Protein kinases undergo large-scale structural changes that tightly regulate function and control recognition by small-molecule inhibitors. Methods for quantifying the conformational effects of ...inhibitors and linking them to an understanding of selectivity patterns have long been elusive. We have developed an ultrafast time-resolved fluorescence methodology that tracks structural movements of the kinase activation loop in solution with angstrom-level precision, and can resolve multiple structural states and quantify conformational shifts between states. Profiling a panel of clinically relevant Aurora kinase inhibitors against the mitotic kinase Aurora A revealed a wide range of conformational preferences, with all inhibitors promoting either the active DFG-in state or the inactive DFG-out state, but to widely differing extents. Remarkably, these conformational preferences explain broad patterns of inhibitor selectivity across different activation states of Aurora A, with DFG-out inhibitors preferentially binding Aurora A activated by phosphorylation on the activation loop, which dynamically samples the DFG-out state, and DFG-in inhibitors binding preferentially to Aurora A constrained in the DFG-in state by its allosteric activator Tpx2. The results suggest that many inhibitors currently in clinical development may be capable of differentiating between Aurora A signaling pathways implicated in normal mitotic control and in melanoma, neuroblastoma, and prostate cancer. The technology is applicable to a wide range of clinically important kinases and could provide a wealth of valuable structure–activity information for the development of inhibitors that exploit differences in conformational dynamics to achieve enhanced selectivity.
Over the past decade, our understanding of endometrial cancer has changed dramatically from the two-tiered clinicopathologic classification system of type I and type II endometrial cancer through to ...the four distinct molecular subtypes identified by The Cancer Genome Atlas (TCGA) in 2013. In both systems there is a small subset of endometrial cancers (serous histotype/high numbers of somatic copy number abnormalities) that account for a disproportionately high percentage of endometrial cancer related deaths. This subset can be identified in routine clinical practice by first identifying the approximately one-third of endometrial cancers that are either ultramutated/
mut tumors, with pathogenic mutations in the exonuclease domain of
, or hypermutated/MMRd tumors, with loss of DNA mismatch repair. Immunostaining for p53 stratifies the remaining endometrial cancers into those with wild-type staining pattern and those with mutant pattern staining (p53abn endometrial cancer). This latter group of p53abn endometrial cancer is the subject of this review. Most p53abn endometrial cancers are serous type and high grade, but it also includes other histotypes and lower grade tumors, and has consistently been associated with the poorest clinical outcomes. Although it only accounts for 15% of all endometrial cancer cases, it is responsible for 50-70% of endometrial cancer mortality. A better understanding of the molecular alterations in the p53abn subgroup, beyond the ubiquitous and definitional
mutations, is required so we can identify better treatments for these most aggressive endometrial cancers. Recent evidence has shown improved survival outcomes with the addition of chemotherapy compared with radiation alone in p53abn endometrial cancers. Opportunities for targeted therapy for p53abn endometrial cancers also exist with a proportion of p53abn endometrial cancers known to have homologous recombination deficiency (HRD) or human epidermal growth factor 2 (HER2) overexpression/amplification. This review will provide an overview of our current understanding of p53abn endometrial cancer.
The role of lymph node assessment/dissection (LND) in endometrial cancer (EC) has been debated for decades, with significant practice variation between centers. Molecular classification of EC ...provides prognostic information and can be accurately performed on preoperative endometrial biopsies. We assessed the association between molecular subtype and lymph node metastases (LNM) in order to determine if this tool could be used to stratify surgical decision making.
All EC patients undergoing primary staging surgery with planned complete pelvic +/− para-aortic LND from a single institution in the 2015 calendar year were identified, with clinicopathological and outcome data assessed in the context of retrospectively assigned molecular classification.
172 patients were included. Molecular classification of the total cohort showed 21 POLEmut (12.2%), 47 MMRd (27.3%), 74 NSMP (43.1%), and 30 p53abn (17.4%) ECs. Complete pelvic +/− para-aortic LND was performed in 171 of 172 patients, and LNM were found in 31/171 (18.1%). This included macrometastases (19/31), micrometastases (5/31), and isolated tumour cells (ITCs) (7/31). LNM were pelvic only in 83.9%, and pelvic plus para-aortic in 16.1%. There were no isolated para-aortic LNM. Molecular subtype was significantly associated with LNM (p = 0.004). There was a strong association between the presence of LNM and p53abn EC (nodal involvement in 44.8% of cases), with LNM detected in 14.2% of POLEmut, 14.9% of MMRd, and 10.8% of NSMP EC. On multivariate analysis, molecular subtype and preoperative CA 125 > 25 were significantly associated with LNM (p = 0.021 and p = 0.022 respectively) but preoperative grade and histotype were not (p = 0.24).
EC molecular subtype is significantly associated with the presence of LNM. As molecular classification can be obtained on preoperative diagnostic specimens, this information can be used to guide surgical treatment planning and may reduce the cost and morbidity of unnecessary lymph node staging in EC care.
