Cancer risk and male Infertility: Unravelling predictive biomarkers and prognostic indicators.

In recent years, there has been a global increase in cases of male infertility. There are about 30 million cases of male infertility worldwide and male reproductive health is showing rapid decline in last few decades. It is now recognized as a potential risk factor for developing certain types of cancer, particularly genitourinary malignancies like testicular and prostate cancer. Male infertility is considered a potential indicator of overall health and an early biomarker for cancer. Cases of unexplained male factor infertility have high levels of oxidative stress and oxidative DNA damage and this induces both denovo germ line mutations and epimutations due to build up of 8-hydroxy 2 deoxygunaosine abase which is highly mutagenic and also induces hypomethylation and genomic instability. Consequently, there is growing evidence to explore the various factors contributing to an increased cancer risk. Currently, the available prognostic and predictive biomarkers associated with semen characteristics and cancer risk are limited but gaining significant attention in clinical research for the diagnosis and treatment of elevated cancer risk in the individual and in offspring. The male germ cell being transcriptionally and translationally inert has a highly truncated repair mechanism and has minimal antioxidants and thus most vulnerable to oxidative injury due to environmental factors and unhealthy lifestyle and social habits. Therefore, advancing our understanding requires a thorough evaluation of the pathophysiologic mechanisms at the DNA, RNA, protein, and metabolite levels to identify key biomarkers that may underlie the pathogenesis of male infertility and associated cancer. Advanced methodologies such as genomics, epigenetics, proteomics, transcriptomics, and metabolomics stand at the forefront of cutting-edge approaches for discovering novel biomarkers, spanning from infertility to associated cancer types. Henceforth, in this review, we aim to assess the role and potential of recently identified predictive and prognostic biomarkers, offering insights into the success of assisted reproductive technologies, causes of azoospermia and idiopathic infertility, the impact of integrated holistic approach and lifestyle modifications, and the monitoring of cancer susceptibility, initiation and progression. Comprehending these biomarkers is crucial for providing comprehensive counselling to infertile men and cancer patients, along with their families.

Beyond traditional therapies: clinical significance of complex molecular profiling in patients with advanced solid tumours-results from a Turkish multi-centre study.

OBJECTIVE: The objective of this multi-centre, real-world study was to examine the potential influence of comprehensive molecular profiling on the development of treatment decisions or adjustments for patients with advanced solid malignancies. We then evaluated the impact of these informed choices on patient treatment outcomes. METHODS: The study encompassed 234 adult patients (mean age: 52.7 ± 14.3 years, 54.7% women) who were diagnosed with solid tumours at 21 different medical centres in Turkey. Remarkably, 67.9% of the patients exhibited metastasis at the time of diagnosis. We utilized an OncoDNA (Gosselies, Belgium) platform (OncoDEEP) integrating next-generation sequencing with additional tests to harvest complex molecular profiling data. The results were analyzed in relation with two specific outcomes: (i) the impact on therapeutic decisions, including formulation or modifications, and (ii) associated treatment response. RESULTS: Out of the 228 patients with final molecular profiling results, 118 (50.4%) had their treatment modified, whilst the remaining 110 (47.0%) did not. The response rates were comparable, with 3.9 versus 3.4% for complete response, 13.6 versus 29.3% for partial response, 66.9 versus 51.7% for progressive disease and 15.5 versus 15.5% for stable disease for treatments informed and not informed by complex molecular profiling, respectively (P = 0.16). CONCLUSION: Our real-world findings highlight the significant impact of complex molecular profiling on the treatment decisions made by oncologists for a substantial portion of patients with advanced solid tumours. Regrettably, no significant advantage was detected in terms of treatment response or disease control rates.

MED15::ATF1-Rearranged Tumor: A Novel Cutaneous Tumor With Melanocytic Differentiation.

