Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence.

Effective risk assessment in early breast cancer is essential for informed clinical decision-making, yet consensus on defining risk categories remains challenging. This paper explores evolving approaches in risk stratification, encompassing histopathological, immunohistochemical, and molecular biomarkers alongside cutting-edge artificial intelligence (AI) techniques. Leveraging machine learning, deep learning, and convolutional neural networks, AI is reshaping predictive algorithms for recurrence risk, thereby revolutionizing diagnostic accuracy and treatment planning. Beyond detection, AI applications extend to histological subtyping, grading, lymph node assessment, and molecular feature identification, fostering personalized therapy decisions. With rising cancer rates, it is crucial to implement AI to accelerate breakthroughs in clinical practice, benefiting both patients and healthcare providers. However, it is important to recognize that while AI offers powerful automation and analysis tools, it lacks the nuanced understanding, clinical context, and ethical considerations inherent to human pathologists in patient care. Hence, the successful integration of AI into clinical practice demands collaborative efforts between medical experts and computational pathologists to optimize patient outcomes.

IDH1 mutation is detectable in plasma cell-free DNA and is associated with survival outcome in glioma patients.

BACKGROUND: Circulating cell-free DNA (cfDNA, liquid biopsy) is a powerful tool to detect molecular alterations. However, depending on tumor characteristics, biology and anatomic localization, cfDNA detection and analysis may be challenging. Gliomas are enclosed into an anatomic sanctuary, which obstacles the release of cfDNA into the peripheral blood. Therefore, the advantages of using liquid biopsy for brain tumors is still to be confirmed. The present study evaluates the ability of liquid biopsy to detect IDH1 mutations and its correlation with survival and clinical characteristics of glioma patients. METHODS: Blood samples obtained from glioma patients were collected after surgery prior to the adjuvant therapy. cfDNA was extracted from plasma and IDH1 p.R132H mutation analysis was performed on a digital droplet PCR. χ2-test and Cohen k were used to assess the correlation between plasma and tissue IDH1 status, while Kaplan Meier curve and Cox regression analysis were applied to survival analysis. Statistical calculations were performed by MedCalc and GraphPad Prism software. RESULTS: A total of 67 samples were collected. A concordance between IDH1 status in tissue and in plasma was found (p = 0.0024), and the presence of the IDH1 mutation both in tissue (138.8 months vs 24.4, p < 0.0001) and cfDNA (116.3 months vs 35.8, p = 0.016) was associated with longer median OS. A significant association between IDH1 mutation both in tissue and cfDNA, age, tumor grade and OS was demonstrated by univariate Cox regression analysis. No statistically significant association between IDH1 mutation and tumor grade was found (p = 0.10). CONCLUSIONS: The present study demonstrates that liquid biopsy may be used in brain tumors to detect IDH1 mutation which represents an important prognostic biomarker in patients with different types of gliomas, being associated to OS.

Shedding light on PRAME expression in dysplastic nevi: a cohort study.

Dysplastic nevi represent one of the least agreed-upon entities in dermatopathology despite the existence of established criteria. This study explores preferentially expressed antigen in melanoma (PRAME) in dysplastic nevi, an uncharted area. We examined 22 common melanocytic nevi (CMN), 20 cutaneous melanomas (CM), 48 low-grade dysplastic nevi (LG-DN), and 40 high-grade dysplastic nevi (HG-DN). PRAME was immunohistochemically assessed using a five-tiered system (0 to 4 +). Among CMN, 59% scored 0, 32% scored 1 + , and 9% scored 2 + . CM had score 2 + and 4 + in 11% and 89% of cases, respectively. Among LG-DN, 38% presented score 0, 31% score 1 + , 17% score 2 + , 8% score 3 + , and 6% score 4 + . Thirty per cent of HG-DN demonstrated a score 0, 30% with score 1 + , 15% score 2 + , 10% score 3 + , and 15% score 4 + . Compared to CMN and CM, LG-DN and HG-DN showed heterogeneous expression profiles of PRAME. PRAME positivity effectively distinguished HG-DN from CM with 85% specificity and 80% sensitivity (p < 0.0001). Predictive values were 87% (negative) and 76% (positive). Furthermore, a trend of increased PRAME expression from LG-DN to HG-DN was observed. However, the applicability of PRAME in the differential diagnosis of dysplastic lesions remains unclear as can yield conflicting results with morphology, which remains the primary diagnostic tool for melanocytic lesions.

Think "HER2" different: integrative diagnostic approaches for HER2-low breast cancer.

