Prognostic significance of p53 mutations in non-small cell lung cancer: a meta-analysis of 829 cases from eight published studies

The Complete Loss of p53 Expression Uniquely Predicts Worse Prognosis in Colorectal Cancer

p53 immunohistochemistry is considered an accurate surrogate marker reflecting the underlying TP53 mutation status and has utility in tumor diagnostics. In the present study, 269 primary CRCs were immunohistochemically evaluated for p53 expression to assess its utility in diagnostic pathology and prognostication. p53 expression was wild-type in 59 cases (23%), overexpressed in 143 cases (55%), completely lost in 50 cases (19%), and cytoplasmic in 10 cases (4%). p53 immunoreactivity was associated with tumor size (p = 0.0056), mucus production (p = 0.0015), and mismatch repair (MMR) system status (p < 0.0001). Furthermore, among CRCs with wild-type p53 expression, a significantly higher number of cases had decreased CDX2 than those with p53 overexpression (p = 0.012) or complete p53 loss (p = 0.043). In contrast, among CRCs with p53 overexpression, there were significantly fewer ALCAM-positive cases than p53 wild-type cases (p = 0.0045). However, no significant association was detected between p53 immunoreactivity and the “stem-like” immunophenotype defined by CDX2 downregulation and ALCAM-positivity. Multivariate Cox hazards regression analysis identified tubular-forming histology (hazard ratio [HR] = 0.17, p < 0.0001), younger age (HR = 0.52, p = 0.021), and female sex (HR = 0.55, p = 0.046) as potential favorable factors. The analysis also revealed complete p53 loss (HR = 2.16, p = 0.0087), incomplete resection (HR = 2.65, p = 0.0068), and peritoneal metastasis (HR = 5.32, p < 0.0001) as potential independent risk factors for patients with CRC. The sub-cohort survival analyses classified according to chemotherapy after surgery revealed that CRC patients with wild-type p53 expression tended to have better survival than those with overexpression or complete loss after chemotherapy. Thus, immunohistochemistry for p53 could be used for the prognostication and chemotherapy target selection of patients with CRC.

Immunocytochemistry on Sputum Samples Predicts Prognosis of Lung Cancer

Context

Despite sputum cytology being accepted as a simple and noninvasive diagnostic method for lung cancer, the clinical usefulness of sputum for evaluation of prognosis is yet to be explored. Validation of some of the markers in sputum for prognosis prediction will be highly useful for selective therapy.

Aims

This study was aimed to evaluate a reliable panel of immunocytochemical markers for their significance to predict survival.

Materials and Methods

We have analyzed the expression of p53, p16, galectin-3, and epidermal growth factor receptor (EGFR) proteins in sputum samples processed in a mucolytic agent/cellblock and compared the same with that of the corresponding tissue samples.

Results

Overexpression of p16 and EGFR was found to have a better survival benefit, whereas positive p53 and galectin-3 expressions had shorter period of survival. Expression patterns of all these four proteins were more or less similar in smears, cellblocks of sputum, and tissue samples except for slight changes in staining intensity which was not found to be statistically significant. No significant difference was found in the association of these proteins with survival pattern between sputum and tissue samples.

Conclusion

This is the first report of immunocytochemistry of a panel of markers on cells exfoliated in sputum samples which suggests that analysis of immunocytochemical markers in sputum samples can be attempted as a cost-effective and reliable predictor of prognosis and survival. Accumulation of mutated p53, overexpression of galectin-3, and lower expression of p16 and EGFR proteins were found to predict poor prognosis for lung cancer.

TP53 mutation is associated with a poor clinical outcome for non-small cell lung cancer: Evidence from a meta-analysis

