Pathologic Features of Breast Cancer Associated With Complete Response to Neoadjuvant Chemotherapy

The impact of 9-azaglycophymine and phenylguanidine derivatives on the proliferation of various breast cancer cell lines in vitro and in vivo

Quinazolinones, particularly 9-azaglycophymines, and closely related derivatives and precursors were tested in vitro against various breast cancer cell lines representing the major types of breast tumors. Among the 49 compounds tested, azaglycophymine derivative 19 with an electron-withdrawing substituent demonstrated the most significant anti-proliferative effects, with IC50 values of around 4 µM. Extensive cell-based investigations revealed that compound 19 induced caspase-dependent apoptosis in HCC1937 (human TNBC), BT-474 (human HER2+/HR+), and 4T1 (mouse TNBC) cells. In contrast, in MDA-MB-468 (human TNBC) and MCF-7 (human HR+) cells, the cell death was induced via a non-apoptotic pathway. The in vivo efficacy of compound 19 was validated using a syngeneic orthotopic 4T1 model in BALB/c mice, resulting in significant reduction of 4T1 breast tumor growth upon intraperitoneal (i.p.) application of doses of 5 or 20 mg/kg. These findings highlight the potential of compound 19 as a promising scaffold for the development of new therapeutic agents for various types of breast cancer and a first structure-activity insight.

Pretreatment pulmonary tumor necrosis is a promising prognostic imaging biomarker for first-line anti-PD-1/PD-L1 therapy in advanced lung squamous cell carcinoma: a multi-institutional, propensity score-matching cohort analysis

BACKGROUND

Tumor necrosis (TN) is a common feature in lung squamous cell carcinoma (LSCC), which could provide useful predictive and prognostic information.

OBJECTIVES

This study aimed to investigate the effect of pretreatment pulmonary TN (PTN) on the prognosis of first-line anti-programmed cell death 1 (PD-1)/PD ligand 1 (PD-L1) inhibitor in advanced LSCC.

DESIGN

We conducted a retrospective study to analyze the association between the presence of PTN and clinical outcomes in advanced LSCC patients treated with anti-PD-1/PD-L1 inhibitors.

METHODS

Data from 240 eligible patients were collected from 27 hospitals across China between 2016 and 2020. The presence of PTN was assessed using contrast-enhanced chest computed tomography (CT) imaging at baseline. We utilized the Cox proportional-hazards regression model to analyze the association between PTN and clinical outcomes. In addition, to account for potential confounding factors and ensure comparability between groups, we employed propensity score-matching (PSM) analysis.

RESULTS

In the overall patient cohort, the presence of PTN was 39.6%. The median follow-up duration was 20.3 months. The positive PTN group exhibited a notably inferior median progression-free survival (PFS; 6.5 months vs 8.6 months, p = 0.012) compared to the negative PTN group. Within the Cox proportional-hazards regression model, PTN emerged as an independent predictor of unfavorable PFS (hazard ratio (HR) = 1.354, 95% confidence interval (CI): 1.002-1.830, p = 0.049). After PSM, the median PFS for the positive PTN group (6.5 months vs 8.0 months, p = 0.027) remained worse than that of the negative PTN group. Multivariate analyses also further underscored that the presence of PTN independently posed a risk for shorter PFS (HR = 1.494, 95% CI: 1.056-2.112, p = 0.023). However, no statistically significant difference in overall survival was observed between the two groups.

CONCLUSION

Our study suggests that the presence of PTN on baseline contrast-enhanced chest CT is a potential negative prognostic imaging biomarker for the outcome of anti-PD-1/PD-L1 inhibitor therapy in advanced LSCC. Further studies are warranted to validate these findings and explore the underlying mechanisms.

Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessment

Purpose/objectives

Previous deep learning (DL) algorithms for brain metastasis (BM) detection and segmentation have not been commonly used in clinics because they produce false-positive findings, require multiple sequences, and do not reflect physiological properties such as necrosis. The aim of this study was to develop a more clinically favorable DL algorithm (RLK-Unet) using a single sequence reflecting necrosis and apply it to automated treatment response assessment.

Methods and materials

A total of 128 patients with 1339 BMs, who underwent BM magnetic resonance imaging using the contrast-enhanced 3D T1 weighted (T1WI) turbo spin-echo black blood sequence, were included in the development of the DL algorithm. Fifty-eight patients with 629 BMs were assessed for treatment response. The detection sensitivity, precision, Dice similarity coefficient (DSC), and agreement of treatment response assessments between neuroradiologists and RLK-Unet were assessed.

Results

RLK-Unet demonstrated a sensitivity of 86.9% and a precision of 79.6% for BMs and had a DSC of 0.663. Segmentation performance was better in the subgroup with larger BMs (DSC, 0.843). The agreement in the response assessment for BMs between the radiologists and RLK-Unet was excellent (intraclass correlation, 0.84).

Conclusion

RLK-Unet yielded accurate detection and segmentation of BM and could assist clinicians in treatment response assessment.

Impacts of HER2 immunohistochemical scores on response and outcomes of HER2-positive breast cancers after neoadjuvant therapy

BACKGROUND

Neoadjuvant systemic therapy (NST) is conducted in increased number of patients with breast cancer overexpressing human epidermal growth factor receptor 2 (HER2). Whether the intensity of HER2 protein expression determines response to treatment is challenged. This study aims to analyze the impact of HER2 immunohistochemical (IHC) scores on NST response and survival outcome.

