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PubMed1991

Analysis of prognostic factors in squamous cell carcinomas of the head and neck.

It appears that prognostic factors of proven value in the management of other malignancies have marginal value in the treatment of patients with squamous cell carcinomas of the head and neck (SCCHN). For example, age, sex, and performance status do not correlate with treatment outcome. Similarly, histologic differentiation has little predictive value, with undifferentiated carcinomas of nasopharyngeal origin being a possible exception. On the other hand, primary tumor site may be an important prognostic factor, with tumors arising from the nasopharynx, oral cavity, and possibly the oropharynx having a more favorable outcome, whereas tumors of the hypopharynx appear to be the least favorable. A tumor's TNM stage is also highly predictive of response to treatment and survival. Overall stage of disease is an effective predictor of relapse and survival only for patients with limited disease and only after the primary site is specified. Independent of primary tumor site, an inverse correlation clearly exists between T and N stage and either response to treatment or overall survival. Flow cytometry, a relatively new test, appears to be one of the most significant predictors of response to chemotherapy, relapse, and survival in patients with SCCHN. As a prognostic factor, DNA tumor content may be independent of all other known clinical and pathologic factors. Patients with diploid tumors have a superior relapse-free and overall survival as compared with patients whose tumors are aneuploid. Another parameter of significant value is the patient's response to induction chemotherapy, with responding patients demonstrating a far superior relapse-free and overall survival compared with nonresponders. In summary, the site of the primary tumor, its T stage, N stage, and DNA content, and the magnitude of its response to induction chemotherapy are the most valuable prognostic factors in SCCHN. It is assumed, however, that as new and more effective therapies are developed for patients with SCCHN, previously significant prognostic factors will cease to have clinical or scientific value. Similarly, as new diagnostic tests and staging tools are developed, a new generation of prognostic factors with greater biologic and clinical relevance is likely to emerge. In the evolution of new therapies for patients with SCCHN, prognostic factors such as those mentioned here or ones yet to be evaluated will be central to the design of clinical studies and the identification of specific patients for specific therapies. Once treatment is initiated, treatment-related prognostic factors may further identify patients for whom modifications of the initial therapeutic plan would be appropriate.(ABSTRACT TRUNCATED AT 400 WORDS)

Adult↗

PubMed1980

Prognostic factors for survival in patients with inoperable lung cancer.

Seventy-seven prognostic factors were considered in an evaluation of more than 5,000 patients with inoperable bronchogenic carcinoma of the lung; these patients were entered on the Veterans Administration Lung Group protocols 9-15 (1968-78). Fifty prognostic factors for survival were identified, and their relative contributions to patient survival were considered. The three most important prognostic factors affecting survival were the Karnofsky initial performance status score, extent of disease, and weight loss in the previous 6 months. These factors denoted three general prognostic components: current physical status, current disease status, and prior physical status. Initial performance status was the dominant prognostic factor. Characterization of patient's function status with the use of the Karnofsky scale was preferred to a summarized scale or a dichotomization into ambulatory versus nonambulatory. The current practice of dichotomizing factors resulted in the loss of much prognostic information. Other factors, such as tumor size, histologic type, and institution, appeared to be important when considered alone. However, their contribution was relatively minor after a correction was made for the effects of initial performance status, extent of disease, and prior weight loss. Depending on these three prognostic factors alone, median survival varied between 6 weeks and over a year. Reporting of results without the consideration of such prognostic factors severly hampers any comparisons that may be made between investigations.

Actuarial Analysis↗

PubMed1982

A study on prognostic factors of uterine cervical cancer.

Prognostic factors of cancer of the cervix were studied in 286 cases treated by radiotherapy. The four items stated below relating to morphological characteristics and found to be comparatively easy to determine clinically were selected as prognostic factors. The factors are (1) clinical stage, (2) morphology of the uterine cervix, (3) histological type of cancer and (4) radiosensitivity. Each prognostic factor and prognosis indicated in every case by chi-square test (chi 2 test) a risk rate lower than 0.1%, a significant difference. Furthermore, every prognostic factor was given points according to their grade, and the total points were expressed as a prognostic index. The prognostic index was classified into the mold zone (from 1 to 8 points), the moderate zone (from 9 to 10 points), and the severe zone (from 11 to 18 points), and the five year survival rate of each zone was observed to be 91.5%, 56.1% and 18.9% respectively. Thus, at a risk of less than 0.1%, a significant difference was observed. By setting up the prognostic index, it was possible to estimate the prognosis of every case of cervical carcinoma, which to date had been nearly impossible to estimate by each prognostic factor alone.