•Molecular classification in EC was significantly associated with lymph node metastases (LNM).•Molecular subtype was a stronger predictor of LNM compared to preoperative grade and histotype on multivariate analysis.•Nearly half of patients with p53abn EC (44.8%) had lymph node metastases.•Molecular classification can be obtained on preoperative biopsies and can be used to guide surgical decision making.•Outcomes in patients with ITCs were equivalent to node negative patients.
To determine whether the DCTclock can detect differences across groups of patients seen in the memory clinic for suspected dementia.
Patients (
= 123) were classified into the following groups: ...cognitively normal (CN), subtle cognitive impairment (SbCI), amnestic cognitive impairment (aMCI), and mixed/dysexecutive cognitive impairment (mx/dysMCI). Nine outcome variables included a combined command/copy total score and four command and four copy indices measuring drawing efficiency, simple/complex motor operations, information processing speed, and spatial reasoning.
Total combined command/copy score distinguished between groups in all comparisons with medium to large effects. The mx/dysMCI group had the lowest total combined command/copy scores out of all groups. The mx/dysMCI group scored lower than the CN group on all command indices (
< .050, all analyses); and lower than the SbCI group on drawing efficiency (
= .011). The aMCI group scored lower than the CN group on spatial reasoning (
= .019). Smaller effect sizes were obtained for the four copy indices.
These results suggest that DCTclock command/copy parameters can dissociate CN, SbCI, and MCI subtypes. The larger effect sizes for command clock indices suggest these metrics are sensitive in detecting early cognitive decline. Additional research with a larger sample is warranted.
Endometrial carcinoma (EC) can be divided into 4 prognostic molecular subtypes, and no specific molecular profile (NSMP) type is the most commonly occurring type (∼50%). Although described as having ...an intermediate to favorable prognosis, this subtype encompasses pathologically and molecularly diverse tumors. We aimed to identify factors associated with outcomes within the NSMP ECs that might be used to stratify prognosis and direct treatment. Clinicopathologic, immunohistochemical, and genetic features of a large series of NSMP EC were used to identify parameters that could identify the subset associated with a very favorable outcome (disease-specific death rate <5% at 5 years, termed low-risk NSMP). A total of 1110 NSMP ECs were profiled. In a univariate analysis, stage, grade, lymphovascular invasion, estrogen receptor (ER) and progesterone receptor (PR) expression, L1CAM overexpression, and mutations in PIK3CA were associated with disease-specific survival. Two critical features, grade and ER expression, identified a low-risk NSMP subset (grade 1-2, ER-positive >1%, 84% of cases), which showed a 5-year disease-specific death rate of 1.6% across all stages and 1.4% within stage I. The remaining cases (high-risk NSMPs, grade 3, and/or ER-negative status) were responsible for most of the disease-specific deaths (disease-specific death rate at 5 years, 22.9%; hazard ratio compared with that of low-risk NSMPs: 16.3; 95% CI, 8.4-31.7). Within NSMP EC, the low-risk and high-risk categories were of prognostic significance independent of the stage on a multivariate analysis. Low-grade and ER-positive NSMP ECs are a homogeneous low-risk group associated with an exceptionally favorable prognosis in which de-escalation and/or endocrine therapy strategies can be applied. Grade 3 and/or ER-negative status identifies a high-risk NSMP subset, including rare high-grade histotypes (eg, clear cell, dedifferentiated, and mesonephric-like), responsible for most NSMP-related deaths. Subclassification of NSMPs allows for the category of low-risk EC molecular subtypes to be dramatically expanded because it now includes both POLEmut and the much more common low-risk NSMP EC.
The significance of subclonal expression of p53 (abrupt transition from wild-type to mutant-pattern staining) is not well understood, and the arbitrary diagnostic cut-off of 10% between NSMP and ...p53abn molecular subtypes of endometrial carcinoma (EC) has not been critically assessed. Our aim was to characterise subclonal p53 and discrepant p53 expression/TP53 sequencing results in EC and assess their clinical significance.
Subclonal p53 immuostaining on whole sections from 957 ECs was recorded. Agreement between TP53 mutational assessment and p53 immunostaining was evaluated. Subclonal p53 IHC staining was seen in 4.0% (38 of 957) of cases, with 23 of 957 (2.4%) showing mutant-pattern p53 staining in ≥10% of tumour cells. It was most commonly seen in POLEmut (nine of 65, 14%) and MMRd (13 of 274, 4.7%) EC ('multiple classifier' ECs), where subclonal p53 staining does not impact the molecular subtype diagnosis. Excluding POLEmut and MMRd EC, 11 of 957 (1.1%) showed ≥10% subclonal p53 from which four patients died of disease, while there were no deaths due to disease in the five patients with <10% mutant-pattern p53 staining. Agreement between p53 immunostaining and TP53 sequencing was 92.6%; most of the discrepant results were in the ultramutated POLEmut or hypermutated MMRd ECs. In NSMP and p53abn EC the agreement between IHC and sequencing was 95.8%.
Subclonal p53 staining ≥10% is present in only 1.1% of EC after excluding 'multiple classifier' ECs. The cut-off of ≥10% subclonal p53 staining identified patients at increased risk of dying from EC, supporting its use to diagnose p53abn molecular subtype.