METHODS

We analyzed a total of 197 patients with HER2-positive breast cancer receiving NST and definite surgery from a prospectively collected database. The analyzed endpoints included pathological complete response (pCR), disease-free survival (DFS), and overall survival (OS). More patients with IHC 2+/ in situ hybridization (ISH)-positive tumors presented positive for hormonal receptors, compared with those with IHC 3+ tumors. No clinicopathological features except tumor necrosis were significantly associated with pCR.

RESULTS

Both positive hormone receptors and IHC scores stood on the borderline in statistical analysis. IHC 3+ group tends to present a higher pCR rate than IHC 2+/ISH+ groups (52.5% vs. 34.3%). Patients who achieved pCR had better survival outcome than that of non-pCR group. The impact of pCR on survival reached the statistical significance in the IHC 3+ group both in DFS (90.9% vs. 76.5%; p = 0.004) and OS (97.4% vs. 83.2%; p = 0.002). Multivariate analysis demonstrated IHC scores as an independent predictor of survival outcome with the adjustment of tumor staging and pCR.

CONCLUSION

HER2 IHC score is an independent predictor for outcome. IHC 3+ tumors presented a trend of higher pCR rate and better outcome in HER2-positive breast cancer patients who receive NST.

Identification of tumor biomarkers for pathological complete response to neoadjuvant treatment in locally advanced breast cancer

BACKGROUND

Therapeutic response predictors like age, nodal status, and tumor grade and markers, like ER/PR, HER2, and Ki67, are not reliable in predicting the response to a specific form of chemotherapy. The current study aims to identify and validate reliable markers that can predict pathological complete response (pCR) in fluorouracil, epirubicin, and cyclophosphamide (FEC)-based neoadjuvant therapy with (NACT/RT) and without concurrent radiation (NACT).

MATERIALS AND METHODS

Tandem mass tag (TMT) quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to identify differentially expressed proteins from core needle breast biopsy between pCR (n = 4) and no-pCR (n = 4). Immunoblotting of shortlisted proteins with the tissue lysates confirmed the differential expression of the markers. Further, immunohistochemistry (IHC) was performed on formalin-fixed paraffin-embedded sections of treatment-naive core needle biopsies. In the NACT, 29 pCR and 130 no-pCR and in NACT/RT, 32 pCR and 71 no-pCR were used.

RESULTS

733 and 807 proteins were identified in NACT and NACT/RT groups, respectively. Ten proteins were shortlisted for validation as potential pCR-predictive markers. THBS1, TNC, and DCN were significantly overexpressed in no-pCR in both the groups. In NACT, CPA3 was significantly upregulated in the no-pCR. In NACT/RT, HnRNPAB was significantly upregulated and HMGB1 significantly downregulated in the no-pCR. HMGB1 was the only marker to show prognostic significance.

CONCLUSION

Quantitative proteomics followed by IHC identified and validated potential biomarkers for predicting patient response to therapy. These markers can be used, following larger-scale validation, in combination with routine histological analysis providing vital indications of treatment response.

The Extent of Necrosis in Brain Metastases May Predict Subtypes of Primary Cancer and Overall Survival in Patients Receiving Craniotomy

Although necrosis is common in brain metastasis (BM), its biological and clinical significances remain unknown. We evaluated necrosis extent differences by primary cancer subtype and correlated BM necrosis to overall survival post-craniotomy. We analyzed 145 BMs of patients receiving craniotomy. Necrosis to tumor ratio (NTR) was measured. Patients were divided into two groups by NTR: BMs with sparse necrosis and with abundant necrosis. Clinical features were compared. To investigate factor relevance for BM necrosis, multivariate logistic regression, random forests, and gradient boosting machine analyses were performed. Kaplan−Meier analysis and log-rank tests were performed to evaluate the effect of BM necrosis on overall survival. Lung cancer was a more common origin for BMs with abundant necrosis (42/72, 58.33%) versus sparse necrosis (23/73, 31.51%, p < 0.01). Primary cancer subtype and tumor volume were the most relevant factors for BM necrosis (p < 0.01). BMs harboring moderately abundant necrosis showed longer survival, versus sparse or highly abundant necrosis (p = 0.04). Lung cancer BM may carry larger necrosis than BMs from other cancers. Further, moderately abundant necrosis in BM may predict a good prognosis post-craniotomy.

Differences in sensitivity to neoadjuvant chemotherapy among invasive lobular and ductal carcinoma of the breast and implications on surgery-A systematic review and meta-analysis

Meta-analysis of >87,000 patients demonstrates that patients with invasive lobular carcinoma of the breast are far less likely to achieve pCR of the breast or axilla compared to their ductal counterparts, receive less BCS and more frequently return positive margins.

BACKGROUND

Neoadjuvant chemotherapy (NACT) facilitates tumour downstaging, increases breast conserving surgery (BCS) and assesses tumour chemosensitivity. Despite clinicopathological differences in Invasive Ductal Carcinoma (IDC) and Invasive Lobular Carcinoma (ILC), decision making surrounding the use NACT does not take account of histological differences.

AIM

To determine the impact NACT on pathological complete response (pCR), breast conserving surgery (BCS), margin status and axillary pCR in ILC and IDC.

METHODS

A systematic review was performed in accordance with the PRISMA guidelines. Studies reporting outcomes among ILC and IDCs following NACT were identified. Dichotomous variables were pooled as odds ratios (ORs) with 95% confidence intervals_(CI) using the Mantel-Haenszel method. P-values <0.05 were statistically significant.