Adenocarcinoma↗

PubMed1995

Prognostic factors for survival in patients with metastatic renal cancer treated with biological response modifiers.

PURPOSE: Clinical characteristics prognostic of survival in patients with metastatic renal cell carcinoma treated with biological response modifiers are poorly understood. Understanding these prognostic features may help with better stratification of patients in clinical trials and define further appropriate treatment for each prognostic subgroup. MATERIALS AND METHODS: A retrospective study of 84 patients with recurrent or metastatic renal cancer was conducted to identify prognostic factors for survival in patients who received biological response modifiers (alpha-interferon, beta-interferon, gamma-interferon and interleukin-2). RESULTS: Univariate analysis identified Eastern Cooperative Oncology Group (ECOG) performance status (1 versus 0, p < 0.001), bone metastasis (p = 0.008), recent weight loss (greater than 10% of total body weight versus no loss, p = 0.028), history of nephrectomy (no versus yes, p = 0.025), recurrence at the renal bed (p = 0.043) and sarcomatoid histology (yes versus no, p < 0.001) as important prognostic indicators. Multivariate analysis of prognostic factors in this patient population indicated that ECOG performance status, sarcomatoid histology and bone metastasis were most significant, while other factors were less significant (p > 0.05) after adjusting for ECOG performance status and sarcomatoid histology. Based on the total positive number of 5 risk factors defined previously the study population separates into 3 risk groups, with a median survival from the low to high risk groups of 14.4, 10.9 and 1.3 months, respectively. Prognostic scores based only on ECOG performance status, sarcomatoid histology and bone metastasis allowed for stratification of our patients into 3 distinct groups with median survivals of 18.6, 8.4 and 3.8 months, which were also predictive of survival (p < 0.05). CONCLUSIONS: Risk factors of ECOG performance status, sarcomatoid histology, bone metastasis, history of nephrectomy, recent weight loss and recurrence at the renal bed are predictive of survival in patients treated with biological response modifiers. In addition to previous findings of prognostic factors in renal cancer patients treated with chemotherapy, we identified sarcomatoid histology as an important risk factor in patients treated with biological response modifiers.

Bone Neoplasms↗

PubMed2026

Construction of molecular signatures based on the co-expression network of NECSO-related gene TRPM4 and its prognostic value in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) demonstrates significant prognostic variability that is not entirely accounted for by traditional staging systems. Necrosis by sodium overload (NECSO) is an emerging programmed cell death pathway, but its clinical relevance in HCC remains undefined. Therefore, this study aimed to identify TRPM4-associated core genes, develop and validate a prognostic signature, and investigate its relationship with the tumor immune microenvironment, tumor mutational burden, and single-cell expression patterns in HCC. METHODS: We integrated transcriptomic, clinical, and mutational datasets from The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) (n=421) and Gene Expression Omnibus (GEO) cohorts (n=115) to identify genes co-expressed with TRPM4-a key NECSO mediator-and those differentially expressed in HCC. A prognostic signature was developed using least absolute shrinkage and selection operator (LASSO)-Cox regression and validated through survival analysis, time-dependent receiver operating characteristic (ROC) curves, and multivariate Cox regression analysis. The immune landscape was characterized using CIBERSORT, somatic mutation data were used to calculate tumor mutational burden (TMB) and assess its correlation with the risk score, and single-cell RNA sequencing (scRNA-seq) resolved cell-type-specific expression patterns. RESULTS: From 294 TRPM4-associated core genes, we identified an 11-gene signature (BRSK1, MMP1, GRIN2D, GP6, MYOM2, N4BP3, CCDC112, TSEN54, MAP3K9, SPP1, B3GNT4) that independently predicted overall survival (OS) (hazard ratio =5.419, P<0.001) with areas under the curve (AUCs) of 0.779, 0.693, and 0.701 at 1, 3, and 5 years. These values were superior or comparable to conventional clinicopathologic variables after direct comparison. High-risk patients exhibited an immunosuppressive microenvironment, characterized by enrichment of M0 macrophage, a higher M2/M1 ratio (P<0.001) and distinct immune checkpoint profiles. When integrated with TMB, the prognostic stratification was further refined: high-TMB/high-risk patients had poorest outcomes (median OS, 15.3 months), while low-TMB/low-risk patients had the most favorable survival (median OS, 68.7 months). Single-cell analysis revealed that MMP1 was induced in cancer-associated fibroblasts (CAFs) and SPP1 was downregulated in macrophages, single-cell risk scores confirmed TAFs and macrophages as the main contributors to the prognostic model. CONCLUSIONS: The TRPM4-centered 11-gene signature provides robust and independent prognostic stratification in HCC by integrating immune, mutational, and single-cell features. This signature serves as a potential tool for prognostic evaluation and may help inform immunotherapeutic strategies for HCC.