We recently described novel dermal tumors with melanocytic differentiation and morphologic and biological similarities to cutaneous clear cell sarcoma, including CRTC1::TRIM11 cutaneous tumor, and clear cell tumors with melanocytic differentiation and either ACTIN::MITF or MITF::CREM. Here, we describe a series of 3 patients presenting with tumors reminiscent of CRTC1::TRIM11 cutaneous tumor, found to demonstrate a novel MED15::ATF1 fusion. All 3 patients were children (5-16 years old). Primary excision of case 1 showed a circumscribed wedge-shaped silhouette with peripheral intercalation into collagen fibers and scattered lymphoid aggregates. All 3 tumors abutted the epidermis; one showed a junctional component. Tumors were highly cellular and comprised of monomorphic, oval-to-round epithelioid cells arranged in vague nests and short fascicles in variably fibrotic stroma. Mitotic rate was high (hotspot 6-12/mm2), without atypical mitoses. Necrosis was focally present in case 3. All cases showed strong, diffuse nuclear staining for SOX10 and MITF (2/2) but showed variable expression for S100 protein (1/3) and other melanocytic markers-Melan-A (focal in 2/3), HMB45 (focal in 1/3), and Pan-Melanoma (patchy in 1/1). Whole-exome RNA sequencing demonstrated a MED15::ATF1 fusion without any other notable alterations. Cases 1 and 2 were completely excised without recurrence (12 months). Case 3 developed a grossly apparent regional lymph node spread shortly after primary biopsy. The patient was treated with wide excision, radiation, cervical lymph node dissection (4/46 with >75% lymph node replacement), and neoadjuvant and adjuvant nivolumab (alive without disease at cycle 11). This series is presented to aid in future diagnosis of this novel dermal tumor with melanocytic differentiation and emphasize the potential for aggressive biologic behavior, which should be considered in patient management planning.

[Clinicopathological study of epithelioid and spindle cell rhabdomysarcoma with EWSR1/FUS-TFCP2 fusion].

Objective: To investigate the clinicopathological and genetic features of epithelioid and spindle cell rhabdomysarcoma with EWSR1-TFCP2 or FUS-TFCP2 fusion. Methods: The clinical, morphological and immunohistochemical features of 14 cases of epithelioid and spindle cell rhabdomysarcoma with EWSR1-TFCP2 or FUS-TFCP2 fusion diagnosed from January 2019 to December 2022 in the Department of Pathology, Foshan Traditional Chinese Medicine Hospital, Foshan, China were retrospectively analyzed. The cases were all subject to FISH or next generation sequencing for analysis of molecular genetic features. The literature was reviewed. Results: There were 5 males and 9 females, with the age at presentation ranging from 6 to 36 years (mean, 22 years). Tumors occurred in the head and neck (9 cases), pelvic region (2 cases), bladder (one case), right humerus (one case), and the abdominal wall, humerus and pubic at the same time (one case). Presenting symptoms varied by location but often included pain or discomfort. Most of the patients showed aggressive radiographic features with soft tissue extension. The tumors had a median size of 6.6 cm (range, 2-23 cm). The tumors were poorly defined and irregularly shaped. Microscopic examination showed diffuse proliferation of spindle or epithelioid cells. While morphologically high-grade tumors displayed obvious cytological atypia, a high mitotic count and tumor necrosis, low-grade tumors grew in sheets and fascicles composed of spindle, epithelioid cells with moderate or abundant amounts of eosinophilic cytoplasm, without pronounced cytological atypia. The tumor cells expressed Desmin, MyoD1, and Myogenin, as well as ALK, EMA, and CKpan. EWSR1/FUS-TFCP2 gene fusion was detected in 14 cases with next generation sequencing and confirmed by FISH. Six cases had EWSR1-TFCP2 fusions and 8 cases showed FUS-TFCP2 fusions. Follow-up information was available in 13 patients, ranged from 5 to 37 months. At the end of follow-up period, 7 patients died of the disease. Six patients were alive:two cases had local recurrences and metastases, two cases of recurrences, one case of metastasis and one case without recurrences and metastasis. Conclusions: Epithelioid and spindle cell rhabdomysarcomas with EWSR1-TFCP2 or FUS-TFCP2 fusion show a very aggressive clinical course, and more commonly occur in the head and neck. Their genetic hallmark is the presence of EWSR1/FUS-TFCP2 fusions. Familiarity with its clinicopathological characteristics is helpful in avoiding misdiagnoses.

Combinatorial Gene Expression Profiling of Serum HULC, HOTAIR, and UCA1 lncRNAs to Differentiate Hepatocellular Carcinoma from Liver Diseases: A Systematic Review and Meta-Analysis.

