Dataset Information

Genomic landscape of gliosarcoma: distinguishing features and targetable alterations.

ABSTRACT: Gliosarcoma is an aggressive brain tumor with histologic features of glioblastoma (GBM) and soft tissue sarcoma. Despite its poor prognosis, its rarity has precluded analysis of its underlying biology. We used a multi-center database to characterize the genomic landscape of gliosarcoma. Sequencing data was obtained from 35 gliosarcoma patients from Genomics Evidence Neoplasia Information Exchange (GENIE) 5.0, a database curated by the American Association of Cancer Research (AACR). We analyzed genomic alterations in gliosarcomas and compared them to GBM (n = 1,449) and soft tissue sarcoma (n = 1,042). 30 samples were included (37% female, median age 59 [IQR: 49-64]). Nineteen common genes were identified in gliosarcoma, defined as those altered in > 5% of samples, including TERT Promoter (92%), PTEN (66%), and TP53 (60%). Of the 19 common genes in gliosarcoma, 6 were also common in both GBM and soft tissue sarcoma, 4 in GBM alone, 0 in soft tissue sarcoma alone, and 9 were more distinct to gliosarcoma. Of these, BRAF harbored an OncoKB level 1 designation, indicating its status as a predictive biomarker of response to an FDA-approved drug in certain cancers. EGFR, CDKN2A, NF1, and PTEN harbored level 4 designations in solid tumors, indicating biological evidence of these biomarkers predicting a drug-response. Gliosarcoma contains molecular features that overlap GBM and soft tissue sarcoma, as well as its own distinct genomic signatures. This may play a role in disease classification and inclusion criteria for clinical trials. Gliosarcoma mutations with potential therapeutic indications include BRAF, EGFR, CDKN2A, NF1, and PTEN.

SUBMITTER: Zaki MM

PROVIDER: S-EPMC8429571 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Genomic landscape of gliosarcoma: distinguishing features and targetable alterations.

Zaki Mark M MM Mashouf Leila A LA Woodward Eleanor E Langat Pinky P Gupta Saksham S Dunn Ian F IF Wen Patrick Y PY Nahed Brian V BV Bi Wenya Linda WL

Scientific reports 20210909 1

Gliosarcoma is an aggressive brain tumor with histologic features of glioblastoma (GBM) and soft tissue sarcoma. Despite its poor prognosis, its rarity has precluded analysis of its underlying biology. We used a multi-center database to characterize the genomic landscape of gliosarcoma. Sequencing data was obtained from 35 gliosarcoma patients from Genomics Evidence Neoplasia Information Exchange (GENIE) 5.0, a database curated by the American Association of Cancer Research (AACR). We analyzed g ...[more]

PMID: 34504233

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Project description:ImportanceNon-small-cell lung cancer (NSCLC) diagnosed in young patients is rare, and the genomics and clinical characteristics of this disease are poorly understood. In contrast, the diagnosis of other cancers at a young age has been demonstrated to define unique disease biology. Herein, we report on the association of young age with targetable genomic alterations and prognosis in a cohort of 2237 patients with NSCLC.ObjectiveTo determine the relationship between young age at diagnosis and the presence of a potentially targetable genomic alteration, disease prognosis, and natural history.Design, setting, and participantsA cohort of all 2237 patients with NSCLC who were genotyped at the Dana-Farber Cancer Institute between January 2002 and December 2014 were identified. Tumor genotype, patient characteristics, and clinical outcomes were collected and studied at a National Cancer Institute-designated comprehensive cancer center. Multivariate logistic regression was used to analyze the relationship between age and mutation status, and multivariate Cox proportional hazard models were fitted for survival analysis.Main outcomes and measuresThe frequency of targetable genomic alterations by defined age categories as well as the association of these age groups with survival. Age categories used in this analysis were younger than 40, 40 to 49, 50 to 59, 60 to 69, and 70 years or older.ResultsA cohort of 2237 patients with NSCLC was studied. Of the 2237 participants, 1939 (87%) had histologically confirmed adenocarcinoma, 269 (12%) had NSCLC not otherwise specified, and 29 (1%) had squamous histologic findings; 1396 (63%) had either stage IIIB or IV cancers; and median (range) age was 62 (20-95) years. We found that gene mutations for EGFR (P = .02) and ALK (P < .001) were associated with cancer diagnosis at a younger age, and a similar trend existed for ERBB2 (P = .15) and ROS1 (P = .10) but not BRAF V600E (P = .43). Among patients tested for all 5 targetable genomic alterations (n = 1325), younger age was associated with an increased frequency of a targetable genotype (P < .001). Those diagnosed at 50 years or younger have a 59% increased likelihood of harboring a targetable genotype. While presence of a potentially targetable genomic alteration treated with a targeted agent was associated with improved survival, the youngest and oldest age groups had similarly poor outcomes even when a targetable genotype was present.Conclusions and relevanceYounger age is associated with an increased likelihood of harboring a targetable genotype and is an underappreciated clinical biomarker in NSCLC. The survival of young patients with NCSLC is unexpectedly poor compared with other age groups, suggesting more aggressive disease biology. These findings underscore the importance of comprehensive genotyping, including next-generation sequencing, in younger patients with lung cancer.

Dataset Information

Genomic landscape of gliosarcoma: distinguishing features and targetable alterations.

Publications

Genomic landscape of gliosarcoma: distinguishing features and targetable alterations.

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