Hepatocellular carcinoma (HCC)↗

PubMed1992

Multivariate analysis of the histopathologic prognostic factors of cervical cancer in patients undergoing radical hysterectomy.

Three hundred forty-five patients with invasive carcinoma of the uterine cervix, Stages Ib (211 patients) and II (134 patients), underwent radical hysterectomy and pelvic lymphadenectomy. The influence of histologic factors including histologic subtype, maximum depth of cervical stromal invasion, degree of stromal invasion, longitudinal tumor diameter, lymph-vascular space invasion, corpus invasion, parametrial invasion, vaginal invasion, and pelvic lymph node (PLN) metastases on survival were examined by multivariate analysis. Univariate analysis revealed that all the variables except corpus invasion and vaginal invasion were significant in survival (P less than 0.05). Among these variables, however, PLN metastases, histologic subtype, and longitudinal tumor diameter were identified as independent and significant prognostic factors by multivariate analysis using Cox regression models. The prognostic index (PI), defined by the model (an indicator of the patient's place in the prognostic spectrum), was able to divide the patients into three prognostic groups. The key factors in the definition of these groups were (1) squamous cell carcinoma, small tumor diameter, and no PLN metastases for the good prognostic group and (2) PLN metastasis in two or more node groups, adenocarcinoma with one positive PLN group, or squamous cell carcinoma with one PLN group and large diameter for the poor prognostic group. These prognostic findings could predict the prognosis more precisely than that of clinical staging.

Adult↗

PubMed1992

Mammographic growth rate, DNA ploidy, and S-phase fraction analysis in breast carcinoma. A prognostic evaluation in a screened population.

BACKGROUND: The authors examined prognostic factors in 158 cases of breast carcinoma with known mammographic tumor volume doubling times (DT). METHODS: The tumors were retrospectively reexamined histologically and flow cytometric analysis of DNA ploidy and S-phase fraction (SPF) was performed on archival paraffin-embedded material in each case. Life tables and Cox multivariate analyses were used for statistical evaluation of prognostic factors. RESULTS: In univariate analysis of survival data, clinical and pathologic stage, histologic grade, the presence of axillary lymph node metastases, and SPF were significant prognostic predictors, but mammographic DT and DNA ploidy were not. SPF also contributed prognostic information in the subgroup of carcinoma cases detected by screening. In a Cox multivariate analysis, SPF, the presence of axillary lymph node metastases, and Stage II-III disease (as opposed to Stage I disease) were independent significant predictors of survival. In univariate analyses of distant disease-free survival, clinical and pathologic stage, tumor size, histologic grade, the presence of involved axillary nodes, DT, and SPF all were significant prognostic factors. CONCLUSIONS: SPF, stage, and lymph node status were important prognostic factors in this patient material with predominantly small and node-negative breast carcinomas, whereas DNA ploidy and mammographic DT provided less prognostic information. The prognosis of carcinoma detected during screening did not differ significantly from that of breast carcinoma discovered otherwise in this selected patient group.

Adult↗

PubMed1990

Prognostic factors for patients with diffuse large cell or immunoblastic non-Hodgkin's lymphomas: experience of the non-Hodgkin's Lymphoma Pathologic Classification Project.