RESULTS

40 studies including 87,303 (7596 ILC [8.7%]and 79,708 IDC [91.3%]) patients were available for analysis. Mean age at diagnosis was 54.9 vs. 50.9 years for ILC and IDC, respectively. IDCs were significantly more likely to achieve pCR (22.1% v 7.4%, OR: 3.03 [95% CI 2.5-3.68] p < 0.00001), axillary pCR (23.6% vs. 13.4%, OR: 2.01 [95% CI 1.77-2.28] p < 0.00001) and receive BCS (45.7% vs. 33.3%, OR 2.14 [95% CI 1.87-2.45] p < 0.00001) versus ILCs. ILCs were significantly more likely to have positive margins at the time of surgery (36% vs 13.5%, OR 4.84 [95% CI 2.88-8.15] p < 0.00001).

CONCLUSION

This is the largest study comparing the impact of NACT among ILC and IDC with respect to pCR and BCS. ILC has different outcomes to IDC following NACT and incorporate it into treatment decisions and future clinical guidelines.

Pathologic evaluation of specimens after neoadjuvant chemotherapy in breast cancer: Current recommendations and challenges

Neoadjuvant chemotherapy is increasingly used to optimize breast conservation surgery and is becoming a standard of care in a subset of breast cancer patients. An accurate pathologic assessment is crucial in guiding clinical decisions and subsequent management and prognosis. This review aims to summarize the most current literature, recommendations, and challenges in the pathologic evaluation of breast cancer after neoadjuvant chemotherapy. Included are the most current definitions of the different types of tumor response, the underlying factors that can affect tumor response, how to assess lymph nodes, margins, and tumor markers post-neoadjuvant chemotherapy, as well as the different classification systems a pathologist can use to assess residual disease. In this era of de-escalation of surgical treatment, studies on imaging techniques to assess residual disease and avoid surgery after neoadjuvant chemotherapy have also been done. However, at least for now, surgical treatment remains the preferred practice. As such, pathologists play an increasingly critical role in standardizing assessment of residual disease post-neoadjuvant chemotherapy, and in optimizing the knowledge gained by this approach to breast cancer therapy.

Tumor necrosis by pretreatment breast MRI: association with neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC)

PURPOSE

To determine if tumor necrosis by pretreatment breast MRI and its quantitative imaging characteristics are associated with response to NAST in TNBC.

METHODS

This retrospective study included 85 TNBC patients (mean age 51.8 ± 13 years) with MRI before NAST and definitive surgery during 2010-2018. Each MRI included T2-weighted, diffusion-weighted (DWI), and dynamic contrast-enhanced (DCE) imaging. For each index carcinoma, total tumor volume including necrosis (TTV), excluding necrosis (TV), and the necrosis-only volume (NV) were segmented on early-phase DCE subtractions and DWI images. NV and %NV were calculated. Percent enhancement on early and late phases of DCE and apparent diffusion coefficient were extracted from TTV, TV, and NV. Association between necrosis with pathological complete response (pCR) was assessed using odds ratio (OR). Multivariable analysis was used to evaluate the prognostic value of necrosis with T stage and nodal status at staging. Mann-Whitney U tests and area under the curve (AUC) were used to assess performance of imaging metrics for discriminating pCR vs non-pCR.

RESULTS

Of 39 patients (46%) with necrosis, 17 had pCR and 22 did not. Necrosis was not associated with pCR (OR, 0.995; 95% confidence interval [CI] 0.4-2.3) and was not an independent prognostic factor when combined with T stage and nodal status at staging (P = 0.46). None of the imaging metrics differed significantly between pCR and non-pCR in patients with necrosis (AUC < 0.6 and P > 0.40).

CONCLUSION

No significant association was found between necrosis by pretreatment MRI or the quantitative imaging characteristics of tumor necrosis and response to NAST in TNBC.

Evaluation of Breast and Axillary Lymph Node Specimens in Breast Cancer Patients Treated With Neoadjuvant Systemic Therapy

Breast and axillary lymph node specimens from breast cancer patients treated with neoadjuvant systemic therapy are being encountered by pathologists with increasing frequency. Evaluation of these specimens presents challenges that differ from those encountered during the examination of other types of breast specimens. This article reviews the key issues regarding the gross and microscopic evaluation of post-neoadjuvant systemic therapy breast and lymph node specimens, and emphasizes the importance of accurate specimen evaluation in assessing treatment response.

Differential response to neoadjuvant hormonal therapy in prostate cancer: Predictive morphological parameters and molecular markers

OBJECTIVES

The predictive value of the histological parameters and molecular markers for neoadjuvant hormonal therapy (NHT) in prostate cancer (PCa) has not been well established. The aim of this study is to determine pathological variables that can predict differences in response to NHT in PCa.

METHODS

A total of 85 locally high risk PCa patients with matched preoperative needle biopsies and radical prostatectomy (RP) specimens were included. All patients were treated with NHT for at least 3 months. We quantified the response to NHT using a new proposed pathological grading system. The system classified tumors into five groups (grades 0-4) according to the severity of histological response. We then categorized the PCa patients into drug-sensitive (DS) group (Grades 2-4) and drug-resistant (DR) group (Grades 0-1). Two pathologists assessed each pretreated tumors for presence or absence of nine morphological features. The expression of androgen receptor (AR), ERG, and PTEN were evaluated by immunohistochemistry (IHC) as well. Statistical analysis was performed to identify significant associations between differentially histological response to NHT and morphological features as well as molecular aberrations. We evaluated different prediction models using receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) analysis.

