| Literature DB >> 31902686 |
Kylie L Gorringe1, Dane Cheasley2, Matthew J Wakefield3, Georgina L Ryland4, Prue E Allan4, Kathryn Alsop2, Kaushalya C Amarasinghe4, Sumitra Ananda5, David D L Bowtell2, Michael Christie6, Yoke-Eng Chiew7, Michael Churchman8, Anna DeFazio9, Sian Fereday2, C Blake Gilks10, Charlie Gourley8, Alison M Hadley11, Joy Hendley4, Sally M Hunter4, Scott H Kaufmann12, Catherine J Kennedy13, Martin Köbel14, Cecile Le Page15, Jason Li4, Richard Lupat4, Orla M McNally16, Jessica N McAlpine10, Jan Pyman17, Simone M Rowley4, Carolina Salazar4, Hugo Saunders4, Timothy Semple4, Andrew N Stephens18, Niko Thio4, Michelle C Torres4, Nadia Traficante2, Magnus Zethoven4, Yoland C Antill19, Ian G Campbell2, Clare L Scott20.
Abstract
OBJECTIVE: Mucinous ovarian carcinoma (MOC) is an uncommon ovarian cancer histotype that responds poorly to conventional chemotherapy regimens. Although long overall survival outcomes can occur with early detection and optimal surgical resection, recurrent and advanced disease are associated with extremely poor survival. There are no current guidelines specifically for the systemic management of recurrent MOC. We analyzed data from a large cohort of women with MOC to evaluate the potential for clinical utility from a range of systemic agents.Entities:
Keywords: Genomic; Molecular targeted therapy; Ovarian cancer; Precision oncology; Sequencing; Therapy
Mesh:
Substances:
Year: 2020 PMID: 31902686 PMCID: PMC7056511 DOI: 10.1016/j.ygyno.2019.12.015
Source DB: PubMed Journal: Gynecol Oncol ISSN: 0090-8258 Impact factor: 5.482
Cohort for genomic and IHC analysis.
| Discovery sequencing | Validation sequencing | Copy number | IHC (ER) | |
|---|---|---|---|---|
| Mucinous borderline (n = 109) | 9 | 18 | 39 | 80 |
| Mucinous carcinoma (n = 198) | 51 | 133 | 191 | 132 |
| Grade | ||||
| G1 | 21 (41%) | 62 (47%) | 86 (45%) | 61 (46%) |
| G2 | 22 (43%) | 55 (42%) | 79 (41%) | 51 (39%) |
| G3 | 8 (16%) | 16 (12%) | 26 (14%) | 20 (15%) |
| FIGO stage | ||||
| I | 37 (73%) | 102 (77%) | 147 (77%) | 98 (74%) |
| II | 2 (4%) | 8 (6%) | 10 (5%) | 9 (7%) |
| III-IV | 10 (20%) | 17 (13%) | 25 (13%) | 22 (17%) |
| Stage missing | 2 (4%) | 6 (4%) | 9 (5%) | 3 (2%) |
| Extra-ovarian metastases (n = 36) | 2 | 24 | 29 | 23 |
Fig. 1.Prevalence of DNA damage repair pathways. A. Homologous recombination deficiency was measured as in Marquard et al. [11] (HRD Score) and shows that MOC rarely have a score above that used to predict response to platinum or PARP inhibitors (BRCA-deficient median and blue zone indicating HRD Score >42 that may respond to platinum from Telli et al. [13]). Black diamond is the mean HRD Score. B. Mismatch repair deficiency is also rare, as indicated by the mutation burden: Mutations per Mb, log10 transformed, black diamond is the mean, dashed line is a suggested threshold for mismatch-repair deficiency detection from Nowak et al. [14]. Arrow, MOC with MSH6 mutation, arrowheads, extra-ovarian metastases (EOM) with MMR gene mutations, *, MOC with MSH6 mutation that is likely non-pathogenic. BEN, benign mucinous tumor, MBT, mucinous borderline tumor. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 2.Targetable events in mucinous ovarian cancer. A. Genetic events potentially targetable in MOC. MBT = mucinous borderline tumor n = 27, G1 MOC n = 83, G2 MOC n = 78, G3 MOC n = 24. Mutation type: Amp = Amplification (ERBB2 only); HomDel = Homozygous deletion (CDKN2A only). B. ER immunohistochemistry status by MOC grade. C. ERBB2 amplification and HER2 immunohistochemistry. Case 15417 showing concordance of 3+ staining and high-level amplification (Scale bar 100 μm). Case IC392 showing HER2 heterogeneity (Scale bar 200 μm). Arrows indicate location of ERBB2 gene. D. Percentage of cases with the number of genes (from A) affected by mutation or copy number.
Potentially targetable events in MOC.
| Genetic event | Potential therapy | |
|---|---|---|
| 79 (42.9%) | ||
| | 51 (26.7%) | Anti Her2 monoclonal antibody therapy, Anti Her2 Mab conjugate therapies, Anti-Her2 tyrosine kinase inhibitors |
| | 16 (8.7%) | BRAF inhibitors |
| | 9 (4.9%) | |
| High HRD score (>55) | 1 (0.5%) | Platinum salts, PARP inhibitors |
| Moderate HRD score (42-55) | 7 (3.8%) | |
| ER positivity | 14 (10.6%) | Anti-estrogens, CDK4/6 inhibition |
| Mismatch repair deficiency | 1 (0.5%) | Immune checkpoint inhibitors |
| 167 (90.8%) | ||
| | 118, 3 (65.8%) | Broad spectrum RAS/RAF inhibition, MEK inhibition |
| | 90 (48.9%) | Mutant p53 reactivators |
| | 21 (11.4%) | FZD inhibition, PORCN inhibitors |
| | 19 (10.3%) | Epigenetic modifiers (e.g. BET inhibitors, EZH2 inhibitors), ATR inhibitors |
| | 15,2 (9.2%) | PI3-kinase inhibitors, AKT inhibitors |
| | 8 (4.3%) | Anti-Her2 tyrosine kinase inhibitors, anti-Her3 Mab conjugate therapies |
| | 82 (44.6%) | |
| | 30 (16.3%) |
Mutation data denominator = 184; copy number denominator = 191.
Fig. 3.Clinical pathway for therapy choice in MOC. We suggest that high-risk disease (grade 3/advanced stage/infiltrative subtype) should be pre-emptively tested for genomic events using a suitable panel method, since these are unlikely to respond completely to the adjuvant chemotherapy that will be offered while genomic testing is performed. On recurrence of non-high risk disease, genomic testing should also be performed, preferably on recurrence tumor tissue if this is available through surgical debulking or biopsy. If not, primary tumor tissue could be used. ER, estrogen receptor; HRD, homologous recombination deficiency; TMB, tumor mutational burden; “i”, inhibitor. TKi, tyrosine kinase inhibitor.