Prognostic factors for long-term survival of 312 patients with diffuse large cell or immunoblastic non-Hodgkin's lymphoma are presented based on analysis of the multiinstitution clinicopathologic study sponsored by the National Cancer Institute. At the time of analysis, 75% of the patients had died and the median follow-up for patients still alive was 11 years. The distribution of Ann Arbor stages was 21% stage I, 32% stage II, 17% stage III, and 30% stage IV. Factors of prognostic significance for survival included age, stage, histologic subtype, presence of B symptoms, size of the largest lesion, number of extra-lymphoid organs involved, and extent of lymphatic involvement. Recursive partitioning analysis suggested a prognostic classification system based on stage, age, size of the largest lesion, and presence of mediastinal involvement. Stage I patient less than 50 years of age had a 10 year survival rate of 65% compared to 36% for older stage I patients. Stage II patients less than 65 years old without bulky lesions or mediastinal involvement had a 10 year survival rate of 45% compared to 10% for the poorer risk stage II patients. Although statistically significant prognostic factors were identified for the stage III/IV patients, they were not strong discriminants of 5-10 year survival rate. Because of the correlation among potential prognostic factors, there is no uniquely best classification system. Reasons for discrepancies among reported prognostic factor analyses are discussed, and a prognostic grouping that synthesizes our results with those of others is proposed.

Adult↗

PubMedDate not supplied

A method of clinical prognostic staging for patients with rectal cancer.

Methods of prognostic stratification for patients with rectal cancer currently rely solely on the extent of tumor penetration in the surgically excised rectum. Thus stratification according to prognostic factors can be performed only after treatment had been carried out and can play no role in pretherapeutic treatment decisions or in the design of trials of preoperative adjuvant treatment. To devise a method of clinical prognostic staging that could be applied to all patients with rectal cancer, regardless of therapy, the medical records were examined of an inception cohort of 282 patients treated by surgical and nonsurgical methods at three Toronto hospitals during the years 1968 to 1974. Six groups of clinical variables were identified that independently influenced prognosis: the presence or absence of metastatic disease, whether the rectal tumor was fixed or mobile, an annular rectal tumor, and the systemic symptoms of weight loss, anorexia, or weakness, and anemia. A composite method was developed for clinical prognostic staging from these variables and it was found that it created substantial gradients in survival. In patients treated by surgery, for whom comparisons of clinical staging with conventional anatomic staging were possible, clinical staging was as effective a method of prognostic staging as was anatomic staging. Furthermore, the prognostic impact of clinical staging persisted after adjustment for the effects of anatomic staging. This method of clinical prognostic staging should prove useful in making therapeutic decisions and in the design and analysis of clinical trials of alternative treatment for patients with rectal cancer.

Anemia↗

PubMed1992

Prognostic usefulness of hepatic vein catheterization in patients with cirrhosis and esophageal varices.

Clinical and anamnestic data, Pugh score, and size of esophageal varices were obtained in 129 cirrhotics. Hepatic vein catheterization was performed to measure hepatic venous pressure gradient (HVPG), indocyanine green (ICG) intrinsic hepatic clearance, and hepatic plasma flow. During a follow-up period of up to 60 months, 44 patients experienced gastrointestinal bleeding and 54 died. Applying Cox regression analysis, ICG intrinsic hepatic clearance, Pugh score, previous variceal bleeding, and HVPG were the only significant prognostic determinants of survival. In addition, Cox's regression analysis showed that HVPG, Pugh score, size of varices, and previous variceal bleeding all contained significant prognostic information regarding risk of gastrointestinal bleeding. The models were validated using a split-sample technique, and prognostic indexes for death and gastrointestinal bleeding were calculated. The prognostic index predicting death had significantly improved prognostic accuracy over a prognostic index calculated excluding the data obtained from hepatic vein catheterization (P less than 0.05). In conclusion, prognostic accuracy in cirrhosis with portal hypertension is significantly improved by information obtained from hepatic vein catheterization.

Adolescent↗

PubMed1995

Comparison of the prognostic value of four methods to assess mitotic activity in 186 invasive breast cancer patients: classical and random mitotic activity assessments with correction for volume percentage of epithelium.

