among females, higher tumor cell net invasion rate was a significant detriment to overall survival (HR = 1.011, p < 0.001). Female extreme survivors had significantly smaller tumors (T1Gd) (p = 0.010 t-test), but tumor size was not correlated with female overall survival (p = 0.955 CPH). Both male and female extreme survivors had significantly lower tumor cell net proliferation rates than other patients (M p = 0.004, F p = 0.001, t-test). Conclusion: Despite similar distributions of the MR imaging parameters between males and females, there was a sex-specific difference in how these parameters related to outcomes.

Original language	English (US)
Article number	447
Journal	BMC cancer
Volume	20
Issue number	1
DOIs	https://doi.org/10.1186/s12885-020-06816-2
State	Published - May 19 2020

Keywords

Biomathematical models
Glioblastoma
Neuroimaging
Sex differences

ASJC Scopus subject areas

Genetics
Oncology
Cancer Research

UN SDGs

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

Access to Document

10.1186/s12885-020-06816-2

Cite this

Whitmire, P., Rickertsen, C. R., Hawkins-Daarud, A., Carrasco, E., Lorence, J., De Leon, G., Curtin, L., Bayless, S., Clark-Swanson, K., Peeri, N. C., Corpuz, C., Lewis-De Los Angeles, C. P., Bendok, B. R., Gonzalez-Cuyar, L., Vora, S., Mrugala, M. M., Hu, L. S., Wang, L., Porter, A., ... Swanson, K. R. (2020). Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients. BMC cancer, 20(1), Article 447. https://doi.org/10.1186/s12885-020-06816-2

@article{00cf05420daf415c9bbe05290ce6dec2,

title = "Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients",

abstract = "Background: Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods: Combining multi-modal MR images, biomathematical models, and patient clinical information, this investigation assesses which pretreatment variables have a sex-specific impact on the survival of glioblastoma patients (299 males and 195 females). Results: Among males, tumor (T1Gd) radius was a predictor of overall survival (HR = 1.027, p = 0.044). Among females, higher tumor cell net invasion rate was a significant detriment to overall survival (HR = 1.011, p < 0.001). Female extreme survivors had significantly smaller tumors (T1Gd) (p = 0.010 t-test), but tumor size was not correlated with female overall survival (p = 0.955 CPH). Both male and female extreme survivors had significantly lower tumor cell net proliferation rates than other patients (M p = 0.004, F p = 0.001, t-test). Conclusion: Despite similar distributions of the MR imaging parameters between males and females, there was a sex-specific difference in how these parameters related to outcomes.",

keywords = "Biomathematical models, Glioblastoma, Neuroimaging, Sex differences",

author = "Paula Whitmire and Rickertsen, {Cassandra R.} and Andrea Hawkins-Daarud and Eduardo Carrasco and Julia Lorence and {De Leon}, Gustavo and Lee Curtin and Spencer Bayless and Kamala Clark-Swanson and Peeri, {Noah C.} and Christina Corpuz and {Lewis-De Los Angeles}, {Christine Paula} and Bendok, {Bernard R.} and Luis Gonzalez-Cuyar and Sujay Vora and Mrugala, {Maciej M.} and Hu, {Leland S.} and Lei Wang and Alyx Porter and Priya Kumthekar and Johnston, {Sandra K.} and Egan, {Kathleen M.} and Robert Gatenby and Peter Canoll and Rubin, {Joshua B.} and Swanson, {Kristin R.}",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s).",

year = "2020",

month = may,

day = "19",

doi = "10.1186/s12885-020-06816-2",

language = "English (US)",

volume = "20",

journal = "BMC cancer",

issn = "1471-2407",

publisher = "BioMed Central",

number = "1",

}

Whitmire, P, Rickertsen, CR, Hawkins-Daarud, A, Carrasco, E, Lorence, J, De Leon, G, Curtin, L, Bayless, S, Clark-Swanson, K, Peeri, NC, Corpuz, C, Lewis-De Los Angeles, CP, Bendok, BR, Gonzalez-Cuyar, L, Vora, S, Mrugala, MM, Hu, LS, Wang, L, Porter, A, Kumthekar, P, Johnston, SK, Egan, KM, Gatenby, R, Canoll, P, Rubin, JB & Swanson, KR 2020, 'Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients', BMC cancer, vol. 20, no. 1, 447. https://doi.org/10.1186/s12885-020-06816-2

TY - JOUR

T1 - Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

AU - Whitmire, Paula

AU - Rickertsen, Cassandra R.

AU - Hawkins-Daarud, Andrea

AU - Carrasco, Eduardo

AU - Lorence, Julia

AU - De Leon, Gustavo

AU - Curtin, Lee

AU - Bayless, Spencer

AU - Clark-Swanson, Kamala

AU - Peeri, Noah C.

AU - Corpuz, Christina

AU - Lewis-De Los Angeles, Christine Paula

AU - Bendok, Bernard R.

AU - Gonzalez-Cuyar, Luis

AU - Vora, Sujay

AU - Mrugala, Maciej M.

AU - Hu, Leland S.

AU - Wang, Lei

AU - Porter, Alyx

AU - Kumthekar, Priya

AU - Johnston, Sandra K.

AU - Egan, Kathleen M.

AU - Gatenby, Robert

AU - Canoll, Peter

AU - Rubin, Joshua B.

AU - Swanson, Kristin R.

PY - 2020/5/19

Y1 - 2020/5/19

N2 - Background: Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods: Combining multi-modal MR images, biomathematical models, and patient clinical information, this investigation assesses which pretreatment variables have a sex-specific impact on the survival of glioblastoma patients (299 males and 195 females). Results: Among males, tumor (T1Gd) radius was a predictor of overall survival (HR = 1.027, p = 0.044). Among females, higher tumor cell net invasion rate was a significant detriment to overall survival (HR = 1.011, p < 0.001). Female extreme survivors had significantly smaller tumors (T1Gd) (p = 0.010 t-test), but tumor size was not correlated with female overall survival (p = 0.955 CPH). Both male and female extreme survivors had significantly lower tumor cell net proliferation rates than other patients (M p = 0.004, F p = 0.001, t-test). Conclusion: Despite similar distributions of the MR imaging parameters between males and females, there was a sex-specific difference in how these parameters related to outcomes.

AB - Background: Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods: Combining multi-modal MR images, biomathematical models, and patient clinical information, this investigation assesses which pretreatment variables have a sex-specific impact on the survival of glioblastoma patients (299 males and 195 females). Results: Among males, tumor (T1Gd) radius was a predictor of overall survival (HR = 1.027, p = 0.044). Among females, higher tumor cell net invasion rate was a significant detriment to overall survival (HR = 1.011, p < 0.001). Female extreme survivors had significantly smaller tumors (T1Gd) (p = 0.010 t-test), but tumor size was not correlated with female overall survival (p = 0.955 CPH). Both male and female extreme survivors had significantly lower tumor cell net proliferation rates than other patients (M p = 0.004, F p = 0.001, t-test). Conclusion: Despite similar distributions of the MR imaging parameters between males and females, there was a sex-specific difference in how these parameters related to outcomes.

KW - Biomathematical models

KW - Glioblastoma

KW - Neuroimaging

KW - Sex differences

UR - http://www.scopus.com/inward/record.url?scp=85084964990&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85084964990&partnerID=8YFLogxK

U2 - 10.1186/s12885-020-06816-2

DO - 10.1186/s12885-020-06816-2

M3 - Article

C2 - 32429869

AN - SCOPUS:85084964990

SN - 1471-2407

VL - 20

JO - BMC cancer

JF - BMC cancer

IS - 1

M1 - 447

ER -

Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint