Prediction of tissue-of-origin of early stage cancers using serum miRNomes.

BACKGROUND: Noninvasive detection of early stage cancers with accurate prediction of tumor tissue-of-origin could improve patient prognosis. Because miRNA profiles differ between organs, circulating miRNomics represent a promising method for early detection of cancers, but this has not been shown conclusively. METHODS: A serum miRNA profile (miRNomes)-based classifier was evaluated for its ability to discriminate cancer types using advanced machine learning. The training set comprised 7931 serum samples from patients with 13 types of solid cancers and 5013 noncancer samples. The validation set consisted of 1990 cancer and 1256 noncancer samples. The contribution of each miRNA to the cancer-type classification was evaluated, and those with a high contribution were identified. RESULTS: Cancer type was predicted with an accuracy of 0.88 (95% confidence interval [CI] = 0.87 to 0.90) in all stages and an accuracy of 0.90 (95% CI = 0.88 to 0.91) in resectable stages (stages 0-II). The F1 score for the discrimination of the 13 cancer types was 0.93. Optimal classification performance was achieved with at least 100 miRNAs that contributed the strongest to accurate prediction of cancer type. Assessment of tissue expression patterns of these miRNAs suggested that miRNAs secreted from the tumor environment could be used to establish cancer type-specific serum miRNomes. CONCLUSIONS: This study demonstrates that large-scale serum miRNomics in combination with machine learning could lead to the development of a blood-based cancer classification system. Further investigations of the regulating mechanisms of the miRNAs that contributed strongly to accurate prediction of cancer type could pave the way for the clinical use of circulating miRNA diagnostics.

Machine learning-based exceptional response prediction of nivolumab monotherapy with circulating microRNAs in non-small cell lung cancer.

Immune checkpoint inhibitors (ICIs) have significantly improved the survival of advanced non-small cell lung cancer (NSCLC). Detecting NSCLC patients with exceptional response to ICIs is necessary to improve the treatment. This case control study profiled circulating microRNA expressions of 213 NSCLC patients treated with nivolumab monotherapy to identify patients with exceptional response. Based on the response and progression-free survival, patients were divided into 3 groups: Exceptional-responder (n = 27), Resistance (n = 161), and Others (n = 25). Resistance group was further randomly partitioned into six non-overlapping sets (n = 26 or 27), while each partition was combined with Exceptional-responder and Others to make balanced datasets. We built machine learning models optimized for identifying Exceptional-responder via 3-group classification and constructed a panel of 45 microRNAs and 3 fields of clinical information. Machine learning models based on the selected panel achieved 0.81-0.89 (median 0.85) sensitivity and 0.52-0.71 (median 0.59) precision for Exceptional-responder in 3-group classification with 5-fold cross validation in all six datasets constructed, while conventional method relying on tumor PD-L1 immunohistochemistry achieved 0.44-0.44 sensitivity and 0.55-0.67 (median 0.62) precision. This study demonstrated the machine learning models achieved much higher sensitivity and accuracy in identifying Exceptional-responder to nivolumab monotherapy when comparing to conventional method only using companion PD-L1 testing.

Derivation of simple rules for complex flow vector fields on the lower part of the human face for robot face design.

It is quite difficult for android robots to replicate the numerous and various types of human facial expressions owing to limitations in terms of space, mechanisms, and materials. This situation could be improved with greater knowledge regarding these expressions and their deformation rules, i.e. by using the biomimetic approach. In a previous study, we investigated 16 facial deformation patterns and found that each facial point moves almost only in its own principal direction and different deformation patterns are created with different combinations of moving lengths. However, the replication errors caused by moving each control point of a face in only their principal direction were not evaluated for each deformation pattern at that time. Therefore, we calculated the replication errors in this study using the second principal component scores of the 16 sets of flow vectors at each point on the face. More than 60% of the errors were within 1 mm, and approximately 90% of them were within 3 mm. The average error was 1.1 mm. These results indicate that robots can replicate the 16 investigated facial expressions with errors within 3 mm and 1 mm for about 90% and 60% of the vectors, respectively, even if each point on the robot face moves in only its own principal direction. This finding seems promising for the development of robots capable of showing various facial expressions because significantly fewer types of movements than previously predicted are necessary.

Identification of a function-specific mutation of clathrin heavy chain (CHC) required for p53 transactivation.

The p53 pathway is activated in response to various cellular stresses to protect cells from malignant transformation. We have previously shown that clathrin heavy chain (CHC), which is a cytosolic protein regulating endocytosis, is present in nuclei and binds to p53 to promote p53-mediated transcription. However, details of the binding interface between p53 and CHC remain unclear. Here, we report on the binding mode between p53 and CHC using mutation analyses and a structural model of the interaction generated by molecular dynamics. Structural modeling analyses predict that an Asn1288 residue in CHC is crucial for binding to p53. In fact, substitution of this Asn to Ala of CHC diminished its ability to interact with p53, leading to reduced activity to transactivate p53. Surprisingly, this mutation had little effect on receptor-mediated endocytosis. Thus, the function-specific mutation of CHC will clarify physiological roles of CHC in the regulation of the p53 pathway.

FAK nuclear export signal sequences.