Proliferation markers and especially the Mitotic Activity Index (MAI) are strong and reproducible prognosticators in invasive breast cancer. Traditionally, the MAI has been defined as the total number of mitoses counted in 10 consecutive high-power fields (objective, x40; numeric aperture, .75; field diameter, 450 microns), in the most cellular area at the periphery of the tumor, with the subjectively highest mitotic activity. No correction for epithelial percentage or cellularity was applied. This study investigates whether the prognostic value of mitotic activity could be improved by a random sampling procedure or correction for percentage of epithelium present. For this purpose the prognostic value of four methods used to assess mitotic activity in invasive breast cancer was compared in 4-microns-thick hematoxylin-eosin (H&E)-stained sections of 186 primary invasive breast cancer patients. These were the MAI, the random MAI (rMAI), the Mitosis per Volume (M/V) Index, and the random M/V Index (rM/V Index). The rMAI was defined as the total number of mitotic figures counted in 10 random fields through the whole outlined tumor at x400 magnification. A correction for the volume percentage of epithelium assessed with stereology yielded the M/V Index and the rM/V Index, respectively. The results of all four methods showed moderate to high correlations. Univariate survival analysis (Kaplan-Meier curves; Mantel-Cox test) confirmed that all four methods had a strong prognostic value (P < .001). The MAI, however, produced the best results (Mantel-Cox value, 17.1). Multivariate analysis showed that all four methods had additional prognostic value to tumor size and lymph node status. The M/V Index provided most additional prognostic information, followed by the MAI. Assessment of rMAI took 20 to 30 minutes on average, about two times longer than MAI. The correction for volume percentage of epithelium took about 10 minutes longer for both methods than the uncorrected methods. In conclusion, the rMAI gives an impression of the mitotic activity through the whole tumor, with almost similar prognostic value as the traditional MAI, especially when correcting for percentage of epithelium. Nevertheless, the MAI is still to be preferred, because the assessment is easy to apply and less time consuming.

Adenocarcinoma↗

PubMed1988

Prognostic value of the simplified Selvester QRS score in patients with coronary artery disease.

The relation of the simplified Selvester QRS scoring system for the estimation of myocardial infarct size to survival was studied in 1,915 nonsurgically treated patients with documented coronary artery disease. Electrocardiograms (ECGs) were scored according to a simplified 29 point QRS scoring system. Using Cox model analyses, QRS scores were found to provide strong prognostic information by themselves (p less than 0.0001). Higher QRS scores were associated with lower survival rates. Patients with a score of 0 had a 1 year survival rate of 95% and a 5 year survival rate of 88%; patients with a score of 10 or more had survival rates of 81 and 52%, respectively, at the same intervals. Directly compared with the presence or absence of Q waves on the ECG, QRS scores provided greater prognostic information (p less than 0.001). When compared with 13 individual factors previously shown to provide the greatest independent prognostic information, the QRS score was the third most powerful individual prognostic factor. It did not contribute independent prognostic information in combination with the whole group, but did provide independent information in combination with the six most predictive factors. Its prognostic information overlapped mostly with clinical factors related to heart failure, and combined best with clinical factors related to the severity of ongoing myocardial ischemia. Because it is inexpensive and simple and maximizes the prognostic information from the ECG, the simplified Selvester QRS scoring system can be a useful clinical descriptor for practitioners and clinical investigators.

Cardiac Catheterization↗

PubMed1991

Analysis of prognostic factors in 766 patients with small cell lung cancer (SCLC): the role of sex as a predictor for survival.

The data of 766 patients participating in three German multicentre trials were analysed with regard to the relationship between baseline characteristics and prognosis in small cell lung cancer (SCLC). The central aim of this analysis has been to evaluate the role of gender as an independent prognostic factor in SCLC. The minimum follow-up period for the 652 male and 114 female patients was 36 months. Female patients were shown to have a higher complete remission rate (35% vs 25%), a superior median survival (ms) (12.1 months (mo) vs 9.8 mo), and a favourable 2-year survival rate (2ys) (19% vs 8%) to male ones. Various other prognostic factors have been proved to be significant, such as extent of disease, clinical performance status, and history of smoking, whereas weight loss prior to chemotherapy and age have been less important factors. We have been able to ascertain that women's responses were better than those of male patients independent of any other relevant prognostic variable. Furthermore, results were found to be even more advantageous for female patients with additional favourable prognostic parameters, i.e. for patients with limited disease (ms 15.2 mo vs 12.0 mo; 2ys 29% vs 9%) or with good performance status (ms 13.4 mo vs 10.4 mo; 2ys 24% vs 7%). A most remarkable observation was made in that the favourable prognostic effect of the female gender was restricted to patients aged less than 60 years (ms 13.3 mo vs 10.1 mo; 2ys 26% vs 5%), whereas for older women no advantages over men's results were established (ms 9.3 ml vs 9.1 mo; 2ys 8% vs 7%). A proportion of 32% of female patients with limited disease aged less than 60 years achieved a 3-year survival rate. We conclude (a) that sex constitutes a major prognostic factor in SCLC and is especially useful as a predictor for long-term survival, and (b) that the favourable prognostic value of the female sex is restricted to younger patients.