RESULTS

73% (n = 62/85) of tumors in our cohort belonged to DS group, whereas 27% (n = 23/85) of tumors were DR. Univariate logistic analysis suggested four pathological variables, cribriform growth pattern, macronucleoli, ductal adenocarcinoma differentiation, and PTEN loss in needle biopsies were significantly associated with DR effect, all with P-value < 0.05. Multivariate logistic regression analysis revealed that the three parameters as significant predictive factors for predicting DR effect. These were macronucleoli (RR = 4.008, P = 0.002), ductal adenocarcinoma differentiation (RR = 11.659, P = 0.009) and PTEN loss expression (RR = 7.275, P = 0.015). The AUC of three integrated indicators model was 0.781.

CONCLUSIONS

Our study suggested that the presence of tumor cribriform growth pattern, macronucleoli, ductal adenocarcinoma differentiation, and PTEN loss in needle biopsies are of value in predicting tumor response to NHT regimen. Multivariate logistic regression analysis revealed the performance of combined pathological indicators in predicting DR response was better than that of model based on individual factor alone.

Nomograms for preoperative prediction of axillary nodal status in breast cancer

Background

Axillary staging in patients with breast cancer and clinically node‐negative disease is performed by sentinel node biopsy (SLNB). The aim of this study was to integrate feasible preoperative variables into nomograms to guide clinicians in stratifying treatment options into no axillary staging for patients with non‐metastatic disease (N0), SLNB for those with one or two metastases, and axillary lymph node dissection (ALND) for patients with three or more metastases.

Methods

Patients presenting to Skåne University Hospital, Lund, with breast cancer were included in a prospectively maintained registry between January 2009 and December 2012. Those with a preoperative diagnosis of nodal metastases were excluded. Patients with data on hormone receptor status, human epidermal growth factor receptor 2 and Ki‐67 expression were included to allow grouping into surrogate molecular subtypes. Based on logistic regression analyses, nomograms summarizing the strength of the associations between the predictors and each nodal status endpoint were developed. Predictive performance was assessed using the area under the receiver operating characteristic (ROC) curve. Bootstrap resampling was performed for internal validation.

Results

Of the 692 patients eligible for analysis, 248 were diagnosed with node‐positive disease. Molecular subtype, age, mode of detection, tumour size, multifocality and vascular invasion were identified as predictors of any nodal disease. Nomograms that included these predictors demonstrated good predictive abilities, and comparable performances in the internal validation; the area under the ROC curve was 0·74 for N0versus any lymph node metastasis, 0·70 for one or two involved nodes versusN0, and 0·81 for at least three nodes versus two or fewer metastatic nodes.

Conclusion

The nomograms presented facilitate preoperative decision‐making regarding the extent of axillary surgery.

Defines need for staging?

Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

Purpose

There is no standard targeted therapy for the treatment of triple-negative breast cancer (TNBC). Therefore, its management heavily depends on adjuvant chemotherapy. Using core needle biopsy, this study evaluated the histological factors of TNBC predicting the response to chemotherapy.

Methods

One hundred forty-three TNBC patients who received single-regimen neoadjuvant chemotherapy (NAC) with the combination of doxorubicin, cyclophosphamide, and docetaxel were enrolled. The core needle biopsy specimens acquired before NAC were used to analyze the clinicopathologic variables and overall performance of the predictive model for therapeutic response.

Results

Independent predictors of pathologic complete response after NAC were found to be higher number of tumor infiltrating lymphocytes (p=0.007), absence of clear cytoplasm (p=0.008), low necrosis (p=0.018), and high histologic grade (p=0.039). In the receiver operating characteristics curve analysis, the area under curve for the combination of these four variables was 0.777.

Conclusion

The present study demonstrated that a predictive model using the above four variables can predict therapeutic response to single-regimen NAC with the combination of doxorubicin, cyclophosphamide, and docetaxel in TNBC. Therefore, adding these morphologic variables to clinical and genomic signatures might enhance the ability to predict the therapeutic response to NAC in TNBC.

Neoadjuvant chemotherapy in breast cancers

With advances in science and technology, there are more innovations in the approach to management of patients with breast cancer. Neoadjuvant chemotherapy that is designed to be used prior to surgical removal of a tumor has received significant attention. Currently, neoadjuvant chemotherapy is offered to patients with locally advanced breast cancer and also those breast cancer patients who may benefit from size reduction before conservation therapy. There is now sufficient evidence that if neoadjuvant chemotherapy leads to complete pathologic response, the patient will enjoy a better outcome. Therefore, assessment of the degree of response to neoadjuvant chemotherapy has a major impact on patient selection and the follow-up management of each patient and defines patient outcome.

The prognostic and predictive significance of PARP-1 in locally advanced breast cancer of Egyptian patients receiving neoadjuvant chemotherapy

PURPOSE

PARP-1 is a chromatin-associated enzyme that has a role in DNA repair and cell death. PARP-1 inhibitors are suggested therapy specifically for BRCA deficient breast carcinoma; however, their efficacy in sporadic breast cancer is under investigations. This study aimed to evaluate the PARP-1 in locally advanced breast cancer (LABC) cases to determine its predictive significance for outcome and response to neoadjuvant chemotherapy (NCT).

