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PubMed1992

[Prognostic factors in breast cancer].

Among the various factors reported as having significant prognostic value in primary breast cancers, the author discusses the value of well established "classical" prognostic factors used routinely and "new" prognostic factors developed over recent years as a result of progress in cell and molecular biology. The presence of axillary lymph node metastases remains the most important prognostic factor of recurrence, justifying post-surgical adjuvant therapy. However, in patients with negative axillary nodes (N-), the size of the tumour, Scarff-Bloom-Richardson (SBR and MSBR) histological grade, certain particular histological types (carcinoma in situ and tubular, colloid or pure papillary cancer) and hormone receptors (ER and PR) appear to be well established prognostic factors allowing the identification, within this group of N- patients who generally have a good prognosis, those patients with a low risk of recurrence and therefore not requiring adjuvant therapy. In contrast, the proliferative activity (ploidy and S phase, Thymidine Labeling Index, antibody Ki67), cathepsin D, thymidine kinase, EGF receptors, several genes including oncogene HER-2/neu, are recently developed prognostic factors whose significance needs to be confirmed by further studies.

Breast Neoplasms↗

PubMed1992

[Prognostic effect of beta 2-microglobulin in multiple myeloma].

BACKGROUND: The aim of the present study was to compare the prognostic influence of beta 2-microglobulin (B2M) corrected according to renal function versus the uncorrected form and relate these values with other characteristics of the disease in a series of patients with multiple myeloma (MM). METHODS: The serum levels of B2M were determined by the radioimmunoassay method (RIA) in 107 patients with newly diagnosed MM and the prognostic influence of B2M was statistically evaluated with univariant and multivariant analysis. RESULTS: The mean value of B2M obtained in patients with MM was 7.8 +/- 8.0 micrograms/ml, with a median of 5 micrograms/ml. Ninety percent of the patients studied presented serum values of B2M higher than the normal limit. The value of B2M corresponding to the median of the series (5 micrograms/ml) separated two groups of patients with different survival (48 vs 19 months) (p = 0.0001). Similarly, the most discriminative value of corrected B2M in agreement with creatinine (2.5 micrograms/ml) permitted the differentiation of two groups of patients although the differences in survival were less significant (36 vs 26 months, p = 0.03) demonstrating its lesser influence as a prognostic factor with respect to the uncorrected B2M. In contrast, a significant association was observed between high values of B2M and Bence Jones myeloma, clinical stage III, anemia, renal failure and intense involvement of the general state. Multivariant analysis demonstrated that B2M plays a greater prognostic role when used as a discrete rather than a continuous variable and that together with the degree of involvement of the general state, serum albumin and the proportion of plasma cells in the bone marrow, they make up the best set of variables for the prediction of prognosis in patients with MM. CONCLUSIONS: Beta 2-microglobulin is one of the most important independent prognostic factors in multiple myeloma with its prognostic value being greatest when used uncorrected according to the values of creatinine.

Bence Jones Protein↗

PubMed1979

Short-term prognostic index in acute myocardial infarction. Multivariate analysis by Cox model.

A new multivariate stepwise linear regression analysis (Cox's model) with survival time as prognostic endpoint was utilized in 281 patients with acute myocardial infarction. From 18 prognostic factors occurring during the first 5 days in the Coronary Care Unit a new prognostic index was calculated for the chance of survival in the first 36 days after admission. The significant prognostic variables were heart failure, cardiogenic shock, atrioventricular block and age. The total group of patients was classified in 6 subgroups with different mean indices and prognosis. There were 2 large groups of patients with relative bad and good prognosis (with and without heart failure). Over half of the patients had no prognostic variables. There was a trend of overestimating the expected deaths. A definite cardiac cause of death was shown by 23 patients (82%). This prognostic index based on the 4 variables can for the individual patient predict the chance of survival, which can be the basis of an individualized duration of hospital stay.

Age Factors↗

PubMed2026

Exploration and experimental verification of triaptosis-related prognostic genes and cells in gastric cancer.