Hepatocellular carcinoma (HCC) presents a significant global health challenge due to limited early detection methods, primarily relying on conventional approaches like imaging and alpha-fetoprotein (AFP). Although non-coding RNAs (ncRNAs) show promise as potential biomarkers in HCC, their true utility remains uncertain. We conducted a comprehensive review of 76 articles, analyzing 88 circulating lncRNAs in 6426 HCC patients. However, the lack of a standardized workflow protocol has hampered holistic comparisons across the literature. Consequently, we herein confined our meta-analysis to only a subset of these lncRNAs. The combined analysis of serum highly upregulated in liver cancer (HULC) gene expression with homeobox transcript antisense intergenic RNA (HOTAIR) and urothelial carcinoma-associated 1 (UCA1) demonstrated markedly enhanced sensitivity and specificity in diagnostic capability compared to traditional biomarkers or other ncRNAs. These findings could have substantial implications for the early diagnosis and tailored treatment of HCC.

Measurement of microRNA-106b as a gastric cancer biomarker based on Zn-BTC MOF label-free genosensor.

Due to the late detection of stomach cancer, this cancer usually causes high mortality. The development of an electrochemical genosensor to measure microRNA 106b (miR-106b), as a gastric cancer biomarker, is the aim of this effort. In this regard, first, 1,3,5-benzenetricarboxylate (BTC) metal-organic frameworks (Zn-BTC MOF) were self-assembled on the glassy carbon electrode and then the probe (ssDNA) was immobilized on it. The morphology Zn-BTC MOF was characterized by SEM, FT-IR, Raman and X-Ray techniques. Zn-BTC MOF as a biosensor substrate has strong interaction with ssDNA. Quantitative measurement of miR-106b was performed by electrochemical impedance spectroscopy (EIS). To perform this measurement, the difference of the charge transfer resistances (ΔRct) of Nyquist plots of the ssDNA probe modified electrode before and after hybridization with miR-106b was obtained and used as an analytical signal. Using the suggested genosensor, it is possible to measure miR-106b in the concentration range of 1.0 fM to 1.0 µM with a detection limit of 0.65 fM under optimal conditions. Moreover, at the genosensor surface, miR-106b can be detected from a non-complementary and a single base mismatch sequence. Also, the genosensor was used to assess miR-106b in a human serum sample and obtained satisfactory results.

Evaluation of the international Ki67 working group cut point recommendations for early breast cancer: comparison with 21-gene assay results in a large integrated health care system.

PURPOSE: The International Ki67 Working Group (IKWG) has developed training for immunohistochemistry (IHC) scoring reproducibility and recommends cut points of ≤ 5% and ≥ 30% for prognosis in ER+, HER2-, stage I/II breast cancer. We examined scoring reproducibility following IKWG training and evaluated these cut points for selecting patients for further testing with the 21-gene Recurrence Score (RS) assay. METHODS: We included 307 women aged 50+ years with node-negative, ER+PR+HER2- breast cancer and with available RS results. Slides from the diagnostic biopsy were stained for Ki67 and scored using digital image analysis (IA). Two IHC pathologists underwent IKWG training and visually scored slides, blinded to each other and IA readings. Interobserver reproducibility was examined using intraclass correlation (ICC) and Kappa statistics. RESULTS: Depending on reader, 8.8-16.0% of our cohort had Ki67 ≤ 5% and 11.4-22.5% had scores ≥ 30%. The ICC for Ki67 scores by the two pathologists was 0.82 (95% CI 0.78-0.85); it was 0.79 (95% CI 0.74-0.83) for pathologist 1 and IA and 0.76 (95% CI 0.71-0.80) for pathologist 2 and IA. For Ki67 scores ≤ 5%, the percentages with RS < 26 were 92.6%, 91.8%, and 90.9% for pathologist 1, pathologist 2, and IA, respectively. For Ki67 scores ≥ 30%, the percentages with RS ≥ 26 were 41.5%, 51.4%, and 27.5%, respectively. CONCLUSION: The IKWG's Ki67 training resulted in moderate to strong reproducibility across readers but cut points had only moderate overlap with RS cut points, especially for Ki67 ≥ 30% and RS ≥ 26; thus, their clinical utility for a 21-gene assay testing pathway remains unclear.

MethMarkerDB: a comprehensive cancer DNA methylation biomarker database.

