Search

Baseline characteristics of the patients included (PIK3CA cohort) or not (no-PIK3CA cohort) in the PIK3CA analysis.

Purpose:We explored the prognostic effect of PIK3CA mutation in HER2+ patients enrolled in the ShortHER trial.Patients and Methods:The ShortHER trial randomized 1,253 patients with HER2+ breast cancer to 9 weeks or 1 year of adjuvant trastuzumab combined with chemotherapy. PIK3CA hotspot mutations in exon 9 and 20 were analyzed by pyrosequencing. Expression of 60 genes, including PAM50 genes was measured using the nCounter platform.Results:A mutation of the PIK3CA gene was detected in 21.7% of the 803 genotyped tumors. At a median follow-up of 7.7 years, 5-year disease-free survival (DFS) rates were 90.6% for PIK3CA mutated and 86.2% for PIK3CA wild-type tumors [HR, 0.84; 95% confidence interval (CI), 0.56–1.27; P = 0.417]. PIK3CA mutation showed a favorable prognostic impact in the PAM50 HER2-enriched subtype (n = 232): 5-year DFS 91.8% versus 76.1% (log-rank P = 0.049; HR, 0.46; 95% CI, 0.21–1.02). HER2-enriched/PIK3CA mutated versus wild-type tumors showed numerically higher tumor-infiltrating lymphocytes (TIL) and significant upregulation of immune-related genes (including CD8A, CD274, PDCD1, and MYBL2, a proliferation gene involved in immune processes). High TILs as well as the upregulation of PDCD1 and MYBL2 were associated with a significant DFS improvement within the HER2-enriched subtype (HR, 0.82; 95% CI, 0.68–0.99; P = 0.039 for 10% TILs increment; HR, 0.81; 95% CI, 0.65–0.99; P = 0.049 for PDCD1 expression; HR, 0.72; 95% CI, 0.53–0.99; P = 0.042 for MYBL2 expression).Conclusions:PIK3CA mutation showed no prognostic impact in the ShortHER trial. Within the HER2-enriched molecular subtype, patients with PIK3CA mutated tumors showed better DFS versus PIK3CA wild-type, which may be partly explained by upregulation of immune-related genes.

Consort diagram of ShortHER patients for the different analyses described in the present work.

Background/Aim: Abemaciclib is a cyclin-dependent kinase 4/6 inhibitor approved in combination with endocrine therapy for treating hormone receptor-positive and human epidermal growth factor receptor 2-negative early and advanced breast cancer patients. The safety profile of abemaciclib is characterized by frequent gastrointestinal toxicity, especially diarrhea. Therefore, we performed an exploratory analysis of clinical factors that may be potentially associated with diarrhea in patients treated with abemaciclib plus endocrine therapy. Patients and Methods: Factors potentially predisposing to diarrhea were selected, such as age ≥70 years, concomitant medications and diseases, diet, and use of laxatives. These variables were correlated with the onset of grade 2/3 diarrhea in a cohort of patients treated with abemaciclib from advanced breast cancer. Univariate and multivariate analysis was performed. Sensitivity and specificity were tested using the ROC curve. Results: Eighty women with advanced breast cancer were included in the study. The univariate analysis found a statistically significant correlation between grade 2/3 diarrhea and age ≥70 years, polypharmacy, and concomitant gastrointestinal diseases (p

Introduction TEV is the second highest cause of death in malignancy with 20% incidence. Platelets is a leading mediator of thrombosis as well as of tumor development. Indeed, thrombocytosis is a predictive biomarker of thrombosis risk and contributes to CAT burden. However, the management of thrombocytopenia in patients with CAT is well investigated, whereas evidence is poor on the management of patients with concomitant occurrence of thrombocytosis and CAT. Case report A 67 y-o woman, in primary thromboprophylaxis with 100 mg/die aspirin for myeloproliferative syndrome (PC: 771 x103/µl), was treated with left mastectomy for infiltrating ductal carcinoma (G3 pT1cN1a Mx Ki67:25%) and adjuvant chemotherapy with anthracyclines and anastrozole. Due to bone metastases, zoledronic acid, fulvestrant and palbociclib were administrated. For liver metastases, she was treated with exemestane, paclitaxel and bevacizumab and for disease progression, started capecitabine and cyclophosphamide, still ongoing. She experienced left jugular vein thrombosis (Fig 1-2) treated with edoxaban 60 mg/die with an almost total DVT regression after 2 months. The multidisciplinary team (oncologist, cardiologist, hematologist) decided to interrupt aspirin, proceeding antithrombotic therapy with edoxaban full dose. Concomitant cytoreductive therapy with hydroxyurea was started concomitantly with edoxaban. PC was reduced (522 x103/µl). After 1-month follow-up duplex ultrasound still documented mild persistence of the DVT (Fig 3-4), the patient was compliant and the anticancer regimens (addressed to both the solid cancer and the hematologic disease) were still administrated without any adverse effects. Conclusions CAT is a frequent and major complication of malignancy, worsening mortality, morbidity and decision-making. Platelets play a central role in promoting the hypercoagulable melieu of cancer as well as the metastases growth. Notably, thrombocytosis occurrence further increases the thrombogenic burden in malignancy; nevertheless, its concomitant development together with CAT is understudied. In the reported case, a solid tumor, together with hematologic cancer and DVT, concurred to a difficult management of a patient admitted to our multidisciplinary team. The use of a DOAC, edoxaban, at full dose, without concomitant therapy with aspirin, was an effective, safe and manageable antithrombotic treatment option, allowing the continuation of anticancer agents with no interruptions or delays. The knowledge of tumor-specific pathways may help to personalize strategies for CAT prevention. Fig 1-2 Fig 3-4