MATERIALS AND METHODS

This retrospective study was conducted on 84 LABC cases. Immunohistochemical expression of nuclear PARP-1 (nPARP-1) and cytoplasmic PARP-1 (cPARP-1) was evaluated in pretreatment needle core biopsies (NCBs). Results were correlated with clinicopathologic features, overall survival (OS), disease-free survival (DFS), and response to NCT in postoperative specimens.

RESULTS

High nPARP-1expression was observed in 64/84 (76%) of cases and was significantly associated with a lower lymph node stage (P=0.04). High cPARP-1 was observed in 40/84 (48%) of cases and it was significantly associated with lower lymph node stage (P=0.022) and lower tumor grade (P=0.050). High nPARP-1 expression was significantly associated with high cPARP-1 expression (P=0.005). Low cPARP-1 expression was associated with no response to chemotherapy in tumor site (P=0.021). According to the univariate survival analysis, high nPARP-1 and high cPARP-1 were significantly associated to longer OS (P=0.017 and P=0.019, respectively). High nPARP-1 but not cPARP-1 showed trend toward improved OS in multivariate Cox-regression analysis (P=0.053).

CONCLUSION

PARP-1 immunohistochemical expression is a marker of good prognosis and is predictive of response to NCT in LABC.

Proliferation rate and breast cancer subtype, but not ALDH1 expression, predict pathological response to neoadjuvant chemotherapy in locally advanced breast cancer

For locally advanced breast cancer, pathological complete response (pCR) following neoadjuvant chemotherapy (NACT) is associated with good disease-free survival. In several studies, response to chemotherapy according to various parameters has shown strong inter-individual variability. We investigated whether different prognostic factors, including ALDH1 expression, might predict response to NACT in female patients with locally advanced breast carcinoma. ER, PR, Her2/neu, Ki-67 and ALDH1 immunohistochemistry were performed on the initial biopsy and subsequent resection specimens. Residual tumour burden was calculated in post NACT resection specimens using residual cancer burden (RCB) protocol. Of our cohort of 66 patients, 24 (36 %) achieved pCR. Triple negative phenotype and high Ki-67 proliferative index (>40 %) were significantly associated with good response to NACT. ALDH1 expression in tumour epithelial (20 %) or stromal (44 %) cells did not correlate with tumour grade, molecular subtype, proliferative index or NACT response. However, epithelial and stromal ALDH1 expression was significantly increased in residual tumour after NACT. In conclusion, triple negative phenotype and high proliferative index, but not ALDH1 expression, are predictive of good pathological response to NACT. Increased ALDH1 expression following NACT might be associated with a higher probability of recurrent disease.

Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis

Aims

To build and evaluate an automated method for assessing tumour viability in histological tissue samples using texture features and supervised learning.

Methods

H&E-stained sections (n=56) of human non-small cell lung adenocarcinoma xenografts were digitised with a whole-slide scanner. A novel image analysis method based on local binary patterns and a support vector machine classifier was trained with a set of sample regions (n=177) extracted from the whole-slide images and tested with another set of images (n=494). The extracted regions, or single-tissue entity images, were chosen to represent as pure as possible examples of three morphological tissue entities: viable tumour tissue, non-viable tumour tissue and mouse host tissue.

Results

An agreement of 94.5% (area under the curve=0.995, kappa=0.90) was achieved to classify the single-tissue entity images in the test set (n=494) into the viable tumour and non-viable tumour tissue categories. The algorithm assigned 250 of the 252 non-viable and 219 of the 242 of viable sample regions to the correct categories, respectively. This corresponds to a sensitivity of 90.5% and specificity of 99.2%.

Conclusions

The proposed image analysis-based tumour viability assessment resulted in a high agreement with expert annotations. By providing extraction of detailed information of the tumour microenvironment, the automated method can be used in preclinical research settings. The method could also have implications in cancer diagnostics, cancer outcome prognostics and prediction.

Clonal profiling of mixed lobular and ductal carcinoma revealed by multiplex ligation-dependent probe amplification and fluorescence in situ hybridization

A needle biopsy of a mass in the right breast of a 36-year-old woman revealed invasive ductal carcinoma (IDC), and approximately 20% of cancer cells showed unequivocal membranous staining with the HercepTest. After systemic therapy with trastuzumab and paclitaxel followed by FEC (fluorouracil + epirubicin + cyclophosphamide), a right mastectomy was performed. By histological and immunohistochemical examinations, the resected tumor consisted mainly of E-cadherin-negative invasive lobular carcinoma (ILC), and the rest was ERBB2-positive IDC; thus, the diagnosis was mixed ductal and lobular carcinoma. Multiplex ligation-dependent probe amplification and fluorescence in situ hybridization (FISH) analyses revealed that ILC and IDC shared high-level amplification of CCND1 in homogeneously staining regions (HSR) and that IDC had an additional HSR-type amplicon of ERBB2. These findings strongly indicate that IDC and ILC had a common precursor cell with CCND1 amplification. Review of the biopsy specimen with FISH showed IDC with gene amplifications of CCND1 and ERBB2 as a minor component, IDC without amplification of CCND1 or ERBB2 as a major component, and a minute portion of ILC with CCND1 amplification. We speculate that chemotherapy and trastuzumab caused a marked reduction in IDC; however, ILC with CCND1 amplification was resistant to chemotherapy and grew.

