Intra-tumor heterogeneity (ITH) results from the coexistence of genetically distinct cancer cell (sub)populations, their phenotypic plasticity, and the presence of heterotypic components of the tumor microenvironment (TME). Here we addressed the potential association between phenotypic ITH revealed by mass spectrometry imaging (MSI) and the prognosis of breast cancer. Tissue specimens resected from 59 patients treated radically due to the locally advanced HER2-positive invasive ductal carcinoma were included in the study. After the on-tissue trypsin digestion of cellular proteins, peptide maps of all cancer regions (about 380,000 spectra in total) were segmented by an unsupervised approach to reveal their intrinsic heterogeneity. A high degree of similarity between spectra was observed, which indicated the relative homogeneity of cancer regions. However, when the number and diversity of the detected clusters of spectra were analyzed, differences between patient groups were observed. It is noteworthy that a higher degree of heterogeneity was found in tumors from patients who remained disease-free during a 5-year follow-up (n = 38) compared to tumors from patients with progressive disease (distant metastases detected during the follow-up, n = 21). Interestingly, such differences were not observed between patients with a different status of regional lymph nodes, cancer grade, or expression of estrogen receptor at the time of the primary treatment. Subsequently, spectral components with different abundance in cancer regions were detected in patients with different outcomes, and their hypothetical identity was established by assignment to measured masses of tryptic peptides identified in corresponding tissue lysates. Such differentiating components were associated with proteins involved in immune regulation and hemostasis. Further, a positive correlation between the level of tumor-infiltrating lymphocytes and heterogeneity revealed by MSI was observed. We postulate that a higher heterogeneity of tumors with a better prognosis could reflect the presence of heterotypic components including infiltrating immune cells, that facilitated the response to treatment.

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Objectives This study evaluated the usefulness of artificial intelligence (AI) algorithms as tools in improving the accuracy of histologic classification of breast tissue. Methods Overall, 100 microscopic photographs (test A) and 152 regions of interest in whole-slide images (test B) of breast tissue were classified into 4 classes: normal, benign, carcinoma in situ (CIS), and invasive carcinoma. The accuracy of 4 pathologists and 3 pathology residents were evaluated without and with the assistance of algorithms. Results In test A, algorithm A had accuracy of 0.87, with the lowest accuracy in the benign class (0.72). The observers had average accuracy of 0.80, and most clinically relevant discordances occurred in distinguishing benign from CIS (7.1% of classifications). With the assistance of algorithm A, the observers significantly increased their average accuracy to 0.88. In test B, algorithm B had accuracy of 0.49, with the lowest accuracy in the CIS class (0.06). The observers had average accuracy of 0.86, and most clinically relevant discordances occurred in distinguishing benign from CIS (6.3% of classifications). With the assistance of algorithm B, the observers maintained their average accuracy. Conclusions AI tools can increase the classification accuracy of pathologists in the setting of breast lesions.

Introduction: Cytological material obtained from Fine Needle Aspiration Biopsy (FNAB) does not permit us to distinguish between follicular carcinomas, adenomas, and hyperplastic nodules. The limitations of the method are: lack of possibility to assess the presence of tumour capsule, eventual capsular invasion, and angioinvasion. An unequivocal conclusion of whether what we have to deal with is a neoplastic or benign lesion is possible only after histopathological examination. The aim of the study was to confirm justification for using the term "Suspicious for Follicular Neoplasm" (SFN) in cytological diagnostics of thyroid carcinoma.

Introduction: Follicular Lesion of Undetermined Significance (FLUS) belongs to the most controversial category of the Bethesda System. The aim of the study was to specify the risk of malignancy in patients with FLUS diagnosis in the material from the Institute of Oncology in Gliwice. This is the first Polish study specifying the risk of malignant neoplasm presence when Fine-Needle Aspiration Biopsy (FNAB) results in a report of diagnostic category III (DC III). Material and methods: Three hundred and ninety-five primary DC III diagnoses from FNABs of the thyroid gland performed from 2010 to 2015 were analysed. Correspondence of DC III with diagnoses from repeated FNABs and histopathology reports was evaluated. Results: From 395 DC III patients, 27 were treated surgically for clinical indications, receiving six diagnoses of cancer. Repeat FNAB was performed in 180 cases, and primary diagnosis was confirmed in 41 cases. In the second FNAB there was one diagnosis of "Papillary Thyroid Carcinoma" and one "Suspicious for Papillary Thyroid Carcinoma". From eight patients treated surgically in these series prior cytological cancer diagnosis was confirmed in two cases. Forty-six patients were subjected to third and subsequent FNABs; in one case the diagnosis was "Suspicious for Malignancy". In the analysed material the risk of cancer in patients with FLUS is 2.78%. Taking into account all 56 subsequent FNABs in which the primary diagnosis was confirmed, the risk decreases to 2.43%. Conclusions:The diagnosis of FLUS in the absence of clinical indications is not a basis for surgical treatment.

Fine needle aspiration biopsy (FNA) is the only diagnostic method that allows a preoperative diagnosis of thyroid carcinoma. An unequivocal diagnosis of a malignant change is achievable only in cases in which all cytological criteria of carcinoma are met. The aim of the study was to evaluate the necessity of repeat thyroid FNA in patients with papillary thyroid carcinoma verified on consultative examination (CE). We analyzed cytology reports of thyroid FNA and CE that resulted in the diagnosis of papillary carcinoma. Evaluation of the correlation of the cytological diagnosis with the histopathology report was based on data obtained after the surgery. Between 2010 and 2015 in the Institute of Oncology (IO) there were 184 cancers diagnosed on CE or in thyroid FNA performed primarily in IO. Additionally, 74 patients were subjected to repeat biopsy after confirmation of cancer in CE. Histopathological diagnosis of cancer was obtained in 62 (100%) cases that were doubly confirmed with cytological examination. The remaining 12 patients were operated on outside the institute. From 110 FNA primarily performed in the IO, histopathological verification was achievable in 92 cases, from which 92 (100%) provided a confirmation of cancer, and the remaining 18 patients were operated on outside the institute. High (100%) specificity of cancer diagnosis in FNA established primarily and verified on CE (second independent assessment) indicates that repeat FNA in order to confirm the diagnosis is unnecessary.