Scholars@Duke publication: A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers.

A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers.

Publication , Journal Article

Berger, AC; Korkut, A; Kanchi, RS; Hegde, AM; Lenoir, W; Liu, W; Liu, Y; Fan, H; Shen, H; Ravikumar, V; Rao, A; Schultz, A; Li, X; Yau, C ...

Published in: Cancer Cell

April 9, 2018

Published version (DOI) Link to item

We analyzed molecular data on 2,579 tumors from The Cancer Genome Atlas (TCGA) of four gynecological types plus breast. Our aims were to identify shared and unique molecular features, clinically significant subtypes, and potential therapeutic targets. We found 61 somatic copy-number alterations (SCNAs) and 46 significantly mutated genes (SMGs). Eleven SCNAs and 11 SMGs had not been identified in previous TCGA studies of the individual tumor types. We found functionally significant estrogen receptor-regulated long non-coding RNAs (lncRNAs) and gene/lncRNA interaction networks. Pathway analysis identified subtypes with high leukocyte infiltration, raising potential implications for immunotherapy. Using 16 key molecular features, we identified five prognostic subtypes and developed a decision tree that classified patients into the subtypes based on just six features that are assessable in clinical laboratories.

Duke Scholars

Author Quinn Ostrom Neurosurgery, Neuro-Oncology

Author Andrew Berchuck Obstetrics and Gynecology, Gynecologic Oncology

Author Jeffrey R. Marks Surgery, Surgical Sciences

Author Shannon Jones McCall Pathology

Author Roger Edwin McLendon Pathology

Author Angeles Alvarez Secord Obstetrics and Gynecology, Gynecologic Oncology

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Published In

Cancer Cell

DOI

10.1016/j.ccell.2018.03.014

EISSN

1878-3686

Publication Date

April 9, 2018

Volume

Issue

Start / End Page

690 / 705.e9

Location

United States

Related Subject Headings

Receptors, Estrogen
RNA, Long Noncoding
Prognosis
Organ Specificity
Oncology & Carcinogenesis
Mutation
Humans
Genital Neoplasms, Female
Genetic Predisposition to Disease
Gene Regulatory Networks

Citation

APA

Chicago

ICMJE

MLA

NLM

Berger, A. C., Korkut, A., Kanchi, R. S., Hegde, A. M., Lenoir, W., Liu, W., … Akbani, R. (2018). A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers. Cancer Cell, 33(4), 690-705.e9. https://doi.org/10.1016/j.ccell.2018.03.014

Berger, Ashton C., Anil Korkut, Rupa S. Kanchi, Apurva M. Hegde, Walter Lenoir, Wenbin Liu, Yuexin Liu, et al. “A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers.” Cancer Cell 33, no. 4 (April 9, 2018): 690-705.e9. https://doi.org/10.1016/j.ccell.2018.03.014.

Berger AC, Korkut A, Kanchi RS, Hegde AM, Lenoir W, Liu W, et al. A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers. Cancer Cell. 2018 Apr 9;33(4):690-705.e9.

Berger, Ashton C., et al. “A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers.” Cancer Cell, vol. 33, no. 4, Apr. 2018, pp. 690-705.e9. Pubmed, doi:10.1016/j.ccell.2018.03.014.

Berger AC, Korkut A, Kanchi RS, Hegde AM, Lenoir W, Liu W, Liu Y, Fan H, Shen H, Ravikumar V, Rao A, Schultz A, Li X, Sumazin P, Williams C, Mestdagh P, Gunaratne PH, Yau C, Bowlby R, Robertson AG, Tiezzi DG, Wang C, Cherniack AD, Godwin AK, Kuderer NM, Rader JS, Zuna RE, Sood AK, Lazar AJ, Ojesina AI, Adebamowo C, Adebamowo SN, Baggerly KA, Chen T-W, Chiu H-S, Lefever S, Liu L, MacKenzie K, Orsulic S, Roszik J, Shelley CS, Song Q, Vellano CP, Wentzensen N, Cancer Genome Atlas Research Network, Weinstein JN, Mills GB, Levine DA, Akbani R. A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers. Cancer Cell. 2018 Apr 9;33(4):690-705.e9.

Published In

Cancer Cell

DOI

10.1016/j.ccell.2018.03.014

EISSN

1878-3686

Publication Date

April 9, 2018

Volume

Issue

Start / End Page

690 / 705.e9

Location

United States

Related Subject Headings

Receptors, Estrogen
RNA, Long Noncoding
Prognosis
Organ Specificity
Oncology & Carcinogenesis
Mutation
Humans
Genital Neoplasms, Female
Genetic Predisposition to Disease
Gene Regulatory Networks