A number of studies have examined the association between tumor protein 53 (TP53) mutations and the clinical outcome in patients with non-small-cell lung cancer (NSCLC), although these have yielded conflicting results. In the present study, electronic databases updated to September 2015 were searched to find relevant studies. A meta-analysis was performed on the eligible studies, which quantitatively evaluated the association between the TP53 mutations and the survival of patients with NSCLC. Subgroup and sensitivity analyses were performed. A total of 19 studies that involved a total of 6,084 patients with NSCLC were included. When the TP53 mutation group (n=1,406) was compared with the wild-type group (lacking TP53 mutations; n=1,965), the wild-type group was associated with a significantly higher overall survival rate [hazard ratio (HR), 1.26; 95% confidence interval (CI) 1.12–1.41, P<0.0001]. Significant benefits of overall survival in the wild-type group were found in the subgroup involving patients with NSCLC in the early stages, including the I/II phases (HR, 1.93, 95% CI, 1.17–3.19, P=0.01; heterogeneity, I²=0.0%, P=0.976) and patients with adenocarcinoma (HR, 3.06; 95% CI, 1.66–5.62, P<0.0001; heterogeneity: I²=0.0%, P=0.976). This meta-analysis has indicated that TP53 gene alteration may be an indicator of a poor prognosis in patients with NSCLC. Furthermore, the results also suggested that the role of TP53 mutations may differ according to different pathological types and clinical stages. The presence of these mutations may define a subset of patients with NSCLC appropriate for investigational therapeutic strategies.

Prognostic role of serum p53 antibodies in lung cancer

BACKGROUND

Mutations in the TP53 (Tumour Protein 53) gene can lead to expression of mutant p53 proteins that accumulate in cancer cells and can induce circulating p53 antibodies in cancer patients. Our aim was to evaluate the presence and prognostic role of these antibodies in lung cancer patients and to investigate whether they were related to p53 expression or TP53 mutations in tumour tissues.

METHODS

A total of 201 lung cancer patients were evaluated for p53 antibodies by ELISA (Enzyme-Linked Immunosorbent Assay) and control was obtained from 54 patients with non-malignant disorders; p53 expression was evaluated in 131 of the lung cancer patients by immunohistochemistry and TP53 mutations were then investigated in 53 tumours positively staining for p53 and in 12 tumours without p53 overexpression, whose DNA was available for direct sequencing.

RESULTS

Our results show that 20.4% of cancer patients have positive levels of p53 antibodies, while none of the controls resulted positive. High levels of p53 expression are detected in 57.3% of cases and a significant correlation between serum p53 antibodies and high levels of p53 expression in the corresponding tumours is observed. In non-small cell lung cancer, p53 antibodies are significantly associated with poorly differentiated tumours; furthermore, high levels of p53 expression significantly correlated with squamous cell carcinoma and tumours with highest grade. Survival time of non-small cell lung cancer patients low/negative for serum p53 antibodies was significantly longer compared to patients with positive levels (p = 0.049); in particular, patients with squamous cell carcinoma, but not adenocarcinoma, low/negative for these antibodies show a significant better survival compared to serum-positive patients (p = 0.044).

CONCLUSIONS

In our study, detection of serum p53 antibodies in non-small cell lung cancer patients has been shown to be useful in identifying subsets of patients with poor prognosis. A significant correlation between the presence of serum p53 antibodies in lung cancer patients and p53 overexpression in the corresponding tumours was also observed. We did not find a significant correlation between levels of serum p53 antibodies and TP53 mutations in the corresponding tumours.

Prognostic value of microRNA expression in operable non-small cell lung cancer patients

Background:

About 50% of non-small cell lung cancer (NSCLC) patients develop distant metastases following pulmonary resection. Currently, there are no reliable factors allowing for individual selection of high-risk patients for adjuvant systemic therapies.

Methods:

We assessed by quantitative reverse transcription PCR microRNA (miRNA) expression in 273 stage I–IIIA NSCLC samples. Expression of 677 miRNAs was evaluated in fresh-frozen tumour samples in the training cohort of 50 squamous cell carcinoma (SCC) patients who underwent curative surgery. Of those, 20 patients developed distant metastases, and 30 were free of recurrence for >4 years. In the second step, miRNAs with highest predictive value for distant relapse were re-evaluated in formalin-fixed paraffin-embedded material in an independent group of 134 stage I–IIIA SCC patients. Additionally, the same miRNAs were investigated in 89 lung adenocarcinoma (AC) patients and in normal lung parenchyma (NLP).

Results:

In the training cohort of SCC, six miRNAs were differently expressed in the non-recurrent vs recurrent groups and correlated with distant recurrence-free survival, however none reached the level of significance after correction for multiple testing. Of these six miRNAs, miR-662, -192 and -192* were confirmed as prognostic in the independent SCC cohort. Expression of miR-128, -10b, -502-3p and -192 differed between SCC and AC, and miR-128 and -192 – between NLP and NSCLC.