BACKGROUND: Triaptosis is a recently characterized form of programmed cell death with unclear implications in cancer. This study aimed to investigate the prognostic significance and biological relevance of triaptosis in gastric cancer (GC). METHODS: Transcriptomic and clinical data from TCGA-STAD and GSE62254, and single-cell RNA sequencing data from GSE183904 were analyzed. Triaptosis-related gene (TRG) scores were calculated using single-sample gene set enrichment analysis. Differentially expressed genes identified in TRG-score and GC-versus-normal comparisons underwent functional enrichment, Cox regression, and least absolute shrinkage and selection operator regression to develop an externally validated signature. Immune profiles, pathway activity, somatic mutations, tumor mutational burden (TMB), predicted drug sensitivity, and clinical features were compared by risk group. Single-cell analyses assessed TRG activity, prognostic gene expression, cell-cell communication, and pseudotime. Reverse transcription-quantitative PCR and Western blotting assessed mRNA expression and protein levels, respectively. RESULTS: A TRG-based prognostic model comprising ASPN, GRB14, and VTN was developed and externally validated, effectively distinguishing patients into two distinct risk groups with notably different survival outcomes. mRNA expression of all three genes and their protein levels were significantly higher in SGC-7901 cells than in GES-1 cells. High-risk patients had higher stromal scores and distinct immune profiles; 15 immune cell types differed between groups. Single-cell analysis revealed fibroblasts and pericytes among high-TRG-active cell types. Prognostic genes were significantly overexpressed in fibroblasts, which also showed high TRG activity. Fibroblasts demonstrated enhanced communication with pericytes, whereas tumor-derived fibroblasts showed weaker communication with macrophages, indicating immune microenvironment remodeling. CONCLUSION: The three-gene prognostic signature predicted GC prognosis and was associated with distinct immune and genomic features, suggesting potential value for risk stratification and personalized treatment.

Humans↗

PubMed2026

Prognostic role of thymidine kinase 1 activity in hormone receptor positive metastatic breast cancer. A systematic review and meta-analysis.

INTRODUCTION: Circulating thymidine kinase 1 activity (TKa) is a potential prognostic biomarker in patients with hormone receptor-positive (HR+) metastatic breast cancer (MBC); however, results are heterogeneous. In this study we aimed to summarize the current evidence on the prognostic role of circulating TKa in women with HR+ MBC. METHODS: We conducted a systematic review of PubMed, Embase, and Cochrane CENTRAL databases and abstracts from main international oncology meetings. Phase II-IV clinical trials and prospective observational studies in patients with MBC assessing circulating TK1 levels or TKa and reporting hazard ratios (HRs) for progression-free survival (PFS) and/or overall survival (OS) were included. HRs were pooled using random-effects models (restricted maximum likelihood with Hartung-Knapp adjustment), with heterogeneity quantified by I2 and prediction intervals. The primary study outcome was the association of baseline and on-treatment TKa with PFS and OS. Secondary analyses aimed at exploring the source of heterogeneity. RESULTS: Eighteen studies, reporting data from nearly 3000 women, were included in the systematic review and 15 studies were meta-analyzed. Patients with HR+ MBC and high baseline TKa showed a significantly higher risk of progression (PFS: HR 1.90; 95% CI 1.57-2.30; p < 0.001) and death (OS: HR 2.48; 95% CI 1.94-3.17; p < 0.001) than those with low TKa. TKa at 2 and 4 weeks on-treatment was also prognostic (2 weeks, PFS: HR 2.76; 95% CI 2.34-3.26; p < 0.001; 4 weeks, HR 2.26; 95% CI 1.93-2.66; p < 0.001). Similar pooled effects were obtained when accounting for different cut-offs, TKa assessment, and sample-type. CONCLUSION: Pre-treatment high TKa is an adverse prognostic factor in women with HR+ MBC. High on-treatment TKa is also associated with worse outcome, potentially serving as an early signal of treatment resistance. We provide a comprehensive summary of the currently available evidence on the prognostic value of circulating TKa.

Breast cancer↗

PubMed2026

Validation of the lung immune prognostic index in extensive-stage small cell lung cancer: Post hoc analysis of the caspian and IMpower133 phase 3 trials.

