Recent development on nanomaterial-based biosensors for identifying thyroid tumor biomarkers.

The incidence of thyroid tumors has been increasing yearly over the past decade, making it the fourth highest tumor in women. This places various biological burdens on those affected. Currently, thyroid tumors are primarily diagnosed using percutaneous fine needle aspiration and ultrasound. However, these methods are complex, expensive, and less accurate, and they may fail to detect some thyroid nodules. As an alternative, researchers are focusing on blood-based biomarkers in addition to the traditional diagnostic methods, assisted predominantly by nanomaterials. Early identification of thyroid cancer is crucial as it is highly treatable. Various sensing systems have been developed using nanomaterial-mediated approaches to enhance the detection system. Nanomaterials are effectively applied in biosensors for surface functionalization and are conjugated with biomolecules to improve the interaction with the target analyte. This review discusses nanomaterial-assisted thyroid tumor detection, with a special focus on nanomaterial-based biosensors.

Clinical application of serum CST4 combined with tumor markers in the diagnosis of digestive system malignant tumors.

The aim of the present study was to evaluate the diagnostic value of plasma human cystatin-S (CST4) in patients with digestive system malignant tumors. CST4 and tumor markers, such as α-fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen (CA)199, CA125, CA153 and CA724, were detected in blood samples from 100 patients with a digestive system malignant tumor and 100 patients with benign digestive system diseases. The tumor markers AFP, CEA, CA199, CA125, CA153 and CA724 were detected using an electrochemiluminescence immunoassay, and CST4 levels were detected using a human CST4 ELISA kit. The results demonstrated that the sensitivities of AFP and CA153 (both 5.00%) were significantly lower than that of CST4 (38.00%) in the diagnosis of digestive system malignancy (P<0.001), and CA724 (18.00%) was also less sensitive than CST4 (P<0.05). The sensitivities of CA199 (26.00%), CEA (31.00%) and CA125 (25.00%) were similar to that of CST4 (P>0.05). There was no significant difference in the CEA, CA125, CA724 and CST4 specificities (P>0.05), which were 91.00, 95.00, 94.00 and 83.00%, respectively. The specificities of AFP (99.00%), CA199 (98.00%) and CA153 (100.00%) were significantly higher than that of CST4 (P<0.01). By constructing a receiver operating characteristic curve and comparing the area under the curve as well as sensitivity, the findings of the present study demonstrated that combining CST4 with AFP, CEA, CA199, CA125, CA153 and CA724 can significantly enhance the diagnostic sensitivity for malignancies of the digestive system. However, the introduction of CST4 into the traditional diagnostic groups (CEA + AFP, CA199 + CA125 + CA153 + CA724 and AFP + CEA + CA199 + CA125 + CA153 + CA724) resulted in an increased sensitivity and loss of specificity, thereby not offering significant advantages in terms of comprehensive diagnostic efficiency compared with the traditional diagnostic groups. In conclusion, CST4 detection may be a promising diagnostic tool. Nonetheless, the potential false positive results in tumor diagnosis should be taken into consideration when developing new diagnostic groups involving CST4.

Coffee, PI3K signaling pathway, and prostate cancer: a prospective study in the Health Professionals Follow-up Study.