Conclusions:

We identified three new miRNAs predictive of distant relapse in operable SCC. Future miRNA studies should account for differences between NSCLC subtypes.

Prognostic factors in stage III non-small cell lung cancer: a review of conventional, metabolic and new biological variables

Lung cancer is one of the most frequently occurring neoplasms and usually has a poor prognosis because most of the patients present with advanced or metastatic disease at the time of diagnosis. Numerous prognostic factors (PFs) have been studied, but the two most prominent, having both prognostic and operational values, are disease stage and performance status. Even if the literature on PFs in lung cancer is impressive, the number of publications specifically dealing with PFs in stage III non-small cell lung cancer (NSCLC) is limited. We reviewed the literature on this topic and separated the available information into three groups: conventional PFs, metabolic criteria (standardized uptake value [SUV] measured on(18)F-FDG-PET) and new biomarkers. Performance status and the distinction between stage IIIA and IIIB confirmed their prognostic value in stage III NSCLC. Other conventional PFs have been suggested such as age, weight loss, response to treatment and some characteristics describing the locoregional extension of the tumour. There is a place for the SUV as a PF for survival in early NSCLC, but its role in stage III NSCLC has to be further assessed. Some new biomarkers involved in cell cycle regulation or in apoptosis have been shown to have potential value. Their role needs to be confirmed in large prospective studies including conventional PFs to determine their independent value as a PF in stage III NSCLC. In conclusion, few PFs have been well evaluated in stage III NSCLC. New studies, taking into account the modifications derived from the 7th international staging system of the UICC, have to be performed.

p53 status and its prognostic role in extrahepatic bile duct cancer: a meta-analysis of published studies

The dysfunction of p53 is the most common genetic alteration in human cancer. A variety of studies have investigated the clinicopathologic correlation of p53 and its impact on patient survival in different types of cancer. For extrahepatic bile duct cancer (EBDC), however, the results were limited and conflicting. In this study, we performed an investigation to confirm whether there was a correlation between p53 status and some routine parameters. To further observe the impact of p53 on the survival of EBDC patients, a meta-analysis based on published studies was conducted. Candidate studies were searched from PubMed, EMBASE, and ISI Web of Science. Our results demonstrated that there were significant correlations between p53 expression and some clinicopathological parameters. Furthermore, the pooled results of the meta-analysis showed that the combined hazard ratio (HR) estimate for overall survival (OS) was 1.53 (95% CI, 1.10-2.14) and 1.23 (95% CI, 0.93-1.75) in univariate and multivariate analysis, respectively. In conclusion, the high level of p53 appears to be an effective prognostic factor to OS of EBDC patients. However, some limitations unavoidable in this meta-analysis and problems of previous p53 studies in EBDC mean that further studies are necessary before significant conclusions can be made.

Broad spectrum and potent antitumor activities of YM155, a novel small-molecule survivin suppressant, in a wide variety of human cancer cell lines and xenograft models

Antitumor activities of YM155, a novel small-molecule survivin suppressant, were investigated in a wide variety of human cancer cell lines and xenograft models. YM155 inhibited the growth of 119 human cancer cell lines, with the greatest activity in lines derived from non-Hodgkin's lymphoma, hormone-refractory prostate cancer, ovarian cancer, sarcoma, non-small-cell lung cancer, breast cancer, leukemia and melanoma. The mean log growth inhibition of 50% (GI(50) ) value was 15 nM. The mean GI(50) values of YM155 were 11 nM for p53 mut/null cell lines and 16 nM for p53 WT cell lines, suggesting that YM155 inhibits the growth of human tumor cell lines regardless of their p53 status. In non-small-cell lung cancer (Calu 6, NCI-H358), melanoma (A375), breast cancer (MDA-MB-231) and bladder cancer (UM-UC-3) xenograft models, 3- or 7-day continuous infusions of YM155 (1-10 mg/kg) demonstrated significant antitumor activity without showing significant bodyweight loss. Tumor regressions induced by YM155 were associated with reduced intratumoral survivin expression levels, increased apoptosis and decreased mitotic indices. The broad and potent antitumor activity presented in the present study is indicative of the therapeutic potential of YM155 in the clinical setting.