Venous thromboembolism is a feared frequent complication of cancer with a 2-way relationship. Low molecular weight heparin is the mainstay of treatment. The use of direct oral anticoagulants is supported by established evidence for the treatment of deep vein thrombosis also in active cancer and they are prioritized over low molecular weight heparin for cancer-associated thrombosis according to current guidelines. However, upper limb deep vein thrombosis is poorly studied with scant data on the use of direct oral anticoagulants in noncatheter-related deep vein thrombosis. We report the case of a patient with noncatheter-related deep vein thrombosis and a rare tumor site effectively and safely treated with a direct oral anticoagulant, edoxaban, after lack of efficacy with low molecular weight heparin.A 35-year-old man with primitive mediastinal seminoma presented at our Cardio-Oncology Unit for prechemotherapy assessment.Persistent brachiocephalic deep vein thrombosis, despite full-dose enoxaparin, was detected at ultrasonography.We decided to switch the anticoagulant treatment from enoxaparin to edoxaban.The 3-month ultrasonography showed almost total regression of the deep vein thrombosis without any adverse effects and a good patient compliance.We conducted a literature review on upper limb deep vein thrombosis, since its management is challenging due to inconsistency of evidence. This report highlights the benefits of direct oral anticoagulants compared to low molecular weight heparins in cancer-associated thrombosis therapy in terms of efficacy, safety and ease of use.

Introduction: Large and consistent evidence supports the use of eribulin mesylate in clinical practice in third or later line treatment of metastatic triple negative breast cancer (mTNBC). Conversely, there is paucity of data on eribulin efficacy in second line treatment. Methods: We investigated outcomes of 44 mTNBC patients treated from 2013 through 2019 with second line eribulin mesylate in a multicentre retrospective study involving 14 Italian oncologic centres. Results: Median age was 51 years, with 11.4% of these patients being metastatic at diagnosis. Median overall survival (OS) and progression free survival (PFS) from eribulin starting were 11.9 (95%CI: 8.4-15.5) and 3.5 months (95%CI: 1.7-5.3), respectively. We observed 8 (18.2%) partial responses and 10 (22.7%) patients had stable disease as best response. A longer PFS on previous first line treatment predicted a better OS (HR=0.87, 95%CI: 0.77-0.99, p= 0.038) and a longer PFS on eribulin treatment (HR=0.92, 95%CI: 0.85-0.98, p=0.018). Progression free survival to eribulin was also favorably influenced by prior adjuvant chemotherapy (HR=0.44, 95%CI: 0.22-0.88, p=0.02). Eribulin was generally well tolerated, with grade 3-4 adverse events being recorded in 15.9% of patients. Conclusions: The outcomes described for our cohort are consistent with those reported in the pivotal Study301 and subsequent observational studies. Further data from adequately-sized, ad hoc trials on eribulin use in second line for mTNBC are warranted to confirm our findings.

Despite the recent advances in the biological understanding of breast cancer (BC), chemotherapy still represents a key component in the armamentarium for this disease. Different agents are available as mono-chemotherapy options in patients with locally advanced or metastatic BC (MBC) who progress after a first- and second-line treatment with anthracyclines and taxanes. However, no clear indication exists on what the best option is in some populations, such as heavily pretreated, elderly patients, triple-negative BC (TNBC), and those who do not respond to the first-line therapy. In this article, we summarize available literature evidence on different chemotherapy agents used beyond the first-line, in locally advanced or MBC patients, including rechallenge with anthracyclines and taxanes, antimetabolite and antimicrotubule agents, such as vinorelbine, capecitabine, eribulin, ixabepilone, and the newest developed agents, such as vinflunine, irinotecan, and etirinotecan.