DNA methylation plays a crucial role in tumorigenesis and tumor progression, sparking substantial interest in the clinical applications of cancer DNA methylation biomarkers. Cancer-related whole-genome bisulfite sequencing (WGBS) data offers a promising approach to precisely identify these biomarkers with differentially methylated regions (DMRs). However, currently there is no dedicated resource for cancer DNA methylation biomarkers with WGBS data. Here, we developed a comprehensive cancer DNA methylation biomarker database (MethMarkerDB, https://methmarkerdb.hzau.edu.cn/), which integrated 658 WGBS datasets, incorporating 724 curated DNA methylation biomarker genes from 1425 PubMed published articles. Based on WGBS data, we documented 5.4 million DMRs from 13 common types of cancer as candidate DNA methylation biomarkers. We provided search and annotation functions for these DMRs with different resources, such as enhancers and SNPs, and developed diagnostic and prognostic models for further biomarker evaluation. With the database, we not only identified known DNA methylation biomarkers, but also identified 781 hypermethylated and 5245 hypomethylated pan-cancer DMRs, corresponding to 693 and 2172 genes, respectively. These novel potential pan-cancer DNA methylation biomarkers hold significant clinical translational value. We hope that MethMarkerDB will help identify novel cancer DNA methylation biomarkers and propel the clinical application of these biomarkers.

Integrative lactylation and tumor microenvironment signature as prognostic and therapeutic biomarkers in skin cutaneous melanoma.

BACKGROUND: The incidence of skin cutaneous melanoma (SKCM), one of the most aggressive and lethal skin tumors, is increasing worldwide. However, for advanced SKCM, we still lack an accurate and valid way to predict its prognosis, as well as novel theories to guide the planning of treatment options for SKCM patients. Lactylation (LAC), a novel post-translational modification of histones, has been shown to promote tumor growth and inhibit the antitumor response of the tumor microenvironment (TME) in a variety of ways. We hope that this study will provide new ideas for treatment options for SKCM patients, as well as research on the molecular mechanisms of SKCM pathogenesis and development. METHODS: At the level of the RNA sequencing set (TCGA, GTEx), we used differential expression analysis, LASSO regression analysis, and multifactor Cox regression analysis to screen for prognosis-related genes and calculate the corresponding LAC scores. The content of TME cells in the tumor tissue was calculated using the CIBERSORT algorithm, and the TME score was calculated based on its results. Finally, the LAC-TME classifier was established and further analyzed based on the two scores, including the construction of a prognostic model, analysis of clinicopathological characteristics, and correlation analysis of tumor mutation burden (TMB) and immunotherapy. Based on single-cell RNA sequencing data, this study analyzed the cellular composition in SKCM tissues and explored the role of LAC scores in intercellular communication. To validate the functionality of the pivotal gene CLPB in the model, cellular experiments were ultimately executed. RESULTS: We screened a total of six prognosis-related genes (NDUFA10, NDUFA13, CLPB, RRM2B, HPDL, NARS2) and 7 TME cells with good prognosis. According to Kaplan-Meier survival analysis, we found that the LAClow/TMEhigh group had the highest overall survival (OS) and the LAChigh/TMElow group had the lowest OS (p value < 0.05). In further analysis of immune infiltration, tumor microenvironment (TME), functional enrichment, tumor mutational load and immunotherapy, we found that immunotherapy was more appropriate in the LAClow/TMEhigh group. Moreover, the cellular assays exhibited substantial reductions in proliferation, migration, and invasive potentials of melanoma cells in both A375 and A2058 cell lines upon CLPB knockdown. CONCLUSIONS: The prognostic model using the combined LAC score and TME score was able to predict the prognosis of SKCM patients more consistently, and the LAC-TME classifier was able to significantly differentiate the prognosis of SKCM patients across multiple clinicopathological features. The LAC-TME classifier has an important role in the development of immunotherapy regimens for SKCM patients.

PTEN-induced kinase 1 gene single-nucleotide variants as biomarkers in adjuvant chemotherapy for colorectal cancer: a retrospective study.

