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Journal ArticleDOI

Follicular lymphoma international prognostic index.

TL;DR: The Follicular Lymphoma International Prognostic Index was designed from the data recorded over 8 years of nearly 5000 patients registered worldwide to help provide an optimal treatment option for patients with follicular lymphoma.
About: This article is published in Blood.The article was published on 2004-09-01 and is currently open access. It has received 1459 citations till now. The article focuses on the topics: International Prognostic Index & Follicular lymphoma.

Summary (3 min read)

Introduction

  • Follicular lymphomas (FLs) account for one third of nonHodgkin lymphomas (NHLs) in adults.
  • Several retrospective analyses have also suggested that the International Prognostic Index (IPI) initially designed for aggressive NHLs could also be used in indolent NHLs.15-20However, some important prognostic factors may have been missed since the IPI was not designed to investigate prognostic factors in FL.
  • An Inside Blood analysis of this article appears in the front of this issue.
  • Therefore, and solely to indicate this fact, this article is hereby marked ‘‘advertisement’’ in accordance with 18 U.S.C. section 1734.

Patients

  • The following inclusion criteria were used: (1) Follicular lymphoma according to the Working Formulation for Clinical Usage21 and/or the Kiel classification,22 which were in use at the time of the period of inclusion.
  • All cell types (small-cell, mixed, or large-cell FL) could be included in the study.
  • Consent for this study was part of the informed consent given for these trials.

Data collection

  • Nodal areas considered were cervical, axillary, inguino-crural, para aortic and/or iliac, celiac and/or mesenteric, and other ancillary nodal sites.
  • As in the International Prognostic Index for aggressive NHLs2 the spleen was considered as an extra nodal site.
  • The following clinical and biologic characteristics were related to disease extension and/or tumor bulk: cell type, Ann Arbor stage, serum LDH, and 2 microglobulin levels (expressed as the ratio of the measured value to the upper limit of normal for the center).
  • The following clinical and biologic characteristics were related to the effects of FL on the host: performance status according to the Eastern Cooperative Oncology Group scale, presence or absence of any B symptoms, anemia, lymphocytopenia, decreased serum albumin level, increased erythrocyte sedimentation rate (ESR), thrombocytopenia.

Statistical analysis

  • Overall survival was the end point of all statistical analyses.
  • BNLI indicates British National Lymphoma Intergroup; EORTC, European Organization for the Treatment of Cancer; GELF, Groupe d’Etude des Lymphomes Folliculaires; GOELAMS, Groupe Ouest-Est des Leucémies Aiguës et Autres Maladies du Sang; SNLG, Scotland and Newcastle Lymphoma Study Group; and SWOG, SouthWest Oncology Group.
  • A prognostic model was built fitting a proportional hazard model with all variables that significantly influenced the overall survival at a level of P values less than or equal to .05 in the univariate analysis (full model).
  • Then, categories were combined according to the number of patients within each category, the combination producing the smallest loss of information in terms of loglikelihood, and clinical consideration in order to obtain 3 categories of approximately equal size.

External validation

  • The data of 1101 other cases of patients with FL were received from 10 groups or centers in the United States and Europe.
  • Of these, 92 were not analyzed because of missing values and/or inconsistencies.
  • The distribution of the 5 parameters of the FLIPI among these 919 patients, the distribution among the 3 FLIPI groups, and the hazard ratios are shown in Table 7. upper limit of normal; Ann Arbor stage III-IV; and age greater than 60 years.

Patient characteristics

  • Overall, 5120 patients from 27 centers or groups have been registered (Table 1).
  • There were 4167 cases included in the final analysis.
  • The median follow-up of surviving patients was 7.5 years and the overall survival of these patients is shown in Figure 2.
  • Treatment modalities varied over time and according to the institutions.

Univariate analysis

  • The correlations between the clinical characteristics at diagnosis and overall survival are shown in Table 2.
  • Given the size of the study population, all the listed characteristics (except cell type) were significantly associated with outcome.
  • In order to propose a simple and accurate index, the clinical and statistical committees decided not to include all of these parameters in the multivariate analysis.

Prognostic model

  • Based on clinical relevance and availability of the information, 12 pretreatment characteristics were included in the multivariate RR indicates relative risk (of death); CI, confidence interval; PB, peripheral blood; LDH, lactate dehydrogenase; and ULN, upper limit of normal.
  • RR indicates relative risk (of death); CI, confidence interval; LDH, lactate dehydrogenase; and ULN, upper limit of normal.
  • *Factors adversely affecting survival in the FLIPI include age greater than 60 years;.
  • Both complete model and forward analyses retained 8 variables independently associated with the prognosis in a model established on 1795 patients for whom these parameters were available (Table 3).

