Narrow band imaging-based radiogenomics for predicting radiosensitivity in nasopharyngeal carcinoma

Objectives

This study aims to assess the efficacy of narrow band imaging (NBI) endoscopy in utilizing radiomics for predicting radiosensitivity in nasopharyngeal carcinoma (NPC), and to explore the associated molecular mechanisms.

Materials

The study included 57 NPC patients who were pathologically diagnosed and underwent RNA sequencing. They were categorized into complete response (CR) and partial response (PR) groups after receiving radical concurrent chemoradiotherapy. We analyzed 267 NBI images using ResNet50 for feature extraction, obtaining 2048 radiomic features per image. Using Python for deep learning and least absolute shrinkage and selection operator for feature selection, we identified differentially expressed genes associated with radiomic features. Subsequently, we conducted enrichment analysis on these genes and validated their roles in the tumor immune microenvironment through single-cell RNA sequencing.

Results

After feature selection, 54 radiomic features were obtained. The machine learning algorithm constructed from these features showed that the random forest algorithm had the highest average accuracy rate of 0.909 and an area under the curve of 0.961. Correlation analysis identified 30 differential genes most closely associated with the radiomic features. Enrichment and immune infiltration analysis indicated that tumor-associated macrophages are closely related to treatment responses. Three key NBI differentially expressed immune genes (NBI-DEIGs), namely CCL8, SLC11A1, and PTGS2, were identified as regulators influencing treatment responses through macrophages.

Conclusion

NBI-based radiomics models introduce a novel and effective method for predicting radiosensitivity in NPC. The molecular mechanisms may involve the functional states of macrophages, as reflected by key regulatory genes.

Multi-instance learning based artificial intelligence model to assist vocal fold leukoplakia diagnosis: A multicentre diagnostic study

OBJECTIVE

To develop a multi-instance learning (MIL) based artificial intelligence (AI)-assisted diagnosis models by using laryngoscopic images to differentiate benign and malignant vocal fold leukoplakia (VFL).

METHODS

The AI system was developed, trained and validated on 5362 images of 551 patients from three hospitals. Automated regions of interest (ROI) segmentation algorithm was utilized to construct image-level features. MIL was used to fusion image level results to patient level features, then the extracted features were modeled by seven machine learning algorithms. Finally, we evaluated the image level and patient level results. Additionally, 50 videos of VFL were prospectively gathered to assess the system's real-time diagnostic capabilities. A human-machine comparison database was also constructed to compare the diagnostic performance of otolaryngologists with and without AI assistance.

RESULTS

In internal and external validation sets, the maximum area under the curve (AUC) for image level segmentation models was 0.775 (95 % CI 0.740-0.811) and 0.720 (95 % CI 0.684-0.756), respectively. Utilizing a MIL-based fusion strategy, the AUC at the patient level increased to 0.869 (95 % CI 0.798-0.940) and 0.851 (95 % CI 0.756-0.945). For real-time video diagnosis, the maximum AUC at the patient level reached 0.850 (95 % CI, 0.743-0.957). With AI assistance, the AUC improved from 0.720 (95 % CI 0.682-0.755) to 0.808 (95 % CI 0.775-0.839) for senior otolaryngologists and from 0.647 (95 % CI 0.608-0.686) to 0.807 (95 % CI 0.773-0.837) for junior otolaryngologists.

CONCLUSIONS

The MIL based AI-assisted diagnosis system can significantly improve the diagnostic performance of otolaryngologists for VFL and help to make proper clinical decisions.

Revealing molecular and cellular heterogeneity in hypopharyngeal carcinogenesis through single-cell RNA and TCR/BCR sequencing

Introduction

Hypopharyngeal squamous cell carcinoma (HSCC) is one of the malignant tumors with the worst prognosis in head and neck cancers. The transformation from normal tissue through low-grade and high-grade intraepithelial neoplasia to cancerous tissue in HSCC is typically viewed as a progressive pathological sequence typical of tumorigenesis. Nonetheless, the alterations in diverse cell clusters within the tissue microenvironment (TME) throughout tumorigenesis and their impact on the development of HSCC are yet to be fully understood.

