Cargando…

Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival

BACKGROUND: Primary lymphoma of the female genital tract (PLFGT) is a sporadic extranodal lymphoma. Its epidemiology and prognosis are not fully recognized. Our study aimed to construct and validate prognostic nomograms for predicting survival for patients with PLFGT. METHODS: Incidence rate from 19...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Fei, Li, Jingwen, Mu, Shidai, Qin, You, Ma, Jiewen, Ai, Lisha, Hu, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009932/
https://www.ncbi.nlm.nih.gov/pubmed/35416104
http://dx.doi.org/10.1080/07853890.2022.2046289
_version_ 1784687371259740160
author Peng, Fei
Li, Jingwen
Mu, Shidai
Qin, You
Ma, Jiewen
Ai, Lisha
Hu, Yu
author_facet Peng, Fei
Li, Jingwen
Mu, Shidai
Qin, You
Ma, Jiewen
Ai, Lisha
Hu, Yu
author_sort Peng, Fei
collection PubMed
description BACKGROUND: Primary lymphoma of the female genital tract (PLFGT) is a sporadic extranodal lymphoma. Its epidemiology and prognosis are not fully recognized. Our study aimed to construct and validate prognostic nomograms for predicting survival for patients with PLFGT. METHODS: Incidence rate from 1975 to 2017 and patients with PLFGT from 1975 to 2011 in the Surveillance, Epidemiology and End Results (SEER) database were retrospectively reviewed. The nomograms of overall survival (OS) and disease-specific survival (DSS) were established according to the multivariate Cox regression analyses. The concordance index (C-index) and calibration plots were used to demonstrate its robustness and accuracy. RESULTS: A total of 617 PLFGT patients were identified. The overall incidence of PLFGT is 0.437/1,000,000 (adjusted to the US standard population in 2000) from 1975 to 2017. Age, histological subtype, Ann Arbor Stage, and therapeutic strategy were identified as independent prognostic factors for OS and DSS by multivariate Cox regression (p < .05). Nomograms to predict 1-, 5-, and 10-year OS and DSS were established. The C-index and calibration plots showed a good discriminative ability and an optimal accuracy of the nomograms. Patients were divided into three risk groups according to the model of OS. CONCLUSIONS: The incidence of PLFGT has increased in the past 40 years, and the nomograms were developed and validated as an individualized tool to predict OS and DSS for all PLFGT patients and DLBCL patients. All patients are divided into three risk groups to assist clinicians to identify patients at high-risk and choose the optimal individualized treatments for patients. HIGHLIGHTS: The incident of PLFGT and its subtypes were calculated and compared. Nomograms were constructed to predict the 1-, 5-, and 10-year OS and DSS. Patients are divided into the low-risk, medium-risk, and high-risk according total score of the nomogram.
format Online
Article
Text
id pubmed-9009932
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-90099322022-04-15 Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival Peng, Fei Li, Jingwen Mu, Shidai Qin, You Ma, Jiewen Ai, Lisha Hu, Yu Ann Med Hematology BACKGROUND: Primary lymphoma of the female genital tract (PLFGT) is a sporadic extranodal lymphoma. Its epidemiology and prognosis are not fully recognized. Our study aimed to construct and validate prognostic nomograms for predicting survival for patients with PLFGT. METHODS: Incidence rate from 1975 to 2017 and patients with PLFGT from 1975 to 2011 in the Surveillance, Epidemiology and End Results (SEER) database were retrospectively reviewed. The nomograms of overall survival (OS) and disease-specific survival (DSS) were established according to the multivariate Cox regression analyses. The concordance index (C-index) and calibration plots were used to demonstrate its robustness and accuracy. RESULTS: A total of 617 PLFGT patients were identified. The overall incidence of PLFGT is 0.437/1,000,000 (adjusted to the US standard population in 2000) from 1975 to 2017. Age, histological subtype, Ann Arbor Stage, and therapeutic strategy were identified as independent prognostic factors for OS and DSS by multivariate Cox regression (p < .05). Nomograms to predict 1-, 5-, and 10-year OS and DSS were established. The C-index and calibration plots showed a good discriminative ability and an optimal accuracy of the nomograms. Patients were divided into three risk groups according to the model of OS. CONCLUSIONS: The incidence of PLFGT has increased in the past 40 years, and the nomograms were developed and validated as an individualized tool to predict OS and DSS for all PLFGT patients and DLBCL patients. All patients are divided into three risk groups to assist clinicians to identify patients at high-risk and choose the optimal individualized treatments for patients. HIGHLIGHTS: The incident of PLFGT and its subtypes were calculated and compared. Nomograms were constructed to predict the 1-, 5-, and 10-year OS and DSS. Patients are divided into the low-risk, medium-risk, and high-risk according total score of the nomogram. Taylor & Francis 2022-04-13 /pmc/articles/PMC9009932/ /pubmed/35416104 http://dx.doi.org/10.1080/07853890.2022.2046289 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Hematology
Peng, Fei
Li, Jingwen
Mu, Shidai
Qin, You
Ma, Jiewen
Ai, Lisha
Hu, Yu
Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival
title Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival
title_full Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival
title_fullStr Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival
title_full_unstemmed Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival
title_short Epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival
title_sort epidemiological features for primary lymphoma of the female genital tract patients and development of a nomogram to predict survival
topic Hematology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009932/
https://www.ncbi.nlm.nih.gov/pubmed/35416104
http://dx.doi.org/10.1080/07853890.2022.2046289
work_keys_str_mv AT pengfei epidemiologicalfeaturesforprimarylymphomaofthefemalegenitaltractpatientsanddevelopmentofanomogramtopredictsurvival
AT lijingwen epidemiologicalfeaturesforprimarylymphomaofthefemalegenitaltractpatientsanddevelopmentofanomogramtopredictsurvival
AT mushidai epidemiologicalfeaturesforprimarylymphomaofthefemalegenitaltractpatientsanddevelopmentofanomogramtopredictsurvival
AT qinyou epidemiologicalfeaturesforprimarylymphomaofthefemalegenitaltractpatientsanddevelopmentofanomogramtopredictsurvival
AT majiewen epidemiologicalfeaturesforprimarylymphomaofthefemalegenitaltractpatientsanddevelopmentofanomogramtopredictsurvival
AT ailisha epidemiologicalfeaturesforprimarylymphomaofthefemalegenitaltractpatientsanddevelopmentofanomogramtopredictsurvival
AT huyu epidemiologicalfeaturesforprimarylymphomaofthefemalegenitaltractpatientsanddevelopmentofanomogramtopredictsurvival