Introduction Antineoplastic drugs may induce several side effects, including chemotherapy-induced nausea and vomiting (CINV). Two neurotransmitters play a central role in mediating the emetic response: serotonin acting on the 5HT3 receptor and the substance P targeting the NK1 receptor. Indeed, a combination of a 5HT3 receptor antagonist (5HT3-RA) and a NK1 receptor antagonist (NK1-RA) together with dexamethasone has been shown to be very effective. In fact, this combination is actually widely used and recommended for CINV prophylaxis for highly emetogenic cisplatin-based adriamycin/cyclophosphamide (AC) and carboplatin-based regimens. NEPA (netupitant/palonosetron) is the only fixed combination antiemetic available and it is composed by the long-lasting second-generation 5HT3-RA palonosetron and the highly selective NK1-RA netupitant. Aim The aims of this short review were to analyze the role of NEPA in CINV prophylaxis and management taking in account the risk factors related to the patient and to the antineoplastic treatment. Evidence review CINV development is not only correlated to the emetogenic potential of the antineoplastic drugs but is also very influenced by the patient characteristics and history, such as gender, age, alcohol intake, nausea during pregnancy and motion sickness. In pivotal and post-registration studies, NEPA has demonstrated to be effective and safe in both highly and moderately emetogenic chemotherapy. Conclusion A proper assessment of both chemotherapy- and patient-related risk factors is paramount to properly evaluate an appropriate prophylaxis of CINV and NEPA by simplifying the therapy, guarantees fully adherence to antiemetic guidelines, and consequently improves the control of CINV, especially in high risk patients.

Background. The combination of chemotherapy plus anti HER-2 agents is the mainstay of HER-2 positive advanced breast cancer (ABC) therapy. We conducted a phase II trial testing activity and safety of trastuzumab and metronomic capecitabine/cyclophosphamide (HEX) as first-line therapy in HER-2 positive ABC. Methods. Patients at first relapse or with synchronous metastasis were treated with trastuzumab (4 mg/kg, biweekly) plus oral capecitabine (1500 mg/daily) and cyclophosphamide (50 mg/daily). Primary endpoint was objective response rate (ORR), secondary endpoints progression-free survival (PFS), clinical benefit rate (CBR; PR + CR + SD for ≥ 24 weeks) and tolerability. Optimal two-stage design was applied. Results. Sixty patients with measurable ABC, tumors scored as +3 for HER-2 or FISH +, untreated for advanced disease were enrolled. Median age was 62.5 years, visceral metastases were present in most patients (57.9%). Median number of cycles was 16 (range 1–98). ORR was 56.7% (95% CI, 44.1–68.4%), with 5 CR (8.3%) and 29 PR (48.3%). Fifteen patients had SD (25%). The CBR was 78.2%. Nine progressions were observed (15%). Median PFS was 11 months. One year PFS was 47.7%. Median OS was 45.9 months. Worst toxicities were grade 3 hand-foot syndrome in 2 pts (3.3%), grade 3 anaemia in 2 pts (3.3%), grade 2 nausea in 2 pts (3.3%) and grade 3–4 diarrhea in 2 pts (3.3%). Cardiac toxicity grade 1 was reported in 1 pt. Conclusions. Combination of trastuzumab and metronomic oral chemotherapy has clinical activity. The tolerability was excellent and allowed the prolonged delivery of treatment., Highlights • Combination of chemotherapy plus anti HER-2 agents is the standard treatment of HER-2 positive breast cancer. • Combination of trastuzumab and metronomic chemotherapy is an alternative therapeutic approach. • Metronomic therapy allows long-term administration of drugs. • Mild toxicity in advanced breast cancer is desirable.

We report the case of a 50-year-old female patient with breast cancer who, during preoperative workup, presented repeated wide QRS complex tachycardias, recorded by Holter ECG. She was immediately referred to a hub center for electrophysiological study where she was diagnosed with right ventricular outflow tract ventricular tachycardia and underwent catheter ablation. The chemotherapy with paclitaxel that the patient was receiving combined with psychological stress may have triggered the arrhythmias.

To date, some artificial intelligence (AI) methods have exploited Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to identify finer tumor properties as potential earlier indicators of pathological Complete Response (pCR) in breast cancer patients undergoing neoadjuvant chemotherapy (NAC). However, they work either for sagittal or axial MRI protocols. More flexible AI tools, to be used easily in clinical practice across various institutions in accordance with its own imaging acquisition protocol, are required. Here, we addressed this topic by developing an AI method based on deep learning in giving an early prediction of pCR at various DCE-MRI protocols (axial and sagittal). Sagittal DCE-MRIs refer to 151 patients (42 pCR; 109 non-pCR) from the public I-SPY1 TRIAL database (DB); axial DCE-MRIs are related to 74 patients (22 pCR; 52 non-pCR) from a private DB provided by Istituto Tumori “Giovanni Paolo II” in Bari (Italy). By merging the features extracted from baseline MRIs with some pre-treatment clinical variables, accuracies of 84.4% and 77.3% and AUC values of 80.3% and 78.0% were achieved on the independent tests related to the public DB and the private DB, respectively. Overall, the presented method has shown to be robust regardless of the specific MRI protocol.

