Evidence map›Paper›PMID 41487591›Full record

ArticleFrontiers in oncology2025

Novel immune-nutritional prognostic ratio predicts long-term survival in stage I-III colorectal cancer.

Kuan Wang, Boxiang Zhang, Kejin Li, Ziyi Zhang, Xiangyue Zeng, Jun-Min Guan, Richard Aldridge, Elizabeth Whitmore, Yipeng Pan, Lucy Yue Lau and 2 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Kuan Wang *Department of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
Boxiang Zhang *Cancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Kejin LiDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Ziyi ZhangDepartment of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
Xiangyue ZengDepartment of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
Jun-Min GuanDepartment of Gastrointestinal Oncology Surgery, Gastroenterology Center, People's Hospital of Bortala Mongolian Autonomous Prefecture, Bole, China.
Richard AldridgeDepartment of Medicine, University of Minnesota, Minneapolis, MN, United States.
Elizabeth WhitmoreDepartment of Medicine, University of Minnesota, Minneapolis, MN, United States.
Yipeng PanDepartment of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Lucy Yue LauDepartment of Public Health, Harvard Medical School, Boston, MA, United States.
Zeliang ZhaoDepartment of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
Yi ChenCancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) is a common and highly lethal malignancy worldwide. Even after curative resection, patients with stage I-III disease remain at substantial risk of recurrence and mortality. The Prognostic Immune and Nutritional Index (PINI) and lymphocyte-to-monocyte ratio (LMR) have been validated as prognostic markers in cancer, yet their individual predictive performance remains limited. We developed a novel Immune-Nutritional Prognostic Ratio (INPR) integrating PINI and LMR to provide a more comprehensive assessment of immune, nutritional, and inflammatory status. This study further evaluated its value in predicting 1-, 3-, and 5-year survival in stage I-III CRC. Methods: We retrospectively analyzed data from 556 colorectal cancer patients at two hospitals, with one serving as the validation cohort. Receiver operating characteristic (ROC) curves were used to determine optimal cutoff values for PINI and LMR, and the area under the curve (AUC) was applied to assess predictive performance. KKaplan-Meier analysis showed that lower PINI and LMR were associated with shorter overall survival (OS). The INPR, integrating both markers, demonstrated superior accuracy. Variables linked to OS were selected using the Boruta algorithm and multivariable Cox regression, and a nomogram model was developed and validated internally and externally. Results: The Youden index identified optimal cutoff values of 3.50 for PINI and 2.65 for LMR, with low levels independently predicting shorter OS. The INPR, integrating both, stratified patients into low-, intermediate-, and high-risk groups, with 5-year OS rates of 93.30%, 59.35%, and 28.57% in the training cohort (p<0.001). INPR outperformed either marker alone, showing higher AUC. A nomogram incorporating variables selected by the Boruta algorithm and multivariable Cox regression demonstrated stable and superior prognostic performance in both internal and external validation. Conclusion: Our findings demonstrate that INPR is a simple, accessible, and effective prognostic tool for postoperative risk stratification in stage I-III CRC patients, providing valuable guidance for optimizing individualized treatment strategies.

Indexed as

colorectal cancerlymphocyte-to-monocyte rationomogramoverall survivalprognosis

Identifiers

PMID41487591
PMCPMC12756154

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.