BACKGROUND: Fluoropyrimidine-based postoperative adjuvant chemotherapy is globally recommended for high-risk stage II and stage III colon cancer. However, adjuvant chemotherapy is often associated with severe adverse events and is not highly effective in preventing recurrence. Therefore, discovery of novel molecular biomarkers of postoperative adjuvant chemotherapy to identify patients at increased risk of recurrent colorectal cancer is warranted. Autophagy (including mitophagy) is activated under chemotherapy-induced stress and contributes to chemotherapy resistance. Expression of autophagy-related genes and their single-nucleotide polymorphisms are reported to be effective predictors of chemotherapy response in some cancers. Our goal was to evaluate the relationship between single-nucleotide variants of autophagy-related genes and recurrence rates in order to identify novel biomarkers that predict the effect of adjuvant chemotherapy in colorectal cancer. METHODS: We analyzed surgical or biopsy specimens from 84 patients who underwent radical surgery followed by fluoropyrimidine-based adjuvant chemotherapy at Saitama Medical University International Medical Center between January and December 2016. Using targeted enrichment sequencing, we identified single-nucleotide variants and insertions/deletions in 50 genes, including autophagy-related genes, and examined their association with colorectal cancer recurrence rates. RESULTS: We detected 560 single-nucleotide variants and insertions/deletions in the target region. The results of Fisher's exact test indicated that the recurrence rate of colorectal cancer after adjuvant chemotherapy was significantly lower in patients with the single-nucleotide variants (c.1018G > A [p < 0.005] or c.1562A > C [p < 0.01]) of the mitophagy-related gene PTEN-induced kinase 1. CONCLUSIONS: The two single-nucleotide variants of PINK1 gene may be biomarkers of non-recurrence in colorectal cancer patients who received postoperative adjuvant chemotherapy.

Biomarker Testing for Actionable Alterations in NSCLC-Perspectives from US-Based Academic and Community Oncologists: A Podcast.

The identification of actionable oncogenic driver mutations in patients with non-small cell lung cancer impacts therapy selection, and appropriate therapy administration results in improvements in clinical outcomes. Although biomarker testing for actionable oncogenic driver mutations is recommended in national and international guidelines, there are still unmet needs in the real world. Through this podcast we provide, from a US perspective, an overview and discuss challenges in biomarker testing from both an academic and a community oncologist viewpoint. We describe the importance of comprehensive testing, actionable biomarkers as recommended by guidelines such as National Comprehensive Cancer Network® (NCCN®) and European Society for Medical Oncology, types of tests and assessment techniques for detection of actionable biomarkers, and challenges in testing. These challenges include the lack of awareness of the biomarker testing guidelines among physicians, inconsistent reimbursement, longer turnaround time resulting in delays in therapy initiation, and nihilism associated with particular patient characteristics. To tackle these challenges, we offer recommendations from the perspective of our own clinical settings.

SERPINE1 and SERPINB7 as potential biomarkers for intravenous vitamin C treatment in non-small-cell lung cancer.

High dose intravenous vitamin C (IVC) has been proposed as a pro-oxidant anticancer agent. However, there is a lack of biomarkers that are specific for this treatment. Here, we explored profiles of gene expression responding to IVC treatment in non-small cell lung cancer (NSCLC) cells as an effort for potential biomarker discovery. Genome-wide RNA-seq was performed in human NSCLC cell lines treated with pharmacological concentrations of vitamin C(VitC) for differential expression of genes. The identified genes were analyzed for correlations with patient prognosis using data from the Kaplan-Meier Plotter and the Human Protein Atlas databases. Further, tumor samples from a retrospective study of 153 NSCLC patients were analyzed with immunohistochemistry for expression of targeted genes, and patient prognosis was correlated to these genes. Two genes, namely SERPINE1 and SERPINB7 were found to be downregulated in NSCLC cells following VitC treatment. Combined patient data from the cohort analysis and online databases revealed that these 2 genes presented an unfavorable prognostic prediction of overall survival (OS) in NSCLC patients receiving standard of care. However, high expression level of these 2 genes were associated with prolonged OS in NSCLC patients receiving IVC in addition to standard of care. These data revealed that SERPINE1 and SERPINB7 have the potential to serve as predictive factors indicating favorable responses to IVC treatment in patients with NSCLC. Further validations are warranted.

Over-expression of Long Non-coding RNA Urothelial Cancer-associated 1 as a Predictive Marker for Prostate Cancer.