Cancer-associated thrombosis (CAT) is the second main cause of cancer death with high related mortality and morbidity, leading to anticancer agent delays and interruptions. The recommended therapy, low-molecular-weight heparin (LMWH), however, is burdensome for patients and costly for society, as treatment should last until cancer is no longer active, even indefinitely. Tinzaparin is a manageable, efficient, safe, and cost-effective option. Compared to the other LMWHs, advantages are single-daily dose and safety in the elderly and those with renal impairment (RI). The purpose of this review is to critically discuss recent data on its efficacy and safety in CAT.

Aims TEV is a common cancer complication with 20% incidence. LMWH is the standard therapy for efficacy, safety and ease of use. However, some scenarios are deeply challenging for intercurrent prothrombotic anticancer drugs. Methods A 35-year-old man reported dysphagia, EGDS: oesophagus ulcers, thyroid echography: thoracic mass compressing proximal borders. Vascular ultrasound: thrombosis of left internal giugular, subclavian, axillary and brachial veins; he began enoxaparin 6000 IU ×2/die (65 kg). CT-scan: solid anterior–superior mediastinum vascularized mass (16 × 13 cm) incorporating great thoracic vessels with 20 cm cranio-caudal longitudinal extension with trachea dislocation. PET-CT: massive superior-anterior mediastinum pathological 18F-FDG accumulation suggestive for malignancy. Lung perfusion scan: absence of left lung perfusion. Angio-CT: showed compression of pulmonary artery trunk and of branches. He presented marked asthenia, sweating and presyncope. D-dimer: 6026 µg/L, NT-proBNP: 1417 pg/mL. Mediastinum biopsy exhibited seminoma (ki67+: 65%), he started BEP Protocol (etoposide, cisplatin, bleomycin). TTE: periaortic cuff from mediastinum mass which ab extrinseco compressed pulmonary artery trunk and branches with occlusion of left one, right chambers dilatation, sovra-epatic veins and inferior vena cava (21 mm) ectasia, decreased inspiratory collapse, pulmonary hypertension (SPAP: 52 mmHg), EF: 55%. After 2 months of enoxaparin, vein ultrasound: persistent DVT and positive CUS. So, we replaced enoxaparin with edoxaban 60 mg/die. After 2 months of edoxaban, overall regression of vein thrombosis with minimal residual thrombosis of left internal giugular vein; D-dimer: 1554 µg/L. Results After 2 months of BEP Protocol, CT-scan: decrease mediastinum mass (6 × 12 cm) dimensions. Conclusions Cancer associated thrombosis is a frequent complication, worsening mortality, morbidity and decision-making. Cancer stage and drugs favour development of severe thrombosis, not solvable with LMWH, the cornerstone of anticoagulant therapy in cancer-related thrombosis. DOACs appear as a new and successful therapeutical option, especially in the most challenging cases of highly thrombotic profile after ‘heparin failure’.

In breast cancer patients, an accurate detection of the axillary lymph node metastasis status is essential for reducing distant metastasis occurrence probabilities. In case of patients resulted negative at both clinical and instrumental examination, the nodal status is commonly evaluated performing the sentinel lymph-node biopsy, that is a time-consuming and expensive intraoperative procedure for the sentinel lymph-node (SLN) status assessment. The aim of this study was to predict the nodal status of 142 clinically negative breast cancer patients by means of both clinical and radiomic features extracted from primary breast tumor ultrasound images acquired at diagnosis. First, different regions of interest (ROIs) were segmented and a radiomic analysis was performed on each ROI. Then, clinical and radiomic features were evaluated separately developing two different machine learning models based on an SVM classifier. Finally, their predictive power was estimated jointly implementing a soft voting technique. The experimental results showed that the model obtained by combining clinical and radiomic features provided the best performances, achieving an AUC value of 88.6%, an accuracy of 82.1%, a sensitivity of 100% and a specificity of 78.2%. The proposed model represents a promising non-invasive procedure for the SLN status prediction in clinically negative patients.

