A Multiparameter Molecular Classifier to Predict Response to Neoadjuvant Lapatinib plus Trastuzumab without Chemotherapy in HER2+ Breast Cancer.

PURPOSE: Clinical trials reported 25% to 30% pathologic complete response (pCR) rates in HER2+ patients with breast cancer treated with anti-HER2 therapies without chemotherapy. We hypothesize that a multiparameter classifier can identify patients with HER2-"addicted" tumors who may benefit from a chemotherapy-sparing strategy. EXPERIMENTAL DESIGN: Baseline HER2+ breast cancer specimens from the TBCRC023 and PAMELA trials, which included neoadjuvant treatment with lapatinib and trastuzumab, were used. In the case of estrogen receptor-positive (ER+) tumors, endocrine therapy was also administered. HER2 protein and gene amplification (ratio), HER2-enriched (HER2-E), and PIK3CA mutation status were assessed by dual gene protein assay (GPA), research-based PAM50, and targeted DNA-sequencing. GPA cutoffs and classifier of response were constructed in TBCRC023 using a decision tree algorithm, then validated in PAMELA. RESULTS: In TBCRC023, 72 breast cancer specimens had GPA, PAM50, and sequencing data, of which 15 had pCR. Recursive partitioning identified cutoffs of HER2 ratio ≥ 4.6 and %3+ IHC staining ≥ 97.5%. With PAM50 and sequencing data, the model added HER2-E and PIK3CA wild-type (WT). For clinical implementation, the classifier was locked as HER2 ratio ≥ 4.5, %3+ IHC staining ≥ 90%, and PIK3CA-WT and HER2-E, yielding 55% and 94% positive (PPV) and negative (NPV) predictive values, respectively. Independent validation using 44 PAMELA cases with all three biomarkers yielded 47% PPV and 82% NPV. Importantly, our classifier's high NPV signifies its strength in accurately identifying patients who may not be good candidates for treatment deescalation. CONCLUSIONS: Our multiparameter classifier differentially identifies patients who may benefit from HER2-targeted therapy alone from those who need chemotherapy and predicts pCR to anti-HER2 therapy alone comparable with chemotherapy plus dual anti-HER2 therapy in unselected patients.

Conventional histological and cytological staining with simultaneous immunohistochemistry enabled by invisible chromogens.

Conventional histological stains, such as hematoxylin plus eosin (H&E), and immunohistochemistry (IHC) are mainstays of histology that provide complementary diagnostic information. H&E and IHC currently require separate slides, because the stains would otherwise obscure one another. This consumes small specimen, limiting the total amount of testing. Additionally, performing H&E and IHC on different slides does not permit comparison of staining at the single cell level, since the same cells are not present on each slide, and alignment of tissue features can be problematic due to changes in tissue landscape with sectioning. We have solved these problems by performing conventional staining and IHC on the same slide using invisible IHC chromogens, such that the chromogens are not visible when viewing the conventional stain and the conventional stain is excluded from images of the IHC. Covalently deposited chromogens provided a convenient route to invisible chromogen design and are stable to reagents used in conventional staining. A dual-camera brightfield microscope system was developed that permits simultaneous viewing of both visible conventional stains and invisible IHC chromogens. Simultaneous staining was demonstrated on several formalin-fixed paraffin-embedded tissue specimens using single and duplex IHC, with chromogens that absorb ultraviolet and near infrared light, followed by H&E staining. The concept was extended to other conventional stains, including mucicarmine special stain and Papanicoulou stain, and further extended to cytology specimens. In addition to interactive video review, images were recorded using multispectral imaging and image processing to provide flexible production of color composite images and enable quantitative analysis.

The CERTAIN Study Results: Adjunctive p16 Immunohistochemistry Use in Cervical Biopsies According to LAST Criteria.

The Lower Anogenital Squamous Terminology (LAST) Project recommends the use of p16 immunohistochemistry as an adjunct to morphologic assessment of cervical biopsies according to a specific set of criteria. We analyzed the effect of adjunctive p16 according to LAST criteria in a US-based diagnostic utility study involving 70 surgical pathologists providing a total of 38,500 reads on cervical biopsies. Compared with the results obtained using hematoxylin and eosin-stained slides only, including p16-stained slides per LAST criteria increased sensitivity and specificity for diagnosing histologic high-grade squamous intraepithelial lesions across all cases by 8.1% (95% confidence interval [95% CI], 6.5-9.7; P<0.0001) and 3.5% (95% CI, 2.8-4.2; P<0.0001), respectively, using expert consensus diagnoses on hematoxylin and eosin+p16 as reference. Within the subset of cases classified by the pathologists as fulfilling the LAST criteria, adding p16 significantly increased both sensitivity (+11.8%; 95% CI, 9.5-14.0; P<0.0001) and specificity (+9.7%; 95% CI, 7.8-11.5; P<0.0001). However, a comparable improvement in sensitivity (+11.0%; 95% CI, 7.8-14.1; P<0.0001) was found when p16 was used in cases for which p16 staining was not ordered per LAST by the pathologists, whereas specificity decreased by -0.8% (95% CI, -1.1 to -0.5; P<0.0001). The study demonstrates a clinically and statistically significant increase in sensitivity and specificity for high-grade squamous intraepithelial lesion when p16 is used according to LAST criteria. Expanding the use of p16 into non-LAST cases would lead to a comparable improvement in sensitivity within this subgroup of biopsies, at the cost of a minimal, but statistically significant difference in specificity.