BACKGROUND: Higher coffee intake has been associated with reduced risk of prostate cancer, particularly aggressive forms. The activation of the PI3K signaling pathway plays an important role in prostate carcinogenesis. OBJECTIVE: To evaluate associations between pre-diagnostic coffee intake and a PI3K activation score, the expression/presence of PI3K regulators, and downstream effectors in tumor tissue from men with prostate cancer in the Health Professionals Follow-up Study, a prospective cohort study conducted in the US. DESIGN: A case-only study design was applied. Coffee intake was assessed using validated food frequency questionnaires completed in 1986 and every four years thereafter until prostate cancer diagnosis. PARTICIPANTS/SETTING: Study participants comprised 1,242 men diagnosed with prostate cancer from 1986 to 2009 and with tumor markers assessed from tissue microarrays constructed from tumor specimens. MAIN OUTCOME MEASURES: The outcomes include the PI3K activation score; expression of insulin receptor and IGF1 receptor; angiogenesis markers; and presence of the tumor suppressor PTEN, chronic and acute inflammation, simple atrophy, and post-atrophic hyperplasia. STATISTICAL ANALYSES PERFORMED: Multivariable linear or logistic regression was conducted to estimate associations between coffee intake and tumor marker expression/presence. RESULTS: Among coffee drinkers (86.6% of the population), median (25th-75th) coffee intake was 2 (1-3) cups/day. The associations between coffee consumption and the tumor markers of interest were generally weak with modest precision. When comparing men who drank >3 cups/day of coffee with nondrinkers, the absolute percent difference in the PI3K activation score and angiogenesis markers ranged from 0.6% to 3.6%. The odds ratios for PTEN loss, IGF1 receptor and insulin receptor expression, and presence of chronic and acute inflammation, simple atrophy, and post-atrophic hyperplasia also were not statistically significant, were imprecise, and ranged from 0.82 to 1.58. CONCLUSIONS: Coffee intake was not observed to be associated with PI3K activation, related regulators, and several effectors in prostate tumor tissue. Studies exploring alternative pathways or earlier steps in carcinogenesis are needed to investigate the underlying mechanisms of the coffee and prostate cancer association.

Screening and surveillance of hepatocellular carcinoma by serum des-gamma-carboxy prothrombin in patients with glycogen storage disease type Ia.

No sensitive tumor marker for hepatocellular carcinoma (HCC) is available for patients with glycogen storage disease type Ia (GSDIa), in whom alpha-fetoprotein and carcino-embryonic antigen levels often remain normal. We describe increased levels of the HCC tumor marker des-gamma-carboxy prothrombin (DCP) in GSDIa patients with HCC. In one case DCP levels normalized after liver transplantation. We recommend including DCP as a screening HCC tumor marker in the surveillance of patients with GSDIa.

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Objective: To explore the relationship between baseline clinical characteristics and hematological parameters of patients undergoing radical resection for pancreatic ductal adenocarcinoma (PDAC) and their prognosis, and to provide references for stratifying the patients' clinical risks. Methods: We retrospectively collected clinical data from 445 patients who underwent radical surgical treatment for PDAC at West China Hospital, Sichuan University between January 2010 and February 2019. Then, we conducted retrospective clinical analysis with the collected data. Data on patients' basic clinical characteristics, routine blood test results, and tumor indicators were collected to explore their effects on the postoperative overall survival (OS) of PDAC patients. Cox proportional hazards regression was used to identify factors affecting OS. Statistical analysis was performed using the SPSS 23.0 software package. Results: The postoperative median overall survival (mOS) was 17.0 months (95% CI: 15.0-19.0). The 1, 2, 3, 4, and 5-year survival rates of the patients included in the study were 60.6%, 33.4%, 19.1%, 12.7%, and 9.6%, respectively. The multivariate Cox proportional hazards model analysis demonstrated that a number of factors independently affect postoperative survival in PDAC patients. These factors include tumor location (hazards ratio [HR]=1.574, 95% CI: 1.233-2.011), degree of tumor cell differentiation (HR=0.687, 95% CI: 0.542-0.870), presence of neural invasion (HR=0.686, 95% CI: 0.538-0.876), TNM staging (HR=1.572, 95% CI: 1.252-1.974), postoperative adjuvant therapy (HR=1.799, 95% CI: 1.390-2.328), preoperative drinking history (HR=0.744, 95% CI: 0.588-0.943), and high serum CA199 levels prior to the surgery (HR=0.742, 95% CI: 0.563-0.977). Conclusion: In PDAC patients, having tumors located in the head of the pancreas, moderate and high degrees of differentiated, being free from local neurovascular invasion, being in TNM stage Ⅰ, undergoing postoperative adjuvant therapy, no history of alcohol consumption prior to the surgery, and preoperative serum CA199 being less than or equal to 37 U/mL are significantly associated with a better prognosis.

Diagnostic algorithm based on ratio of ascites-serum tumor markers is superior to tumor markers in the differentiation of benign ascites from malignant ascites.