BACKGROUND/AIM: To determine the expression of long non-coding RNA urothelial cancer-associated 1 (UCA1) by performing array-based quantitative polymerase chain reaction (PCR) and to identify the clinicopathological significance of UCA1 expression in prostate cancer using in situ hybridization (ISH) of surgically resected specimens. MATERIALS AND METHODS: Array-based quantitative PCR was performed using 10 pairs of fresh malignant (prostate cancer) and normal tissue samples to determine UCA1 expression. Single-color RNA ISH of surgically resected prostate cancer specimens was performed using 70 formalin-fixed, paraffin-embedded tissue specimens to examine the clinicopathological significance of UCA1. RESULTS: Prostate cancer tissues exhibited higher levels of UCA1 expression than paired benign tissues. Furthermore, a correlation between high UCA1 expression and unfavourable clinicopathological characteristics, including advanced pathologic T stage, extraprostatic extension, presence of Gleason pattern 5, and involvement of the resection margins was observed. Notably, increased UCA1 expression significantly correlated with high- or very-high-risk patients, as defined by the 2023 National Comprehensive Cancer Network guidelines. CONCLUSION: UCA1 could be used as a novel diagnostic and prognostic biomarker for establishing an effective treatment protocol for prostate cancer.

A New Landscape of Testing and Therapeutics in Metastatic Breast Cancer.

Predictive biomarker testing on metastatic breast cancer is essential for determining patient eligibility for targeted therapeutics. The National Comprehensive Cancer Network currently recommends assessment of specific biomarkers on metastatic tumor subtypes, including hormone receptors, HER2, and BRCA1/2 mutations, on all newly metastatic breast cancers subtypes; programmed death-ligand 1 on metastatic triple-negative carcinomas; and PIK3CA mutation status on estrogen receptor-positive carcinomas. In select circumstances mismatch repair protein deficiency and/or microsatellite insufficiency, tumor mutation burden, and NTRK translocation status are also testing options. Novel biomarker testing, such as detecting PIK3CA mutations in circulating tumor DNA, is expanding in this rapidly evolving arena.

Gastric Cancer Biomarker Candidates Identified by Machine Learning and Integrative Bioinformatics: Toward Personalized Medicine.

Gastric cancer (GC) is among the leading causes of cancer-related deaths worldwide. The discovery of robust diagnostic biomarkers for GC remains a challenge. This study sought to identify biomarker candidates for GC by integrating machine learning (ML) and bioinformatics approaches. Transcriptome profiles of patients with GC were analyzed to identify differentially expressed genes between the tumor and adjacent normal tissues. Subsequently, we constructed protein-protein interaction networks so as to find the significant hub genes. Along with the bioinformatics integration of ML methods such as support vector machine, the recursive feature elimination was used to select the most informative genes. The analysis unraveled 160 significant genes, with 88 upregulated and 72 downregulated, 10 hub genes, and 12 features from the variable selection method. The integrated analyses found that EXO1, DTL, KIF14, and TRIP13 genes are significant and poised as potential diagnostic biomarkers in relation to GC. The receiver operating characteristic curve analysis found KIF14 and TRIP13 are strongly associated with diagnosis of GC. We suggest KIF14 and TRIP13 are considered as biomarker candidates that might potentially inform future research on diagnosis, prognosis, or therapeutic targets for GC. These findings collectively offer new future possibilities for precision/personalized medicine research and development for patients with GC.

Correlation of PADI4, GBP1, miR-215, and TMB Expression Levels with Clinical Characteristics and Prognosis of Lung Cancer.

Objective: The study aims to explore the correlation between the expression levels of peptidylarginine deiminase 4 (PADI4), guanylate binding protein 1 (GBP1), miR-215, and tumor mutational burden (TMB) and clinical features and prognosis of lung cancer. Methods: A total of 156 patients with lung cancer admitted to our hospital from July 2021 to March 2022 were selected. Clinical characteristics of patients were collected and PADI4, GBP1, miR-215, and TMB levels were detected. The correlation between the expression levels of PADI4, GBP1, miR-215, and TMB and the clinical characteristics of lung cancer was analyzed. The predictive value of the expression levels of PADI4, GBP1, miR-215, and TMB for lung cancer prognosis was analyzed by the receiver operator characteristic (ROC) curve. Results: The expression levels of PADI4 and GBP1 were significantly different with respect to smoking history and histopathological type of lung cancer (P < .05). The expression levels of miR-215 and TMB were significantly different in terms of age, smoking history, lymph node metastasis, and tumor node metastasis (TNM) stage of lung cancer (P < .05). ROC curve results showed that the area under the curve (AUC) of PADI4, GBP1, miR-215, and TMB combined to predict the prognosis of lung cancer was 0.814 (0.789-0.912), which was higher than the diagnostic efficacy of single biomarker (P < .05). Its sensitivity and specificity were 85.75% and 89.34%, respectively. Conclusions: The expression levels of PADI4, GBP1, miR-215, and TMB are correlated with the clinical characteristics and prognosis of lung cancer, and can be used as prognostic markers.