BACKGROUND: The Lung Immune Prognostic Index (LIPI) is an inflammation-based biomarker associated with outcomes to immunotherapy across several tumor types. Its prognostic value in extensive-stage small-cell lung cancer (ES-SCLC), however, remains insufficiently validated. We aimed to validate the prognostic impact of LIPI in ES-SCLC using data from two phase III trials. METHODS: Patients enrolled in the CASPIAN (NCT03043872) and IMpower133 (NCT02763579) trials were included. LIPI groups were defined as good (dNLR<3 and LDH<ULN), intermediate (dNLR≥3 or LDH≥ULN) and poor (dNLR≥3 and LDH≥ULN). Overall survival (OS) and progression-free survival (PFS) were assessed across LIPI categories and treatment arms. RESULTS: LIPI was available for 1140 patients (Good: 34%, Intermediate: 49%, Poor: 17%), including 708 treated with chemotherapy-immunotherapy and 432 with chemotherapy alone. Poor LIPI was associated with unfavorable characteristics, including lower albumin levels and higher rate of liver metastases. Median OS was 14.6 months (95%CI: 12.4-15.9) for LIPI Good, 10.9 (10.1-11.5) for Intermediate, and 8.4 (7.1-9.3) for Poor (p < 0.0001). In multivariate models adjusted on gender, age, ECOG, treatment arm and metastatic sites, LIPI remained an independent prognostic factor for OS (HR Poor vs. Good: 1.76, 95%CI: 1.45-2.15, p < 0.001) and PFS (HR: 1.59, 95%CI: 1.33-1.90, p < 0.001). Although patients with poor LIPI derived limited benefit from immunotherapy, no significant treatment-LIPI interaction was observed. CONCLUSION: This large post hoc analysis confirms LIPI as a robust and clinically applicable prognostic biomarker in ES-SCLC. Patients with poor LIPI have substantially worse outcomes and limited benefit from immunotherapy, highlighting the need for novel therapeutic strategies in this subgroup.

Humans↗

PubMed2026

Discovery and validation of a prognostic SPP1/PLAU signature in HPV-negative oropharyngeal squamous cell carcinoma.

BACKGROUND: This study aimed to identify and validate robust prognostic biomarkers for oropharyngeal squamous cell carcinoma (OPSCC), with a specific focus on the high-risk HPV-negative subtype. METHODS: Integrated bioinformatics analysis was performed on transcriptomic data from four GEO datasets (n = 418 samples). Differentially expressed genes (DEGs) were identified, and a protein-protein interaction (PPI) network was constructed for the most dysregulated genes. Key modules were analyzed via survival analysis and multivariate Cox regression. The top candidate genes were validated at the protein level using immunohistochemistry (IHC) in an independent cohort of 304 OPSCC patients. RESULTS: A 33-gene module related to extracellular matrix organization showed significant prognostic association. It stratified patients into high- and low-risk groups with markedly different overall survival (HR = 2.71, p < 0.001). From this module, SPP1 and PLAU were identified as independent prognostic factors through multi-step screening. Both genes were significantly overexpressed in tumors (approximately 20-fold and 10-fold, respectively, p < 0.001), with high expression strongly correlated with advanced tumor stage (p < 0.01) and, notably, the HPV-negative subtype (p < 0.001). In survival analysis, high expression of either SPP1 or PLAU was associated with poorer overall survival (SPP1: p < 0.001; PLAU: p < 0.001) and progression-free survival (p < 0.001). IHC validation confirmed high protein expression in 69.7% (SPP1) and 54.8% (PLAU) of cancer tissues. A prognostic nomogram integrating the SPP1/PLAU signature with clinical variables was constructed with strong predictive accuracy (C-index = 0.75). CONCLUSION: The SPP1/PLAU dual-gene signature is a robust and independent prognostic biomarker for OPSCC, with particular clinical utility for stratifying high-risk HPV-negative patients.

Humans↗

PubMed2025

An anti-androgen resistance-related gene signature acts as a prognostic marker and increases enzalutamide efficacy via PLK1 inhibition in prostate cancer.