Pathology Considerations in Patients Treated with Neoadjuvant Chemotherapy

Neoadjuvant therapy (NAT) originally reserved for the treatment of inflammatory and locally advanced breast cancers is currently offered to women with earlier-stage and operable breast carcinoma. NAT allows more women to be eligible for breast conservation surgery and provides an opportunity to assess the response of carcinomas to therapy. This review focuses on the predictors of therapeutic response in pretreatment tumor, evaluation of post-treatment breast and lymph node specimens and classification systems to evaluate degree of response to NAT.

Adjuvant therapies for special types of breast cancer

Recent developments in the adjuvant treatment of breast cancer include an increasing attention to systemic therapies prescribed in homogeneous groups of patients according to the higher chance of benefit. A clear consequence of the current adjuvant treatment strategy is the importance of accurate and reliable histopathological assessment. A proper pathological evaluation may effectively support the definition of prognosis and treatment choice in niches of patients diagnosed with special types of breast cancer. Through the identification of special types of breast cancer, that account for up to 25% of all invasive breast carcinomas, it is possible to select patients with a very good prognosis often close to that of the general population (e.g. tubular and pure cribriform carcinoma). Other features, such as those related with invasive classical lobular carcinoma, might have important correlates of responsiveness to therapy other than indicators of outcome. It was in fact demonstrated that the response to primary chemotherapy is significantly lower in invasive lobular carcinoma, if compared with the ductal histotype. However, the use of available information on special types of breast cancer has been limited in tailoring adjuvant therapy, owing to the absence of standardized criteria and partial reproducibility for diagnosis. Moreover, due to the relative rarity of the disease a large number of features that identify for special types of breast carcinomas have today no particular correlation with the prognosis, and limited data are available on the biology of a large number of breast cancer subtypes. The development of more effective therapies for patients with special types of breast cancer requires tailored treatment investigations through international cooperation and should not rely on information predominantly contributed from small retrospective analyses. Examination of patterns of relapse and treatment response within subpopulations in multiple randomized trials is also mandatory to make progress and reach consensus on how to treat individual patients with special types of breast cancer.

Invasive lobular breast cancer: subtypes and outcome

Invasive lobular carcinoma (ILC) is the most common "special type" of breast cancer. Although conflicting literature data are available on the outcome of ILC, recently reported data indicate that ILC carries a poorer prognosis if compared to invasive ductal carcinomas. We evaluated clinical and biological features of 981 consecutive patients with pT1-3, pN1-3 M0 ILC. Median follow-up was 7.4 years for survival. A total of 541 patients were classified as classic (55.8%), 146 alveolar (14.9%), 145 mixed non-classic (14.8%), 104 solid (10.6%), and 38 trabecular (3.9%). A statistically significant difference in the outcome was observed at multivariate analysis for patients with solid (HR 2.44, 95% CI 1.39-4.29 for OS; HR 1.92, 95% CI 1.29-2.88 for DFS) and mixed non-classic (HR 1.99, 95% CI 1.12-3.53 for OS) versus patients with classical ILC. A statistically significant difference in the risk of distant metastases was observed at multivariate analysis for patients with Luminal B (HR 2.56, 95% CI 1.38-4.76), HER2 positive (HR 7.80, 95% CI 1.55-39.3), and triple negative (HR 7.61, 95% CI 2.63-22.1) subtypes versus patients with Luminal A ILC. Age ≥70 years, tumor size and degree of nodal involvement were additional independent predictors of reduced overall survival. The outcome of ILC significantly correlated with histological and immunohistochemically defined molecular subtypes. New tailored strategies should be explored in these subgroups of patients with poor outcome.

Pathology of breast carcinomas after neoadjuvant chemotherapy: an overview with recommendations on specimen processing and reporting

CONTEXT

Currently, more women are being treated with chemotherapy or hormonal agents before surgery (neoadjuvant chemoendocrine therapy) for earlier-stage operable breast carcinoma. The pathologic examination of these specimens can be quite challenging.

OBJECTIVE

To give an overview of (1) pathologic changes that occur during treatment, (2) systems for evaluating response to treatment, and (3) recommendations for pathologic examination and reporting of such cases.

DATA SOURCES

The recommendations are based on the review of selected literature on breast carcinoma after neoadjuvant therapy and the authors' personal experience with the clinical and pathologic characteristics of cases from each of the authors' own institutions.

CONCLUSIONS

Pathologists play a key role in the evaluation of pathologic response, which is extremely important as a prognostic factor for individual patients, as a short-term endpoint for clinical trials, and as an adjunct for research studies. Therefore, surgical pathologists must be familiar with the gross examination, sampling, and reporting of breast carcinomas after neoadjuvant therapy.

Incidence of pathologic complete response in women treated with preoperative chemotherapy for locally advanced breast cancer: correlation of histology, hormone receptor status, Her2/Neu, and gross pathologic findings

Neoadjuvant chemotherapy is the standard of care for patients with locally advanced breast cancer and is used increasingly for large operable breast cancer. The aim of this study was to assess the rate of pathologic complete response (pCR) in our patient population with locally advanced breast cancer and identify predictive factors for pCR after neoadjuvant chemotherapy. We studied a cohort of 205 patients and compared histologic features and biomarkers in the pretreatment biopsy with the corresponding pathologic response in the subsequent resection specimen. A pCR was defined as the absence of any microscopic evidence of tumor in the mastectomy specimen and axillary lymph node dissection. The tumor size was reduced in 60% of patients; 16 patients had a pCR. Histologic grade, histologic type, and hormone status did correlate with a pathologic response. None of the 29 invasive pure micropapillary carcinomas had a pCR. Pathologic complete response among Mexican patients with locally advanced breast cancer is low (8%), and the presence of invasive pure micropapillary carcinoma could be an independent predictor for pCR.

