# Stratification system for pharmaceutical care in cancer patients: Chinese expert consensus

**Authors:** Ya Chen, Xue Ma, Mao Lin, Zhiqiang Hu, Junxiang Zhou, Yue Qiu, Zhixi Liu, Suya Du, Lihong Shi, Li Han, Yan Chen, Tingting Qi, Yu Zhang, Guohui Li, Hongtao Xiao

PMC · DOI: 10.3389/fphar.2025.1707229 · Frontiers in Pharmacology · 2026-02-16

## TL;DR

Chinese experts developed a standardized system to improve cancer patient care by stratifying pharmaceutical services based on patient and treatment factors.

## Contribution

A novel stratification system for oncology pharmaceutical care in China, based on multidisciplinary consensus and practical clinical guidance.

## Key findings

- A three-level pharmaceutical care framework was established with principles for prioritizing high-risk patients and dynamic reassessment.
- The stratification system integrates three core dimensions: pathophysiological conditions, medication-related factors, and non-medication interventions.
- The consensus provides actionable recommendations to enhance care quality and optimize resource use in oncology.

## Abstract

China bears one of the world’s heaviest cancer burdens, with a complex and multimodal cancer treatment environment. Currently, the absence of a standardized framework for oncology pharmaceutical care limits the quality and precision of services, highlighting an urgent need for clinical guidance.

The objective of this study was to establish an evidence- and practice-informed consensus on oncology pharmaceutical care, providing a standardized framework for clinical practice.

Under the leadership of Sichuan Cancer Hospital and in collaboration with national academic organizations, a multidisciplinary expert panel conducted a systematic literature review, nationwide surveys, and consensus meetings. The recommendations were formalized through a two-round Delphi process.

Three levels of pharmaceutical care are defined in this consensus, along with their corresponding implementation principles, including prioritization of high-risk patients, assignment of the highest applicable level when multiple criteria are met, and dynamic reassessment in response to changes in clinical status. The stratification system is established based on a comprehensive assessment across three core dimensions: 1) Pathophysiological conditions, including fertility preservation, age, body mass index, performance status, comorbid chronic diseases, concurrent infections, nutritional status and support, pain management, and hepatic or renal impairment; 2) Medication-related factors, encompassing antineoplastic agent toxicity risk and management, therapeutic drug monitoring, pharmacogenomics, clinically significant drug-drug interactions, polypharmacy, special administration routes or delivery devices, medication adherence, and complex medication issues; 3) Non-medication therapeutic interventions, such as radiotherapy, interventional therapy, surgery, and novel therapies (e.g., CAR-T therapy, tumor-infiltrating lymphocyte therapy). Specific recommendations for stratified pharmaceutical care were formulated based on these factors.