BACKGROUND: Differential diagnosis between benign ascites and malignant ascites remains challenging in clinical practice, the aim of our study is to determine the differential value of the ratio of ascitic-serum tumor markers between benign ascites and malignant ascites. METHODS: 418 patients with new-onset ascites were retrospectively enrolled in this study. The pertinent data of patients enrolled were collected; diagnostic value of tumor markers, ascites-serum tumor marker ratio, and diagnostic algorithm based on ascitic tumor markers and ascites-serum tumor marker ratio in patients with ascites were investigated. RESULTS: 81.25% of the patients with benign ascites had low (<1) ratio of ascites-serum tumor markers (Max [A/S CEA, A/S CA15-3, A/S CA19-9]); and 91.88 % of patients with benign ascites had the ratio of ascites-serum tumor marker less than 1.5. On the other hand, 94.96% of the patients with malignant ascites had high (≥1) ratio of ascites-serum tumor markers; and 97.29% of patients with malignant ascites had the ratio of ascites-serum tumor markers more than 0.67. Finally, diagnostic algorithm based on ascitic tumor markers and ascites-serum tumor marker ratio showed 96.37% of the sensitivity, and 94.37% of the accuracy in the diagnosis of malignant ascites, while ascitic tumor markers with a sensitivity of 78.29%, and an accuracy of 84.93%. CONCLUSIONS: Diagnostic algorithm based on ascitic tumor markers and ascites-serum tumor marker ratio exhibited an excellent performance in distinguishing benign and malignant ascites, which should be recommended in patients with new-onset ascites in clinical practice.

Enhancing the diagnostic accuracy of colorectal cancer through the integration of serum tumor markers and hematological indicators with machine learning algorithms.

BACKGROUND: Colorectal cancer has a high incidence and mortality rate due to a low rate of early diagnosis. Therefore, efficient diagnostic methods are urgently needed. PURPOSE: This study assesses the diagnostic effectiveness of Carbohydrate Antigen 19-9 (CA19-9), Carcinoembryonic Antigen (CEA), Alpha-fetoprotein (AFP), and Cancer Antigen 125 (CA125) serum tumor markers for colorectal cancer (CRC) and investigates a machine learning-based diagnostic model incorporating these markers with blood biochemical indices for improved CRC detection. METHOD: Between January 2019 and December 2021, data from 800 CRC patients and 697 controls were collected; 52 patients and 63 controls attending the same hospital in 2022 were collected as an external validation set. Markers' effectiveness was analyzed individually and collectively, using metrics like ROC curve AUC and F1 score. Variables chosen through backward regression, including demographics and blood tests, were tested on six machine learning models using these metrics. RESULT: In the case group, the levels of CEA, CA199, and CA125 were found to be higher than those in the control group. Combining these with a fourth serum marker significantly improved predictive efficacy over using any single marker alone, achieving an Area Under the Curve (AUC) value of 0.801. Using stepwise regression (backward), 17 variables were meticulously selected for evaluation in six machine learning models. Among these models, the Gradient Boosting Machine (GBM) emerged as the top performer in the training set, test set, and external validation set, boasting an AUC value of over 0.9, indicating its superior predictive power. CONCLUSION: Machine learning models integrating tumor markers and blood indices offer superior CRC diagnostic accuracy, potentially enhancing clinical practice.

MicroRNA for Prediction of Teratoma and Viable Germ Cell Tumor after Chemotherapy.

MicroRNAs (miRNAs) are emerging as highly sensitive and specific markers for testicular germ cell tumors (GCTs) across the spectrum of disease. However, their utility in specific clinical scenarios requires further study. Here, we review the current evidence for miRNAs as tumor markers for the evaluation of treatment response in patients undergoing chemotherapy for the treatment of advanced testicular GCT.

Retroperitoneal Lymph Node Dissection: Perioperative Management and Updates on Surgical Techniques.

Retroperitoneal lymph node dissection (RPLND) has been an integral part of a multimodal treatment strategy in testicular cancer. Surgeons, over the last decade, have advanced the understanding of RPLND by adopting perioperative care pathways, innovative biomarkers, surgical techniques, and developing algorithms for managing complications. This review summarizes updates on various aspects including the enhanced recovery after surgery pathway, imaging techniques, surgical approaches, dissection templates, and the management of complications. We conclude that RPLND has undergone significant evolution and refinement in the modern era and will continue to hold a critical role in the care of patients with testicular cancer.