Raman spectroscopic characterization of necrotic cell death

Raman spectroscopy has been used to estimate the biochemical changes due to necrosis in an in vitro model system comprised of a human malignant melanoma cell line (MEL-28). Combined oxygen and glucose deprivation was used to simulate necrotic cell death in tumors. Raman spectroscopy measurements of nonproliferating live cells and dead cells were made at 24, 48, and 72 hours. Quantitative estimates of the biochemical composition of live and dead cells were made by fitting cell spectra to the basis spectra of protein, lipid, RNA, DNA, and glycogen. A decrease in the relative amount of lipid and RNA, and an increase in the relative protein content, were observed in dead cells. A comparison of the spectra indicated the existence of conformational changes in protein and nucleic acids in dead cells. These results suggest that Raman spectroscopy could be used to detect necrotic cell death in tumors.

Cytokeratin-18 is a useful serum biomarker for early determination of response of breast carcinomas to chemotherapy

PURPOSE

With a widening arsenal of cancer therapies available, it is important to develop therapy-specific predictive markers and methods to rapidly assess treatment efficacy. We here evaluated the use of cytokeratin-18 (CK18) as a serum biomarker for monitoring chemotherapy-induced cell death in breast cancer.

EXPERIMENTAL DESIGN

Different molecular forms of CK18 (caspase cleaved and total) were assessed by specific ELISA assays. Drug-induced release of CK18 was examined from breast carcinoma cells and tissue. CK18 protein composition was examined in serum. CK18 levels were determined in serum from 61 breast cancer patients during docetaxel or cyclophosphamide/epirubicin/5-fluorouracil (CEF) therapy.

RESULTS

Caspase-cleaved CK18 molecules were released from monolayer cultures and tumor organ cultures to the extracellular compartment. CK18 was present in complexes with other cytokeratins in serum. Such CK18 protein complexes are remarkably stable, leading to favorable performance of CK18 biomarker assays for clinical investigations. Docetaxel induced increased levels of caspase-cleaved CK18 in serum from breast cancer patients, indicating apoptosis. CEF therapy led to increases predominantly in uncleaved CK18, indicating induction of necrotic cell death in many tumors. The increase in total CK18 at 24 h of the first treatment cycle correlated to the clinical response to CEF therapy (P < 0.0001).

CONCLUSIONS

Induction of necrotic cell death may explain the clinical efficacy of anthracycline-based therapy for breast carcinomas with defective apoptosis pathways. We suggest that CK18 biomarkers are useful for early prediction of the response to CEF therapy in breast cancer and may be useful biomarkers for clinical trials.

An overview of assessment of prognostic and predictive factors in breast cancer needle core biopsy specimens

Needle core biopsy (NCB), as part of triple assessment for preoperative evaluation and diagnosis of breast cancer, is now considered as an established, highly accurate method for diagnosing breast cancer that has replaced either fine needle aspiration cytology or excisional biopsy as the initial diagnostic biopsy procedures in many institutions. In addition to its primary role in establishing an accurate histological diagnosis, NCB can potentially provide important additional pathological prognostic information which may be of direct clinical value in certain situations, such as patients being considered for preoperative (neoadjuvant) therapy. With this background in mind we briefly review the current role of NCB in breast cancer diagnosis and then concentrate this review on the usefulness and issues relating to use of this technique in providing accurate, reliable and clinically relevant preoperative prognostic and predictive information in patients with breast cancer.

Primary systemic chemotherapy of invasive lobular carcinoma of the breast

Invasive lobular carcinoma is the second most frequent histological type of breast cancer and its incidence is increasing. It has unique clinical, biological, and molecular features. Invasive lobular carcinoma is almost invariably positive for the oestrogen receptor and, when compared with invasive ductal carcinoma, it is typically of a lower grade. Even though invasive lobular carcinoma represents a distinct clinical entity, the same criteria used for invasive ductal carcinoma are currently applied to establish the need for primary or adjuvant systemic chemotherapy. We reviewed randomised trials of neoadjuvant and adjuvant chemotherapy and noted that insufficient evidence is available to support or withhold use of chemotherapy in patients with invasive lobular carcinoma. Thus, the benefit from systemic chemotherapy for individuals with this form of breast disease is unclear. Invasive lobular carcinoma deserves to be investigated separately in prospective clinical trials to define the best treatment and prevention strategies.

Prognostic significance of tumor necrosis in ovarian cancer patients treated with neoadjuvant chemotherapy and interval surgical debulking

The objective of this study was to study the significance of tumor necrosis documented at the time of interval surgical debulking after neoadjuvant chemotherapy. Retrospective chart reviews were carried out from 1997 to 2005 to identify ovarian cancer patients treated with neoadjuvant chemotherapy. Patients' demographics together with disease characteristics, treatment-related variables, and outcomes were recorded. Cox proportional hazard models were built to model time to progression using predictor variables such as age, cancer stage, tumor grade, residual disease, percentage change in CA125 level from baseline, and degree of necrosis in resected tumor specimens. One hundred one patients were included in the study. Optimal debulking was achieved in 74% of the patients. Cox regressions revealed three significant predictive variables of time to first progression: younger age (hazard ratio [HR] = 0.95, 95% CI 0.92-0.98, P= 0.004), residual disease (P= 0.048), and the absence/minimal tumor necrosis after three cycles of neoadjuvant chemotherapy (HR = 1.97, 95% CI 1.01-3.87, P= 0.048). The estimated median survival was 50.66 months (95% CI 46.12-55.20). The lack of or minimal tumor necrosis after neoadjuvant chemotherapy is an independent risk factor for recurrent disease.

