Impact of Heat on Coil Hydrodynamic Size Yields the Energetics of Denatured State Conformational Bias.

Conformational equilibria in the protein denatured state have key roles regulating folding, stability, and function. The extent of conformational bias in the protein denatured state under folding conditions, however, has thus far proven elusive to quantify, particularly with regard to its sequence dependence and energetic character. To better understand the structural preferences of the denatured state, we analyzed both the sequence dependence to the mean hydrodynamic size of disordered proteins in water and the impact of heat on the coil dimensions, showing that the sequence dependence and thermodynamic energies associated with intrinsic biases for the α and polyproline II (PPII) backbone conformations can be obtained. Experiments that evaluate how the hydrodynamic size changes with compositional changes in the protein reveal amino acid specific preferences for PPII that are in good quantitative agreement with calorimetry-measured values from unfolded peptides and those inferred by survey of the protein coil library. At temperatures above 25 °C, the denatured state follows the predictions of a PPII-dominant ensemble. Heat effects on coil hydrodynamic size indicate the α bias is comparable to the PPII bias at cold temperatures. Though historically thought to give poor resolution to structural details, the hydrodynamic size of the unfolded state is found to be an effective reporter on the extent of the biases for the α and PPII backbone conformations.

Mitotic count by phosphohistone H3 immunohistochemical staining predicts survival and improves interobserver reproducibility in well-differentiated neuroendocrine tumors of the pancreas.

Well-differentiated neuroendocrine tumors (WDNETs) of the pancreas are graded on the basis of mitotic count or Ki67 index. Mitotic count has a narrow cutoff; its assessment is time consuming and carries poor interobserver reproducibility. Phosphohistone H3 (PHH3) is a mitosis-specific marker whose value has been validated in several tumor types. We sought to assess the utility of PHH3 in histologic grading of pancreatic WDNETs. Sixty-three cases of surgically resected primary pancreatic WDNETs were retrieved, and immunohistochemical analysis for PHH3 and Ki67 was performed. Mitotic rate was independently assessed by 4 pathologists on hematoxylin and eosin (HE; in 50 high-power fields [HPFs], expressed as mitoses/10 HPF) and PHH3 stains (in 50 HPFs, one 10×, and one 20× hotspot). PHH3 and Ki67 labeling indices were determined on a single 20× hotspot and expressed as the percentage of positive cells to total cells. We found that mitotic counts by various methods significantly correlated with each other and also with PHH3 and Ki67 indices, with the best correlation seen within the 3 different PHH3 counts (in 50 HPFs, one 10× and one 20× hotspot). Moreover, mitotic count on PHH3 was less time consuming than that on HE (1.68 vs. 3.67 min for 50 HPFs, P<0.0001). Histologic grade determined by PHH3 significantly correlated with disease-specific and disease-free survivals, with the best cutoffs of ≥4 mitoses/10 HPF (2 mm), ≥7 mitoses/10× hotspot, ≥5 mitoses/20× hotspot (log rank test, P<0.0001), and ≥0.16% for PHH3 labeling index (log rank test, P<0.0006). Tumor grades based on PHH3 stain also showed significant correlation with patient survivals in multivariate Cox proportional hazards models (P<0.05). Histologic grades by mitotic counts on PHH3 demonstrated high concordance and κ agreement with grades determined by mitotic count on HE. PHH3 stain also showed improved interobserver agreement in both original mitotic count (intraclass correlation 0.98 vs. 0.79) and final grade assignment (Fleiss κ 0.69 vs. 0.46) as compared with HE. Thus, our data confirmed that histologic grading by PHH3 stain has practical and prognostic values and offers reduced time and improved interobserver reproducibility in mitotic rate assessment and grade assignment. Although larger series are needed for validation, mitotic rate can potentially be determined by counting 1 hotspot, which will greatly facilitate the assessment of histologic grade in pancreatic WDNETs.