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A systematic review and meta-analysis of the relationship between chromosome 18q genotype, DCC status and colorectal cancer prognosis.

Results from studies investigating the relationship between colorectal cancer survival and chromosome 18q allelic imbalance (AI)/loss of DCC expression (LOE) have been inconsistent. We have reviewed and pooled published studies to estimate the prognostic significance of chromosome 18q status more precisely. Data from 27 studies were eligible. Survival data were pooled using standard meta-analysis techniques. Considerable variation between assessment method, marker choice, and threshold for assigning AI/LOE was observed. Pooling data from a 2189 cases from 17 studies showed significantly worse overall survival in patients with AI/LOE (HR = 2.00, 95%CI: 1.49-2.69), maintained both in the adjuvant setting (HR = 1.69, 95%CI:1.13-2.54), and also by method (HR = 1.67, 95%CI: 1.19-2.36, genotyping microsatellites; HR = 3.00, 95%CI: 1.98-4.56, immunohistochemistry). There was however evidence of heterogeneity and publication bias. Cancers with chromosome 18q loss appear to have a poorer prognosis. Prospective studies using consistent methodology are needed to precisely quantify its effect and role in patients with stage II-III disease.

Allelic Imbalance↗

Coping and cancer prognosis.

Psychological responses to a diagnosis of breast cancer, assessed three months post operatively, are related to outcome 10 yr after operation. These results confirm the findings previously reported at 5 yr. The need for further study into the nature of the reported psychological response categories and the likely mediating mechanisms is emphasized.

Adaptation, Psychological↗

Breast carcinomas fulfill the Warburg hypothesis and provide metabolic markers of cancer prognosis.

The aim of this study was to investigate selected proteomic markers of the metabolic phenotype of breast carcinomas as prognostic markers of cancer progression. For this purpose, a series of 101 breast carcinomas and 13 uninvolved breast samples were examined for quantitative differences in protein expression of mitochondrial and glycolytic markers. The beta-subunit of the mitochondrial H(+)-ATP synthase (beta-F1-ATPase) and heat shock protein 60 (Hsp60), and the glycolytic glyceraldehyde-3-phosphate dehydrogenase, pyruvate kinase and lactate dehydrogenase were identified by immunological techniques. Correlations of the expression level of the protein markers and of the ratios derived from them were established with the clinicopathological information of the tumors and the follow-up data of the patients. The metabolic proteome of breast cancer specimens revealed a pronounced shift towards an enhanced glycolytic phenotype concurrent with a profound alteration on the mitochondrial beta-F1-ATPase/Hsp60 ratio when compared with normal samples. Discriminant analysis using markers of the metabolic signature as predictor variables revealed a classification sensitivity of approximately 97%. Kaplan-Meier survival analysis showed that several of the proteomic variables significantly correlated with overall and disease-free survival of the patients. The expression level of beta-F1-ATPase per se allowed the identification of a subgroup of breast cancer patients with significantly worse prognosis. Multivariate Cox regression analysis indicated that tumor expression of beta-F1-ATPase is a significant marker independent from clinical variables to assess the prognosis of the patients. We conclude that the alteration of the mitochondrial and glycolytic proteomes is a hallmark feature of breast cancer further providing relevant markers to aid in the prognosis of breast cancer patients.

Biomarkers, Tumor↗

Machine learning approaches for cancer prognosis and diagnosis via non-coding RNA: a comprehensive review.

Non-coding RNAs (ncRNAs), once considered genomic dark matter, are now established as key regulators of gene expression with widespread roles in cellular homeostasis and disease. In cancer, ncRNA expression is frequently and systematically dysregulated, and many of these molecules circulate in stable, protected form within biofluids, offering a compelling basis for non-invasive or minimally invasive diagnostic strategies. However, their clinical translation remains substantially hindered to date due to biological complexity, technical noise, and high dimensionality inherent to ncRNA expression datasets. In this context, machine learning (ML) has emerged as a powerful analytical tool to address these challenges, enabling the identification of subtle, reproducible ncRNA signatures predictive of diverse malignancies. This review critically evaluates ML-driven frameworks for cancer diagnosis and prognosis across four ncRNA subclasses, namely miRNAs, lncRNAs, circRNAs, and piRNAs, while also acknowledging the biophysical and thermodynamic models that reinforce ncRNA bioinformatics. Despite substantial methodological progress in ML-based cancer diagnosis and prognosis, key challenges persist, including tumor biological heterogeneity, limited multicenter validation, and the lack of widely adopted standardized protocols for preprocessing, normalization, and reporting workflows. Furthermore, many current ML models lack interpretability in biological or clinical context, constraining their translational utility. By synthesizing recent advances and identifying unresolved barriers, this review charts a roadmap for developing a robust, clinically actionable ncRNA biomarker platform for cancer detection. With global cancer incidence projected to exceed 35 million annual cases by 2050, validated ncRNA-ML-driven frameworks hold potential to revolutionize early-stage detection and personalized therapeutic strategies, thereby reducing the escalating socio-economic burden of cancer worldwide.