Many eukaryotic protein kinases are activated by phosphorylation on a specific conserved residue in the regulatory activation loop, a post-translational modification thought to stabilize the active ...DFG-In state of the catalytic domain. Here we use a battery of spectroscopic methods that track different catalytic elements of the kinase domain to show that the ~100 fold activation of the mitotic kinase Aurora A (AurA) by phosphorylation occurs without a population shift from the DFG-Out to the DFG-In state, and that the activation loop of the activated kinase remains highly dynamic. Instead, molecular dynamics simulations and electron paramagnetic resonance experiments show that phosphorylation triggers a switch within the DFG-In subpopulation from an autoinhibited DFG-In substate to an active DFG-In substate, leading to catalytic activation. This mechanism raises new questions about the functional role of the DFG-Out state in protein kinases.
We measured the variation in practice across all aspects of endometrial cancer (EC) management and assessed the potential impact of implementation of molecular classification.
Centers from across ...Canada provided representative tumor samples and clinical data, including preoperative workup, operative management, hereditary cancer program (HCP) referrals, adjuvant therapy, surveillance and outcomes, for all EC patients diagnosed in 2016. Tumors were classified into the four ProMisE molecular subtypes.
A total of 1336 fully evaluable EC patients were identified from 10 tertiary cancer centers (TC; n = 1022) and 19 community centers (CC; n = 314). Variation of surgical practice across TCs was profound (14–100%) for lymphadenectomy (LND) (mean 57% Gr1/2, 82% Gr3) and omental sampling (20% Gr1/2, 79% Gr3). Preoperative CT scans were inconsistently obtained (mean 32% Gr1/2, 51% Gr3) and use of adjuvant chemo or chemoRT in high risk EC ranged from 0–55% and 64–100%, respectively. Molecular subtyping was performed retrospectively and identified 6% POLEmut, 28% MMRd, 48% NSMP and 18% p53abn ECs, and was significantly associated with survival. Within patients retrospectively diagnosed with MMRd EC only 22% had been referred to HCP. Of patients with p53abn EC, LND and omental sampling was not performed in 21% and 23% respectively, and 41% received no chemotherapy. Comparison of management in 2016 with current 2020 ESGO/ESTRO/ESP guidelines identified at least 26 and 95 patients that would have been directed to less or more adjuvant therapy, respectively (10% of cohort).
Molecular classification has the potential to mitigate the profound variation in practice demonstrated in current EC care, enabling reproducible risk assessment, guiding treatment and reducing health care disparities.
•Characterization of National practice in EC reveals profound variation in workup, surgery, treatment, and genetic testing.•Molecular classification identified missed opportunities for EC patients managed by traditional risk stratification.•Both overtreatment (POLEmut given adjuvant therapy) and undertreatment (p53abn not given chemo or any therapy) were exposed.•Only 22% retrospectively identified MMRd ECs had been referred for genetic testing with <4% confirmed to have Lynch Syndrome.•Molecular classification can objectively categorize ECs, direct treatment, and has the potential to reduce practice variation and disparities.
There is emerging evidence that vulvar squamous cell carcinoma (VSCC) can be prognostically subclassified into 3 groups based on human papillomavirus (HPV) and p53 status: HPV-associated (HPV+), ...HPV-independent/p53 wild-type (HPV-/p53wt), or HPV-independent/p53 abnormal (HPV-/p53abn). Our goal was to assess the feasibility of separating VSCC and its precursors into these 3 groups using p16 and p53 immunohistochemistry (IHC). A tissue microarray containing 225 VSCC, 43 usual vulvar intraepithelial neoplasia (uVIN/HSIL), 10 verruciform acanthotic vulvar intraepithelial neoplasia (vaVIN), and 34 differentiated VIN (dVIN), was stained for p16 and p53. Noncomplementary p16 and p53 patterns were resolved by repeating p53 IHC and HPV RNA in situ hybridization (ISH) on whole sections, and sequencing for TP53. Of 82 p16-positive VSCC, 73 (89%) had complementary p16 and p53 patterns and were classified into the HPV+ group, 4 (4.9%) had wild-type p53 staining, positive HPV ISH and were classified into the HPV+ group, whereas 5 (6.1%) had p53 abnormal IHC patterns (1 null, 4 overexpression), negativity for HPV ISH, and harbored TP53 mutations (1 splice site, 4 missense); they were classified as HPV-/p53abn. Of 143 p16-negative VSCC, 142 (99.3%) had complementary p53 and p16 patterns: 115 (80.4%) HPV-/p53abn and 27 (18.9%) HPV-/p53wt. One had a basal-sparing p53 pattern, positivity for HPV ISH and was negative for TP53 mutations-HPV+ category. The use of IHC also led to revised diagnoses-HSIL to dVIN (3/43), dVIN to vaVIN (8/34), and dVIN to HSIL (3/34). Overall, 215/225 VSCC (95.6%) could be easily classifiable into 3 groups with p16 and p53 IHC. We identified several caveats, with the major caveat being that "double-positive" p16/p53 should be classified as HPV-/p53abn. We propose an algorithm that will facilitate the application of p16 and p53 IHC to classify VSCC in pathology practice.
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