Prognostic implications of circulating anti-p53 antibodies in lung cancer--a review

Many independent prognostic markers have been identified for predicting survival and helping in the management of lung cancer cases. p53 protein overexpression and mutation have been the topic of numerous such publications. However, little is known about the role of anti-p53 antibodies as a prognostic marker in lung cancer. We searched the MEDLINE database and the bibliographies of the retrieved manuscripts and reviews. The retrieved studies are grouped according to the cohort studied. Out of 179 citations retrieved, 17 met our criteria. Seven studies used only non-small-cell lung cancer; four studies used only small-cell lung cancer; and six studies used the mixed cohort of both types of lung cancer. The studies varied in the concept design, cohort studied and the methodology. The prognostic role of anti-p53 antibodies in lung cancer remains contradictory and as some studies show an association with poor prognosis, others show a favourable association and still others showing no association what so ever. The frequency of detection of anti-p53 antibody is very low, highly specific with result being independent of the cohort studied. Adequate clinical trials, with optimized cohort, antigen and assay validation, are needed to address patients and physician's concerns regarding these associations.

The impact of additional prognostic factors on survival and their relationship with the anatomical extent of disease expressed by the 6th Edition of the TNM Classification of Malignant Tumors and the proposals for the 7th Edition

PURPOSE

To identify, in the international staging database of the International Association for the Study of Lung Cancer, those prognostic factors that were significant and independent of clinical stage.

MATERIAL AND METHODS

From the data submitted to the staging data base concerning 100,869 patients, cases were selected for which all the following variables were available: clinical stage, age, gender, performance status (PS), and histologic cell types. For non-small cell lung cancer (NSCLC), 12,428 patients were assessable, and for SCLC, 6609 patients were available for this study. Methods used were Cox regression analyses and recursive partitioning and amalgamation analyses.

RESULTS

PS appeared to be a very important prognostic factor for survival in addition to clinical stage. Age and gender were other independent significant variables; For NSCLC and SCLC separately, recursive partitioning and amalgamation allowed the identification of four groups of patients with differing prognoses. In advanced NSCLC (stage IIIB / IV), some routine laboratory tests (mainly white blood cells and hypercalcaemia) were also found to be significant prognostic variables. In SCLC, albumin was an independent biologic prognostic factor.

CONCLUSION

In addition to stage, PS and, to a lesser extent, age and gender seem to be important prognostic factors for survival in lung cancer. Although this data was obtained from the largest series ever used for such an analysis in lung cancer, these prognostic factors and models require confirmation in the prospective study already planned by the International Association for the Study of Lung Cancer Lung Cancer Staging Project.

Quality of reporting of cancer prognostic marker studies: association with reported prognostic effect

BACKGROUND

Issues of reported study quality have not been addressed empirically with large-scale data in the cancer prognostic literature.

METHODS

Eight quality measures pertaining to study design and assay methods (i.e., blinding, prospective versus retrospective design, power calculations, outcomes' definitions, time of enrollment, reporting of variables, assay description, and assay reference) were evaluated in cancer prognostic marker studies included in meta-analyses identified in Medline and EMBASE. To be eligible, meta-analyses had to include at least six studies and to examine binary outcomes. We estimated the ratios of relative risks, which compared the overall prognostic effects (summary relative risks) between poor-quality and good-quality studies for each quality item. Between-study heterogeneity was tested with the Q statistic (statistically significant at P<.10). All statistical tests were two-sided.

RESULTS

We identified 20 meta-analyses that included 331 cancer prognostic marker studies published between 1987 and 2005. Only three (0.9%) of the 331 studies presented power calculations, 129 (39.0%) studies stated that analyses were blinded, and 73 (21.5%) stated that they were prospective. Time of enrollment was defined in 232 (70.0%), 234 (70.7%) gave lists of candidate variables, and 254 (76.7%) defined outcomes. The assay used was described in 317 (95.8%), but only 177 (53.5%) provided the assay reference. Estimates of prognostic effects from poor-quality studies varied considerably and could be larger or smaller than summary estimates derived from meta-analyses. Summary ratios of relative risks of poor- versus good-quality studies for the seven quality measures ranged from 0.95 to but 1.26, but none was statistically significantly. There was statistically significant heterogeneity (P<.10) between the ratios of relative risk estimates across meta-analyses for blinding, defining endpoints, and stating variables and assay references.

CONCLUSIONS

Among cancer prognostic marker studies, reporting quality of design and assay information often appears suboptimal, indicating that this literature may be largely unreliable. Given the potential clinical importance of prognostic marker information, improved design and reporting of these studies are warranted.