Routine Use of Adjunctive p16 Immunohistochemistry Improves Diagnostic Agreement of Cervical Biopsy Interpretation: Results From the CERTAIN Study.

The diagnosis of squamous intraepithelial lesions in cervical tissue specimens is subject to substantial variability. Adjunctive immunohistochemical (IHC) staining for p16 has been shown to add objective biomarker information to morphologic interpretation of hematoxylin and eosin (H&E)-stained tissues. In the CERvical Tissue AdjunctIve aNalysis (CERTAIN) study, we systematically analyzed the impact of adjunctive p16 IHC on the accuracy (agreement with reference pathology results) of diagnosing cervical intraepithelial neoplasia of grade 2 or worse (CIN2+) in the United States. Eleven hundred cervical biopsies were divided into 4 sets of 275 cases by stratified randomization. All H&E slides from each set were interpreted by 17 to 18 individual surgical pathologists, for a total of 19,250 reads by 70 surgical pathologists. After a wash-out period and blinding to original results, cases were re-read by the same pathologists using H&E+p16-stained slides. Using expert consensus diagnoses on H&E+p16 as reference, adjunctive p16 IHC use significantly improved diagnostic agreement of surgical pathologists by 4.7% (95% confidence interval [CI], 3.9, 5.4; P<0.0001). This improvement was driven by an increase of 11.5% (95% CI, 9.3, 13.5; P<0.0001) in sensitivity and an increase of 3.0% (95% CI, 2.2, 3.7; P<0.0001) in specificity. Diagnostic performance was significantly increased as well when expert consensus diagnoses established on H&E only was used as reference. Furthermore, interobserver reliability improved significantly from moderate (H&E: κ=0.58) to substantial (H&E+p16: κ=0.73; P<0.0001). Adjunctive use of p16 IHC provides more accurate and reproducible diagnostic results in the interpretation of cervical biopsies, ensuring that more patients are treated correctly without treating more patients.

Whole tumor section quantitative image analysis maximizes between-pathologists' reproducibility for clinical immunohistochemistry-based biomarkers.

Pathologists have had increasing responsibility for quantitating immunohistochemistry (IHC) biomarkers with the expectation of high between-reader reproducibility due to clinical decision-making especially for patient therapy. Digital imaging-based quantitation of IHC clinical slides offers a potential aid for improvement; however, its clinical adoption is limited potentially due to a conventional field-of-view annotation approach. In this study, we implemented a novel solely morphology-based whole tumor section annotation strategy to maximize image analysis quantitation results between readers. We first compare the field-of-view image analysis annotation approach to digital and manual-based modalities across multiple clinical studies (~120 cases per study) and biomarkers (ER, PR, HER2, Ki-67, and p53 IHC) and then compare a subset of the same cases (~40 cases each from the ER, PR, HER2, and Ki-67 studies) using whole tumor section annotation approach to understand incremental value of all modalities. Between-reader results for each biomarker in relation to conventional scoring modalities showed similar concordance as manual read: ER field-of-view image analysis: 95.3% (95% CI 92.0-98.2%) vs digital read: 92.0% (87.8-95.8%) vs manual read: 94.9% (91.4-97.8%); PR field-of-view image analysis: 94.1% (90.3-97.2%) vs digital read: 94.0% (90.2-97.1%) vs manual read: 94.4% (90.9-97.2%); Ki-67 field-of-view image analysis: 86.8% (82.1-91.4%) vs digital read: 76.6% (70.9-82.2%) vs manual read: 85.6% (80.4-90.4%); p53 field-of-view image analysis: 81.7% (76.4-86.8%) vs digital read: 80.6% (75.0-86.0%) vs manual read: 78.8% (72.2-83.3%); and HER2 field-of-view image analysis: 93.8% (90.0-97.2%) vs digital read: 91.0 (86.6-94.9%) vs manual read: 87.2% (82.1-91.9%). Subset implementation and analysis on the same cases using whole tumor section image analysis approach showed significant improvement between pathologists over field-of-view image analysis and manual read (HER2 100% (97-100%), P=0.013 field-of-view image analysis and 0.013 manual read; Ki-67 100% (96.9-100%), P=0.040 and 0.012; ER 98.3% (94.1-99.5%), p=0.232 and 0.181; and PR 96.6% (91.5-98.7%), p=0.012 and 0.257). Overall, whole tumor section image analysis significantly improves between-pathologist's reproducibility and is the optimal approach for clinical-based image analysis algorithms.