An institutional review of genomic sequencing in pediatric solid tumors.

BACKGROUND: Although tumor genomic profiling has aided the advancement of targeted genetic therapy, its clinical integration remains a challenge in pediatric cancers due to lower mutation frequency and less available targeted drugs. There have been multiple novel studies examining molecular sequencing in pediatrics; however, many of these studies primarily utilized large-scale, genome-wide screening applications that limit applicable use due to the availability of testing. This study examined the institutional use of a targeted, clinically available approach to tumor genomic sequencing. METHODS: A retrospective chart review was performed on pediatric patients with solid tumors who were managed at Roswell Park Comprehensive Cancer Center and underwent molecular testing of their tumor biopsy via OmniSeq from August 2016 to July 2021. Results were reviewed for mutations considered to be "actionable" by targeted therapy. Patients with actionable mutations were further examined to evaluate treatment course, receival of targeted therapy, and clinical outcomes. RESULTS: We identified 64 pediatric patients consisting of 20 (31%) with CNS tumors and 44 (69%) with non-CNS tumors, ranging in age from 9 months to 21 years. Thirty-five total actionable mutations were identified amongst 27 patients (42%). Of these 27, 12 patients (44%) received at least 1 targeted drug against a respective actionable mutation, of which 6 patients (50%) achieved clinical benefit to therapy, including 1 complete response. CONCLUSIONS: The use of a clinically focused and readily available targeted molecular sequencing panel identified actionable mutations at a comparable rate to the large-scale, less readily available sequencing panels utilized in other studies. Half of our patients who received targeted therapy achieved a complete response or clinical benefit from therapy. Although targeted therapy has a role in pediatric cancer treatment, many newer drugs require further research on their safety and efficacy.

Role of the KRT7 Biomarker in Immune Infiltration and Paclitaxel Resistance in Ovarian.

Context: Paclitaxel (PTX) resistance is often associated with poor outcomes for patients with ovarian cancer (OC), but its mechanism is unknown. Clinicians are increasingly using immunotherapy in the management of OC, and the ability to assess tumor-immune interactions and identify effective, predictive, prognostic molecular biomarkers for OC is an urgent need. Objective: The study intended to explore the potential tumorigenesis mechanisms to identify promising biomarkers and improve survival in OC patients. Design: The research team performed a genetic analysis. Setting: The study took place at First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China. Outcome Measures: The research team: (1) obtained GSE66957 and GSE81778 gene expression profiles from the Gene Expression Omnibus (GEO) database and identified 468 differentially expressed genes (DEGs); (2) conducted functional enrichment analysis and constructed a protein-to-protein interaction (PPI) network; (3) identified the OC survival-related genes using the Gene Expression Profiling Interactive Analysis 2 (GEPIA2) webserver and compared those genes with upregulated DEGs to identify the core genes; (4) used GEPIA2 and the Kaplan-Meier plotter to explore the expression profiles and the prognostic values of the core genes in OC; (5) used the LinkOmics, Oncomine, and GEPIA2 web servers to perform co-expression analysis and explore functional networks correlated with keratin 7 (KRT7); (6) performed correlation analyses between KRT7, the six main types of tumor-infiltrating lymphocytes (TILs), and immune signatures, using the TIMER tool; and (7) subsequently detected the KRT7 expression in the cell lines IOSE80, A2780, A2780/PTX, ho8910, skov3, and ovcar3 using quantitative reverse transcription-polymerase chain reaction (RT-qPCR) technology. Results: High expression levels of KRT7 were significantly correlated with progression-free survival (PFS) and poor overall survival (OS) for OC patients, with logrank P = .0074 and logrank P = .014, respectively. The expression levels of KRT7 were also significantly correlated with the infiltrated neutrophil levels (r = 0.169, P = .0077). The study identified neutrophils as potential predictors of survival in OC. Moreover, the expression levels of KRT7 in OC were positively correlated with 51 (31.68%) of the 161 immune gene markers. The RT-qPCR analyses revealed a high expression of KRT7 in the paclitaxel-resistant OC cell line. Conclusions: KRT7 is correlated with immune infiltration and paclitaxel resistance in OC patients. Therefore, clinicians could use KRT7 as a prognostic marker and a target in the development of new drugs.