Testicular Mixed Germ Cell Tumor (TMGCT) Management: Addressing Infection and Tumor Marker Dynamics.

We report the case of a 23-year-old male presenting with right testicular swelling, post-coital pain, and fever. Initial MRI and local examination suggested testicular carcinoma. Elevated serum alpha-fetoprotein (AFP) and lactate dehydrogenase (LDH) levels were observed. Biopsy confirmed a mixed germ cell tumor (MGCT). Concurrently, the patient was diagnosed with an infection and treated with antibiotics. Remarkably, following antibiotic therapy, fever resolved, and tumor marker levels significantly decreased. Subsequent orchidectomy confirmed the diagnosis of MGCT. This case underscores the importance of recognizing and treating concurrent infections, which may influence both clinical presentation and tumor marker levels in testicular germ cell tumors.

Diagnostic potential of protein serum biomarkers for distinguishing small and non-small cell lung cancer in patients with suspicious lung lesions.

BACKGROUND: Biomarkers play a role in identifying, managing, and predicting cancer outcomes. In lung cancer, they are used at various time points. Doubts remain regarding their accuracy for differential diagnosis and histological subtyping. A diagnostic test study was conducted. It included malignant lesions and controls with benign lesions. Before lung biopsy, all patients had the following biomarkers measured in serum (Pro-GRP,NSE,CYFRA21-1,SCC-Ag,CEA). METHODS: The predictive capacity of serum biomarkers was evaluated to discriminate between lung cancer and benign pathology. The accuracy was also assessed for distinguishing between SCLC and NSCLC and explored their ability to perform histological subtyping. RESULTS: 93 patients were included, 60 with lung cancer, 33 with benign pathology. Pro-GRP and NSE were elevated in SCLC compared with NSCLC or nonmalignant disease. The most accurate for differentiating between malignant and benign pathology were CEA and CYFRA21-1. Pro-GRP had a poor predictive capacity for distinguishing NSCLC from SCLC. However, combined with CEA and CYFRA21-1, performance improved. For SCLC, the diagnostic capacity of Pro-GRP increased by combining with biomarkers, such as NSE/CYFRA21-1. CONCLUSIONS: Biomarkers lacked the sensitivity and specificity for independent differential diagnosis or histological subtyping. However, the observed patterns in biomarker levels associated with specific histological subtypes suggest potential utility in a multi-biomarker approach or in conjunction with other diagnostic tools. This insight could guide future research to improve diagnostic accuracy and personalized treatment strategies in lung cancer.

Biomarkers are crucial for identifying, managing, and predicting outcomes in lung cancer, though they lack accuracy in differentiating histological subtypes.CEA and CYFRA21-1 were the most accurate biomarkers for distinguishing between malignant and benign pathology.Pro-GRP and NSE levels were elevated in SCLC compared to NSCLC. Pro-GRP alone had poor predictive capacity for differentiating NSCLC from SCLC, but combining it with CEA and CYFRA21-1 improved diagnostic performance.Patterns in biomarker levels suggest that a multi-biomarker approach, especially when combined with other diagnostic tools, could improve diagnostic accuracy.

MyD88 and Its Inhibitors in Cancer: Prospects and Challenges.

The interplay between the immune system and cancer underscores the central role of immunotherapy in cancer treatment. In this context, the innate immune system plays a critical role in preventing tumor invasion. Myeloid differentiation factor 88 (MyD88) is crucial for innate immunity, and activation of MyD88 promotes the production of inflammatory cytokines and induces infiltration, polarization, and immune escape of immune cells in the tumor microenvironment. Additionally, abnormal MyD88 signaling induces tumor cell proliferation and metastasis, which are closely associated with poor prognosis. Therefore, MyD88 could serve as a novel tumor biomarker and is a promising target for cancer therapy. Current strategies targeting MyD88 including inhibition of signaling pathways and protein multimerization, have made substantial progress, especially in inflammatory diseases and chronic inflammation-induced cancers. However, the specific role of MyD88 in regulating tumor immunity and tumorigenic mechanisms remains unclear. Therefore, this review describes the involvement of MyD88 in tumor immune escape and disease therapy. In addition, classical and non-classical MyD88 inhibitors were collated to provide insights into potential cancer treatment strategies. Despite several challenges and complexities, targeting MyD88 is a promising avenue for improving cancer treatment and has the potential to revolutionize patient outcomes.

