| Literature DB >> 28550065 |
Christine A Parachoniak1, Andrew Rankin1, Bernadette Gaffney1, Ryan Hartmaier1, Dan Spritz1, Rachel L Erlich1, Vincent A Miller1, Deborah Morosini1, Phil Stephens1, Jeffrey S Ross1,2, John Keech3, Juliann Chmielecki1.
Abstract
Metastatic triple-negative breast cancer comprises 12%-17% of breast cancers and carries a poor prognosis relative to other breast cancer subtypes. Treatment options in this disease are largely limited to systemic chemotherapy. A majority of clinical studies assessing efficacy of targeted therapeutics (e.g., the mammalian target of rapamycin [mTOR] inhibitor everolimus) in advanced breast cancer patients have not utilized predictive genomic biomarker-based selection and have reported only modest improvement in the clinical outcome relative to standard of care. However, recent reports have highlighted significant clinical responses of breast malignancies harboring alterations in genes involved in the phosphoinositide 3-kinase (PI3K)/AKT/mTOR signaling pathway to mTOR-inhibitor-involving regimens, underscoring the potential clinical benefit of treating subsets of breast cancer patients with molecularly matched targeted therapies. As the paradigm of cancer treatment shifts from chemotherapeutic regimens to more personalized approaches, the identification of additional reliable biomarkers is essential for identifying patients likely to derive maximum benefit from targeted therapies. Herein, we report a near-complete and ongoing 14-mo response to everolimus therapy of a heavily pretreated patient with biphenotypic, metastatic breast cancer. Genomic profiling of the metastatic triple-negative liver specimen identified a single reportable point mutation, STK11 F354L, that appears to have undergone loss of heterozygosity. No other alterations within the PI3K/mTOR pathway were observed. Published functional biochemical data on this variant are conflicting, and germline data, albeit with unclear zygosity status, are suggestive of a benign polymorphism role. Together with the preclinical data, this case suggests further investigation of this variant is warranted to better understand its role as a potential biomarker for mTOR inhibitor sensitivity in the appropriate clinical context.Entities:
Keywords: neoplasm of the breast
Mesh:
Substances:
Year: 2017 PMID: 28550065 PMCID: PMC5593157 DOI: 10.1101/mcs.a000778
Source DB: PubMed Journal: Cold Spring Harb Mol Case Stud ISSN: 2373-2873
Figure 1.Schematic of clinical course indicating treatment, duration, and disease recurrence. ER, estrogen receptor; PR, progesterone receptor; CMF, cyclophosphamide, methotrexate, and fluorouracil.
Variant table
| Gene | Chr. | HGVS DNA reference | HGVS protein reference | Variant type | Predicted effect | dbSNP ID | Genotype | Mutant allele frequency (%) | Depth |
|---|---|---|---|---|---|---|---|---|---|
| Chr 19 | c.1062C>G | p.F354L | Substitution | Deleterious | rs59912467 | het | 55 | 910 |
HGVS, Human Genome Variation Society; dbSNP, Single Nucleotide Polymorphism database; het, heterozygous.
Sequence coverage table
| Total reads | Total mapped reads | Target exon coverage (mean) | Target exon coverage at STK11 (mean) |
|---|---|---|---|
| 53,749,710 | 53,010,181 (98.6%) | 694.97 | 756.3 |
Summary of phosphoinositide 3-kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) pathway genes analyzed
| Function | Gene | Alteration detected? (N/Y) |
|---|---|---|
| mTORC1/2 complex | N | |
| mTORC 1/2 complex | N | |
| mTORC1/2 complex | N | |
| mTORC-positive regulation | N | |
| mTORC1-positive regulation | N | |
| mTORC1-positive regulation | N | |
| mTORC1-positive regulation | N | |
| mTORC1-positive regulation | N | |
| PI3K pathway | N | |
| PI3K pathway | N | |
| mTORC1-positive regulation | N | |
| PI3K pathway | N | |
| mTORC1-negative regulation | N | |
| mTORC1-negative regulation | N | |
| mTORC1-negative regulation | N | |
| mTORC2-negative regulation | Y | |
| mTORC2-negative regulation | N | |
| mTORC2-negative regulation | N | |
| mTOR downstream regulator | N |
Figure 2.(A) Copy-number alteration plot of analyzed tumor sample sequenced. Chromosome numbers are annotated along the horizontal axis. Copy-number modeling from next-generation sequencing data was performed using established algorithms (see Methods). Log ratio values are noted on the left vertical axis; copy number (CN) for each region is noted on the right vertical axis. The region corresponding to STK11 is circled. (B) Chromosome 19 CN (left) and variant allele frequency (right) are enlarged. The region containing STK11 shows a CN of 1 with a corresponding drop in single-nucleotide polymorphism (SNP) allele frequencies, a signature of loss of heterozygosity.
Figure 3.Representative positron emission tomography (PET)–computed tomography (CT) images (A) pre- and (B) posteverolimus treatment.
Figure 4.Serum levels of (A) alkaline phosphatase (ALP) and (B) cancer antigen 15-3 (CA15-3) during clinical course of treatment.