P16 but not retinoblastoma expression is related to clinical outcome in no-special-type triple-negative breast carcinomas.

Triple-negative breast carcinomas represent a tumor group of pivotal clinical importance given the lack of target therapies. The prognostic significance of triple-negative breast carcinomas remains unclear because of their histological and molecular heterogeneity. Currently, neither prognostic nor predictive factors are available for these tumors. Retinoblastoma (Rb) pathway loss has been linked to clinical outcome in various cancer types, including breast cancer. We investigated the association between Rb and p16 protein expression and clinical outcome in no-special-type triple-negative breast carcinomas. Immunohistochemical staining for Rb, p16, p53 and CK5 was carried out on a section from archival specimens of 117 no-special-type triple-negative breast carcinomas. Immunopositive p16 (p16+) and immunonegative Rb (Rb-) staining were seen in 49.5% and in 24.8% of tumors, respectively. There was an inverse correlation between p16+ and Rb- (P<0.001). P16+ was correlated with G3 grade (P<0.001), high Ki-67 (P=0.03), p53 overexpression (P<0.001) and CK5 immunopositivity (P=0.01). Rb- was not associated with any clinicopathologic variable. Follow-up and therapy data were available in 95 patients. In 20 patients treated with surgery only, neither p16+ nor Rb- immunostaining were associated with disease-free survival and overall survival. In 75 patients treated with adjuvant chemotherapy, p16+ was associated with good response to therapy with significant increased disease-free survival (P=0.001) and showed a trend towards a statistical significance for increased overall survival (P=0.056); Rb- were not associated with disease-free survival and overall survival. In multivariate analysis, p16+ was independently associated with disease-free and overall survival, with a hazard ratio of 0.18 (95% CI: 0.06-0.51; P=0.001) and 0.21 (95% CI: 0.06-0.74; P=0.015), respectively. In patients with no-special-type triple-negative breast carcinomas, p16+ is related to good response to adjuvant chemotherapy and can be considered the best surrogate marker for Rb pathway loss.

Deep Neural Network Integrated into Network-Based Stratification (D3NS): A Method to Uncover Cancer Subtypes from Somatic Mutations.

(1) Background: The identification of tumor subtypes is fundamental in precision medicine for accurate diagnoses and personalized therapies. Cancer development is often driven by the accumulation of somatic mutations that can cause alterations in tissue functions and morphologies. In this work, a method based on a deep neural network integrated into a network-based stratification framework (D3NS) is proposed to stratify tumors according to somatic mutations. (2) Methods: This approach leverages the power of deep neural networks to detect hidden information in the data by combining the knowledge contained in a network of gene interactions, as typical of network-based stratification methods. D3NS was applied using real-world data from The Cancer Genome Atlas for bladder, ovarian, and kidney cancers. (3) Results: This technique allows for the identification of tumor subtypes characterized by different survival rates and significant associations with several clinical outcomes (tumor stage, grade or response to therapy). (4) Conclusion: D3NS can provide a base model in cancer research and could be considered as a useful tool for tumor stratification, offering potential support in clinical settings.

Activity of sotorasib against brain metastases from NSCLC harboring KRAS p.G12C mutation: a case report.

In the CodeBreaK 100 phase 2 study, sotorasib was active for patients with metastatic non-small cell lung cancer (NSCLC) harboring Kirsten rat sarcoma viral oncogene homologue (KRAS) p.G12C mutation. However, patients with untreated and/or active brain metastases were excluded from the trial, and the activity of sotorasib in the setting of brain metastases should be further investigated. Here we report the case of a KRAS p.G12C mutant NSCLC patient with three brain metastases, of whom one was untreated and the other two had progressed after radiotherapy with symptoms requiring steroids, that responded to sotorasib. Our report suggests that sotorasib may be active against untreated or progressive brain metastases, supporting further evaluation of sotorasib in this setting.

Humoral Effect of SARS-CoV-2 mRNA vaccination with booster dose in solid tumor patients with different anticancer treatments.