Background: The evolution of therapeutic landscape of human epidermal growth factor receptor-2 (HER2)-positive breast cancer (BC) has led to an unprecedented outcome improvement, even if the optimal sequence strategy is still debated. To address this issue and to provide a picture of the advancement of anti-HER2 treatments, we performed a large, multicenter, retrospective study of HER2-positive BC patients. Methods: The observational PANHER study included 1,328 HER2-positive advanced BC patients treated with HER2 blocking agents since June 2000 throughout July 2020. Endpoints of efficacy were progression-free survival (PFS) and overall survival (OS). Results: Patients who received a first-line pertuzumab-based regimen showed better PFS ( p < 0.0001) and OS ( p = 0.004) than those receiving other treatments. Median PFS and mOS from second-line starting were 8 and 28 months, without significant differences among various regimens. Pertuzumab-pretreated patients showed a mPFS and a mOS from second-line starting not significantly affected by type of second line, that is, T-DM1 or lapatinib/capecitabine ( p = 0.80 and p = 0.45, respectively). Conversely, pertuzumab-naïve patients receiving second-line T-DM1 showed a significantly higher mPFS compared with that of patients treated with lapatinib/capecitabine ( p = 0.004). Median OS from metastatic disease diagnosis was higher in patients treated with trastuzumab-based first line followed by second-line T-DM1 in comparison to pertuzumab-based first-line and second-line T-DM1 ( p = 0.003), although these data might be partially influenced by more favorable prognostic characteristics of patients in the pre-pertuzumab era. No significant differences emerged when comparing patients treated with ‘old’ or ‘new’ drugs ( p = 0.43), even though differences in the length of the follow-up between the two cohorts should be taken into account. Conclusion: Our results confirmed a relevant impact of first-line pertuzumab-based treatment and showed lower efficacy of second-line T-DM1 in trastuzumab/pertuzumab pretreated, as compared with pertuzumab-naïve patients. Our findings may help delineate a more appropriate therapeutic strategy in HER2-positive metastatic BC. Prospective randomized trials addressing this topic are awaited.

BACKGROUND: Breast cancer (BC) is a heterogeneous disease, and patients with apparently similar clinicopathological characteristics in clinical practice show different outcome. This study evaluated in primary BCs and in the subgroup of the triple-negative breast cancers (TNBCs) the level of tumor infiltrating lymphocytes (TILs), Na+/H+ exchanger regulatory factor 1 (NHERF1) expression, and their association respect to the clinical outcome of patients. MATERIAL AND METHODS: NHERF1 expression was assessed by immunohistochemistry in 338 BC samples; the analysis of TILs was examined using hematoxylin and eosin stained slides, according to International TILs Working Group 2014. RESULTS: Multivariate analysis identified TILs as an independent prognostic factor for DFS in the entire cohort and in the TNBC subgroup (HR, 0.32; 95% CI, 0.12–0.87; P = 0.026; and HR, 0.22; 95% CI, 0.06–0.80; P = 0.022, respectively). Univariate and survival analysis by Kaplan–Meier method revealed that patients with cytoplasmic (c) NHERF1-/TILs+ expression had better DFS than other patients (P = 0.049), and this result was also found in the TNBC subgroup (P = 0.031). Moreover, TNBC patients with cNHERF1−/TILs− expression had a worse DFS and OS than other patients (P = 0.057 and P = 0.002, respectively). CONCLUSIONS: In the complex scenario of BC and in the era of tumor immunogenicity and immunotherapy, we found an association of TIL levels and cNHERF1 expression that could be useful to identify BCs and particularly TNBC patients with different prognosis and clinical outcome.

The psychological status of cancer outpatients receiving anti-neoplastic treatment during the lockdown in a Italian non-COVID Cancer Center, was been investigated with the following aims: to measure the levels of post-traumatic stress symptoms, depression and anxiety; to compare patients with different cancer sites; to compare the anxiety and depression levels measured in this emergency period between cancer and non-cancer patients and between cancer patients before and after the emergency.The following questionnaires were used: The Hospital Anxiety and Depression Scale (HADs) and the Impact of Event Scale-Revised (IES-R).Worries regarding the COVID-19 on patients' lives, socio-demographic and clinical details were collected using a brief structured questionnaire.One-hundred seventy-eight outpatients were enrolled. We found that 55% of patients were above the cut-off for HADS general scale and 23.7% had severe level of PTSD. The 68% of patients declared that their worries have increased during the pandemic especially for women. Patients with lung cancer have higher general distress compared with patients with breast cancer and lymphoma. The non cancer sample had values significantly higher both for the IES-R scales and for HADS Depression subscale. Finally, cancer patients who experienced the health emergency showed higher levels of anxiety than those measured 2 years ago.Cancer out-patients of the present sample have severe post-traumatic stress symptoms and psychological distress, those with lung cancer are at higher risk and may need special attention. Non-oncological subjects have higher depression levels than cancer patients.