Humans↗

Metaplastic breast cancer: prognosis and response to systemic therapy.

BACKGROUND: Metaplastic breast cancer is a rare disease with little information available to guide therapy. The goals of this study were to describe the patient characteristics, systemic therapies and clinical outcomes of all patients with primary metaplastic breast cancer treated at Mayo Clinic between 1976 and 1997. PATIENTS AND METHODS: Patients were identified through the medical index of Mayo Clinic. Clinical information was abstracted from the medical record of each patient. A literature search using MEDLINE and CANCERLIT for the years 1966-1997 was performed to identify all previously reported case series in the English language containing 10 or more patients. RESULTS: Twenty-seven patients were identified with a median age at diagnosis of 59 years (range 39-90 years). The median tumor size was 3.4 cm (range 0.5-7.0 cm). One patient had metastatic disease at presentation. Twenty-three patients had information available on nodal status, estrogen receptor (ER) and progesterone receptor (PR) status. Twenty patients (87%) were node-negative and three patients (13%) were both ER and PR positive. Disease-free survival (DFS) and overall survival (OS) were assessed for those who presented with local-regional disease. The three-year DFS was 40% (95% CI: 23%-73%) and the three-year OS was 71% (95% CI: 51%-97%). In univariate analysis, those patients 60 years of age or older at diagnosis were found to have an increased DFS (P = 0.011). Among those with prior estrogen use, both DFS (P = 0.022) and OS (P = 0.003) were decreased. Thirteen patients (50%) developed metastases with a median DFS time of 2.4 years. Ten different chemotherapy regimens were utilized for metastatic disease and one partial response was observed. There were no responses to tamoxifen in four patients with metastatic disease. Median survival after the development of metastases was eight months. CONCLUSIONS: Despite presenting more commonly as node-negative disease, DFS and OS in metaplastic breast cancer is decreased compared to typical adenocarcinomas. Systemic therapy also appears to be less effective. Patients with metaplastic breast cancer, particularly those with metastatic disease could be appropriate candidates for innovative therapeutic regimens.

Adult↗

BRCA1 promoter methylation predicts adverse ovarian cancer prognosis.

OBJECTIVE: To compare the clinical outcome of ovarian cancer patients whose tumors contain BRCA1 genes silenced by promoter hypermethylation to patients with germline BRCA1 mutations and to patients with wild-type BRCA genes. METHODS: Ovarian cancers from a hospital-based tumor bank were characterized as having a BRCA1 mutation; or a methylated BRCA1, BRCA1 pseudogene or MLH1 promotor; or a wild-type BRCA gene. Survival of patients with methylated BRCA1 promoters (N = 11) was compared to that of patients with wild-type BRCA genes (N = 30) and BRCA1 mutations (N = 22). A methylator phenotype was defined to include tumors with hypermethylation of BRCA1, hMLH1 and/or dBRCA1 pseudogene promoters (N = 23). RESULTS: All cohorts had comparable clinical factors except for age at diagnosis. Median age of methylated BRCA1 and wild-type BRCA patients was older than BRCA1 mutation carriers (60 and 63 versus 48 years; P = 0.04). The median disease-free interval was significantly shorter for patients with a methylated BRCA1 promoter (9.8 months) than for BRCA1 mutation carriers (39.5 months; P = 0.04). Median overall survival was also significantly shorter for patients with a methylated BRCA1 promoter (35.6 months) than BRCA1 mutation carriers (78.6 months; P = 0.02). The combined methylator phenotype cohort had significantly shorter survival (36.1 months) compared to wild-type BRCA patients (63.3 months; P = 0.02). CONCLUSION: These data suggest that methylation of the BRCA1 promoter is associated with poor patient outcome. BRCA1 may be part of a global panel of methylated genes associated with aggressive disease.