This work explores the complex field of HER2 testing in the HER2-low breast cancer era, with a focus on methodological aspects. We aim to propose clear positions to scientific societies, institutions, pathologists, and oncologists to guide and shape the appropriate diagnostic strategies for HER2-low breast cancer. The fundamental question at hand is whether the necessary tools to effectively translate our knowledge about HER2 into practical diagnostic schemes for the lower spectrum of expression are available. Our investigation is centered on the significance of distinguishing between an immunohistochemistry (IHC) score 0 and score 1+ in light of the clinical implications now apparent, as patients with HER2-low breast cancer become eligible for trastuzumab-deruxtecan treatment. Furthermore, we discuss the definition of HER2-low beyond its conventional boundaries and assess the reliability of established diagnostic procedures designed at a time when therapeutic perspectives were non-existent for these cases. In this regard, we examine potential complementary technologies, such as gene expression analysis and liquid biopsy. Ultimately, we consider the potential role of artificial intelligence (AI) in the field of digital pathology and its integration into HER2 testing, with a particular emphasis on its application in the context of HER2-low breast cancer.

Disseminated bone metastases from occult thyroid cancer effectively treated with debulking surgery and a single dosimetry-guided administration of radioiodine / Metástasis óseas diseminadas de un carcinoma de tiroides oculto tratado efectivamente con cirugía citorreductora y administración simple de radioyodo rastreado con dosimetría

In this paper we report on a successful management of multiple bone metastases from differentiated thyroid cancer. In 2007, a 75-year-old female patient, previously referred for thyroidectomy for multinodular goiter, underwent surgical removal of a lumbar mass with histological findings of metastasis from well differentiated thyroid cancer. After surgery, serum thyroglobulin (sTg) was 204.4 ng/mL. A diagnostic/dosimetric 123 I WBS was performed, following stimulation by rTSH. Serial WBSs were acquired, along with SPECT/CT and bone scan for localization of lesions. sTg raised to 3.810 ng/mL, and 123 I WBS showed thyroid remnants and numerous areas with high iodine-uptake corresponding to skeletal sites, the two largest loading on the skull, with osteolytic pattern. Calculated radiation absorbed dose for skull lesions, determined by mean of MIRD methodology, was 63.5 mGy/MBq. The patient underwent surgical removal of the two major skull lesions. Successively, 100mCi 131I was administered after stimulation by rTSH, with stimulated sTg 297 ng/mL. After 8 months, diagnostic WBS was negative both for remnants and metastases and rTSH-stimulated Tg was 0.6 ng/mL. To date, the patient has maintained sTg values <1 ng/mL during L-T4 suppressive therapy and after rTSH stimulations. In this unusual case of extensive bone cancerous involvement with high iodine avidity, a multidisci-plinary approach based on surgery and dosimetry-guided radiometabolic therapy allowed to accurately assess the patient, execute a small number of treatments and achieve a complete remission of the disease in a very short time, with no additive morbidity (AU)

En este trabajo presentamos el abordaje adecuado de múltiples metástasis óseas de un cáncer diferenciado de tiroides. En 2007, una mujer de 75 años previamente remitida para tiroidectomía por bocio multinodular, se sometió a la extirpación quirúrgica de una masa lumbar con resultado histológico de metástasis de cáncer bien diferenciado de tiroides. Tras la cirugía, los niveles séricos de tiroglobulina (Tgs) fueron 204,4 ng/ml. Se realizó un rastreo de cuerpo completo diagnóstico/dosimétrico con 123 I después de la estimulación con rTSH. Se adquirieron rastreos seriados junto con SPECT/TC y gammagrafía ósea para la localización de las lesiones. Los niveles de Tgs se elevaron a 3810 ng/ml, y el rastreo de cuerpo completo con 123 I demostró captación en restos tiroideos y en numerosas localizaciones esqueléticas, las dos de mayor tamaño en la calota con un patrón osteolítico. La dosis absorbida calculada para las lesiones de calota, determinada mediante metodología MIRD, fue 63,5 mGy/MBq. Se extirparon mediante cirugía las 2 lesiones de la calota. Posteriormente, se administraron 100 mCi 131 I tras la estimulación con rTSH y unos niveles de Tgs 297 ng/ml. Después de 8 meses, el rastreo diagnóstico de cuerpo completo fue negativo tanto para los restos tiroideos como para las metástasis y la Tgs estimulada con rTSH fue 0,6 ng/ml. En la actualidad, la paciente ha mantenido valores de Tgs <1 ng/ml durante la terapia supresora con T4L y después de la estimulación con rTSH. En este caso poco habitual de extensa afectación metastásica ósea con elevada captación de radioiodo, una estrategia multidisciplinaria basada en cirugía y radioterapia metabólica según dosimetría permitió evaluar con precisión a la paciente, administrar un número pequen ̃o de tratamientos y alcanzar una remisión completa de la enfermedad en muy breve tiempo, sin originar morbilidad adicional (AU)