Addressing Modern Diagnostic Pathology for Patient-Derived Soft Tissue Sarcosphere Models in the Era of Functional Precision Oncology.

Responses to therapy often cannot be exclusively predicted by molecular markers, thus evidencing a critical need to develop tools for better patient selection based on relations between tumor phenotype and genotype. Patient-derived cell models could help to better refine patient stratification procedures and lead to improved clinical management. So far, such ex vivo cell models have been used for addressing basic research questions and in preclinical studies. As they now enter the era of functional precision oncology, it is of utmost importance that they meet quality standards to fully represent the molecular and phenotypical architecture of patients' tumors. Well-characterized ex vivo models are imperative for rare cancer types with high patient heterogeneity and unknown driver mutations. Soft tissue sarcomas account for a very rare, heterogeneous group of malignancies that are challenging from a diagnostic standpoint and difficult to treat in a metastatic setting because of chemotherapy resistance and a lack of targeted treatment options. Functional drug screening in patient-derived cancer cell models is a more recent approach for discovering novel therapeutic candidate drugs. However, because of the rarity and heterogeneity of soft tissue sarcomas, the number of well-established and characterized sarcoma cell models is extremely limited. Within our hospital-based platform we establish high-fidelity patient-derived ex vivo cancer models from solid tumors for enabling functional precision oncology and addressing research questions to overcome this problem. We here present 5 novel, well-characterized, complex-karyotype ex vivo soft tissue sarcosphere models, which are effective tools to study molecular pathogenesis and identify the novel drug sensitivities of these genetically complex diseases. We addressed the quality standards that should be generally considered for the characterization of such ex vivo models. More broadly, we suggest a scalable platform to provide high-fidelity ex vivo models to the scientific community and enable functional precision oncology.

HER2 IHC Expression and Gene Amplification in p53-aberrant High-grade Endometrial Endometrioid Carcinoma Suggests That This Population May Benefit From HER2 Testing and Targeted Therapy.

Among gynecologic cancers, uterine serous carcinoma (USC) has been shown to be human epidermal growth factor receptor 2 (HER2) amplified and trastuzumab has been included in the recent National Comprehensive Cancer Network (NCCN) guidelines for treatment of advanced stage or recurrent USC with HER2 overexpression/amplification. There is limited literature suggesting that a subset of high-grade endometrioid carcinomas with aberrant p53 expression may also be HER2 amplified and these patients could benefit from the addition of targeted therapy. We identified 59 p53-aberrant (mismatch repair proficient) FIGO 3 endometrioid carcinomas of the uterus. HER2 immunohistochemistry was performed in all 59 tumors and HER2 fluorescence in situ hybridization (FISH) was performed in 52 of the 59 cases. Four of the 59 cases were HER2 3+ by immunohistochemistry (6.7%), using the American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) 2007, 2013, and 2018 criteria. HER2 FISH was performed in 3 of the 4 cases and was amplified in all 3. Nine, 8, and 7 tumors showed 2+ HER2 staining when applying 2018, 2013, and 2007 criteria, respectively, FISH was performed in 7 tumors and none were amplified. An additional 4 cases did not perfectly meet the 2018 ASCO/CAP criteria but were assigned a score of 2+, none were amplified by HER2 FISH. The remaining 42 cases showed 1+ or no staining for HER2, FISH was successfully performed in 38 tumors and none showed amplification. Approximately half of the tumors fulfilled criteria for HER2-low or HER2-very low (10 HER2-low and 20 HER2-very low). Our data shows that a subset of p53-aberrant high-grade endometrial endometrioid carcinoma express HER2 and these patients may benefit from the addition of targeted therapy. The role of targeted therapy in HER2-low gynecologic carcinoma is currently unexplored.