This expert consensus establishes a standardized and practical framework for stratified pharmaceutical care in cancer patients, aiming to improve care quality, optimize resource allocation, and enhance patient outcomes in China. It may also serve as a reference model for international initiatives seeking to establish or refine standards for oncology pharmaceutical care.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Genes:** CTLA4 (cytotoxic T-lymphocyte associated protein 4) [NCBI Gene 397286], PDCD1 (programmed cell death 1) [NCBI Gene 5133] {aka ADMIO4, AIMTBS, CD279, PD-1, PD1, SLEB2}, KDR (kinase insert domain receptor) [NCBI Gene 3791] {aka CD309, FLK1, VEGFR, VEGFR2}, PARP1 (poly(ADP-ribose) polymerase 1) [NCBI Gene 142] {aka ADPRT, ADPRT 1, ADPRT1, ARTD1, PARP, PARP-1}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, ATHS (atherosclerosis susceptibility (lipoprotein associated)) [NCBI Gene 470] {aka ALP}, PTK2B (protein tyrosine kinase 2 beta) [NCBI Gene 2185] {aka CADTK, CAKB, FADK2, FAK2, PKB, PTK}, EGFR (epidermal growth factor receptor) [NCBI Gene 1956] {aka ERBB, ERBB1, ERRP, HER1, NISBD2, NNCIS}, SLTM (SAFB like transcription modulator) [NCBI Gene 79811] {aka Met}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, CD274 (CD274 molecule) [NCBI Gene 574058] {aka PDL1}, ABL1 (ABL proto-oncogene 1, non-receptor tyrosine kinase) [NCBI Gene 25] {aka ABL, BCR-ABL, CHDSKM, JTK7, bcr/abl, c-ABL}, PIK3R1 (phosphoinositide-3-kinase regulatory subunit 1) [NCBI Gene 5295] {aka AGM7, GRB1, IMD36, p85, p85-ALPHA, p85alpha}, ROS1 (ROS proto-oncogene 1, receptor tyrosine kinase) [NCBI Gene 6098] {aka MCF3, ROS, c-ros-1}, CTLA4 (cytotoxic T-lymphocyte associated protein 4) [NCBI Gene 1493] {aka ALPS5, CD, CD152, CELIAC3, CTLA-4, GRD4}, ALK (ALK receptor tyrosine kinase) [NCBI Gene 238] {aka ALK1, CD246, NBLST3}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}
- **Diseases:** cardiac toxicity (MESH:D066126), fat overload syndrome (MESH:D004620), hypogonadism (MESH:D007006), metabolic disorders (MESH:D008659), thyroiditis (MESH:D013966), bladder dysfunction (MESH:D001745), hematological malignancies (MESH:D019337), fever (MESH:D005334), psoriasis (MESH:D011565), paronychia (MESH:D010304), anxiety disorders (MESH:D001008), pruritus (MESH:D011537), vomiting (MESH:D014839), respiratory impairment (MESH:D012131), rash (MESH:D005076), leukopenia (MESH:D007970), autoimmune diseases (MESH:D001327), Organ Dysfunction (MESH:D009102), arrhythmias (MESH:D001145), nausea (MESH:D009325), obesity (MESH:D009765), alveolar hemorrhage (MESH:D006470), cytomegalovirus [CMV] infection (MESH:D003586), COPD (MESH:D029424), fatigue (MESH:D005221), cachexia (MESH:D002100), cardiomyopathy (MESH:D009202), myositis (MESH:D009220), cryptococcal infection (MESH:D016919), acute kidney injury (MESH:D058186), diarrhea (MESH:D003967), myocarditis (MESH:D009205), CTIT (MESH:D000084202), anti (MESH:D006679), pneumonitis (MESH:D011014), -mediated (MESH:C567355), renal insufficiency (MESH:D051437), neurotoxic (MESH:D020258), hand-foot skin reaction (MESH:D060831), diabetes (MESH:D003920), lung disease (MESH:D008171), cancer (MESH:D009369), Guillain-Barre syndrome (MESH:D020275), vitiligo (MESH:D014820), pulmonary edema (MESH:D011654), HBV infection (MESH:D006509), edema (MESH:D004487), chronic kidney disease (MESH:D051436), electrolyte disturbances (MESH:D014883), pancreatitis (MESH:D010195), myasthenia (MESH:D020294), lung infections (MESH:D012141), Hepatic or renal dysfunction (MESH:D008107), inflammatory (MESH:D007249), Epstein-Barr virus [EBV] infection (MESH:D020031), hepatic/renal insufficiency (MESH:D048550), Pneumocystis jirovecii pneumonia (MESH:D011020), hyperglycemia (MESH:D006943), Pain (MESH:D010146), hypophysitis (MESH:D000072659)
- **Chemicals:** calcium phosphate (MESH:C020243), bleomycin (MESH:D001761), topotecan (MESH:D019772), Oxaliplatin (MESH:D000077150), bevacizumab (MESH:D000068258), cyclophosphamide (MESH:D003520), sunitinib (MESH:D000077210), tyrosine (MESH:D014443), fluorouracil (MESH:D005472), trastuzumab emtansine (MESH:D000080044), methotrexate (MESH:D008727), imatinib (MESH:D000068877), MVAC (MESH:C044361), testosterone (MESH:D013739), abemaciclib (MESH:C000590451), trametinib (MESH:C560077), Bortezomib (MESH:D000069286), bilirubin (MESH:D001663), paclitaxel (MESH:D017239), irinotecan (MESH:D000077146), trastuzumab (MESH:D000068878), gilteritinib (MESH:C000609080), platinum (MESH:D010984), ramucirumab (MESH:C543333), carmustine (MESH:D002330), anthracyclines (MESH:D018943), aminoglycosides (MESH:D000617), oxygen (MESH:D010100), nivolumab (MESH:D000077594), amivantamab (MESH:C000718215), anlotinib (MESH:C000625192), MMAE (MESH:C495575), gemcitabine (MESH:D000093542), docetaxel (MESH:D000077143), Creatinine (MESH:D003404), bisphosphonates (MESH:D004164), ifosfamide (MESH:D007069), avapritinib (MESH:C000707147), lomustine (MESH:D008130), taxanes (MESH:D043823), lipid (MESH:D008055), niraparib (MESH:C545685), duvelisib (MESH:C586691), lenvatinib (MESH:C531958), capecitabine (MESH:D000069287), temozolomide (MESH:D000077204), rituximab (MESH:D000069283), pazopanib (MESH:C516667), CAR-T (-), melphalan (MESH:D008558), Cisplatin (MESH:D002945), pemetrexed (MESH:D000068437), epirubicin (MESH:D015251), regorafenib (MESH:C559147), doxorubicin (MESH:D004317), denosumab (MESH:D000069448), everolimus (MESH:D000068338), mitomycin (MESH:D016685), carboplatin (MESH:D016190)
- **Species:** Hepatitis B virus (no rank) [taxon 10407], hepatitis C virus [taxon 11103], Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

74 references — full list in the complete paper: https://tomesphere.com/paper/PMC12950709/full.md

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Source: https://tomesphere.com/paper/PMC12950709