Ubiquitously expressed focal adhesion kinase (FAK), a critical component in transducing signals from sites of cell contacts with extracellular matrix, was named after its typical localization in focal adhesions. A nuclear localization of FAK has been also reported and its scaffolding role in nucleus and requirement for p53 ubiquitination were only recently described. Whereas FAK nuclear localization signal (NLS) was found in F2 lobe of FERM domain, nuclear export signal (NES) sequences have not been yet determined. Here we demonstrate that FAK has two NES sequences, NES1 in F1 lobe of FERM domain and NES2 in kinase domain. Although, both NES1 and NES2 are evolutionary conserved, and present as well in FAK-related protein kinase Pyk2, only NES2 demonstrates full biological nuclear export activity.

Novel binding sites on clathrin and adaptors regulate distinct aspects of coat assembly.

Clathrin-coated vesicles (CCVs) sort proteins at the plasma membrane, endosomes and trans Golgi network for multiple membrane traffic pathways. Clathrin recruitment to membranes and its self-assembly into a polyhedral coat depends on adaptor molecules, which interact with membrane-associated vesicle cargo. To determine how adaptors induce clathrin recruitment and assembly, we mapped novel interaction sites between these coat components. A site in the ankle domain of the clathrin triskelion leg was identified that binds a common site on the appendages of tetrameric [AP1 and AP2] and monomeric (GGA1) adaptors. Mutagenesis and modeling studies suggested that the clathrin-GGA1 appendage interface is nonlinear, unlike other peptide-appendage interactions, but overlaps with a sandwich domain binding site for accessory protein peptides, allowing for competitive regulation of coated vesicle formation. A novel clathrin box in the GGA1 hinge region was also identified and shown to mediate membrane recruitment of clathrin, while disruption of the clathrin-GGA1 appendage interaction did not affect recruitment. Thus, the distinct sites for clathrin-adaptor interactions perform distinct functions, revealing new aspects to regulation of CCV formation.

Intramolecular signaling pathways revealed by modeling anisotropic thermal diffusion.

A variety of experimental evidence suggests that rapid, long-range propagation of conformational changes through the core of proteins plays a vital role in allosteric communication. Here, we describe a non-equilibrium molecular dynamics simulation method, anisotropic thermal diffusion (ATD), which allowed us to observe a dominant intramolecular signaling pathway in PSD-95, a member of the PDZ domain protein family. The observed pathway is in good accordance with a pathway previously inferred using a multiple sequence analysis of 276 PDZ domain proteins. In comparison with conventional solution molecular dynamics methods, the ATD method provides greatly enhanced signal-to-noise, allowing long-distance correlations to be observed clearly. The ATD method requires neither a large number of homologous proteins, nor extremely long simulation times to obtain a complete signaling pathway within a protein. Therefore, the ATD method should prove to be a powerful and general complement to experimental efforts to understand the physical basis of intramolecular signaling.

The 0.83 A resolution crystal structure of alpha-lytic protease reveals the detailed structure of the active site and identifies a source of conformational strain.

The crystal structure of the extracellular bacterial serine protease alpha-lytic protease (alphaLP) has been solved at 0.83 A resolution at pH 8. This ultra-high resolution structure allows accurate analysis of structural elements not possible with previous structures. Hydrogen atoms are visible, and confirm active-site hydrogen-bonding interactions expected for the apo enzyme. In particular, His57 N(delta1) participates in a normal hydrogen bond with Asp102 in the catalytic triad, with a hydrogen atom visible 0.83(+/-0.06)A from the His N(delta1). The catalytic Ser195 occupies two conformations, one corresponding to a population of His57 that is doubly protonated, the other to the singly protonated His57. Based on the occupancy of these conformations, the pKa of His57 is calculated to be approximately 8.8 when a sulfate ion occupies the active site. This 0.83 A structure has allowed critical analysis of geometric distortions within the structure. Interestingly, Phe228 is significantly distorted from planarity. The distortion of Phe228, buried in the core of the C-terminal domain, occurs at an estimated energetic cost of 4.1 kcal/mol. The conformational space for Phe228 is severely limited by the presence of Trp199, which prevents Phe228 from adopting the rotamer observed in many other chymotrypsin family members. In alphaLP, the only allowed rotamer leads to the deformation of Phe228 due to steric interactions with Thr181. We hypothesize that tight packing of co-evolved residues in this region, and the subsequent deformation of Phe228, contributes to the high cooperativity and large energetic barriers for folding and unfolding of alphaLP. The kinetic stability imparted by the large, cooperative unfolding barrier plays a critical role in extending the lifetime of the protease in its harsh environment.

Clathrin light and heavy chain interface: alpha-helix binding superhelix loops via critical tryptophans.

Clathrin light chain subunits (LCa and LCb) contribute to regulation of coated vesicle formation to sort proteins during receptor-mediated endocytosis and organelle biogenesis. LC binding to clathrin heavy chain (HC) was characterized by genetic and structural approaches. The core interactions were mapped to HC residues 1267-1522 (out of 1675) and LCb residues 90-157 (out of 228), using yeast two-hybrid assays. The C-termini of both subunits also displayed interactions extending beyond the core domains. Mutations to helix breakers within the LCb core disrupted HC association. Further suppressor mutagenesis uncovered compensatory mutations in HC (K1415E or K1326E) capable of rescuing the binding defects of LCb mutations W127R or W105R plus W138R, thereby pinpointing contacts between HC and LCb. Mutant HC K1415E also rescued loss of binding by LCa W130R, indicating that both LCs interact similarly with HC. Based on circular dichroism data, mapping and mutagenesis, LCa and LCb were represented as alpha-helices, aligned along the HC and, using molecular dynamics, a structural model of their interaction was generated with novel implications for LC control of clathrin assembly.