Introduction: Cancer patients are at risk for serious complications in case of SARS-CoV-2 infection. In these patients SARS-CoV-2 vaccination is strongly recommended, with the preferential use of mRNA vaccines. The antibody response in cancer patients is variable, depending on the type of cancer and antitumoral treatment. In solid tumor patients an antibody response similar to healthy subjects has been confirmed after the second dose. Only few studies explored the duration of immunization after the two doses and the effect of the third dose. Methods: In our study we explored a cohort of 273 solid tumor patients at different stages and treated with different anticancer therapies. Results and Discussion: Our analysis demonstrated that the persistence of the neutralizing antibody and the humoral response after the booster dose of vaccine was not dependent on either the tumor type, the stage or type of anticancer treatment.

The Impact of NUTRItional Status at First Medical Oncology Visit on Clinical Outcomes: The NUTRIONCO Study.

Malnutrition affects up to 75% of cancer patients and results from a combination of anorexia and metabolic dysregulation. Metabolic and nutritional abnormalities in cancer patients can lead to cachexia, a multifactorial syndrome characterized by involuntary loss of skeletal muscle mass, systemic inflammation and increased protein catabolism. Cancer cachexia negatively affects patients' outcomes, response to anticancer treatments, quality of life, and survival. However, risk of malnutrition, and cachexia are still under-recognized in cancer patients. The Prevalence of Malnutrition in Oncology (PreMiO) study revealed that 51% of patients already had nutritional deficiencies at their first medical oncology visit. Here, we report the results of the subsequent retrospective, observational NUTRItional status at first medical oncology visit ON Clinical Outcomes (NUTRIONCO) study, aimed at assessing the impact of baseline nutritional and non-nutritional variables collected in the PreMiO study on the clinical outcomes of the same patients followed up from August 2019 to October 2021. We have highlighted a statistically significant association between baseline variables and patient death, rehospitalization, treatment toxicity, and disease progression at follow-up. We found a higher overall survival probability in the well-nourished general study population vs. malnourished patients (p < 0.001). Of major interest is the fact that patient stratification revealed that malnutrition decreased survival probability in non-metastatic patients but not in metastatic patients (p < 0.001). Multivariate analysis confirmed that baseline malnutrition (p = 0.004) and VAS score for appetite loss (p = 0.0104), in addition to albumin < 35 g/L (p < 0.0001) and neutrophil/lymphocyte ratio > 3 (p = 0.0007), were independently associated with the death of non-metastatic patients at follow-up. These findings highlight the importance of proactive, early management of malnutrition and cachexia in cancer patients, and in particular, in non-metastatic patients, from the perspective of a substantial improvement of their clinical outcomes.

Neoadjuvant Systemic Therapy in Early Breast Cancer: Results of a Prospective Observational Multicenter BRIDE Study.

To evaluate the rate of early breast cancer (EBC) patients treated with neoadjuvant systemic therapy (NAT) in Italy, criteria of patient selection and types of therapies delivered, an analysis of 1276 patients with stage I-II-III was conducted out of 1633 patients enrolled in the multicenter prospective observational BRIDE study. A total of 177 patients (13.9%) were treated with NAT and 1099 (85.9%) with surgery; in multivariate analysis, menopausal status, cT, cN, grade, HER2-positive and Triple negative (TN) subgroups were significantly associated with the decision to administer NAT. The type of NAT delivered was influenced by EBC subtype. NAT was administered to 53.2% of HER2+/HR-negative, 27.9% of HER2+/HR+, 7.1% of HER2-negative/HR+ and 30.3% of TN EBC patients. The pCR rates were similar to the ones reported in the literature: 74.2% in HER2+/HR-negative, 52.3% in HER2+/HR+, 17.2% in HER2-negative/HR+ and 37.9% in TN. In clinical practice, patient and tumor characteristics influenced oncologists in the decision to administer NAT in EBC and in the choice of the type of systemic therapy, according to ESMO and AIOM Guidelines. Currently, it is recommended always to evaluate the use of NAT in EBC, mainly in HER2+ and TN patients, considering that pCR is associated with significantly better survival of the patient and that effective therapies are now available for residual disease.

The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy.