Simple Summary An early prediction of Breast Cancer Recurrence (BCR) for patients undergoing neoadjuvant chemotherapy (NACT) could better guide clinicians in the identification of the most suitable combination treatments for individual patient scenarios. We proposed a transfer learning approach to give an early prediction of three-year BCR for patients undergoing NACT, using DCE-MRI exams from I-SPY1 TRIAL and BREAST-MRI-NACT-Pilot public databases. Because no technical expertise is required in the extraction of meaningful features from images, the predictive model qualifies as a user-friendly tool for any medical expert in support of therapeutic choices. Only pre-treatment and early-treatment MRI examinations were analyzed to allow for potential therapy changes at a very early stage of treatment. We tested the strength of the model on an independent test. The best predictive performances (accuracy of 85.2%, sensitivity of 84.6%, and AUC of 0.83) were achieved by combining the extracted features with some clinical factors: age, ER, PgR, HER2+. Abstract Cancer treatment planning benefits from an accurate early prediction of the treatment efficacy. The goal of this study is to give an early prediction of three-year Breast Cancer Recurrence (BCR) for patients who underwent neoadjuvant chemotherapy. We addressed the task from a new perspective based on transfer learning applied to pre-treatment and early-treatment DCE-MRI scans. Firstly, low-level features were automatically extracted from MR images using a pre-trained Convolutional Neural Network (CNN) architecture without human intervention. Subsequently, the prediction model was built with an optimal subset of CNN features and evaluated on two sets of patients from I-SPY1 TRIAL and BREAST-MRI-NACT-Pilot public databases: a fine-tuning dataset (70 not recurrent and 26 recurrent cases), which was primarily used to find the optimal subset of CNN features, and an independent test (45 not recurrent and 17 recurrent cases), whose patients had not been involved in the feature selection process. The best results were achieved when the optimal CNN features were augmented by four clinical variables (age, ER, PgR, HER2+), reaching an accuracy of 91.7% and 85.2%, a sensitivity of 80.8% and 84.6%, a specificity of 95.7% and 85.4%, and an AUC value of 0.93 and 0.83 on the fine-tuning dataset and the independent test, respectively. Finally, the CNN features extracted from pre-treatment and early-treatment exams were revealed to be strong predictors of BCR.

Background: For assessing the predictability of oncology neoadjuvant therapy results, the background parenchymal enhancement (BPE) parameter in breast magnetic resonance imaging (MRI) has acquired increased interest. This work aims to qualitatively evaluate the BPE parameter as a potential predictive marker for neoadjuvant therapy. Method: Three radiologists examined, in triple-blind modality, the MRIs of 80 patients performed before the start of chemotherapy, after three months from the start of treatment, and after surgery. They identified the portion of fibroglandular tissue (FGT) and BPE of the contralateral breast to the tumor in the basal control pre-treatment (baseline). Results: We observed a reduction of BPE classes in serial MRI checks performed during neoadjuvant therapy, as compared to baseline pre-treatment conditions, in 61.3% of patients in the intermediate step, and in 86.7% of patients in the final step. BPE reduction was significantly associated with sequential anthracyclines/taxane administration in the first cycle of neoadjuvant therapy compared to anti-HER2 containing therapies. The therapy response was also significantly related to tumor size. There were no associations with menopausal status, fibroglandular tissue (FGT) amount, age, BPE baseline, BPE in intermediate, and in the final MRI step. Conclusions: The measured variability of this parameter during therapy could predict therapy effectiveness in early stages, improving decision-making in the perspective of personalized medicine. Our preliminary results suggest that BPE may represent a predictive factor in response to neoadjuvant therapy in breast cancer, warranting future investigations in conjunction with radiomics.

Simple Summary Sentinel lymph node biopsy procedure is time consuming and expensive, but it is still the intra-operative exam capable of the best performance. However, sometimes, surgery is achieved without a clear diagnosis, so clinical decision support systems developed with artificial intelligence techniques are essential to assist current diagnostic procedures. In this work, we evaluated the usefulness of a CancerMath tool in the sentinel lymph nodes positivity prediction for clinically negative patients. We tested it on 993 patients referred to our institute characterized by sentinel lymph node status, tumor size, age, histologic type, grading, expression of estrogen receptor, progesterone receptor, HER2, and Ki-67. By training the CancerMath (CM) model on our dataset, we reached a sensitivity value of 72%, whereas the online one was 46%, despite a specificity reduction. It was found the addiction of the prognostic factors Her2 and Ki67 could help improve performances on the classification of particular types of patients. Abstract In the absence of lymph node abnormalities detectable on clinical examination or imaging, the guidelines provide for the dissection of the first axillary draining lymph nodes during surgery. It is not always possible to arrive at surgery without diagnostic doubts, and machine learning algorithms can support clinical decisions. The web calculator CancerMath (CM) allows you to estimate the probability of having positive lymph nodes valued on the basis of tumor size, age, histologic type, grading, expression of estrogen receptor, and progesterone receptor. We collected 993 patients referred to our institute with clinically negative results characterized by sentinel lymph node status, prognostic factors defined by CM, and also human epidermal growth factor receptor 2 (HER2) and Ki-67. Area Under the Curve (AUC) values obtained by the online CM application were comparable with those obtained after training its algorithm on our database. Nevertheless, by training the CM model on our dataset and using the same feature, we reached a sensitivity median value of 72%, whereas the online one was equal to 46%, despite a specificity reduction. We found that the addition of the prognostic factors Her2 and Ki67 could help improve performances on the classification of particular types of patients with the aim of reducing as much as possible the false positives that lead to axillary dissection. As showed by our experimental results, it is not particularly suitable for use as a support instrument for the prediction of metastatic lymph nodes on clinically negative patients.