BACKGROUND: Anti-androgen resistance remains a major clinical challenge in the treatment of prostate cancer (PCa), leading to disease progression and treatment failure. Despite extensive research on resistance mechanisms, a reliable prognostic model for predicting patient outcomes and guiding therapeutic strategies is still lacking. This study aimed to develop a novel gene signature related to anti-androgen resistance and evaluate its prognostic and therapeutic implications. METHODS: Anti-androgen resistance-related differentially expressed genes (ARRDEGs) were identified through transcriptomic analysis of enzalutamide- and dual enzalutamide abiraterone-resistant PCa cell lines from the GEO database. Functional enrichment analysis was performed to determine the biological roles of these genes. A prognostic gene signature was developed using univariate Cox regression, LASSO, and multivariate Cox regression models. The model was validated in independent PCa cohorts from The Cancer Genome Atlas (TCGA). Additionally, we assessed the correlation between the signature, immune infiltration, immune checkpoint expression, and drug sensitivity. The efficacy of PLK1 inhibition combined with enzalutamide was further explored using in vitro and in vivo experiments. RESULTS: We identified 304 ARRDEGs, from which three key genes (LMNB1, SSPO, and PLK1) were selected to construct a prognostic signature. This gene signature effectively stratified PCa patients into high- and low-risk groups, with the high-risk group exhibiting shorter recurrence-free survival and distinct immune characteristics. High-risk patients demonstrated elevated immune checkpoint expression (B7H3, CTLA-4, B7-1, and TIGIT), increased M2 macrophage infiltration, and enhanced sensitivity to chemotherapy and targeted therapy. Mechanistically, PLK1 inhibition potentiated the antitumor effect of enzalutamide by downregulating SLC7A11 and inducing ferroptosis, providing a potential therapeutic strategy to overcome anti-androgen resistance. CONCLUSION: We established a novel ARRDEGs-based prognostic signature that predicts PCa progression and response to chemotherapy and targeted therapy. The integration of this signature with immune profiling and drug sensitivity analysis provides a valuable tool for precision oncology in PCa. Our findings highlight the potential of PLK1 inhibition as a therapeutic strategy to enhance enzalutamide efficacy and overcome resistance.

Humans↗

PubMed2026

Kynurenine metabolism-related gene signature for prognostic stratification in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) remains a major global health burden with high mortality rates and limited therapeutic options. The identification of reliable biomarkers for early diagnosis and prognosis prediction is urgently needed. Kynurenine metabolism, a critical pathway in immune regulation and tumor progression, has been implicated in various cancers. However, its prognostic value in HCC has not been fully elucidated. This study aimed to develop a prognostic risk model based on kynurenine metabolism-related genes (KMRGs) for HCC patients. METHODS: Transcriptomic and clinical data of HCC patients were retrieved from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) databases. A prognostic risk model was established using least absolute shrinkage and selection operator (LASSO) and Cox regression analyses. Survival analysis and functional enrichment analysis were conducted to validate the predictive performance of the model and to investigate the underlying mechanisms. ALDH8A1 was ultimately identified as a target gene based on survival analysis, and its impact on tumor cell migration was assessed using the HCC cell line. RESULTS: A prognostic model based on seven KMRGs was established. The high-risk group exhibited significantly worse overall survival compared to the low-risk group. Functional enrichment analysis in high-risk patients highlighted significant enrichment in core biological processes, including spliceosome assembly and ribonucleoprotein complex biogenesis. Furthermore, a nomogram integrating the risk score and clinical pathological features was developed, demonstrating moderate predictive performance for HCC prognosis. CONCLUSIONS: This study successfully constructed a prognostic risk model based on seven KMRGs, providing a valuable tool for predicting clinical outcomes in HCC patients. These findings highlight the potential role of kynurenine metabolism in HCC progression and offer new insights for future therapeutic strategies.

ALDH8A1↗

PubMed2026

GCH1, identified by a ferroptosis-related prognostic model, contributes to progression and drug resistance of esophageal cancer.