Methods

We employed single-cell RNA sequencing and TCR/BCR sequencing to sequence 60,854 cells from nine tissue samples representing different stages during the progression of HSCC. This allowed us to construct dynamic transcriptomic maps of cells in diverse TME across various disease stages, and experimentally validated the key molecules within it.

Results

We delineated the heterogeneity among tumor cells, immune cells (including T cells, B cells, and myeloid cells), and stromal cells (such as fibroblasts and endothelial cells) during the tumorigenesis of HSCC. We uncovered the alterations in function and state of distinct cell clusters at different stages of tumor development and identified specific clusters closely associated with the tumorigenesis of HSCC. Consequently, we discovered molecules like MAGEA3 and MMP3, pivotal for the diagnosis and treatment of HSCC.

Discussion

Our research sheds light on the dynamic alterations within the TME during the tumorigenesis of HSCC, which will help to understand its mechanism of canceration, identify early diagnostic markers, and discover new therapeutic targets.

Laryngoscopy-based scoring system for the diagnosis of vocal fold leukoplakia

OBJECTIVE

To propose a scoring system based on laryngoscopic characteristics for the differential diagnosis of benign and malignant vocal fold leukoplakia.

METHODS

Laryngoscopic images from 200 vocal fold leukoplakia cases were retrospectively analysed. The laryngoscopic signs of benign and malignant vocal fold leukoplakia were compared, and statistically significant features were assigned and accumulated to establish the leukoplakia finding score.

RESULTS

A total of five indicators associated with malignant vocal fold leukoplakia were included to construct the leukoplakia finding score, with a possible range of 0-10 points. A score of 6 points or more was indicative of a diagnosis of malignant vocal fold leukoplakia. The sensitivity, specificity and accuracy values of the leukoplakia finding score were 93.8 per cent, 83.6 per cent and 86.0 per cent, respectively. The consistency in the leukoplakia finding score obtained by different laryngologists was strong (kappa = 0.809).

CONCLUSION

This scoring system based on laryngoscopic characteristics has high diagnostic value for distinguishing benign and malignant vocal fold leukoplakia.

Tislelizumab and radiation therapy in low-risk early-stage extranodal natural killer/T-cell lymphoma, nasal type: a phase II study protocol

Low-risk early-stage extranodal natural killer/T-cell lymphoma, nasal type has a favorable outcome with radiation therapy alone, and the addition of chemotherapy shows no survival benefit. Nonetheless, a proportion of patients will relapse or progress, with a dismal outcome, highlighting the need for a novel therapeutic strategy. Promising preliminary findings indicate the efficacy of PD-1/PD-L1 inhibitors in extranodal natural killer/T-cell lymphoma, nasal type, with good toxicity profiles. Here we describe the design of a phase II study (CLCG-NKT-2101), which is evaluating the safety and efficacy of adding anti-PD-1 antibody to the current radiation therapy regimen in low-risk early-stage extranodal natural killer/T-cell lymphoma, nasal type patients. Tislelizumab will be added in an inductive and concurrent way to radiation therapy. The primary end point will be the complete response rate after induction immunotherapy. Clinical trial registration: ClinicalTrials.gov (NCT05149170).

The Detection of Nasopharyngeal Carcinomas Using a Neural Network Based on Nasopharyngoscopic Images

OBJECTIVE

To construct and validate a deep convolutional neural network (DCNN)-based artificial intelligence (AI) system for the detection of nasopharyngeal carcinoma (NPC) using archived nasopharyngoscopic images.

METHODS

We retrospectively collected 14107 nasopharyngoscopic images (7108 NPCs and 6999 noncancers) to construct a DCNN model and prepared a validation dataset containing 3501 images (1744 NPCs and 1757 noncancers) from a single center between January 2009 and December 2020. The DCNN model was established using the You Only Look Once (YOLOv5) architecture. Four otolaryngologists were asked to review the images of the validation set to benchmark the DCNN model performance.