Prognostic index

  • This sample of 1795 patients comprised the population used to build the FLIPI.
  • In the 100 resamples of the original data set, this 5-parameter model was classified 24 times with the best score and 59 times as one of the 3 highest scoring models.
  • The FLIPI index was thus created with 3 risk groups: low (0-1 risk factor), intermediate (2 risk factors), high ( 3 risk factors).
  • The distribution of patients into these 3 groups and hazard ratios are shown in Table 5.

Comparison with the International Prognostic Index (IPI)

  • This comparison was performed on 1647 of 1795 patients used for building the FLIPI for whom complete information was also available for the parameters of the IPI (age, serum LDH level, performance status, Ann Arbor stage, number of extra nodal sites of disease).
  • The distribution of patients into the 4 IPI risk groups and the relative risks of death are shown in Table 6.
  • The IPI separates the patients into 4 risk groups with significantly different survivals.
  • Meanwhile, the number of patients in “high” and “high-intermediate” risk groups is low (4.7% and 15.5%, respectively).
  • Conversely, most of the patients are in the “ low” and “ low-intermediate” risk groups (49% and 31%, respectively).

Age-adjusted model

  • The FLIPI was also tested in patients younger than 60 years and in patients 60 years or older.
  • As in the IPI study,2 the 4 risk factors other than age were tested within each age group.
  • The 4 other identified risk factors (number of nodal sites, Ann Arbor stage, serum LDH level, and hemoglobin level) remained independent prognostic factors.
  • Survival curves for these 2 age groups are shown in Figure 6.

Discussion

  • Among all NHLs, follicular lymphomas are the second most frequent subtype.
  • Several new treatment modalities including combination of chemotherapy and interferon alpha,27 anti-CD20 monoclonal antibodies given alone28 or bound to a radio nuclide,29 intensive therapy with autologous stem cell transplantation,30 or nonmyeloablative allogenic stem cell transplantation31 have recently shown their activity in clinical trials.
  • None of the treatments given during the period of inclusion has significantly changed the natural history of the disease.
  • In conclusion, the FLIPI is an extremely simple and reproducible prognostic index, based on easily available clinical data, for patients with FL.
  • This index may be a useful tool for improving the prognostic assessment of patients with FL.

FLIPI

  • LDH indicates lactate dehydrogenase; and ULN, upper limit of normal.
  • Figure 7. Overall survival of the 919 patients used for validation of the Follicular Lymphoma International Prognostic Index.
  • Treatment of patients with low-grade B-cell lymphoma with the combination of chimeric antiCD20 monoclonal antibody and CHOP chemotherapy.

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Citations
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Journal ArticleDOI
TL;DR: Recommendations to modernize recommendations for evaluation, staging, and response assessment of patients with Hodgkin lymphoma and non-Hodgkin lymphomas and enhance the ability to compare outcomes of clinical trials are made.
Abstract: The purpose of this work was to modernize recommendations for evaluation, staging, and response assessment of patients with Hodgkin lymphoma (HL) and non-Hodgkin lymphoma (NHL). A workshop was held at the 11th International Conference on Malignant Lymphoma in Lugano, Switzerland, in June 2011, that included leading hematologists, oncologists, radiation oncologists, pathologists, radiologists, and nuclear medicine physicians, representing major international lymphoma clinical trials groups and cancer centers. Clinical and imaging subcommittees presented their conclusions at a subsequent workshop at the 12th International Conference on Malignant Lymphoma, leading to revised criteria for staging and of the International Working Group Guidelines of 2007 for response. As a result, fluorodeoxyglucose (FDG) positron emission tomography (PET)–computed tomography (CT) was formally incorporated into standard staging for FDG-avid lymphomas. A modification of the Ann Arbor descriptive terminology will be used for ana...

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Journal ArticleDOI
TL;DR: The length of survival among patients with follicular lymphoma correlates with the molecular features of nonmalignant immune cells present in the tumor at diagnosis.
Abstract: background Patients with follicular lymphoma may survive for periods of less than 1 year to more than 20 years after diagnosis. We used gene-expression profiles of tumor-biopsy specimens obtained at diagnosis to develop a molecular predictor of the length of survival. methods Gene-expression profiling was performed on 191 biopsy specimens obtained from patients with untreated follicular lymphoma. Supervised methods were used to discover expression patterns associated with the length of survival in a training set of 95 specimens. A molecular predictor of survival was constructed from these genes and validated in an independent test set of 96 specimens. results Individual genes that predicted the length of survival were grouped into gene-expression signatures on the basis of their expression in the training set, and two such signatures were used to construct a survival predictor. The two signatures allowed patients with specimens in the test set to be divided into four quartiles with widely disparate median lengths of survival (13.6, 11.1, 10.8, and 3.9 years), independently of clinical prognostic variables. Flow cytometry showed that these signatures reflected gene expression by nonmalignant tumor-infiltrating immune cells. conclusions The length of survival among patients with follicular lymphoma correlates with the molecular features of nonmalignant immune cells present in the tumor at diagnosis.