Age Factors↗

PubMed1989

[Proliferation index, axillary lymph node status, hormone receptors and age as prognostic factors in primary breast cancer].

A total of 233 primary carcinomas of the breast (n = 68 nodal negative and n = 165 nodal positive) of 77 woman patients of less than 50 years of age and pf 156 women patients of 50 years of age or older were examined for the prognostic significance of a proliferation index (in vitro chemoresistance assay). The prognostic significance of the proliferation index (high vs low proliferation) is compared with other prognostic factors that have already been in clinical use (age, axillary lymph node status, oestrogen and progesterone receptor status). The total median observation period was 4.8 years (3-9.1 years). Determination of the proliferation index proved to be the most important prognostic factor both for premenopausal and postmenopausal, nodal negative and nodal positive primary tumours when assessing the total survival time and the time that remains free from recurrences. A simultaneous assessment of low proliferation index and positive hormone receptor as a so-called low-risk situation shows in comparison to a high-risk situation (high proliferation index, negative receptor status) the most pronounced differences. For premenopausal women (younger than 50 years of age) the hormone receptor status has no prognostic significance as far as our group of patients is concerned, whereas for women of 50 years of age or older the receptor status is of great prognostic relevance. Besides the lymph node status, the proliferation index shows in a Cox regression model the greatest prognostic importance for the further course of a primary carcinoma of the breast.(ABSTRACT TRUNCATED AT 250 WORDS)

Age Factors↗

PubMed1991

Prognosis and breast cancer. Recognition of lethal and favorable prognostic types.

Assignment of breast cancer patients to specific prognostic groups has been a relatively empty exercise until the recent acceptance of the effectiveness of systemic chemotherapy. The previous question of who should be so treated has changed in North America to a question of who should not be so treated. The availability of intensive chemotherapy for the worst prognostic groups as well as efficacious, low-toxicity adjuvant chemotherapy has made prognostication mandatory. The current major question is which women with breast cancer will not benefit from chemotherapy. We are actually much better at prognostication than many studies and the current broad search for new prognostic markers would indicate. The assignment of excellent prognosis categories by defined special histologic types or grade of breast cancer as well as other measures recognize women with survival approaching or equaling the general population. Likewise, extremely poor prognosis may be recognized in 20% to 40% of women with breast cancer by the presence of extensive mitoses or high proliferation index (by any modality) and poor differentiation (highest grade). Combined tumor size and nodal status data with high-grade indicates that women with these indicators will die within 2 to 3 years with as high as 80% certainty. The surgical pathologist still determines if cancer is present and must also determine if the tumor is in situ or invasive, its type or grade if invasive, and the extent of in situ component. Considering the diminution in overall size of cancers detected by modern techniques, it is clear that validation of newer prognostic variables will be more useful and will allow more separate determinations if adapted to tissue sections rather than tissue homogenates. The many measures of these carcinomas, such as size and nodal status, make multiparametric assessment of putative prognostic markers mandatory.

Biomarkers, Tumor↗

PubMed2026

Prognostic value of genes associated with metastasis and propionate metabolism in rectal cancer.

BACKGROUND: Research indicates that alterations in propionate metabolic pathways play a critical role in cancer development and invasion. Postoperative metastatic recurrence remains a major cause of mortality in patients with rectal cancer. However, propionate metabolism-related genes (PMRGs) in rectal cancer remain insufficiently characterized. Therefore, this study aimed to identify prognostic biomarkers associated with lymph node metastasis and propionate metabolism and construct a risk‑prediction model for rectal cancer via bioinformatic analyses. METHODS: The Cancer Genome Atlas-Rectum Adenocarcinoma (TCGA-READ) and GSE87211 datasets, together with a curated PMRGs gene set, were used in this study. Pearson correlation analysis was performed to assess associations between overlapping genes (differentially expressed genes between READ and normal tissues, as well as between N0 and N1-N2 stages) and PMRGs, leading to the identification of candidate genes. Functional enrichment analyses were subsequently conducted to characterize the biological roles of these candidates. Prognostic biomarkers were identified using univariate Cox regression combined with least absolute shrinkage and selection operator (LASSO) regression, and a prognostic model was constructed accordingly. Independent prognostic validation was then performed. In addition, immune checkpoint profiling and immunotherapy response analyses were conducted across risk subgroups. Single-gene Gene Set Enrichment Analysis (GSEA) was applied to elucidate the pathways associated with the identified biomarkers. Finally, drug sensitivity analyses were performed. RESULTS: A total of 157 candidate genes were identified through the analytical pipeline. Functional enrichment analysis indicated that these genes were primarily involved in inflammatory response regulation and tumor necrosis factor (TNF) signaling pathways. Five prognostic biomarkers were subsequently identified and incorporated into a predictive model. External validation using the GSE87211 cohort confirmed the robustness of the model. Risk score and disease status were identified as independent prognostic factors. Six immune checkpoint molecules exhibited differential expression between risk groups. Correlation analyses revealed that the risk score was positively associated with most immune checkpoint genes. Single-gene GSEA demonstrated that the biomarkers were mainly enriched in ribosomal biogenesis and cell adhesion molecule-related pathways. Furthermore, 51 therapeutic agents exhibited significantly different half-maximal inhibitory concentration (IC50) values between risk subgroups. CONCLUSIONS: This study identified five biomarkers (CCL24, IGFBP3, ODC1, PYGM, and VKORC1) associated with lymph node metastasis and propionate metabolism pathways, providing a potential foundation for prognostic prediction in patients with rectal cancer.