CpG Islands↗

Breast cancer prognosis by combinatorial analysis of gene expression data.

INTRODUCTION: The potential of applying data analysis tools to microarray data for diagnosis and prognosis is illustrated on the recent breast cancer dataset of van 't Veer and coworkers. We re-examine that dataset using the novel technique of logical analysis of data (LAD), with the double objective of discovering patterns characteristic for cases with good or poor outcome, using them for accurate and justifiable predictions; and deriving novel information about the role of genes, the existence of special classes of cases, and other factors. METHOD: Data were analyzed using the combinatorics and optimization-based method of LAD, recently shown to provide highly accurate diagnostic and prognostic systems in cardiology, cancer proteomics, hematology, pulmonology, and other disciplines. RESULTS: LAD identified a subset of 17 of the 25,000 genes, capable of fully distinguishing between patients with poor, respectively good prognoses. An extensive list of 'patterns' or 'combinatorial biomarkers' (that is, combinations of genes and limitations on their expression levels) was generated, and 40 patterns were used to create a prognostic system, shown to have 100% and 92.9% weighted accuracy on the training and test sets, respectively. The prognostic system uses fewer genes than other methods, and has similar or better accuracy than those reported in other studies. Out of the 17 genes identified by LAD, three (respectively, five) were shown to play a significant role in determining poor (respectively, good) prognosis. Two new classes of patients (described by similar sets of covering patterns, gene expression ranges, and clinical features) were discovered. As a by-product of the study, it is shown that the training and the test sets of van 't Veer have differing characteristics. CONCLUSION: The study shows that LAD provides an accurate and fully explanatory prognostic system for breast cancer using genomic data (that is, a system that, in addition to predicting good or poor prognosis, provides an individualized explanation of the reasons for that prognosis for each patient). Moreover, the LAD model provides valuable insights into the roles of individual and combinatorial biomarkers, allows the discovery of new classes of patients, and generates a vast library of biomedical research hypotheses.

Breast Neoplasms↗

Phase I study of concomitant chemoradiotherapy with paclitaxel, fluorouracil, gemcitabine, and twice-daily radiation in patients with poor-prognosis cancer of the head and neck.

PURPOSE: We previously demonstrated high locoregional control, in patients with poor-prognosis head and neck cancer (HNC), using paclitaxel, 5-fluorouracil, hydroxyurea, and concomitant hyperfractionated radiotherapy. In the present phase I trial, gemcitabine, a novel antimetabolite with strong radiation-enhancing activity, replaces hydroxyurea. We sought to determine the recommended phase II dose and clinical efficacy in poor-prognosis HNC patients. EXPERIMENTAL DESIGN: Seventy-two patients enrolled. Eligibility criteria included recurrent or second primary HNC, metastases or expected 2-year survival <20%. Chemoradiotherapy consisted of 5-fluorouracil, 600 mg/m(2)/d, for 5 days; paclitaxel, 100 mg/m(2) on Day 1; and concurrent 1.5 Gy twice-daily radiation for 5 days. Gemcitabine was dose escalated, 50-300 mg/m(2) on day 1. Cycles repeated every 14 days until the completion of chemoradiation. Dose-limiting toxicities (DLTs) included: neutropenic fever; grade > or =4 neutropenia or thrombocytopenia for >4 days; grade > or =4 mucositis or dermatitis for >7 days; or grade 3 toxicity necessitating chemotherapy dose reductions. Non-DLT dose reductions in 5-fluorouracil and/or paclitaxel were allowed. RESULTS: Seventy-nine percent of assessable patients experienced a clinical response. Five-year actuarial survival is 33.0%, and locoregional control is 61.4%. The recommended phase II dose of gemcitabine in this regimen is 100 mg/m(2) during cycles 1-5 (1 of 7 patients with DLT) or 200 mg/m(2) delivered only during cycles 3-5 (3 of 19 with DLT). Grades 3 and 4 mucositis (56 and 21%, respectively) and dermatitis (25 and 21%, respectively) were common. CONCLUSIONS: Gemcitabine, 5-fluorouracil, paclitaxel, and twice-daily radiation, delivered on alternating weeks, is active in patients with poor-prognosis HNC, although severe mucositis limits the clinical applicability of this regimen. Refinements in radiotherapy, including intensity-modulated radiation therapy, may improve the tolerance for this regimen.

