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Publications by Caijin Lin

Subdivision of M1 Stage for De Novo Metastatic Breast Cancer to Better Predict Prognosis and Response to Primary Tumor Surgery

Journal of the National Comprehensive Cancer Network : JNCCN

Medicine

Oncology

2019

English

Evaluation of the Incorporation of Recurrence Score Into the American Joint Committee on Cancer Eighth Edition Staging System in Patients With T1‐2N0M0, Estrogen Receptor‐Positive, Human Epidermal Growth Receptor 2‐Negative Invasive Breast Cancer: A Population‐Based Analysis

English

Related publications

Complete Response to Systemic Treatment Might Predict Better Survival Rates Regardless of Their Metastatic Patterns in De Novo Stage IV Breast Cancer Patients Undergoing Primary Surgery

European Journal of Surgical Oncology

English

Assessing Tumor Heterogeneity Using ctDNA to Predict and Monitor Therapeutic Response in Metastatic Breast Cancer

International Journal of Cancer

Cancer Research

Oncology

2019

English

De�novo Metastatic Breast Cancer: Subgroup Analysis of Molecular Subtypes and Prognosis

English

The Use of CT Findings to Predict Extent of Tumor at Primary Surgery for Ovarian Cancer

Obstetrical and Gynecological Survey

English

Prognosis of Breast Cancer With Small Primary Tumor (Pt1)

English

Activated Tumor-Infiltrating Fibroblasts Predict Worse Prognosis in Breast Cancer Patients

Journal of Cancer

Oncology

2018

English

Surgical Management of De Novo Stage IV Breast Cancer

Journal of the National Comprehensive Cancer Network : JNCCN

Medicine

Oncology

2015

English

Presence of Symptoms and Timing of Surgery Do Not Affect the Prognosis of Patients With Primary Metastatic Breast Cancer

European Journal of Surgical Oncology

English

A Method to Predict Breast Cancer Stage Using Medicare Claims

Epidemiologic Perspectives & Innovations

2010

English

Amanote Research

Discover open access scientific publications

Search, annotate, share and cite publications

Publications by Caijin Lin

Subdivision of M1 Stage for De Novo Metastatic Breast Cancer to Better Predict Prognosis and Response to Primary Tumor Surgery

Evaluation of the Incorporation of Recurrence Score Into the American Joint Committee on Cancer Eighth Edition Staging System in Patients With T1‐2N0M0, Estrogen Receptor‐Positive, Human Epidermal Growth Receptor 2‐Negative Invasive Breast Cancer: A Population‐Based Analysis

Related publications

Complete Response to Systemic Treatment Might Predict Better Survival Rates Regardless of Their Metastatic Patterns in De Novo Stage IV Breast Cancer Patients Undergoing Primary Surgery

Assessing Tumor Heterogeneity Using ctDNA to Predict and Monitor Therapeutic Response in Metastatic Breast Cancer

De�novo Metastatic Breast Cancer: Subgroup Analysis of Molecular Subtypes and Prognosis

The Use of CT Findings to Predict Extent of Tumor at Primary Surgery for Ovarian Cancer

Prognosis of Breast Cancer With Small Primary Tumor (Pt1)

Activated Tumor-Infiltrating Fibroblasts Predict Worse Prognosis in Breast Cancer Patients

Surgical Management of De Novo Stage IV Breast Cancer

Presence of Symptoms and Timing of Surgery Do Not Affect the Prognosis of Patients With Primary Metastatic Breast Cancer

A Method to Predict Breast Cancer Stage Using Medicare Claims