OBJECTIVE: Esophageal cancer has a poor prognosis and limited treatment options. Ferroptosis, an iron-dependent cell death pathway, is a promising therapeutic target; however, its significance in esophageal cancer remains largely unexplored. Here, we investigated the prognostic significance of ferroptosis-related genes in esophageal cancer and identified a key functional regulator that may serve as a therapeutic target. METHODS: We analyzed ferroptosis-related gene expression profiles with The Cancer Genome Atlas-Esophageal Carcinoma (TCGA-ESCA) cohort and constructed a prognostic risk model using LASSO Cox regression analysis. Among the genes in this model, GTP cyclohydrolase 1 (GCH1) was selected for functional investigation, based on its established role in antioxidant defense. Subsequently, in vitro experiments were performed to assess the effects of GCH1 knockdown on cell proliferation, migration, clonogenicity, and ferroptosis-related biochemical indicators. The role of GCH1 in antitumor immunity was evaluated through co-culture of esophageal cancer cells with activated T cells, and drug sensitivity was assessed using cytotoxicity assays. RESULTS: A prognostic model consisting of nine ferroptosis-related genes (STC2, TRIB3, HMGB3, CXCL8, GCH1, PARP10, APOE, MTIM, and GPER1) with reliable risk stratification was constructed. The prognostic model could reflect the differences in drug responses and immune cell infiltration. GCH1 knockdown suppressed esophageal cancer cell proliferation, migration, and clonogenicity. Furthermore, GCH1 knockdown increased the intracellular levels of reactive oxygen species, lipid peroxidation, and ferrous iron (Fe2+). Co-culture assays demonstrated that GCH1 knockdown in tumor cells increased the production of granzyme B and interferon-γ by CD8+ T cells. Moreover, GCH1 silencing sensitized esophageal cancer cells to both sorafenib and cisplatin. CONCLUSIONS: This study established a ferroptosis-related prognostic model for esophageal cancer and identified GCH1 as a critical regulator that contributes to esophageal cancer progression and drug resistance. These findings suggest that targeting GCH1 may be a promising strategy to improve drug sensitivity and clinical outcomes in esophageal cancer.

Esophageal cancer↗

PubMed2026

Machine learning prognostic model and drug survival analysis for lung adenocarcinoma in the context of radiotherapy.

BACKGROUND: Patients with lung adenocarcinoma (LUAD) receiving radiotherapy represent an important but underexplored clinical subgroup. These patients often undergo concomitant pharmacologic treatments, yet the prognostic impact and underlying determinants of such combined regimens remain poorly understood. OBJECTIVE: This retrospective observational study aimed to develop and validate a radiotherapy-specific machine learning prognostic model for LUAD and to compare survival across concomitant pharmacologic regimens. METHODS: In this retrospective observational study, using genomic and clinical data from TCGA, a radiotherapy-specific prognostic model for LUAD was developed and validated through ten machine learning algorithms. Survival analyses were conducted across distinct concomitant pharmacologic strategies, followed by functional enrichment to elucidate molecular mechanisms underlying differential outcomes. RESULTS: Demonstrating robust prognostic abilities, the model efficiently sorted patients into high- and low-risk categories. Both treatment type and risk score independently predicted overall survival, with significant interaction effects. Low-risk patients receiving targeted or combination therapy-mainly erlotinib, gefitinib, or bevacizumab-exhibited substantially improved survival compared with those receiving conventional chemotherapy. Enrichment of "Exogenous peptide presentation," "MHC class II assembly," "Peptide-MHC II assembly," and "Symbiotic interaction" pathways indicated immune modulation and host-tumor crosstalk as key mediators of treatment efficacy. CONCLUSION: This study establishes a radiotherapy-specific prognostic model for lung adenocarcinoma, demonstrating distinct molecular and therapeutic heterogeneity and highlighting the superior survival benefit of targeted combination therapy in low-risk patients.

Humans↗

PubMed1975

A staging system for hepatocellular carcinoma: prognostic factors in Ugandan patients.