Selective reporting biases in cancer prognostic factor studies

BACKGROUND

Nonreported and selectively reported information and the use of different definitions may introduce biases in the literature of prognostic factors. We probed these biases in a meta-analysis of a prognostic factor for head and neck squamous cell cancer (HNSCC) mortality that has drawn wide attention--the status of the tumor suppressor protein TP53.

METHODS

We compared results of meta-analyses that included published data plus unpublished data retrieved from investigators; published data; and only published data indexed with "survival" or "mortality" in MEDLINE/EMBASE, with or without standardized definitions. We also evaluated whether previously published meta-analyses on mortality predictors for various malignancies addressed issues of retrieval and standardized information. All statistical tests were two-sided.

RESULTS

For the 18 studies with 1364 patients that included published and indexed data, we obtained a highly statistically significant association between TP53 status and mortality. When we used the definitions preferred by each publication, the association was stronger (risk ratio [RR] = 1.38, 95% confidence interval [CI] = 1.13 to 1.67; P = .001) than when we standardized definitions (RR = 1.27, 95% CI = 1.06 to 1.53; P = .011). The addition of 13 studies with 1028 subjects that included published but not indexed data reduced the observed association (RR = 1.23, 95% CI = 1.03 to 1.47; P = .02). Finally, when we obtained data from investigators (11 studies with 996 patients) and analyzed it with all other data, statistical significance was lost (RR = 1.16, 95% CI = 0.99 to 1.35; P = .06). Among 18 published meta-analyses of 37 cancer prognostic factors, 13 (72%) did not use standardized definitions and 16 (89%) did not retrieve additional information.

CONCLUSIONS

Selective reporting may spuriously inflate the importance of postulated prognostic factors for various malignancies. We recommend that meta-analyses thereof should maximize retrieval of information and standardize definitions.

Towards fast and inexpensive molecular diagnostic: the case of TP53

BACKGROUND

Much research suggests that TP53 mutations have prognostic importance and sometimes are a significant factor in clinical oncology. A considerable effort has been made to develop fast and inexpensive methods for TP53 mutations detection.

METHODS

On the basis of describing the role of TP53 as tumor suppressor gene and TP53 mutation spectrum, the authors discuss conventional methods and new technologies for TP53 mutations detection. This discussion is supported by more recent publications in the field of both molecular genetics and analysis technologies.

RESULTS

Biosensors and gene chips are of considerable recent interest, due to their tremendous promise for obtaining sequence-specific information in a faster, simpler and cheaper manner compared to traditional methods.

CONCLUSIONS

New methods such as biosensors and gene chips appear promising as analytical methods of detecting mutations.

Prognostic factors

The best predictive models of today can predict no more than 50% of the natural variability of the disease, despite the sophisticated mathematic analyses and the dozens of variables assessed. Clearly, a universe of still unknown prognostic factors remains to be discovered. Analogous to infinity being immeasurable, the fate of the individual patient will never be calculated mathematically. As the discovery of new prognostic factors continues, however, the prediction of the outcome of patients becomes more reliable. Although some prognostic factors (eg, tumor neoangiogenesis and quality of life) are already supported by a large body of evidence, recent research has introduced new groups of prognostic factors (eg, molecular genetic markers and the subclinical activation of coagulation fibrinolysis). Other intriguing factors (eg, a state of mental depression) might also be recognized as important in the near future. A new small portion of the universe has been explored.

Molecular classification and molecular genetics of human lung cancers

Recent advances in the molecular classification of lung carcinomas and the identification of causative genetic alterations will likely lead to improvements in the diagnosis and treatment of patients with lung cancer. It is now possible to identify gene expression profiles that associate with patient outcome in lung carcinomas, in particular adenocarcinoma. Furthermore, patient survival has been shown to correlate with lung cancer oligonucleotide microarray expression profiles. Large-scale microarray technology may allow for the identification of useful biomarkers for early cancer detection. Oligonucleotide microarray data can be optimized by relating them to protein expression levels in tissue microarrays, by annotation with mutational data, and with results of testing for post-translational modification of cellular proteins. These data may be useful in tailoring chemotherapeutic protocols to individual tumors and identifying new targets for therapeutic intervention.