RESULTS

The DCNN model analyzed the 3501 images in 69.35 s. For the validation dataset, the precision, recall, accuracy, and F1 score of the DCNN model in the detection of NPCs on white light imaging (WLI) and narrow band imaging (NBI) were 0.845 ± 0.038, 0.942 ± 0.021, 0.920 ± 0.024, and 0.890 ± 0.045, and 0.895 ± 0.045, 0.941 ± 0.018, and 0.975 ± 0.013, 0.918 ± 0.036, respectively. The diagnostic outcome of the DCNN model on WLI and NBI images was significantly higher than that of two junior otolaryngologists (p < 0.05).

CONCLUSION

The DCNN model showed better diagnostic outcomes for NPCs than those of junior otolaryngologists. Therefore, it could assist them in improving their diagnostic level and reducing missed diagnoses.

LEVEL OF EVIDENCE

3 Laryngoscope, 134:127-135, 2024.

Convolutional neural network based anatomical site identification for laryngoscopy quality control: A multicenter study

OBJECTIVES

Video laryngoscopy is an important diagnostic tool for head and neck cancers. The artificial intelligence (AI) system has been shown to monitor blind spots during esophagogastroduodenoscopy. This study aimed to test the performance of AI-driven intelligent laryngoscopy monitoring assistant (ILMA) for landmark anatomical sites identification on laryngoscopic images and videos based on a convolutional neural network (CNN).

MATERIALS AND METHODS

The laryngoscopic images taken from January to December 2018 were retrospectively collected, and ILMA was developed using the CNN model of Inception-ResNet-v2 + Squeeze-and-Excitation Networks (SENet). A total of 16,000 laryngoscopic images were used for training. These were assigned to 20 landmark anatomical sites covering six major head and neck regions. In addition, the performance of ILMA in identifying anatomical sites was validated using 4000 laryngoscopic images and 25 videos provided by five other tertiary hospitals.

RESULTS

ILMA identified the 20 anatomical sites on the laryngoscopic images with a total accuracy of 97.60 %, and the average sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 100 %, 99.87 %, 97.65 %, and 99.87 %, respectively. In addition, multicenter clinical verification displayed that the accuracy of ILMA in identifying the 20 targeted anatomical sites in 25 laryngoscopic videos from five hospitals was ≥95 %.

CONCLUSION

The proposed CNN-based ILMA model can rapidly and accurately identify the anatomical sites on laryngoscopic images. The model can reflect the coverage of anatomical regions of the head and neck by laryngoscopy, showing application potential in improving the quality of laryngoscopy.

Deep Learning for nasopharyngeal Carcinoma Identification Using Both White Light and Narrow-Band Imaging Endoscopy

OBJECTIVES/HYPOTHESIS

To develop a deep-learning-based automatic diagnosis system for identifying nasopharyngeal carcinoma (NPC) from noncancer (inflammation and hyperplasia), using both white light imaging (WLI) and narrow-band imaging (NBI) nasopharyngoscopy images.

STUDY DESIGN

Retrospective study.

METHODS

A total of 4,783 nasopharyngoscopy images (2,898 WLI and 1,885 NBI) of 671 patients were collected and a novel deep convolutional neural network (DCNN) framework was developed named Siamese deep convolutional neural network (S-DCNN), which can simultaneously utilize WLI and NBI images to improve the classification performance. To verify the effectiveness of combining the above-mentioned two modal images for prediction, we compared the proposed S-DCNN with two baseline models, namely DCNN-1 (only considering WLI images) and DCNN-2 (only considering NBI images).

RESULTS

In the threefold cross-validation, an overall accuracy and area under the curve of the three DCNNs achieved 94.9% (95% confidence interval [CI] 93.3%-96.5%) and 0.986 (95% CI 0.982-0.992), 87.0% (95% CI 84.2%-89.7%) and 0.930 (95% CI 0.906-0.961), and 92.8% (95% CI 90.4%-95.3%) and 0.971 (95% CI 0.953-0.992), respectively. The accuracy of S-DCNN is significantly improved compared with DCNN-1 (P-value <.001) and DCNN-2 (P-value = .008).