Adolescent↗

"T" category and operable breast cancer prognosis.

The authors report on 4,034 consecutively operated breast cancer cases, evaluating the correlation between clinical T category and long term survival. Age and pathologic nodal status were also considered as independent prognostic factors. Univeriate and multivariate (Cox's) analysis confirmed N status as the most powerful single prognostic indicator and did not reveal any prognostic correlation with age. T category was a strong prognostic indicator, independently of N status, the 10 year overall survival of T1, T2 or T3-4 cases being 0.86, 0.76 and 0.73 in N- and 0.73, 0.56 and 0.35 in N+ subgroups respectively. T category should be carefully considered not only in deciding the extent of surgical excision but also in planning adjuvant postoperative treatment.

Adult↗

Phase I study of concomitant chemoradiotherapy with paclitaxel, fluorouracil, and hydroxyurea with granulocyte colony-stimulating factor support for patients with poor-prognosis cancer of the head and neck.

PURPOSE: We have previously demonstrated high locoregional control rates in patients with poor-prognosis head and neck cancer using fluorouracil (5-FU), hydroxyurea (HU), and concomitant radiotherapy (RT) (FHX). In the trial reported here, we added paclitaxel to the FHX base and used hyperfractionated RT to determine the maximum-tolerated dose (MTD), toxicities, and response rate in a poor-prognosis group of patients. METHODS: Fifty-five patients who had either failed to respond to prior RT (n = 25) or surgery, had a coexistent or prior second malignancy, or who had unresectable or metastatic disease and an expected 2-year survival rate less than 10%, were treated. Chemoradiotherapy consisted of 2 Gy on days 2 to 6 (once-daily RT cohorts) or 1.5 Gy twice a day (hyperfractionated cohorts). Simultaneous HU (500 or 1,000 mg twice per day for 11 doses) and infusional 5-FU (600-800 mg/m2/d for 5 days) were given along with infusional paclitaxel at escalating doses of 5 to 25 mg/m2/d for 5 days. Granulocyte colony-stimulating factor (G-CSF) was administered on days 7 through 13 at 5 microg/kg/d. Cycles were repeated every 14 days until completion of RT. Plasma paclitaxel levels were determined on day 4 of cycle 1. RESULTS: Dose-limiting toxicities (DLTs) consisted of myelosuppression, mucositis, dermatitis, and diarrhea. Plasma concentrations of paclitaxel greater than 10 nmol/L were achieved in 65% of patients at the recommended phase II dose (RPTD) level of paclitaxel. Seventy percent of assessable patients achieved a complete response (CR) to therapy. Twenty patients were treated at the RPTD of HU 500 mg orally twice daily for 11 doses, 5-FU 600 mg/m2/d by continuous infusion for 5 days; and paclitaxel 20 mg/m2/d by continuous infusion for 5 days, with twice-daily RT. CONCLUSION: The addition of infusional paclitaxel and hyperfractionated RT to FHX is feasible. Radiosensitizing levels of paclitaxel are achieved in most patients. The high locoregional control rate of this regimen justifies further investigation in previously untreated patients.

Adult↗

Importance of nuclear morphology in breast cancer prognosis.

The purpose of this study is to define prognostic relationships between computer-derived nuclear morphological features, lymph node status, and tumor size in breast cancer. Computer-derived nuclear size, shape, and texture features were determined in fine-needle aspirates obtained at the time of diagnosis from 253 consecutive patients with invasive breast cancer. Tumor size and lymph node status were determined at the time of surgery. Median follow-up time was 61.5 months for patients without distant recurrence. In univariate analysis, tumor size, nuclear features, and the number of metastatic nodes were of decreasing significance for distant disease-free survival. Nuclear features, tumor size, and the number of metastatic nodes were of decreasing significance for overall survival. In multivariate analysis, the morphological size feature, largest perimeter, was more predictive of disease-free and overall survival than were either tumor size or the number of axillary lymph node metastases. This morphological feature, when combined with tumor size, identified more patients at both the good and poor ends of the prognostic spectrum than did the combination of tumor size and axillary lymph node status. Our data indicate that computer analysis of nuclear features has the potential to replace axillary lymph node status for staging of breast cancer. If confirmed by others, axillary dissection for breast cancer staging, estimating prognosis, and selecting patients for adjunctive therapy could be eliminated.