1,336 citations

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TL;DR: This article comprises the consensus reached to update guidance on the use of PET-CT for staging and response assessment for [18F]fluorodeoxyglucose-avid lymphomas in clinical practice and late-phase trials.
Abstract: PurposeRecent advances in imaging, use of prognostic indices, and molecular profiling techniques have the potential to improve disease characterization and outcomes in lymphoma. International trials are under way to test image-based response–adapted treatment guided by early interim positron emission tomography (PET) –computed tomography (CT). Progress in imaging is influencing trial design and affecting clinical practice. In particular, a five-point scale to grade response using PET-CT, which can be adapted to suit requirements for early- and late-response assessment with good interobserver agreement, is becoming widely used both in practice- and response-adapted trials. A workshop held at the 11th International Conference on Malignant Lymphomas (ICML) in 2011 concluded that revision to current staging and response criteria was timely.MethodsAn imaging working group composed of representatives from major international cooperative groups was asked to review the literature, share knowledge about research i...

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References
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TL;DR: In this article, the product-limit (PL) estimator was proposed to estimate the proportion of items in the population whose lifetimes would exceed t (in the absence of such losses), without making any assumption about the form of the function P(t).
Abstract: In lifetesting, medical follow-up, and other fields the observation of the time of occurrence of the event of interest (called a death) may be prevented for some of the items of the sample by the previous occurrence of some other event (called a loss). Losses may be either accidental or controlled, the latter resulting from a decision to terminate certain observations. In either case it is usually assumed in this paper that the lifetime (age at death) is independent of the potential loss time; in practice this assumption deserves careful scrutiny. Despite the resulting incompleteness of the data, it is desired to estimate the proportion P(t) of items in the population whose lifetimes would exceed t (in the absence of such losses), without making any assumption about the form of the function P(t). The observation for each item of a suitable initial event, marking the beginning of its lifetime, is presupposed. For random samples of size N the product-limit (PL) estimate can be defined as follows: L...

52,450 citations

Book ChapterDOI
TL;DR: The analysis of censored failure times is considered in this paper, where the hazard function is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time.
Abstract: The analysis of censored failure times is considered. It is assumed that on each individual arc available values of one or more explanatory variables. The hazard function (age-specific failure rate) is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time. A conditional likelihood is obtained, leading to inferences about the unknown regression coefficients. Some generalizations are outlined.

28,264 citations

Journal ArticleDOI
TL;DR: In this article, an easily interpretable index of predictive discrimination as well as methods for assessing calibration of predicted survival probabilities are discussed, which are particularly needed for binary, ordinal, and time-to-event outcomes.
Abstract: Multivariable regression models are powerful tools that are used frequently in studies of clinical outcomes. These models can use a mixture of categorical and continuous variables and can handle partially observed (censored) responses. However, uncritical application of modelling techniques can result in models that poorly fit the dataset at hand, or, even more likely, inaccurately predict outcomes on new subjects. One must know how to measure qualities of a model's fit in order to avoid poorly fitted or overfitted models. Measurement of predictive accuracy can be difficult for survival time data in the presence of censoring. We discuss an easily interpretable index of predictive discrimination as well as methods for assessing calibration of predicted survival probabilities. Both types of predictive accuracy should be unbiasedly validated using bootstrapping or cross-validation, before using predictions in a new data series. We discuss some of the hazards of poorly fitted and overfitted regression models and present one modelling strategy that avoids many of the problems discussed. The methods described are applicable to all regression models, but are particularly needed for binary, ordinal, and time-to-event outcomes. Methods are illustrated with a survival analysis in prostate cancer using Cox regression.

