Skip to content
DraconiticResearch
Search Sources API
210,049 studies31 sourcesUpdated 52 min ago
Peer-reviewedCC BY-NC-ND 4.0Translational Cancer Research

Nomograms predicting overall survival and cancer-specific survival in patients with squamous cell carcinoma based on the Surveillance, Epidemiology, and End Results (SEER) database

  1. 1Department of Plastic Surgery, Nanchang University Second Affiliated Hospital, Nanchang, China

Abstract

Background: Squamous cell carcinoma (SCC) is one of the most common types of malignant tumors worldwide, with a high incidence and a certain mortality. At present, there is a lack of sufficient research on the factors influencing the prognosis of SCC. This study aimed to develop prognostic nomograms for overall survival (OS) and cancer-specific survival (CSS) in a heterogeneous, nonmetastatics SCC population and to evaluate their internal performance.

Methods: Data for this retrospective cohort study were extracted from the Surveillance, Epidemiology, and End Results (SEER) database for 2010–2017. Patients aged 15–89 years with pathologically confirmed SCC [International Classification of Diseases for Oncology, Third Edition (ICD-O-3) histology codes 8070–8078] and harmonized M0 disease were included after excluding distant Summary Stage, recorded organ metastases, and unknown or unmappable tumor (T) or node (N) categories. The cohort was split 70:30 into training and internal validation sets. Multivariable Cox models incorporated age using restricted cubic splines, and performance was assessed using Harrell’s C-index and calibration at 1, 3, and 5 years.

Results: A total of 84,208 patients were included, comprising lung and bronchus SCC (n=34,798; 41.3%), head and neck SCC (n=26,166; 31.1%), anal/anorectal SCC (n=6,177; 7.3%), esophageal SCC (n=2,976; 3.5%), and other anatomical sites (n=14,091; 16.7%); no cutaneous SCC was included. The training and validation cohorts contained 58,944 and 25,264 patients, respectively. In the validation cohort, the C-index was 0.720 [95% confidence interval (CI): 0.716–0.724] for OS and 0.738 (95% CI: 0.733–0.743) for CSS. Calibration slopes were 1.016 (95% CI: 0.995–1.037) for OS and 1.006 (95% CI: 0.982–1.031) for CSS, with modest local deviations. Global proportional hazards tests were significant for both endpoints.

Conclusions: The revised nomograms showed moderate discrimination and close overall internal calibration in a nonmetastatic SCC cohort. They should be considered hypothesis-generating prognostic tools that require prospective and external validation before routine clinical use.

Related

  1. Development and temporal validation of nomograms and machine learning models for predicting overall and cancer-specific survival in primary distal cholangiocarcinoma: a SEER-based study
    Translational cancer researchPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  2. Association between primary-site surgery and overall survival in non-metastatic and metastatic colorectal cancer: a population-based study using the Surveillance, Epidemiology, and End Results database
    Xueru Fan, Tianzi Luo, Zelun Li +2
    Translational cancer researchPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  3. Prognostic factors and conditional survival analysis in primary thyroid lymphoma: a retrospective cohort study using the Surveillance, Epidemiology, and End Results database.
    Pai Liu, Chengzhou Lv, Yang Shi +4
    Gland surgeryPeer-reviewedCC BY-NC-NDFull textEndocrinology & metabolismEurope PMCPMC
  4. Bedside Bioimpedance and Simple Functional Tests Identify Muscle Function Impairment Predicting Overall Survival in Chemotherapy-treated Metastatic Urothelial Carcinoma: A Retrospective Pilot Study
    NOBUHITO MURAMOTO, KOSUKE KITAMURA, TOMOYA SHIRAKAWA +8
    Juntendo Medical JournalPeer-reviewedCC BY 4.0Full textGeneral medicinePMCEurope PMC
  5. Composite Inflammatory Score for Predicting Progression-Free Survival in Metastatic Clear Cell Renal Cell Carcinoma Treated With First-Line Toripalimab Plus Axitinib.
    Yun-Feng Wu, Jing-Suo Wang, Chuan-Ao Zhang +2
    The Kaohsiung journal of medical sciencesPeer-reviewedCC BYFull textOncologyEurope PMC
BibTeX
@article{peng2026nomograms,
  title = {{Nomograms predicting overall survival and cancer-specific survival in patients with squamous cell carcinoma based on the Surveillance, Epidemiology, and End Results (SEER) database}},
  author = {Ying Peng and Zhixiong Chen},
  journal = {Translational Cancer Research},
  year = {2026},
  month = sep,
  doi = {10.21037/tcr-2026-1846},
  url = {https://doi.org/10.21037/tcr-2026-1846},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Nomograms predicting overall survival and cancer-specific survival in patients with squamous cell carcinoma based on the Surveillance, Epidemiology, and End Results (SEER) database
AU  - Ying Peng
AU  - Zhixiong Chen
PY  - 2026
DA  - 2026/09/28
JO  - Translational Cancer Research
DO  - 10.21037/tcr-2026-1846
UR  - https://doi.org/10.21037/tcr-2026-1846
AB  - Background: Squamous cell carcinoma (SCC) is one of the most common types of malignant tumors worldwide, with a high incidence and a certain mortality. At present, there is a lack of sufficient research on the factors influencing the prognosis of SCC. This study aimed to develop prognostic nomograms for overall survival (OS) and cancer-specific survival (CSS) in a heterogeneous, nonmetastatics SCC population and to evaluate their internal performance.  Methods: Data for this retrospective cohort study were extracted from the Surveillance, Epidemiology, and End Results (SEER) database for 2010–2017. Patients aged 15–89 years with pathologically confirmed SCC [International Classification of Diseases for Oncology, Third Edition (ICD-O-3) histology codes 8070–8078] and harmonized M0 disease were included after excluding distant Summary Stage, recorded organ metastases, and unknown or unmappable tumor (T) or node (N) categories. The cohort was split 70:30 into training and internal validation sets. Multivariable Cox models incorporated age using restricted cubic splines, and performance was assessed using Harrell’s C-index and calibration at 1, 3, and 5 years.  Results: A total of 84,208 patients were included, comprising lung and bronchus SCC (n=34,798; 41.3%), head and neck SCC (n=26,166; 31.1%), anal/anorectal SCC (n=6,177; 7.3%), esophageal SCC (n=2,976; 3.5%), and other anatomical sites (n=14,091; 16.7%); no cutaneous SCC was included. The training and validation cohorts contained 58,944 and 25,264 patients, respectively. In the validation cohort, the C-index was 0.720 [95% confidence interval (CI): 0.716–0.724] for OS and 0.738 (95% CI: 0.733–0.743) for CSS. Calibration slopes were 1.016 (95% CI: 0.995–1.037) for OS and 1.006 (95% CI: 0.982–1.031) for CSS, with modest local deviations. Global proportional hazards tests were significant for both endpoints.  Conclusions: The revised nomograms showed moderate discrimination and close overall internal calibration in a nonmetastatic SCC cohort. They should be considered hypothesis-generating prognostic tools that require prospective and external validation before routine clinical use.
SN  - 2218-676X
SN  - 2219-6803
ER  -