A staging scheme for hepatocellular carcinoma was presented at an International Symposium on Liver Cancer in Kampala, Uganda in 1971. Historical, clinical, and laboratory aspects of that staging scheme were examined for prognostic significance in 72 untreated patients with this disease studied at the Uganda Cancer Institute. The median survival for the entire group was 1 month. The presence of a serum bilirubin concentration of greater than 2 mg/100 ml or weight loss greater than 25 percent of body weight were the poorest prognostic features. Other factors with prognostic significance were visible abdominal collateral circulation, ascites, tumor differentiation, and serum levels of alkaline phosphatase, SGOT, alpha fetoprotein, and proline hydroxylase. A modified staging scheme is presented which defines three prognostically different groups of Ugandan patients. It is hoped this staging scheme will serve as a stimulus for analysis of similar prognostic features in other populations of patients with hepatocellular carcinoma.

Adult↗

PubMed1991

Reappraisal of internal mammary node metastases as a prognostic factor in patients with breast cancer.

Clinical, histologic, and biologic prognostic factors were examined in 144 patients with invasive breast cancer. It was determined whether variable prognostic factors, especially internal mammary lymph node metastases, would serve as a basis for the prognosis of breast cancer. In a univariate study, overall survival was significantly correlated with tumor size, axillary lymph node status, axillary and internal mammary lymph node metastases, and DNA ploidy status. Especially among patients with one to three positive axillary nodes, survival in case of internal mammary involvement were significantly lower than without internal mammary involvement. In a multivariate study, only axillary and internal mammary lymph node metastases were recognized as important, independent prognostic factors of survival, but neither axillary lymph node status nor DNA ploidy status appeared as important prognostic factors. It was concluded that internal mammary lymph node metastases is additional prognostic factor, especially in patients with one to three positive axillary nodes. Because axillary and internal mammary lymph node metastases could not be predicted from their clinical assessment, axillary lymph node dissection and biopsy of internal mammary nodes may be a useful staging procedure for these patients.

Adenocarcinoma, Mucinous↗

PubMed1991

Prognostic factors in cystosarcoma phyllodes. A clinicopathologic study of 77 patients.

The authors studied prognostic factors in 77 patients with primary cystosarcoma phyllodes (CSP) of the breast. Median patient age was 50 years of age, and the median follow-up time was 8 years. Sixteen patients (21%) had distant metastases and subsequently died of CSP. Clinical variables such as age, symptom duration, clinical tumor size, and type of surgery were not of prognostic value. Local recurrence was more common among patients treated with breast-conserving surgery than among those treated with mastectomy. However, there was no significant difference between these two subgroups in terms of distant metastasis-free survival or overall survival. The prognostic significance of several histopathologic parameters was also assessed, e.g., stromal cellularity, stromal cellular atypism, mitotic activity, atypic mitoses, stromal overgrowth, tumor contour, tumor necrosis, and heterologous stromal elements. In a multivariate Cox analysis, the only features that were found to be independent prognostic factors were tumor necrosis (P less than 0.05) and presence of stromal elements other than fibromyxoid tissue (P less than 0.01). In summary, additional studies of prognostic factors in CSP are warranted because of the conflicting results in published reports.

Adolescent↗

PubMed1992

Prognostic factors in colorectal cancer.

The prognostic power of the extent of tumour invasion is indisputable; Dukes' classification has repeatedly been proven to be strongly correlated with patient survival. Modifications have led only to confusion, resulting in caution being required in the classification of patients with Dukes' A tumours. In the UK, the American tumour node metastasis and Australian clinicopathological systems are frequently considered too complex for routine clinical use. Meanwhile, Jass's classification may be complicated by observer variation between pathologists, and recent evidence suggests that it offers no advantage over that of Dukes. All the conventional staging systems also fail to take the skill of the surgeon into account when determining outcome. Attempts at quantifying tumour structure have not heralded the expected major advance. For instance, the expense and uncertain prognostic value of tumour DNA content assessed by flow cytometry are likely to restrict widespread use of this technique. It may soon be possible, however, to provide optimum treatment for patients based on individual tumour doubling times. Classification using knowledge of how a small number of cells in the tumour have the ability to invade locally, enter blood vessels and metastasize would also provide important prognostic information on which treatment could be based. Until then, the ease of use and high prognostic power of Dukes' classification ensure that, after 60 years, it is still the 'gold standard' against which all other prognostic classifications in colorectal cancer should be assessed.