7,879 citations

01 Jan 1996
TL;DR: An easily interpretable index of predictive discrimination as well as methods for assessing calibration of predicted survival probabilities are discussed, which are applicable to all regression models, but are particularly needed for binary, ordinal, and time-to-event outcomes.
Abstract: SUMMARY Multivariable regression models are powerful tools that are used frequently in studies of clinical outcomes. These models can use a mixture of categorical and continuous variables and can handle partially observed (censored) responses. However, uncritical application of modelling techniques can result in models that poorly fit the dataset at hand, or, even more likely, inaccurately predict outcomes on new subjects. One must know how to measure qualities of a model's fit in order to avoid poorly fitted or overfitted models. Measurement of predictive accuracy can be difficult for survival time data in the presence of censoring. We discuss an easily interpretable index of predictive discrimination as well as methods for assessing calibration of predicted survival probabilities. Both types of predictive accuracy should be unbiasedly validated using bootstrapping or cross-validation, before using predictions in a new data series. We discuss some of the hazards of poorly fitted and overfitted regression models and present one modelling strategy that avoids many of the problems discussed. The methods described are applicable to all regression models, but are particularly needed for binary, ordinal, and time-to-event outcomes. Methods are illustrated with a survival analysis in prostate cancer using Cox regression. Accurate estimation of patient prognosis is important for many reasons. First, prognostic estimates can be used to inform the patient about likely outcomes of her disease. Second, the physician can use estimates of prognosis as a guide for ordering additional tests and selecting appropriate therapies. Third, prognostic assessments are useful in the evaluation of technologies; prognostic estimates derived both with and without using the results of a given test can be compared to measure the incremental prognostic information provided by that test over what is provided by prior information.' Fourth, a researcher may want to estimate the effect of a single factor (for example, treatment given) on prognosis in an observational study in which many uncontrolled confounding factors are also measured. Here the simultaneous effects of the uncontrolled variables must be controlled (held constant mathematically if using a regression model) so that the effect of the factor of interest can be more purely estimated. An analysis of how variables (especially continuous ones) affect the patient outcomes of interest is necessary to

4,782 citations

Journal Article
TL;DR: The international index and the age-adjusted international index should be used in the design of future therapeutic trials in patients with aggressive non-Hodgkin's lymphoma and in the selection of appropriate therapeutic approaches for individual patients.
Abstract: BACKGROUND Although many patients with intermediate-grade or high-grade (aggressive) non-Hodgkin's lymphoma are cured by combination chemotherapy, the remainder are not cured and ultimately die of their disease. The Ann Arbor classification, used to determine the stage of this disease, does not consistently distinguish between patients with different long-term prognoses. This project was undertaken to develop a model for predicting outcome in patients with aggressive non-Hodgkin's lymphoma on the basis of the patients' clinical characteristics before treatment. METHODS Adults with aggressive non-Hodgkin's lymphoma from 16 institutions and cooperative groups in the United States, Europe, and Canada who were treated between 1982 and 1987 with combination-chemotherapy regimens containing doxorubicin were evaluated for clinical features predictive of overall survival and relapse-free survival. Features that remained independently significant in step-down regression analyses of survival were incorporated into models that identified groups of patients of all ages and groups of patients no more than 60 years old with different risks of death. RESULTS In 2031 patients of all ages, our model, based on age, tumor stage, serum lactate dehydrogenase concentration, performance status, and number of extranodal disease sites, identified four risk groups with predicted five-year survival rates of 73 percent, 51 percent, 43 percent, and 26 percent. In 1274 patients 60 or younger, an age-adjusted model based on tumor stage, lactate dehydrogenase level, and performance status identified four risk groups with predicted five-year survival rates of 83 percent, 69 percent, 46 percent, and 32 percent. In both models, the increased risk of death was due to both a lower rate of complete responses and a higher rate of relapse from complete response. These two indexes, called the international index and the age-adjusted international index, were significantly more accurate than the Ann Arbor classification in predicting long-term survival. CONCLUSIONS The international index and the age-adjusted international index should be used in the design of future therapeutic trials in patients with aggressive non-Hodgkin's lymphoma and in the selection of appropriate therapeutic approaches for individual patients.

4,310 citations

Related Papers (5)
Frequently Asked Questions (6)
Q1. What have the authors contributed in "Follicular lymphoma international prognostic index" ?

In this paper, the authors proposed a prognostic index for Follicular Lymphoma ( FL ) based on the International Prognostic Index. 

Three risk groups were defined: low risk (0-1 adverse factor, 36% of patients), intermediate risk (2 factors, 37% of patients, hazard ratio [HR] of 2.3), and poor risk (> 3 adverse factors, 27% of patients, HR 4.3). 

The size of the high-risk group (27% of patients in the sample used for creating this index and 28% in the sample used for validation) could allow the design of multicenter randomized trials. 

2004;104:1258-1265) © 2004 by The American Society of HematologyFollicular lymphomas (FLs) account for one third of nonHodgkin lymphomas (NHLs) in adults. 

Five adverse prognostic factors were selected: age (> 60 years vs < 60 years), Ann Arbor stage (III-IV vs I-II), hemoglobin level (< 120 g/L vs > 120 g/L), number of nodal areas (> 4 vs < 4), and serum LDH level (above normal vs normal or below). 

In the 100 resamples of the original data set, this 5-parameter model was classified 24 times with the best score and 59 times as one of the 3 highest scoring models.