Breast cancer (BC) heterogeneity is composite in nature, with a wide variety of factors concurring to define several pathological entities, which differ by clinical presentation, pathologic features, therapy administered, and inherent outcomes1. Additional sources of breast cancer heterogeneity may raise during the disease course. In BC patients whose disease was initially diagnosed in the early stage and subsequently progressed with metastatic involvement of one single or multiple site/s, the molecular characteristics of metastatic lesions do not necessary mimic those of the disease initially diagnosed. A well-depicted molecular landscape is crucial for subtype definition, prognostic evaluation and appropriate therapeutic decisions. Accordingly, current guidelines suggest repeating the immunohistochemical (IHC) assessment in patients with metastatic spread and at least one secondary lesion amenable to biopsy2. Discordance in human epidermal growth factor receptor 2 (HER2) status between the tumor and metastatic lesions is widely acknowledged, and not yet completely unraveled in their biologic meaning and prognostic relevance3–11. The overexpression of HER2 or amplification of the related gene is extensively recognized as a feature associated with more aggressive biological behavior12,13. However, the extent to which changes in HER2 status may affect patients’ prognosis is still a matter of debate14. We herein propose an observational study of HER2-positive metastatic breast cancer (mBC) patients treated with the anti-HER2 targeted agents pertuzumab and/or trastuzumab emtansine (T-DM1). Our research question is whether relevant differences exist in long-term outcomes of patients with concordant HER2 status between the primary tumor and its secondary lesion/s compared to patients whose disease revealed HER2-positivity gain at the IHC assessment of metastatic lesions. In our historical cohorts, we also sought to identify factors associated with HER2-positivity gain at the IHC reassessment, for which an impact on prognosis may be foreseen.

BackgroundHER2-targeting agents have dramatically changed the therapeutic landscape of HER2+ advanced breast cancer (ABC). Within a short time frame, the rapid introduction of new therapeutics has led to the approval of pertuzumab combined with trastuzumab and a taxane in first-line, and trastuzumab emtansine (T-DM1) in second-line. Thereby, evidence of T-DM1 efficacy following trastuzumab/pertuzumab combination is limited, with data from some retrospective reports suggesting lower activity. The purpose of the present study is to investigate T-DM1 efficacy in pertuzumab-pretreated and pertuzumab naïve HER2 positive ABC patients. We also aimed to provide evidence on the exposure to different drugs sequences including pertuzumab and T-DM1 in HER2 positive cell lines.MethodsThe biology of HER2 was investigated in vitro through sequential exposure of resistant HER2 + breast cancer cell lines to trastuzumab, pertuzumab, and their combination. In vitro experiments were paralleled by the analysis of data from 555 HER2 + ABC patients treated with T-DM1 and evaluation of T-DM1 efficacy in the 371 patients who received it in second line. Survival estimates were graphically displayed in Kaplan Meier curves, compared by log rank test and, when possibile, confirmed in multivariate models.ResultsWe herein show evidence of lower activity of T-DM1 in two HER2+ breast cancer cell lines resistant to trastuzumab+pertuzumab, as compared to trastuzumab-resistant cells. Lower T-DM1 efficacy was associated with a marked reduction of HER2 expression on the cell membrane and its nuclear translocation. HER2 downregulation at the membrane level was confirmed in biopsies of four trastuzumab/pertuzumab-pretreated patients.Among the 371 patients treated with second-line T-DM1, median overall survival (mOS) from diagnosis of advanced disease and median progression-free survival to second-line treatment (mPFS2) were 52 and 6 months in 177 patients who received trastuzumab/pertuzumab in first-line, and 74 and 10 months in 194 pertuzumab-naïve patients (p = 0.0006 and 0.03 for OS and PFS2, respectively).ConclusionsOur data support the hypothesis that the addition of pertuzumab to trastuzumab reduces the amount of available plasma membrane HER2 receptor, limiting the binding of T-DM1 in cancer cells. This may help interpret the less favorable outcomes of second-line T-DM1 in trastuzumab/pertuzumab pre-treated patients compared to their pertuzumab-naïve counterpart.

Body mass index (BMI) is a main indicator of obesity and its association with breast cancer is well established. However, little is known in the metastatic setting, especially in HER2-positive patients. We assessed the influence of BMI on clinical outcomes of patients treated with pertuzumab and/or trastuzumab emtansine (T-DM1) for HER2+ metastatic breast cancer (mBC). BMI was addressed as a categorical variable, being classified on the basis of the following ranges, that is, 18.5-24.9, 25-29.9, and 30.0-34.9, namely, normal weight, overweight, and Class I obesity. The outcomes chosen were progression-free survival to first-line chemotherapy (PFS1) and overall survival (OS). Overall (N = 709), no impact of BMI was observed on PFS1 (p = .15), while BMI ≥ 30 was associated with worse OS (p = .003). In subjects who progressed to first line (N = 575), analyzing data across PFS1 quartiles and strata of disease burden, BMI predicted lower PFS1 in patients within the I PFS1 quartile and with the lowest disease burden (p = .001). Univariate analysis showed a detrimental effect of BMI ≥ 30 on OS for women within the I PFS1 quartile (p = .03). Results were confirmed in multivariate analysis. According to PFS1 quartiles a higher percentage of patients with high BMI and low disease burden progressed within 6 months of therapy. The effect of BMI on prognosis was also confirmed in multivariate analysis of OS for overall population. In our cohort, a BMI ≥ 30 correlated with worse OS in patients with HER2+ mBC who received pertuzumab and/or T-DM1 but had no impact on PFS to first line. BMI predicted worse I PFS1 quartile.