Analysis of Variance↗

Seasonal and geographical variations in lung cancer prognosis in Norway. Does Vitamin D from the sun play a role?

Vitamin D derivatives can modulate proliferation and differentiation of cancer cells. Our main source of Vitamin D is ultraviolet (UV) radiation-induced synthesis in skin following sun exposure. UV measurements show that the ambient annual UV exposures increase by about 50% from north to south in Norway. As judged from the incidence rates of squamous cell carcinoma, the same is true for the average personal UV exposures. Solar ultraviolet B (UVB) (280-320nm) exhibits a strong seasonal variation with a minimum during the winter months. The present work aims at investigating the impact of season of diagnosis and residential region, both influencing the Vitamin D level, on the risk of death from lung cancer in patients diagnosed in Norway. Data on all incident cases of lung cancer between 1964 and 2000 were collected. Risk estimates were calculated as relative risk (RR), with 95% confidence intervals using Cox regression model. The seasonal variation of 25-hydroxyvitamin D was assessed from routine measurements of 15,616 samples performed at The Hormone Laboratory of Aker University Hospital. Our results indicate that season of diagnosis is of prognostic value for lung cancer patients, with a approximately 15% lower case fatality for young male patients diagnosed during autumn versus winter (RR=0.85; 95% CI, -0.73 to 0.99; p=0.04). Residing in a high UV region resulted in a further lowering of the death risk than residing in a low UV region. We propose, in agreement with earlier findings for prostate-, breast- colon cancer and Hodgkins lymphoma, that a high level of sun-induced 25-hydroxyvitamin D can be a prognostic advantage for certain groups of lung cancer patients, notably for young men. Lung cancer has for several decades been the leading cause of cancer-related mortality in men in Norway and during the last two decades, became the second most common cause of cancer-related death in women . There are two main types of lung cancer: small cell lung cancer for which chemotherapy is the primary treatment and non-small cell lung cancer, which in its early stages is treated primarily with surgery. Gender-related differences have been described in the literature with respect to survival after therapy, male gender being a significant independent negative prognostic factor . In Norway the 5 years relative survival for localized tumours is about 30% for females and 20% for males. Calcitriol, which is the most active form of Vitamin D, is involved in key regulatory processes such as proliferation, differentiation and apoptosis in a wide variety of cells . Mechanisms for these actions have been proposed to be the interaction of active Vitamin D derivatives with a specific nuclear receptor (VDR receptor) and/or with membrane targets . In vitro studies, performed with lung cancer cell lines, have shown an inhibitive effect of Vitamin D derivatives on cell-growth and proliferation . Furthermore, animal studies have demonstrated the capability of these compounds to suppress invasion, metastasis and angiogenesis in vivo , suggesting that administration of Vitamin D derivatives may be used as adjuvant therapy for lung cancer. Humans get optimal Vitamin D levels by exposure to sun or artificial ultraviolet B (UVB, 280-320nm) sources , and possibly also by consumption of food rich in this nutrient (fat fish, eggs, margarine, etc.) or of vitamin supplements . Among these sources, solar radiation appears to be the most important one . Thus, the Vitamin D status (assessed by the serum levels of 25-hydroxyvitamin D, calcidiol) exhibits a strong seasonal variation that parallels the seasonal change in the fluence of solar UVB that reaches the ground. During winter, the UVB fluence rate in the Nordic countries (50-71 degrees N) is below the level required for Vitamin D synthesis in skin . The maximal level of calcidiol is reached between the months July and September, and is 20-120% higher than the corresponding winter level . Recently we hypothesised that the seasonal variation of calcidiol might be of prognostic significance for colon-, breast- prostate cancer as well as for Hodgkins lymphoma in Norway. Patients diagnosed during summer and autumn have a better survival after standard treatment than patients diagnosed during the winter season . This might be a consequence of a higher Vitamin D level. An American study investigated the effect of season of surgery and recent Vitamin D intake on the survival of non-small cell lung cancer patients. The authors reported a significant beneficial joint effect of summer season and high Vitamin D intake compared with winter season and low Vitamin D intake while Vitamin D intake alone did not affect prognosis. Similar results were recently reported from a large study in United Kingdom involving over a million cancer patients including over 190,000 patients diagnosed with lung cancer . Norway (58-71 degrees N) has a significant north-south variation in UV fluence. This makes the country suitable for studies relating cancer epidemiology to UV levels . We investigated whether variations in UV, and, consequently, in Vitamin D level, influence the prognosis of lung cancer, using season of diagnosis and residential regions as variables. Survival data obtained for patients diagnosed over a 40 years period were compared with variations in serum Vitamin D levels obtained from routine measurements performed in The Hormone Laboratory of Aker University Hospital during the period 1996-2001. Seasonal and gender variations in Vitamin D level have been estimated from the analyses.