Serum interleukin-10 and alpha-fetoprotein: A combined diagnostic approach for hepatocellular carcinoma in Egyptians with HCV.

PURPOSE: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide. Although alpha-fetoprotein (AFP) has been used for 60+ years as an HCC diagnostic serum marker, its accuracy is debated. Notably, the role of interleukin 10 (IL-10) in cancer development and metastasis is elevated in various tumor types, including HCC and chronic HCV infection. Our study aimed to investigate the diagnostic performance of IL-10 and AFP as biomarkers for HCV-induced HCC in an Egyptian population. METHODS: Eighty participants were recruited and categorized into three groups: HCV-related HCC (n=40), HCV-related cirrhosis (n=40), and control (n=20).The collected blood samples were analyzed to evaluate liver function, AFP levels, and IL-10 levels. RESULTS: Our analysis showed that AFP demonstrated low sensitivity (40% false-negative) and low specificity (33% false-positive).IL-10 levels were significantly higher (P < 0.001) in patients with HCC than in the cirrhosis and control groups. The serum AFP and IL-10 combination revealed significantly increased sensitivity (97.5%), diagnostic accuracy (71.1%), AUC (0.798), PPV (73.3%), and NPV ( 69.5%) when compared with either of them alone. CONCLUSION: the reliability of AFP as a major HCC marker was poor. However, IL-10 levels are a novel biomarker for the degree of HCC inflammation, considering IL-10's potential role in HCV-HCC development. We suggest combining AFP with IL-10 to improve the diagnostic and prognostic value of HCC considerably. Future research on these biomarkers should prioritize their clinical validity, prognostic usefulness, and compatibility with other therapeutic approaches as immunotherapy.

High fidelity detection of miRNAs from complex physiological samples through electrochemical nanosensors empowered by proximity catalysis and magnetic separation.

Electrochemical detection of miRNA biomarkers in complex physiological samples holds great promise for accurate evaluation of tumor burden in the perioperative period, yet limited by reproducibility and bias issues. Here, nanosensors installed with hybrid probes that responsively release catalytic DNAzymes (G-quadruplexes/hemin) were developed to solve the fidelity challenge in an immobilization-free detection. miRNA targets triggered toehold-mediated strand displacement reactions on the sensor surface and resulted in amplified shedding of DNAzymes. Subsequently, the interference background was removed by Fe3O4 core-facilitated magnetic separation. Binding aptamers of the electrochemical reporter (dopamine) were tethered closely to the catalytic units for boosting H2O2-mediated oxidation through proximity catalysis. The one-to-many conversion by dual amplification from biological-chemical catalysis facilitated sufficient homogeneous sensing signals on electrodes. Thereby, the nanosensor exhibited a low detection limit (2.08 fM), and high reproducibility (relative standard deviation of 1.99%). Most importantly, smaller variations (RSD of 0.51-1.04%) of quantified miRNAs were observed for detection from cell lysates, multiplexed detection from unprocessed serum, and successful discrimination of small upregulations in lysates of tumor tissue samples. The nanosensor showed superior diagnostic performance with an area under curve (AUC) of 0.97 and 94% accuracy in classifying breast cancer patients and healthy donors. These findings demonstrated the synergy of signal amplification and interference removal in achieving high-fidelity miRNA detection for practical clinical applications.

Gastrointestinal Stromal Tumors Mimicking Ovarian Mass: A Case Report.