Background: ErbB2-targeting agents have dramatically changed the therapeutic landscape of ErbB2+ advanced breast cancer (ABC). However, their optimal sequence of administration deserves further investigation.Methods: The biology of ErbB2 was investigated through sequential treatments in vitro, in ErbB2+ breast cancer cell lines resistant to trastuzumab, pertuzumab, and their combination. We analyzed data from 555 ErbB2+ ABC patients treated with trastuzumab emtansine (T-DM1) and explored the efficacy of T-DM1 in the 371 patients who received it in second-line. Survival estimates were graphically displayed in Kaplan Meier curves, compared by log rank test and, when possibile, confirmed in multivariate models.Results: We show here lower activity of T-DM1 in two HER2+ breast cancer cell lines resistant to trastuzumab+pertuzumab, as compared to trastuzumab-resistant cells. Reduced T-DM1 efficacy is associated with a marked reduction of HER2 expression on the cell membrane and its nuclear translocation. Membrane-HER2 downregulation was confirmed in biopsies of four trastuzumab/pertuzumab-pretreated patients. Among 371 patients treated with second-line T-DM1, median overall survival (mOS) from diagnosis and median progression-free survival to second-line treatment (mPFS2) were 52 and 6 months in 177 patients who received trastuzumab/pertuzumab in first-line, and 74 and 10 months in 194 pertuzumab-naïve patients (p=0.0006 and 0.03 for OS and PFS2, respectively). Conclusions: Our data support the hypothesis that the addition of pertuzumab to trastuzumab reduces the amount of available plasma membrane HER2 receptor, limiting the binding of T-DM1 to cancer cells. This may help interpret the less favorable outcomes of second-line T-DM1 in trastuzumab/pertuzumab pre-treated patients compared to their pertuzumab-naïve counterpart.

Characterization of breast cancer into intrinsic molecular profiles has allowed women to live longer, undergoing personalized treatments. With the aim of investigating the relation between different values of ki67 and the predisposition to develop a breast cancer-related IDE at different ages, we enrolled 900 patients with a first diagnosis of invasive breast cancer, and we partitioned the dataset into two sub-samples with respect to an age value equal to 50 years. For each sample, we performed a Kaplan–Meier analysis to compare the IDE-free survival curves obtained with reference to different ki67 values. The analysis on patients under 50 years old resulted in a p-value < 0.001, highlighting how the behaviors of patients characterized by a ki67 ranging from 10% to 20% and greater than 20% were statistically significantly similar. Conversely, patients over 50 years old characterized by a ki67 ranging from 10% to 20% showed an IDE-free survival probability significantly greater than patients with a ki67 greater than 20%, with a p-value of 0.01. Our work shows that the adoption of two different ki67 values, namely, 10% and 20%, might be discriminant in designing personalized treatments for patients under 50 years old and over 50 years old, respectively.

We carried out a retrospective observational study of 264 HER2-positive advanced breast cancer (ABC) patients to explore the efficacy of first-line treatment with pertuzumab/trastuzumab/taxane in real-world setting. Survival data were analyzed by Kaplan Meier curves and log rank test. Median follow-up, length of pertuzumab/trastuzumab/taxane treatment and of pertuzumab, trastuzumab maintenance were 21, 4 and 15 months, respectively. The response rate was 77.3%, and the clinical benefit rate 93.6%. Median progression-free survival (mPFS) was 21 months, and median overall survival (mOS) was not reached. When comparing patients by trastuzumab-pretreatment, similar PFS were observed, although a longer OS was reached in trastuzumab-naïve patients (p = 0.02). Brain metastases at baseline and their development in course of therapy were associated with significantly shorter PFS (p = 0.0006) and shorter OS, although at a not fully statistically relevant extent (p = 0.06). The addition of maintenance endocrine therapy (ET) to pertuzumab/trastuzumab maintenance was associated with longer PFS (p = 0.0001), although no significant differences were detected in OS (p = 0.31). Results were confirmed by propensity score analysis (p = 0.003 and p = 0.46, respectively). In multivariate models, longer PFS was related to lower Performance Status (PS) (p = 0.07), metastatic stage at diagnosis (p = 0.006) and single metastatic site (p