Colorectal Neoplasms↗

PubMed1992

DNA flow cytometry, nuclear morphometry, mitotic indices and steroid receptors as independent prognostic factors in female breast cancer.

Clinical features, 8 histological variables, 7 nuclear morphometric variables, 2 mitotic indices, oestrogen-receptor (ER) and progesterone-receptor content (PR), DNA ploidy and S-phase fraction (SPF) were entered in a Cox's model to assess their independent predictive value in 216 breast-cancer patients followed up for over 9 years. In the whole series, histological type (p = 0.007), volume-corrected mitotic index (M/V index) (p = 0.01), axillary-lymph-node (pN) status (p = 0.024) and the year of treatment (p = 0.045) predicted independently the recurrence-free survival (RFS). In a sub-analysis including SPF (n = 148), the year of treatment (p = 0.003), tumour diameter (p = 0.004), SPF (p = 0.022) and nuclear pleomorphism (p = 0.056) independently predicted the RFS. In a Cox's analysis of the whole series, tumour diameter (p less than 0.001), pN status (p = 0.001), PR status (p = 0.002) and the year of treatment (p = 0.021) were independent predictors of survival. In a separate analysis including also SPF (n = 148), tumour diameter (p less than 0.001), SPF (p = 0.003), pN status (p = 0.008) and the year of treatment (p = 0.015) proved to be independent prognostic factors. The results show that tumour diameter, pN status, M/V-index, histological type, SPF and PR status comprise a sufficient combination of prognostic factors in female breast cancer. In pN patients, age and SDPE may be of additional prognostic significance. The prognostic scores combining the independent prognostic variables reflecting both the proliferative rate and metastatic potential of the tumours are accurate predictors of the RFS and overall survival.

Adult↗

PubMed1992

A prognostic-factor risk index in advanced non-small-cell lung cancer treated with cisplatin-containing combination chemotherapy.

Prognostic factors for response and survival were retrospectively evaluated in 192 previously untreated patients with advanced non-small-cell lung cancer (NSCLC) who had received either vindesine plus cisplatin or mitomycin plus vindesine plus cisplatin as initial treatment. Univariate analysis demonstrated that squamous-cell histology, early stage, and a small number of metastatic sites were favorable prognostic factors for response to chemotherapy. Multivariate analysis using Cox's proportional hazard model indicated that the number of metastatic sites was the only significant pretreatment factor for response (P = 0.0005). Multivariate regression analysis revealed that the number of metastatic sites (P = 0.0002), sex (P = 0.0009), serum albumen levels (P = 0.0018), performance status (P = 0.0026) and lactic dehydrogenase values (P = 0.0026) contributed independently to survival. On the basis of these five prognostic factors, a prognostic index for survival was used to define three prognostic groupings (good, intermediate, and poor) for survival (median survival, 16.5 vs 9.4 vs 4.6 months; P = 0.0001). This particular regression model should aid in the design and analysis of new treatment strategies and may be useful for indirect comparisons of different studies carried out in similar patient populations.

Adenocarcinoma↗

PubMed1992

Prognostic factors and natural history in lymph node-negative breast cancer patients.

The prognostic significance of clinical and histological factors as well as hormone receptors was analyzed in a population of 3,064 lymph node-negative breast cancer patients operated in the Stockholm region between 1976 and 1988. None of these patients received systemic adjuvant treatment. Multivariate analysis showed that only histological tumor size, number of examined axillary lymph nodes, and progesterone receptors were independent prognostic factors in terms of recurrence-free interval. An individual risk of recurrence was calculated taking into account these three factors to discriminate between three groups of patients with a risk of less than 15%, 15-25%, and more than 25% of recurrence at 5 years. Similar results were obtained taking into account only the first two factors. The prognostic information added by the knowledge of progesterone receptors only changed the recurrence rate in approximately 3%. This study showed that conventional prognostic factors permit the identification of high risk lymph node-negative breast cancer patients. Results obtained by the use of new more sophisticated factors should be compared with those obtained analyzing strong conventional prognostic factors.

Breast Neoplasms↗