Evidence map›Paper›PMID 38463396›Full record

ArticleMedComm2024

A novel approach to evaluation of tumor response for advanced pulmonary adenocarcinoma using the intertumoral heterogeneity response score.

Xinlong Zheng, Tao Lu, Shiwen Wu, Xiaoyan Lin, Jing Bai, Xiaohui Chen, Qian Miao, Jianqun Yan, Kan Jiang, Longfeng Zhang and 19 more

Abstract read
In one paragraph

Article in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Intratumor habitat aware deep learning framework for preoperative lymph node metastasis prediction in laryngeal carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  2. Article
  3. Article
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

29 authors.

Xinlong ZhengDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Tao LuDepartment of Radiology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Shiwen WuDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Xiaoyan LinDepartment of Oncology Fujian Medical University Union Hospital Fuzhou China.
Jing BaiDepartment of Research Geneplus-Beijing Institute Beijing China.
Xiaohui ChenDepartment of Thoracic Surgery Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Qian MiaoDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Jianqun YanDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Kan JiangDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Longfeng ZhangDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Xiaobing ZhengDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Haibo WangDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Yiquan XuDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Weijin XiaoDepartment of Pathology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Cao LiDepartment of Pathology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Wenying PengThe Second Department of Oncology Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center Kunming China.
Jianming DingDepartment of Radiation Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Qiaofeng ZhongDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Zihua ZouDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Shanshan YangDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Yujing LiDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Sihui ChenDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Qiuyu ZhangInstitute of Immunotherapy Fujian Medical University Fuzhou China.
Jianfeng YanCollege of Chemistry Fuzhou University Fuzhou China.
Guofeng TangDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Yuandong CaiCollege of Chemistry Fuzhou University Fuzhou China.
Miao KangDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.
Tony S K MokDepartment of Clinical Oncology State Key Laboratory of Translational Oncology Chinese University of Hong Kong Shatin, Hong Kong Special Administrative Region China.
Gen LinDepartment of Thoracic Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou China.ORCID https://orcid.org/0000-0001-9411-5519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment response and prognosis estimation in advanced pulmonary adenocarcinoma are challenged by the significant heterogeneity of the disease. The current Response Evaluation Criteria in Solid Tumors (RECIST) criteria, despite providing a basis for solid tumor response evaluation, do not fully encompass this heterogeneity. To better represent these nuances, we introduce the intertumoral heterogeneity response score (THRscore), a measure built upon and expanding the RECIST criteria. This retrospective study included patients with 3-10 measurable advanced lung adenocarcinoma lesions who underwent first-line chemotherapy or targeted therapy. The THRscore, derived from the coefficient of variation in size for each measurable tumor before and 4-6 weeks posttreatment, unveiled a correlation with patient outcomes. Specifically, a high THRscore was associated with shorter progression-free survival, lower tumor response rate, and a higher tumor mutation burden. These associations were further validated in an external cohort, confirming THRscore's effectiveness in stratifying patients based on progression risk and treatment response, and enhancing the utility of RECIST in capturing complex tumor behaviors in lung adenocarcinoma. These findings affirm the promise of THRscore as an enhanced tool for tumor response assessment in advanced lung adenocarcinoma, extending the RECIST criteria's utility.

Indexed as

intertumoral heterogeneityintertumoral heterogeneous responselung adenocarcinomaRECIST criteria

Identifiers

PMID38463396
PMCPMC10924640

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Registered trials

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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 OpenQuestion graph.