Gastrointestinal stromal tumors (GIST) are common mesenchymal tumors of the gastrointestinal tract. Some somatic factors have been linked to an increased incidence risk. The diagnostic process for GIST poses difficulties since it bears limited resemblance to ovarian masses, given its manifestation through symptoms like abdominal pain, abdominal mass, fever, weight loss, and loss of appetite. Patients with GIST usually exhibit clinical symptoms and signs of an abdominal mass and chronic pelvic pain might look like an ovarian mass, and diagnosed as GIST on histological examination. A 50-year-old woman presented to the gynecology outpatient department with complaints of an abdominal lump accompanied by pain and decreased appetite persisting for five months, leading to a preliminary diagnosis of an ovarian mass. Further evaluation by histopathological examination was confirmed to be GIST on the final diagnosis.

The predictive value of serum tumor markers for EGFR mutation in non-small cell lung cancer patients with non-stage IA.

Objective: The predictive value of serum tumor markers (STMs) in assessing epidermal growth factor receptor (EGFR) mutations among patients with non-small cell lung cancer (NSCLC), particularly those with non-stage IA, remains poorly understood. The objective of this study is to construct a predictive model comprising STMs and additional clinical characteristics, aiming to achieve precise prediction of EGFR mutations through noninvasive means. Materials and methods: We retrospectively collected 6711 NSCLC patients who underwent EGFR gene testing. Ultimately, 3221 stage IA patients and 1442 non-stage IA patients were analyzed to evaluate the potential predictive value of several clinical characteristics and STMs for EGFR mutations. Results: EGFR mutations were detected in 3866 patients (57.9 %) of all NSCLC patients. None of the STMs emerged as significant predictor for predicting EGFR mutations in stage IA patients. Patients with non-stage IA were divided into the study group (n = 1043) and validation group (n = 399). In the study group, univariate analysis revealed significant associations between EGFR mutations and the STMs (carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCC), and cytokeratin-19 fragment (CYFRA21-1)). The nomogram incorporating CEA, CYFRA 21-1, pathology, gender, and smoking history for predicting EGFR mutations with non-stage IA was constructed using the results of multivariate analysis. The area under the curve (AUC = 0.780) and decision curve analysis demonstrated favorable predictive performance and clinical utility of nomogram. Additionally, the Random Forest model also demonstrated the highest average C-index of 0.793 among the eight machine learning algorithms, showcasing superior predictive efficiency. Conclusion: CYFRA21-1 and CEA have been identified as crucial factors for predicting EGFR mutations in non-stage IA NSCLC patients. The nomogram and 8 machine learning models that combined STMs with other clinical factors could effectively predict the probability of EGFR mutations.

Assessment of Tumor Markers in Renal Transplant Recipients.

Background/Aim: Malignant tumors are diagnosed using various methods, including diagnostic imaging methods. The measurement of tumor markers is commonly used because of its noninvasiveness and convenience. Furthermore, it is known that the excretion and metabolism of some tumor markers are affected by impaired renal function. In the present study, we investigated the effect of improved renal function on pre-and post-transplantation changes in tumor marker levels [carcinoembryonic antigen (CEA), alpha-fetoprotein (AFP), carbohydrate antigen 19-9 (CA19-9), and prostate-specific antigen (PSA)] in renal transplant recipients. Patients and Methods: A total of 116 renal transplant recipients, who had not been diagnosed with malignancies between January 2012 and December 2019, were included, and tumor markers were investigated. Results: CEA showed a significant decrease after kidney transplantation, regardless of the dialysis type (3.6→2.6 ng/ml, p<0.001), while other tumor markers showed a significant increase (AFP: 3.6→3.7 ng/ml; CA19-9: 16.2→19.5 U/ml; PSA: 0.95→1.05 ng/ml; all p<0.05). Pre- and postoperative eGFR ratios and postoperative liver function were identified as factors influencing the postoperative CEA and CA19-9 values, while PSA was influenced by the duration of dialysis. No statistically significant factors were found for AFP levels. Conclusion: Caution should be exercised when investigating tumor markers in patients with renal dysfunction, as tumor marker levels may vary depending on the pathophysiology of each patient.

Clinical significance of serum synaptophysin-like 1 protein levels in breast cancer.