CONCLUSION

Using the deep-learning technology to automatically diagnose NPC under nasopharyngoscopy can provide valuable reference for NPC screening. Superior performance can be obtained by simultaneously utilizing the multimodal features of NBI image and WLI image of the same patient.

LEVEL OF EVIDENCE

3 Laryngoscope, 2021.

Laryngoscopic characteristics related to the risk of cancerization of vocal cord leukoplakia

BACKGROUND

The diagnosis of vocal cord leukoplakia mainly relies on laryngoscopy. The morphology of vocal cord leukoplakia under laryngoscope is closely related to the pathological nature of leukoplakia. The specific manifestations associated with high-risk vocal cord leukoplakia remain to be explored.

OBJECTIVE

To investigate the characteristics of low-risk and high-risk vocal cord leukoplakia under conventional white light imaging (WLI) laryngoscopy and its correlations with narrow band imaging (NBI) laryngoscopy.

METHODS

One hundred and seventy-five cases of vocal cord leukoplakia were divided into low-risk and high-risk groups. The characteristics of low-risk and high-risk vocal cord leukoplakia under WLI laryngoscopy and its correlations with NBI laryngoscopy were analyzed.

RESULTS

Logistic regression analysis showed that thickness and hyperemia were independent factors (p < .05). Hyperemia had a strong consistency with the visualization of spots under NBI laryngoscopy (kappa = 0.758). The sign of hyperemia and the NBI classification had equivalent diagnostic efficacy for predicting the risk of cancerization of vocal cord leukoplakia.

CONCLUSION

The sign of hyperemia under WLI laryngoscopy is significantly correlated with the visualized spots under NBI laryngoscopy. Hyperemia is an important feature for predicting malignant potential of vocal cord leukoplakia.

Posttreatment Non-Improved Vocal Cord Mobility Indicates the Need of Salvage Surgery for Hypopharyngeal Carcinomas

Introduction

We aimed to analyze the relationship between the changed status of vocal cord mobility and survival outcomes.

Methods

Seventy-eight patients with dysfunctional vocal cords and hypopharyngeal carcinomas accepted non-surgical treatment as the initial therapy between May 2009 and December 2016. Vocal cord mobility was assessed before and after the initial non-surgical treatment. The cord mobility status was classified as normal, impaired, and fixed. Patients with improved mobility (IM) (n =56) were retrospectively analyzed for disease-free survival (DFS), recurrence-free survival (RFS), and overall survival (OS) and compared with 22 patients with non-improved mobility (non-IM).

Results

Fifty-six (71.8%) patients had improved cord mobility after the initial non-surgical treatment. The non-improved cord mobility was significantly associated with shortened DFS (P=0.005), RFS (P=0.002), and OS (P<0.001). If non-improved cord mobility was regarded as an indicator for local-regional recurrence within 1 year, the sensitivity and the specificity were 60.9%, 87.5% respectively. The multivariate analysis showed that improved cord mobility (P=0.006) and salvage surgery (P=0.015) were both independent protective factors for OS.

Conclusion

Changes in cord mobility are a key marker for predicting prognosis. Non-improved cord mobility may indicate a high possibility of a residual tumor, therefore, patients whose cord mobility remains dysfunctional or worsens after non-surgical treatment might need an aggressive salvage strategy.

[The progress of narrow band imaging endoscopy in diagnosis of vocal cord leukoplakia]

SummaryThe appearances of vocal cord leukoplakia are largely identical in the macroscopic examination even though the pathological character may differ. This makes it difficult for physicians to evaluate the extent of dysplasia of vocal cord leukoplakia and detect the occurrence of canceration using the conventional laryngoscopy, which might result in overtreatment or undertreatment of vocal cord leukoplakia in different patients. Therefore, an accurate preoperative assessment of the pathological character of vocal cord leukoplakia shows clinical significance in the selection of an appropriate treatment plan and predicting the prognosis of a patient. Recent studies have found that narrow band imaging（NBI） endoscopy can facilitate the early and differential diagnosis of head and neck cancers by observing the intraepithelial papillary capillary loop（IPCL） patterns at the mucosal surfaces. In this paper, the recent progress of NBI endoscopy in the diagnosis of vocal cord leukoplakia is reviewed.