Clinical value of p53, c-erbB-2, CEA and CA125 regarding relapse, metastasis and death in resectable non-small cell lung cancer

The prognostic value of p53 and c-erbB-2 immunostaining and preoperative serum levels of CEA and CA125 was investigated in a prospective multicentric study including 465 consecutive non-small cell lung cancer (NSCLC) patients with resectable tumors. Four end-points were used: lung cancer death, first relapse (either locoregional or metastasis), loco-regional recurrence and metastasis development. Standard statistical survival methods (Kaplan-Meier and Cox regression) were used. The specificity of the prognostic effect across different types of tumors was also explored, as had been planned in advance. Our results showed, once again, that pathological T and N classifications continue to be the strongest predictors regarding either relapse or mortality. Three of the studied markers seemed to add further useful information, however, but in a more specific context. For example, increased CEA concentration defined a higher risk population among adenocarcinomas but not among people with squamous tumors; and p53 overexpression implied a worse prognosis mainly in patients with well differentiated tumors. The analysis of type of relapse proved to be very informative. Thus, CA125 level was associated with a worse prognosis mainly related with metastasis development. Another interesting result was the influence of smoking, which showed a clear dose-response relationship with the probability of metastasis. For future studies, we recommend the inclusion of different endpoints, namely considering the relationship of markers with the type of relapse involved in lung-cancer recurrence. They can add useful information regarding the complex nature of prognosis.

Heterogeneity of immunostaining for tumour markers in non-small cell lung carcinoma

Lung carcinoma is a leading cause of death. However, there are few indicators that can aid in prediction and prognosis. Many tumour markers are available, but their reliability is questionable. For example, Ki-67 expression has been associated with increased as well as decreased survival or with no clinical significance. The varying results have been attributed to the methodology, relative intensity of staining, variety of marking and statistical methods. To determine whether differential expression of markers within tumours may be a contributory factor to this lack of agreement, we used two marking methods to evaluate the level of expression of Ki-67, p53 and bcl-2, in addition to the apoptotic index, in serial sections of non-small cell carcinoma. All stains exhibited a degree of heterogeneity. This small study highlights the importance of standardisation of marking methods and interpretation of results if tumour markers are to be used as predictive or prognostic factors.

Association of genetic defects in primary resected lung adenocarcinoma revealed by targeted allelic imbalance analysis

Genetic mechanisms underlying origin and progression of lung cancer are still poorly understood, despite the numerous studies which identified many genomic alterations. Using polymorphic microsatellites, allelic imbalances have been frequently found at loci such as 3p, 5q, 8p, 9p and 9q, 11p and 11q, and 17q without either histologic specificity or prognosis value. We report allelotyping results in 54 cases (50 smokers) of primary lung adenocarcinoma (50 men/4 women) resected at one institution. To perform this study, a panel of seven microsatellites were chosen upon their likely involvement in lung cancer or in the cell cycle. A highly sensitive method was designed using fluorescent PCR coupled with quantification on an automated DNA sequencer. We report that at least one allelic imbalance was observed in 87% of adenocarcinoma. Alterations at 17q23 tended to be associated with early stage tumors (I and II) and longer survivals (P = 0.05 and P = 0.06, respectively). Furthermore, concomitant alterations were found at 9p21 and at either 9q34 or 3p24 loci (P = 0.003 and P = 0.004, respectively). The presence of genes coding for TGF-beta receptors I and II at these loci suggests that the TGF-beta/CDK inhibitor P16/P15 signaling pathway might be involved in lung adenocarcinoma development.

Prognostic factors in non-small cell lung cancer: a decade of progress

STUDY OBJECTIVES

To provide a systematic overview of the literature investigating patient and tumor factors that are predictive of survival for patients with non-small cell lung cancer (NSCLC), and to analyze patterns in the design of these studies in order to highlight problematic aspects of their design and to advocate for appropriate directions of future studies.

DESIGN

A systematic search of the MEDLINE database and a synthesis of the identified literature.

MEASUREMENTS AND RESULTS

The database search (January 1990 to July 2001) was carried out combining the MeSH terms prognosis and carcinoma, nonsmall cell lung. Eight hundred eighty-seven articles met the search criteria. These studies identified 169 prognostic factors relating either to the tumor or the host. One hundred seventy-six studies reported multivariate analyses. Concerning 153 studies reporting a multivariate analysis of prognostic factors in patients with early-stage NSCLC, the median number of patients enrolled per study was 120 (range, 31 to 1,281 patients). The median number of factors reported to be significant in univariate analyses was 4 (range, 2 to 14 factors). The median number of factors reported to be significant in multivariate analyses per study was 2 (range, 0 to 6 factors). The median number of studies examining each prognostic factor was 1 (range, 1 to 105 studies). Only 6% of studies addressed clinical outcomes other than patient survival.