Molecular classification system identifies invasive breast carcinoma patients who are most likely and those who are least likely to achieve a complete pathologic response after neoadjuvant chemotherapy

BACKGROUND

The molecular classification system categorizes invasive breast carcinomas according to their key driving biomarkers. In the current study, the authors evaluated whether response to neoadjuvant chemotherapy was correlated with the molecular classification groups.

METHODS

Using immunohistochemistry, the molecular classification group (luminal-A, luminal-B, HER-2-variant, HER-2-classic, and basal phenotype) was retrospectively determined in 68 breast cancer patients who received neoadjuvant treatment.

RESULTS

A total of 28 carcinoma patients (41.2%) achieved a compete pathologic response (CPR), including 2 of 15 patients classified as having luminal-A (13.3%), 4 of 16 patients classified as having luminal-B (25.0%), 10 of 12 patients classified as having HER-2-classic (83.3%), none of the 4 patients classified as having HER-2-variant, and 12 of 21 patients classified as having basal phenotype (57.1%) neoplasms. The CPR rate among patients with the HER-2-classic and basal neoplasms was 67% (22 of 33 neoplasms), compared with 17.1% (6 of 35 neoplasms) in the non-HER-2-classic/basal combined group (P < .001). Eleven carcinomas were initially diagnosed as invasive lobular carcinomas (pleomorphic and classic), 4 of which were luminal-A, 4 of which were luminal-B, 2 of which were HER-2-classic, and 1 of which was basal. On review, only 3 of these 11 cases remained classified as classic lobular carcinoma, all of which were classified as luminal-A, and none of these patients achieved a CPR. Four of the other 8 patients achieved a CPR.

CONCLUSIONS

The molecular classification system is useful for identifying carcinoma patients who are most likely and those who are least likely to achieve a CPR. In the current study, all the morphologically classic lobular carcinomas were classified as luminal-A neoplasms, which may explain the low rate of CPR reported.

Clinical and pathological predictors of the response to neoadjuvant anthracycline chemotherapy in locally advanced breast cancer

PURPOSE

The aim of this study is to determine clinical and histopathological characteristics correlated to responsiveness to anthracycline-based neoadjuvant chemotherapy in breast cancer.

PATIENTS AND METHODS

We studied primary tumor specimens with local advanced breast cancer from 40 patients. Patients received anthracycline-based chemotherapy. Neoadjuvant regimen consisted in 600 mg/m2 5-fluorouracil, 60 mg/m2 doxorubicin, and 600 mg/m2 cyclophosphamide (FAC). The World Health Organization criteria were used to classify the tumors. We performed immunohistochemical staining for ER, PgR, HER-2, PCNA (proliferation cell nuclear antigen), Ki-67, p53, and Bcl-2. Clinical and histopathological characteristics were associated with clinical response and histopathological changes induced by chemotherapy.

RESULTS

The mean age was 47 +/- 14 yr. Twenty-three percent of patients were in stage IIB and 77% were in stages IIIA and IIIB. Seven percent of patients had progression of the disease. Stable disease was observed in 42% of patients and 45% had partial response. Only 7% of patients had a complete response. Factors associated with a better and major percentage of clinical response were the administration of doxorubicin-based chemotherapy, administration of more than three cycles, clinical N1, atypia, more than 10 mitosis per high-power field, moderate to severe SBR grade, and a major index of cellular proliferation.

CONCLUSION

We found that tumors with large volumes, N2 node status, low cellular proliferation rate, positive immunoreactivity to p53, and low differentiation grade have a lower response to neoadjuvant chemotherapy with anthracycline. These patients could benefit from a different chemotherapy scheme to obtain a better control and resection.

The benefits and limitations of sentinel lymph node biopsy

The status of the axilla is the single most important prognostic indicator of overall survival in patients with breast cancer. Staging is based on tumor size and on the presence of lymph node metastases. The number of lymph nodes, although prognostic, no longer impacts treatment options. Sentinel lymph node (SLN) mapping and dissection is a more sensitive and accurate technique for nodal evaluation and has been applied to staging of axillary lymph nodes in patients with breast cancer, providing prognostic information, with less surgical morbidity than with axillary lymph node dissection (ALND). When analyzed by an experienced pathologist with serial sectioning and immunohistochemical evaluation, SLN is the most accurate detection tool used in staging of breast cancer. In many centers that use these staging principles, ALND is no longer performed for histologically negative axillary SLNs. In addition, this technique may also be therapeutic because in most patients, the SLN is the only positive axillary node. SLN biopsy is justified in women with ductal carcinoma in situ who have a high risk of invasive carcinoma, such as those with large tumors, a mass, or high-grade lesions. SLN biopsy is performed in the setting of neoadjuvant chemotherapy and demonstrates accurate evaluation of the axilla in 90% of the cases. Women with locally advanced breast cancer may derive great benefit from a minimally invasive approach to the axilla because the extent of nodal involvement is unlikely to change further treatment. For clinically palpable nodes, ALND should be performed for therapeutic and local control. The use of sentinel node mapping in pregnancy is controversial. Vital blue dye is contraindicated in pregnant patients, although some have used radioactive colloid alone to map this subgroup of patients.