Validation of an electronic program for pathologist training in the interpretation of a complex companion diagnostic immunohistochemical assay.

Companion diagnostics assay interpretation can select patients with the greatest targeted therapy benefits. We present the results from a prospective study demonstrating that pathologists can effectively learn immunohistochemical assay-interpretation skills from digital image-based electronic training (e-training). In this study, e-training was used to train board-certified pathologists to evaluate non-small cell lung carcinoma for eligibility for treatment with onartuzumab, a MET-inhibiting agent. The training program mimicked the live training that was previously validated in clinical trials for onartuzumab. A digital interface was developed for pathologists to review high-resolution, static images of stained slides. Sixty-four pathologists practicing in the United States enrolled while blinded to the type of training. After training, both groups completed a mandatory final test using glass slides. The results indicated both training modalities to be effective. Overall, 80.6% of e-trainees and 72.7% of live trainees achieved passing scores (at least 85%) on the final test. All study participants reported that their training experience was "good" and that they had received sufficient information to determine the adequacy of case slide staining to score each case. This study established that an e-training program conducted under highly controlled conditions can provide pathologists with the skills necessary to interpret a complex assay and that these skills can be equivalent to those achieved with face-to-face training using conventional microscopy. Programs of this type are scalable for global distribution and offer pathologists the potential for readily accessible and robust training in new companion diagnostic assays linked to novel, targeted, adjuvant therapies for cancer patients.

Adjunctive HPV in-situ hybridization (ISH) assay as an aid in the diagnosis of cervical intraepithelial neoplasia in cervical tissue specimens: an analytical and functional characterization.

The purpose of this study was to develop and analytically and functionally validate a new human papillomavirus (HPV) in-situ hybridization (ISH) assay and to determine whether the use of this assay combined with hemotoxylin and eosin (H&E) staining could potentially improve the diagnostic accuracy of interpreting cervical intraepithelial neoplasia (CIN) in human cervical tissue specimens. An automated HPV ISH assay was developed using probes that targeted the broad spectrum of HPV genotypes most commonly associated with CIN. In an exploratory study, tissue sections (n=118) were stained with H&E alone and H&E with HPV ISH and evaluated by 6 general surgical pathologists. Results were compared with diagnoses established by expert pathologists on H&E alone. The change in specificity (diagnosis of no-CIN) and sensitivity (diagnosis of CIN) using H&E plus HPV versus H&E alone was determined. The HPV ISH assay detected 21 HPV genotypes and demonstrated no cross-reactivity to Epstein-Barr virus, cytomegalovirus, herpes simplex virus (HSV)-1, HSV-2, or human placental DNA. The assay detected HPV in a range of 1 to 600 copies on CaSki, HeLa, and SiHa xenografts. Use of this assay with H&E staining improved the average diagnostic specificity of the surgical pathologists from 68.5% to 89.9% (P<0.001), with fewer false-positive CIN 1 results (122 vs. 39). The diagnostic sensitivity was similar for assessments made with H&E alone and those made with HPV plus H&E (93.1% vs. 93.6%). In conclusion, a new automated broad-spectrum HPV ISH assay combined with H&E-stained slides contributed to better ascertainment of CIN than H&E staining alone.

Role of Foxp3-positive tumor-infiltrating lymphocytes in the histologic features and clinical outcomes of hepatocellular carcinoma.

The role of Foxp3-positive regulatory T cells (Foxp3 Tregs) in suppression of antitumoral immune response is well documented in patients with cancer. However, it is not known whether Foxp3 Tregs are associated with specific clinicopathologic characteristics of hepatocellular carcinoma (HCC). The aims of the present study were: (1) to investigate the relationship between Foxp3 Tregs and histologic differentiation, Edmondson-Steiner (ES) nuclear grade, vascular invasion, and pathologic stage of HCC in patients undergoing surgery for their disease; and (2) to evaluate any Foxp3 Treg-defined difference in the risk for tumor recurrence or death. The study sample included 131 histologic sections of HCC. The number of tumor-infiltrating CD3, CD8, and Foxp3 lymphocytes was assessed by immunohistochemistry. An increased Foxp3:CD3 ratio was associated with more poorly differentiated HCC (P=0.0016) and higher ES nuclear grade (P=0.0407). An increased Foxp3:CD8 ratio was also associated with poorer differentiation (P=0.0044), higher ES nuclear grade (P=0.0179), recurrence (P=0.0183), decreased overall survival (hazard ratio=1.153; 95% confidence interval, 1.019-1.304; P=0.0235), and decreased disease-free survival (hazard ratio=1.138; 95% confidence interval, 1.016-1.273; P=0.0249). Tumor size and type of surgery (surgical resection) were associated with decreased disease-free survival on univariate analysis but not on multivariate analysis. In conclusion, a higher concentration of tumor-infiltrating Foxp3 Tregs in HCC is associated with higher grade and poorly differentiated tumors and signifies an unfavorable prognosis.