[Risk factors and survival analysis for synchronous esophageal carcinoma in patients with hypopharyngeal carcinoma]

Objective: To investigate the risk factors and survival status of hypopharyngeal carcinoma with synchronous second primary carcinoma of the esophagus. Methods: One hundred and sixty patients with newly diagnosed hypopharyngeal carcinoma from January 2009 to December 2012 were retrospectively reviewed. The clinical data, tumor-related information and follow-up results were collected and analyzed. Results: Forty-three synchronous esophageal carcinomas (27%) were detected in 160 patients with hypopharyngeal carcinoma, and most patients (72%) were at an early stage. On univariate analysis, the median age of less than 55 years old (χ(2)=4.525, P=0.033), excessive alcohol consumption (χ(2)=6.942, P=0.008) and invasion site more than 3 anatomical regions (χ(2)=21.503, P=0.000) had a significant correlation with the occurrence of synchronous esophageal carcinomas. Multivariate analysis showed that excessive alcohol consumption (OR=4.787, P=0.029) and invasion site more than 3 anatomical regions (OR=14.391, P=0.000) were independent risk factors. The median survival time was 26 months in 43 patients with synchronous esophageal carcinomas, which was significantly lower than that (58 months) in patients without secondary primary esophageal carcinomas (χ(2)=11.981, P=0.001). Conclusions: There is a high incidence of synchronous esophageal carcinoma in hypopharyngeal carcinoma patients, affecting the prognosis of hypopharyngeal carcinoma. Surveillance for esophageal carcinomas in patients with hypopharyngeal carcinoma, especially in excessive alcohol drinkers, is warranted.

Classification of nasopharyngeal microvessels detected by narrow band imaging endoscopy and its role in the diagnosis of nasopharyngeal carcinoma

CONCLUSIONS

The new NBI classification of nasopharyngeal mucosal microvessels was helpful in differential diagnosis for benign and malignant lesions of the nasopharyngeal region. NBI endoscopy facilitates the detection of superficial nasopharyngeal lesions and might enable early diagnoses of NPC.

OBJECTIVES

To propose a new microvessel diagnostic classification using narrow band imaging (NBI) endoscopy and to investigate the role of an NBI classification in the diagnosis of nasopharyngeal carcinoma (NPC).

METHODS

Between January 2009 and December 2010, a total of 290 patients with a suspected nasopharyngeal tumor were enrolled in this study. The NBI endoscopic system was used to examine the nasopharynx. Each lesion was observed by NBI endoscopy and judged according to the detailed morphologic findings of epithelial microvessels. The superficial microvessel patterns were classified into five types (types I-V). The diagnostic effectiveness of NBI for benign and malignant nasopharyngeal lesions was evaluated.

RESULTS

Approximately 93.5% (29/31) of lymphoid hyperplasia appeared as the type II microvessel pattern under NBI endoscopy, whereas 96.2% (51/53) of nasopharyngeal radiation-induced inflammation exhibited the type III or IV microvessel pattern. The characteristics of NPC under NBI endoscopy mainly appeared as a type V microvessel pattern (79.5%, 167/210), and the sensitivity, specificity, predictive value (PPV), and negative predictive value (NPV) of type V in the diagnosis of NPC were 79.5%, 91.3%, 96.0%, and 62.9%, respectively. NBI endoscopy could significantly improve the detection of superficial lesions (χ²=12.789, p = .000).

[Diagnostic value of transbronchial needle aspiration combined with transesophageal endoscopic ultrasound-guided fine needle aspiration in mediastinal and pulmonary hilar lesions]

OBJECTIVE

To evaluate the value of transbronchial needle aspiration (TBNA) combined with transesophageal endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) in the diagnosis of mediastinal and pulmonary hilar lesions as well as in the lymph node staging (N staging) of lung cancer.