Introduction: The role of fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in early breast cancer treated with preoperative systemic therapy (PST) is not yet established in clinical practice. PET parameters have aroused great interest in the recent years, as non-invasive dynamic biological markers for predicting response to PST. Methods: In this retrospective study, we included 141 patients with stage II-III breast cancer who underwent surgery after PST. Using ROC analysis, we set optimal cutoff of FDG-PET/CT parameters predictive for pathological complete response (pCR). We investigated the correlation between FDG-PET/CT parameters and pCR, median disease-free survival (DFS), and median overall survival (mOS). Results: At multivariable analysis, baseline SUVmax (high vs low: OR 9.00, CI 1.85 - 61.9, p=0.012) and Delta SUVmax (high vs low: OR 9.64, CI 1.84, 69.2, p=0.012) were significantly associated with pCR rates. Interestingly, we found that a combined analysis of the metabolic parameter Delta SUVmax with the volume-based parameter Delta MTV, may help to identify patients with pCR, especially in the subgroup of hormone receptor positive breast cancer. Delta SUVmax was also an independent predictive marker for both mDFS (high vs low: HR 0.17, 95%CI 0.05-0.58, p=0.004) and mOS (high vs. low: HR 0.19, 95%CI 0.04-0.95, p=0.029). Discussion: Our results suggest that Delta SUVmax may predict survival of early BC patients treated with PST.

The HERBA Study: A Retrospective Multi-Institutional Italian Study on Patients With Brain Metastases From HER2-Positive Breast Cancer.

BACKGROUND: There is no sufficient evidence to establish a standard of care for patients with brain metastases (BM) from HER2+ breast cancer (BC). The aim of this study was to assess the impact of local and systemic treatments on the outcome of patients diagnosed with BM from HER2+ BC over a period of 10 years, from 2005 to 2014. PATIENTS AND METHODS: Data of 154 patients were retrospectively collected at 14 Italian institutions through a specifically designed database. RESULTS: Median overall survival (OS) was 24.5 months. Patients receiving surgery/stereotactic radiosurgery experienced longer OS compared to those receiving whole-brain radiotherapy or no treatment (33.5 vs. 11.4 months; hazard ratio = 0.34; 95% confidence interval, 0.22-0.52; P < .001). Interestingly, whole-brain radiotherapy did not improve OS compared to no treatment (11.4 vs. 9.8 months; hazard ratio = 0.99; 95% confidence interval, 0.62-1.62; P = .99). HER2-targeted therapy was associated with better OS compared to systemic therapy without HER2-targeted therapy or no systemic therapy (27.5 vs. 5.4 months; hazard ratio = 0.26; 95% confidence interval, 0.17-0.41; P < .001). At multivariate analysis stratified by local treatments, systemic therapy, Karnofsky performance status, and neurologic symptoms significantly affected OS. Age, number of BM, steroid therapy, number of previous lines of systemic therapy, status of extracranial disease, and period of diagnosis had no significant impact on OS. CONCLUSION: Patients with BM from HER2+ BC treated with surgery/stereotactic radiosurgery as local treatment and HER2-targeted therapy as systemic treatment experienced the best outcomes. Patients with low Karnofsky performance status and neurologic symptoms had poor survival.

Molecular Biology Can Change the Classic Laboratory Approach for Intestinal Protozoan Infections.

For many years microscopy has been considered the mainstay of the diagnosis of parasitic infections. In our laboratory, before the advent of molecular biology, the approach for the identification of parasitic infections in stools was the microscopic exam of three samples. Once we adopted molecular biology, a real-time PCR on one single sample was added to the classical coproparasitological exam of three samples. Given the high sensitivity of real-time PCR (Rt-PCR), we then decided to evaluate if a change of our routine was justified. In detail, we intended to assess if a much more practical routine, based on the analysis of a single fecal sample, was sufficiently sensitive to replace the routine described above. The new approach to be evaluated included, on the same and unique fecal sample, a classical coproparasitological exam plus Rt-PCR. The data obtained showed that the sensitivity of the new proposed approach remains very high, despite the reduction of coproparasitological exams from three to one, with the advantage of reducing costs and saving time, both for patients and for the laboratory.