CONCLUSIONS

While the breadth of prognostic factors studied in the literature is extensive, the scope of factors evaluated in individual studies is inappropriately narrow. Individual studies are typically statistically underpowered and are remarkably heterogeneous with regard to their conclusions. Larger studies with clinically relevant modeling are required to address the usefulness of newly available prognostic factors in defining the management of patients with NSCLC.

Molecular biology of lung cancer: clinical implications

This review summarizes the rapidly expanding knowledge of the molecular pathogenesis of lung cancer. It is clear that respiratory epithelial cells require many genetic alterations to become invasive and metastatic cancer. Much more is to be learned, but with modern technology. Clinicians can detect "field cancerized" regions and preneoplastic and malignant cells, therefore offering the opportunity to intercede with biomarker-monitored prevention and early detection efforts. Such molecular screening and detection efforts will likely be coupled to advances in low-dose computed tomographic imaging, positron emission tomography scans, and other imaging modalities. Although this molecular marker approach has great potential, there is not yet a molecular marker validated in large prospective trials that has major independent predictive prognostic value. There is an urgent need for large, adequately powered, carefully designed prospective studies to identify clinically useful new biomarkers. Finally, new therapeutic strategies with genetic manipulation, small molecules, antibodies, vaccines, and, particularly, new drugs targeting specific biologic pathways found to be abnormal in lung provide for future optimism. Researchers need to define their individual value, especially when integrated with standard therapies.

Immune function, telomerase, and angiogenesis in patients with primary, operable nonsmall cell lung carcinoma: tumor size and lymph node status remain the most important prognostic features

BACKGROUND

Lung carcinoma usually is advanced at the time of presentation and frequently shows metastatic spread. In recent times, prognostic factors such as c-erbB-2 in patients with breast carcinoma have provided useful information and beneficial therapeutic targets. The objective of this study was to evaluate angiogenesis, immune function, and telomerase expression in patients with nonsmall cell lung carcinoma (NSCLC) to determine their prognostic significance.

METHODS

Immunohistochemistry was used to evaluate the expression of human telomerase reverse transcriptase (hTERT; n = 115 patients), interleukin-2r (IL-2r; n = 40 patients), microvessel density (MVD; n = 81 patients), and vascular endothelial growth factor (VEGF; n = 61 patients). Three-year survival follow-up information was available for most patients, and a comprehensive review of clinicopathologic features was carried out.

RESULTS

Fifty percent of tumors showed nuclear staining for hTERT, 55% of tumors showed some degree of lymphocyte IL-2r expression, 33% of tumors were recorded with an MVD that was higher than average, and VEGF staining was detected in 85% of tumors. None of the parameters measured had an impact on survival. hTERT expression was correlated with lymph node status. Lymph node status and tumor size were identified as independent prognostic factors.

CONCLUSIONS

This study failed to identify a marker of prognosis for patients with NSCLC other than tumor size and lymph node status in this population. Telomerase expression was associated with metastases, raising the possibility that this enzyme is involved in the metastatic process. Tumor cell VEGF expression was identified frequently: This growth factor may have potential as a target for antiangiogenic therapy. Lung carcinoma typically is the result of large numbers of mutations. Further understanding of the biologic implications of these mutations will lead to the development of effective prognostic markers and treatments for patients with NSCLC.

Correlation of p53 oncoprotein expression with chemotherapy response in small cell lung carcinomas

p53 oncoprotein expression was investigated in small cell lung carcinomas (SCLC) using immunohistochemical staining with antibodies against p53. A total of 50 pre-treatment biopsies were examined. We analyzed the relationship between p53 expression and these patients' relevant clinical characteristics, response to chemotherapy, time to progression, and overall survival. We found p53 overexpression in 46% of the samples but no association with clinical data or overall survival. Our results show a strong correlation of p53 staining with chemotherapy response. Multivariate analysis selected p53 as an independent predictive factor of chemotherapy response.