METHODS

129 patients with mediastinal and pulmonary hilar lesions underwent either TBNA or EUS-FNA with cytological needle aspiration. The samples obtained from TBNA or EUS-FNA were examined by both cytologiy and histopathology.

RESULTS

Of the 129 patients, 59 underwent TBNA and 70 EUS-FNA. The diagnostic rate were 84.7% (50/59) by TBNA and 94.3% (66/70) by EUS-FNA, resepectively. The diagnosis of 116 (89.9%) patients were confirmed by either TBNA or EUS-FNA. The pathological and cytological diagnostic rates were 92.2% (107/116) and 88.0% (102/116), resepectively. The diagnostic rate was elevated by 8.4% (9/107) through pathological examination. The histological classification rates by cytological and pathological examination were 73.8% (76/116) and 89.3% (92/103), respectively. The diagnostic rate of histological classification was elevated by 35.5% (27/76) through pathological examination.

CONCLUSION

The combination of TBNA and EUS-FNA can improve the diagnostic rate for wider mediastinal and pulmlonary hilar lesions. Pathological examination of the samples obtained from the TBNA and EUS-FNA can elevate not only the rate of diagnosis but also the rate of histological classification.

The ubiquitin-proteasome pathway mediates gelsolin protein downregulation in pancreatic cancer

A well-known observation with respect to cancer biology is that transformed cells display a disturbed cytoskeleton. The underlying mechanisms, however, remain only partly understood. In an effort to identify possible mechanisms, we compared the proteome of pancreatic cancer with matched normal pancreas and observed diminished protein levels of gelsolin--an actin filament severing and capping protein of crucial importance for maintaining cytoskeletal integrity--in pancreatic cancer. Additionally, pancreatic ductal adenocarcinomas displayed substantially decreased levels of gelsolin as judged by Western blot and immunohistochemical analyses of tissue micoarrays, when compared with cancerous and untransformed tissue from the same patients (P < 0.05). Importantly, no marked downregulation of gelsolin mRNA was observed (P > 0.05), suggesting that post-transcriptional mechanisms mediate low gelsolin protein levels. In apparent agreement, high activity ubiquitin-proteasome pathway in both patient samples and the BxPC-3 pancreatic cancer cell line was detected, and inhibition of the 26s proteasome system quickly restored gelsolin protein levels in the latter cell line. The status of ubiquitinated gelsolin is related to lymph node metastasis of pancreatic cancer. In conclusion, gelsolin levels are actively downregulated in pancreatic cancer and enhanced targeting of gelsolin to the ubiquitin-proteasome pathway is an important contributing factor for this effect.

[Expression of annexin I in human pancreatic cancer and the influence of its down-regulation on biology of this cancer]

OBJECTIVE

To investigate the expression of annexin in human pancreatic cancer and to elucidate its role in oncogenesis of pancreatic cancer.

METHODS

A pancreatic carcinoma cell line Suit-II with high-expression of annexin I gene was adopted. Three subtypes of annexin I -siRNA sequences and a non-related fragment were combined, and the eukaryotic expression vectors bearing siRNA fragments were constructed. Then they were transfected into pancreatic carcinoma cells to knock down the expression of annexin I by RNAi. After knocking down the expression of annexin I , the growth speed, cell cycling, morphological features and apoptosis of pancreatic carcinoma cells were examined by RT-PCR and MTT test.

RESULTS

When the expression of annexin I was blocked, the growth speed of pancreatic carcinoma cells was significantly decreased, the morphological features were changed and pronounced apoptosis occurred.

CONCLUSION

Annexin I can modulate pancreatic carcinoma cell cycle, promote the cell proliferation, increasingly stimulate the cell growth, and suppress the process of apoptosis in pancreatic carcinoma cells.