Rectal cancer↗

PubMed1991

Prognostic impact of stress testing in coronary artery disease.

Observational data prospectively collected permit the examination of a complex set of decisions, including the decision not to perform any stress testing. Patients with or without previous myocardial infarction admitted for coronary evaluation and not submitted to any stress testing because of clinical reasons are at a higher risk for subsequent death. For prognostication, no test has been better validated than exercise electrocardiography: it can identify patients at low and high risk for future cardiac events among those without symptoms, with typical chest pain, and with previous myocardial infarction. In patients with triple-vessel disease, the results of exercise also allow those at low and high risk to be recognized. Both exercise radionuclide angiography and 201Tl scintigraphy (the latter in larger patient populations) have also demonstrated significant prognostic value on patients with or without previous myocardial infarction. Neither one has shown superiority to the other in prognostication. So far, they have been considered the only viable alternatives to exercise electrocardiography stress testing for diagnosis and prognostication. However, their costs limit their extensive application. Preliminary data suggest that intravenous dipyridamole echocardiography can be used for both diagnosis and prognostication of coronary artery disease; moreover, the prognostic information derived from dipyridamole echocardiography testing seems independent of and additive to that provided by exercise electrocardiography. Further prospective studies on larger patient populations are needed to better define the prognostic value of dipyridamole echocardiography testing.

Cardiology↗

PubMed1984

Diffuse proliferative lupus glomerulonephritis. Determination of prognostic significance of clinical, laboratory and pathologic factors.

Clinical, laboratory and pathological factors in 35 females with diffuse proliferative lupus glomerulonephritis were analyzed to determine the prognostic significance of the individual variables. The clinical and laboratory variables were age, serum creatinine (Cr), serum C3, serum C4 and proteinuria at the time of biopsy while the biopsy ones included intraglomerular monocytic infiltration (NSE index), total glomerular deposits, extent of subendothelial deposits, extent of extraglomerular deposits, tubulo-interstitial inflammation, relative tubulo-interstitial volume and total pathologic score. Standard morphometric and counting procedures were used to determine the levels of all pathologic variables but pathologic score and extra glomerular deposits where grading estimates were done. Survival curves were determined by the life table method. Logrank and chi-square tests were used to establish levels of statistical significance. Seven patients developed established renal failure (Cr greater than or equal to 2.0 on two or more occasions at least 3 months apart) and nine showed significant deterioration of renal function (decrease in CrCl of 25% or more in between biopsy and last follow-up visit or an increase in serum Cr of 0.4 mg/dl or more over the follow-up period). The 5-year renal survival rate (absence of established renal failure) for the whole group was 77%. Serum Cr (p less than .005) and extent of extraglomerular deposits (p less than .025) were shown to be significant prognostic factors for renal survival. Of the seven patients who developed renal failure none had an NSE index greater than 3.0 and one had a C3 greater than or equal to 45 mg/dl. Statistically these factors were weak prognostic indicators (0.5 less than p less than .1). Multivariate analysis demonstrated that the extraglomerular deposit factor contributed significant additional prognostic information to that provided by Cr. Although not important as a prognostic factor on its own, the NSE index significantly improved the prognostic performance of serum Cr. The product of the NSE index and serum C3 proved to be a strong prognostic factor (p less than .005).

Adolescent↗