Aged↗

Application of DNA microarray technology in determining breast cancer prognosis and therapeutic response.

There are > 1.15 million cases of breast cancer diagnosed worldwide annually, and it is the second leading cause of cancer death in the European Union. The optimum management of patients with breast cancer requires accurate prognostic and predictive factors. At present, only a small number of such factors are used clinically. DNA microarrays have the potential to measure the expression of tens of thousands of genes simultaneously. Recent preliminary findings suggest that DNA microarray-based gene expression profiling can provide powerful and independent prognostic information in patients with newly diagnosed breast cancer. As well as providing prognostic information, emerging results suggest that DNA microarrays can also be used for predicting response or resistance to treatment, especially to neoadjuvant chemotherapy. Prior to clinical application, these preliminary findings must be validated using large-scale prospective studies. This article reviews these advances and also examines the role of DNA microarrays in reducing the number of patients who receive inappropriate chemotherapy. The most recent data supporting the integration of various publicly available data sets is also reviewed in detail.

Breast Neoplasms↗

Colorectal cancer prognosis: is it all mutation, mutation, mutation?

For the 500,000 new cases of colorectal cancer in the world each year, identification of patients with a worse prognosis and those who are more likely to respond to treatment is a challenge. There is an increasing body of evidence correlating genetic mutations with outcome in tumours derived from human colorectal cancer cohorts. K-ras, but not p53 or APC, mutations appear to be associated with poorer overall survival in colorectal cancer patients.

Aged↗

Tumor biologic factors and breast cancer prognosis among white, Hispanic, and black women in the United States.

BACKGROUND: In the United States, prognosis and survival after the diagnosis of breast cancer is poorer among black patients and, to a lesser extent, among Hispanic patients, compared with white patients. Patients who are black or Hispanic have been reported to present with higher stage or more advanced disease. Even after adjusting for stage, however, survival rates are lower for blacks but not for Hispanics. PURPOSE: Our purpose was to compare survival, age, tumor size, nodal status, estrogen-receptor (ER) and progesterone-receptor (PgR) status, histologic type, S-phase fraction, DNA ploidy status, HER-2/neu protein expression, and p53 protein status, along with systemic treatment, in a large group of white, black, and Hispanic U.S. women. METHODS: From 1970 to 1991, breast tumor specimens were submitted to The University of Texas Health Science Center from 31 contributing hospitals throughout the United States for ER and PgR assay. A total of 4885 white, 1016 black, and 777 Hispanic women were eligible for this study. Median follow-up was 57 months. RESULTS: Overall, white women were significantly more likely to be older and to have smaller tumors, have less lymph node involvement, have tumors with positive ER and PgR status, and have a lower S-phase fraction compared with Hispanic or black women. There were no clinically important differences in DNA ploidy, histologic type, HER-2/neu, and p53 expression among the three groups. Considering all stages, white women had the best overall survival (date of diagnosis to date of death) at 5 years--75% +/- 1% (means +/- SE), with a median survival of 166 months, but Hispanic women had an intermediate survival--70% +/- 2% (median survival, 156 months), and black women had the worst survival--65% +/- 2% (median survival, 117 months) (P < .0001). For node-negative patients, there was no significant difference in disease-free survival (date of diagnosis to date of first recurrence) or overall survival, although blacks tended to have a worse prognosis. For node-positive or locally advanced disease and for metastatic disease, blacks had significantly (P < .0001) worse disease-free and overall survival than did white or Hispanic women. Differences in the use of systemic therapy did not explain these outcomes. CONCLUSION: A number of biologic factors associated with poor prognosis are found with a significantly increased frequency in breast tumors from Hispanic and, particularly, from black women. Tumors with a more aggressive biology could lead to a higher stage at diagnosis and a poorer survival for the group as a whole.

Adult↗

Meta-analysis suggests association of L-myc EcoRI polymorphism with cancer prognosis.