Operative colonoscopy in cancer patients

Gastrointestinal endoscopy has experienced tremendous developments in technology and equipment over the past decades. It is not only a diagnostic tool, but it also allows some interventional treatments in benign and malignant digestive diseases. Operative colonoscopy has been used to perform curative treatment of various kinds of polyps, flat and carpet-like adenomas and early colorectal carcinomas. Endoscopic palliative treatment strategies, such as the placement of self-expandable metal stents (SEMS), laser ablation, photodynamic therapy (PDT), argon plasma coagulation (APC), electrocoagulation, and injection therapy, have been proved to effectively alleviate advanced colorectal cancer (CRC) associated symptoms and maintain or improve the quality of the patient's remaining life.

[Progress of cancer stem cells of solid tumor]

Stem cells have some characteristics similar to tumor cells, and may be the origin of tumor cells. Stem cell-like subpopulation has been isolated and identified from hematopoietic system malignancies and solid tumors, and defined as cancer stem cells. Cancer stem cells play important roles in the initiation and progression of malignancies. Tumor might be a kind of diseases of stem cells, and this finding may help to understand the mechanisms of tumorigenesis and instruct clinical therapeutics.

The clinical value of serum CEA, CA19-9, and CA242 in the diagnosis and prognosis of pancreatic cancer

AIM

Serum tumour markers carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9) and CA242 were investigated to evaluate the values of single and combined test in the diagnosis and prognosis of pancreatic cancer.

METHODS

Pre-operative serum CEA, CA19-9 and CA242 were measured in 105 pancreatic cancers, 70 non-pancreatic malignancies and 30 benign pancreatic diseases.

RESULTS

The sensitivity of CA19-9 alone was the highest in pancreatic cancer patients (80%), but the specificity was significantly lower than that of CEA and CA242 (P<0.01). The combination of CEA and CA242 could increase the specificity to 92%. In serum CA242 positive patients, the survival time was remarkably shorter than that of patients with negative result (P<0.01). The survival time in patients with more than two markers positive expression of CEA, CA19-9 and CA242 was obviously shorter than that of only one or no marker positive expression (P<0.05).

CONCLUSION

The diagnostic rate of CA19-9 in pancreatic cancer is better than that of CEA and CA242. Combined detection of CEA and CA242 can improve the diagnostic specificity obviously. High levels of serum markers are associated with advanced stage of the disease. Patients with two or three markers positive expression of CEA, CA19-9, and CA242 simultaneously had a shorter survival time.

Overexpression of annexin 1 in pancreatic cancer and its clinical significance

AIM: To investigate the expression of annexin I in pancreatic cancer and its relationship with the clinicopathologic factors, and to evaluate its potential clinical significance.

METHODS: Annexin I expression was analyzed by Western blot and immunohistochemical staining in pancreatic adenocarcinoma and multi-tissue microarrays (MTAs).

RESULTS: Western blot analysis showed that annexin I was overexpressed in 84.6% (11/13) pancreatic ductal adenocarcinomas. Immunohistochemistry analysis of pancreatic cancer in MTAs showed that annexin I protein was 71.4% (30/42) positive which was markedly increased compared with that in the tumor matched normal pancreas tissues 18.4% (7/38) (P < 0.01). In the meantime, the high expression of annexin 1 was correlated with the poor differentiation of pancreatic adenocarcinoma.

CONCLUSION: Annexin 1 overexpression is a frequent biological marker and correlates with the differentiation of pancreatic cancer during tumorigenesis.

[Application of proteomic approach for solid tumor marker discovery]

In the post-genome era, the major mission of biology is to understand the functions of genome. To well know the whole book of genes, the proteins coded by different genes have to be studied more deeply since they are the final representatives of the specific genes. Proteomics is the key issue in the bioscience research. Using the two dimensional electrophoresis technique, the total proteins of tumor cells or tissues can be profiled first by their molecular weight and isoelectric points, after that, the specific interested proteins can be identified via mass spectrometry analysis combining with database searching. Cancer proteomics is a main part of the proteomics, by which we can understand the protein profiles during the different stages of the tumorigenesis and it brought a new hope for discovery of the tumor-specific biomarkers. Recently using proteomic tools with the laser capture microdissection (LCM) technique, more achievements have been made and many promising candidates of tumor-markers have been identified even most of them have not affirmed yet. This article will give a brief review about that.