Background: Mammography, used for breast cancer (BC) screening, has limitations such as decreased sensitivity in dense breasts. Currently used tumor markers are insufficient in diagnosing breast cancer. In this study, we aimed to investigate the relationship between serum levels of synaptophysin-like protein 1 (SYPL1) and BC and compare SYPL1 with other blood tumor markers. Methods: The study group consisted of 80 female patients with a histopathological diagnosis of invasive BC who received no radiotherapy/chemotherapy. The control group was 72 women with no previous history of breast disease and evaluated as Breast Imaging Reporting and Data Systems (BI-RADS 1-2) on imaging. Serum SYPL1, cancer antigen 15-3 (CA 15-3), and carcinoembryonic antigen (CEA) were measured in both groups.

Cervical cancer biomarker screening based on Raman spectroscopy and multivariate statistical analysis.

Cervical cancer (CC) stands as one of the most prevalent malignancies among females, and the examination of serum tumor markers(TMs) assumes paramount significance in both its diagnosis and treatment. This research delves into the potential of combining Surface-Enhanced Raman Spectroscopy (SERS) with Multivariate Statistical Analysis (MSA) to diagnose cervical cancer, coupled with the identification of prospective serum biomarkers. Serum samples were collected from 95 CC patients and 81 healthy subjects, with subsequent MSA employed to analyze the spectral data. The outcomes underscore the superior efficacy of Partial Least Squares Discriminant Analysis (PLS-DA) within the MSA framework, achieving predictive accuracy of 97.73 %, and exhibiting sensitivities and specificities of 100 % and 95.83 % respectively. Additionally, the PLS-DA model yields a Variable Importance in Projection (VIP) list, which, when coupled with the biochemical information of characteristic peaks, can be utilized for the screening of biomarkers. Here, the Random Forest (RF) model is introduced to aid in biomarker screening. The two findings demonstrate that the principal contributing features distinguishing cervical cancer Raman spectra from those of healthy individuals are located at 482, 623, 722, 956, 1093, and 1656 cm-1, primarily linked to serum components such as DNA, tyrosine, adenine, valine, D-mannose, and amide I. Predictive models are constructed for individual biomolecules, generating ROC curves. Remarkably, D-mannose of V (C-N) exhibited the highest performance, boasting an AUC value of 0.979. This suggests its potential as a serum biomarker for distinguishing cervical cancer from healthy subjects.

Changes in expression of breast cancer tumor biomarkers between primary tumors and corresponding metastatic sites: common patterns and relationships with survival.

PURPOSE: In metastatic breast cancer, differences in expression patterns of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2) between the primary tumor (PT) and metastatic site (MET) have been reported. However, there is limited understanding of the relationship of tumor subtype discordance and overall survival (OS). We evaluated patterns of ER/PR/HER2 in PTs and corresponding METs and assessed the relationship between these patterns and OS. METHODS: Patients diagnosed at our center with metastatic breast cancer (2011-2020) were included. ER/PR were stratified as < 1%/1-10%/ > 10% by immunohistochemistry and HER2 as positive/negative by immunohistochemistry/FISH. Tumor subtypes were classified as ER or PR + /HER2-, HER2+ , or triple-negative. Biomarker discordance data from PTs to METs were analyzed for expression patterns. OS was assessed. RESULTS: Of 254 patients, 41 (16.1%) had synchronous and 213 (83.9%) had metachronous METs. Category change of ER/PR/HER2 expression was observed in 56 (22.0%), 117 (40.5%), and 30 (11.8%) patients, respectively. Tumor subtype changed in 56 (22.0%) patients. We identified a difference between PT and MET from ER > 10% to ER < 1% (n = 28,16.2% p < 0.01); PR > 10% to PR < 1% (n = 54,48.2%, p < 0.001); PR > 10% to PR 1-10% (n = 18,16.1%, p < 0.001), and ER or PR+/HER2- to triple-negative (n = 19,13.0%, p = 0.03). In log-rank analysis, change from an ER or PR+/HER2- (5-year OS 88.6%) PT to a HER2+(67.5%) or triple-negative (54.6%) MET was associated with decreased survival (p < 0.01); however, in multivariate analysis, discordant biomarker expression was not associated with decreased survival (p > 0.05). CONCLUSION: Tumor expression of ER/PR/HER2 can differ between the PT and MET. Loss of ER/PR expression is common and may be related to worse survival. Routine assessment of MET tumor markers could inform prognosis and therapeutic decision-making.