The L-myc EcoRI polymorphism is a noncoding variation in the second intron of the L-myc gene, resulting in S and L alleles. Individuals carrying the S allele tend to have poor prognosis and increased risk of several tumor types, although controversial results have been reported. A meta-analysis of 36 studies on L-myc EcoRI genotyping, including 3563 patients with different types of cancer and 2953 controls, was performed. In lung cancer patients the S/S genotype was significantly associated with lymph node metastasis [odds ratio (OR), 2.8; 95% confidence interval (CI), 1.8-4.3], distant metastasis (OR, 4.7; 95% CI, 2.4-9.2), and stage (OR, 2.3; 95% CI, 1.2-4.4). No association was observed between the S/S genotype and cancer (OR, 1.1; 95% CI, 0.8-1.4). In patients with other cancers, the S/S genotype was significantly associated with tumor recurrence (OR, 2.8; 95% CI, 1.4-6.0), whereas no significant association was seen for the other prognostic parameters. When all types of cancer were examined together, the S/S genotype was associated with lymph node metastasis (OR, 2.3; 95% CI, 1.6-3.3), distant metastasis (OR, 2.9; 95% CI, 1.8-4.6), clinical stage (OR, 1.8; 95% CI, 1.2-2.9), and cancer risk (OR, 1.25; 95% CI, 1.07-1.45). The meta-analysis suggests that the L-myc EcoRI polymorphism is a marker of tumor prognosis in lung cancer and possibly in other types of cancer.

Alleles↗

Microsatellite instability and colorectal cancer prognosis.

PURPOSE: Many studies have evaluated the role of high levels of microsatellite instability (MSI) as a prognostic marker and predictor of the response to chemotherapy in colorectal cancer (CRC); however, the results are not conclusive. The aim of this study was to analyze the prognostic significance of high levels of MSI (MSI-H) in CRC patients in relation to fluorouracil-based chemotherapy. EXPERIMENTAL DESIGN: In three different institutions, 1,263 patients with CRC were tested for the presence of MSI, and CRC-specific survival was then analyzed in relation to MSI status, chemotherapy, and other clinical and pathologic variables. RESULTS: Two hundred and fifty-six tumors were MSI-H (20.3%): these were more frequently at a less advanced stage, right-sided, poorly differentiated, with mucinous phenotype, and expansive growth pattern than microsatellite stable carcinomas. Univariate and multivariate analyses of 5-year-specific survival revealed stage, tumor location, grade of differentiation, MSI, gender, and age as significant prognostic factors. The prognostic advantage of MSI tumors was particularly evident in stages II and III in which chemotherapy did not significantly affect the survival of MSI-H patients. Finally, we analyzed survival in MSI-H patients in relation to the presence of mismatch repair gene mutations. MSI-H patients with hereditary non-polyposis colorectal cancer showed a better prognosis as compared with sporadic MSI-H; however, in multivariate analysis, this difference disappeared. CONCLUSIONS: The type of genomic instability could influence the prognosis of CRC, in particular in stages II and III. Fluorouracil-based chemotherapy does not seem to improve survival among MSI-H patients. The survival benefit for patients with hereditary non-polyposis colorectal cancer is mainly determined by younger age and less advanced stage as compared with sporadic MSI-H counterpart.

Adaptor Proteins, Signal Transducing↗

Characterization and utilization of two novel anti-erbB-2 monoclonal antibodies in detection of soluble ErbB-2 for breast cancer prognosis.

We generated three anti-ErbB-2 monoclonal antibodies (mAbs) by using surface-epitope masking method (SEM method). They were characterized and shown to recognize the extracellular domain (ECD) of ErbB-2 specifically. In order to detect ErbB-2 in the sera of breast cancer patients, we used two of them: A18 and A21 to develop a sandwich enzyme-linked immunosorbent assay (ELISA). Sera from 10 of 57 patients (18%) and two of 142 controls (1.4%) had soluble ErbB-2 values higher than the cut-off level (30 ng/ml). The number of cancer patients with elevated sera ErbB-2 levels was significantly greater than that of the control group (P<0.005). Besides, three of the four cancer patients with metastasis (75%) had elevated serum ErbB-2 levels. We also purified ErbB-2 by A18-conjugated immunoaffinity chromatography and used it as the standard in the sandwich ELISA. Based on our preliminary clinical data, we came to the conclusion that both A18 and A21 could possibly be used in the prognosis of breast cancer.

3T3 Cells↗